Role of Magnetic Resonance Imaging in Detection of Pathologic Complete Remission in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy: A Meta-analysis

Meta-DiSc: a software for meta-analysis of test accuracy data

Zamora, J., Abraira, V., Muriel, A., Khan, K. S., & Coomarasamy, A. (2006) · BMC Medical Research Methodology · doi:10.1186/1471-2288-6-31 · Cited by 1,887 · see citing works

Measurement of Residual Breast Cancer Burden to Predict Survival After Neoadjuvant Chemotherapy

Symmans, W. F., Peintinger, F., Hatzis, C., Rajan, R., Kuerer, H. M., Valero, V., Assad, L., Poniecka, A. W., Hennessy, B. T., Green, M. C., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2007.10.6823 · Cited by 1,655 · see citing works

Preoperative Chemotherapy in Patients With Operable Breast Cancer: Nine-Year Results From National Surgical Adjuvant Breast and Bowel Project B-18

Wolmark, N., Wang, J., Mamounas, E., Bryant, J., & Fisher, B. (2001) · JNCI Monographs · doi:10.1093/oxfordjournals.jncimonographs.a003469 · Cited by 1,299 · see citing works

The Effect on Tumor Response of Adding Sequential Preoperative Docetaxel to Preoperative Doxorubicin and Cyclophosphamide: Preliminary Results From National Surgical Adjuvant Breast and Bowel Project Protocol B-27

Bear, H. D., Anderson, S., Brown, A. M., Smith, R. E., Mamounas, E. P., Fisher, B., Margolese, R. G., Theoret, H., Soran, A., Wickerham, D. L., et al. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.12.005 · Cited by 1,118 · see citing works

Preoperative Chemotherapy in Primary Operable Breast Cancer: Results From the European Organization for Research and Treatment of Cancer Trial 10902

van der Hage, J. A., van de Velde, C. J. �., Julien, J.-P., Tubiana-Hulin, M., Vandervelden, C., Duchateau, L., & Cooperating Investigators (2001) · Journal of Clinical Oncology · doi:10.1200/jco.2001.19.22.4224 · Cited by 1,105 · see citing works

Sequential Preoperative or Postoperative Docetaxel Added to Preoperative Doxorubicin Plus Cyclophosphamide for Operable Breast Cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27

Bear, H. D., Anderson, S., Smith, R. E., Geyer, C. E., Mamounas, E. P., Fisher, B., Brown, A. M., Robidoux, A., Margolese, R. G., Kahlenberg, M. S., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.1665 · Cited by 943 · see citing works

Prospective Comparison of Mammography, Sonography, and MRI in Patients Undergoing Neoadjuvant Chemotherapy for Palpable Breast Cancer

Yeh, E. D., Slanetz, P. J., Kopans, D. B., Rafferty, E. A., Georgian-Smith, D., Moy, L. P., Halpern, E. F., Moore, R. H., Kuter, I., & Taghian, A. G. (2005) · American Journal of Roentgenology · doi:10.2214/ajr.184.3.01840868 · Cited by 400 · see citing works

Meta-Analysis of Magnetic Resonance Imaging in Detecting Residual Breast Cancer After Neoadjuvant Therapy

Marinovich, M. L., Houssami, N., Macaskill, P., Sardanelli, F., Irwig, L., Mamounas, E. P., von Minckwitz, G., Brennan, M. E., & Ciatto, S. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs528 · Cited by 383 · see citing works

Accuracy of MR Imaging for Revealing Residual Breast Cancer in Patients Who Have Undergone Neoadjuvant Chemotherapy

Partridge, S. C., Gibbs, J., Lü, Y., Esserman, L. J., Sudilovsky, D., & Hylton, N. M. (2002) · American Journal of Roentgenology · doi:10.2214/ajr.179.5.1791193 · Cited by 337 · see citing works

Accuracy of MRI in the Detection of Residual Breast Cancer After Neoadjuvant Chemotherapy

Rosen, E. L., Blackwell, K., Baker, J. A., Soo, M. S., Bentley, R. C., Yu, D., Samulski, T. V., & Dewhirst, M. W. (2003) · American Journal of Roentgenology · doi:10.2214/ajr.181.5.1811275 · Cited by 277 · see citing works

Combined chemotherapy-radiotherapy approach in locally advanced (T3b-T4) breast cancer

Lena, M. D., Zucali, R., Viganotti, G., Valagussa, P., & Bonadonna, G. (1978) · Cancer Chemotherapy and Pharmacology · doi:10.1007/bf00253147 · Cited by 272 · see citing works

Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients

Kong, X., Moran, M. S., Zhang, N., Haffty, B. G., & Yang, Q. (2011) · European Journal of Cancer · doi:10.1016/j.ejca.2011.06.014 · Cited by 265 · see citing works

Monitoring Response to Primary Chemotherapy in Breast Cancer using Dynamic Contrast-enhanced Magnetic Resonance Imaging

Martincich, L., Montemurro, F., Rosa, G. D., Marra, V., Ponzone, R., Cirillo, S., Gatti, M., Biglia, N., Sarotto, I., Sismondi, P., et al. (2004) · Breast Cancer Research and Treatment · doi:10.1023/b:brea.0000010700.11092.f4 · Cited by 238 · see citing works

The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review

Lobbes, M. B. I., Prevos, R., Smidt, M., Tjan-Heijnen, V. C. G., van Goethem, M., Schipper, R., Beets-Tan, R. G., & Wildberger, J. E. (2013) · Insights into Imaging · doi:10.1007/s13244-013-0219-y · Cited by 237 · see citing works

Locally advanced breast cancer: comparison of mammography, sonography and MR imaging in evaluation of residual disease in women receiving neoadjuvant chemotherapy

Londero, V., Bazzocchi, M., Frate, C. D., Puglisi, F., Loreto, C. D., Francescutti, G. E., & Zuiani, C. (2004) · European Radiology · doi:10.1007/s00330-004-2246-z · Cited by 229 · see citing works

Population-based Mammography Screening: Comparison of Screen-Film and Full-Field Digital Mammography with Soft-Copy Reading—Oslo I Study

Skaane, P., Young, K., & Skjennald, A. (2003) · Radiology · doi:10.1148/radiol.2293021171 · Cited by 221 · see citing works

Breast MRI for monitoring response of primary breast cancer to neo-adjuvant chemotherapy

Rieber, A., Brambs, H., Gabelmann, A., Heilmann, V., Kreienberg, R., & Kühn, T. (2002) · European Radiology · doi:10.1007/s00330-001-1233-x · Cited by 216 · see citing works

Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer

Santos, J. F. D. L., Cantor, A. B., Amos, K. D., Forero, A., Golshan, M. A., Horton, J. K., Hudis, C. A., Hylton, N. M., McGuire, K. P., Meric‐Bernstam, F., et al. (2013) · Cancer · doi:10.1002/cncr.27995 · Cited by 200 · see citing works

Imaging in Evaluation of Response to Neoadjuvant Breast Cancer Treatment Benefits of MRI

Balu-Maestro, C., Chapellier, C., Bleuse, A., Chanalet, I., Chauvel, C., & Largillier, R. (2002) · Breast Cancer Research and Treatment · doi:10.1023/a:1014856713942 · Cited by 189 · see citing works

MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy

Chen, J., Feig, B., Agrawal, G., Yu, H. J., Carpenter, P. M., Mehta, R. S., Nalcioğlu, O., & Su, M. (2007) · Cancer · doi:10.1002/cncr.23130 · Cited by 181 · see citing works

Identification of Residual Breast Carcinoma Following Neoadjuvant Chemotherapy: Diffusion-weighted Imaging—Comparison with Contrast-enhanced MR Imaging and Pathologic Findings

Woodhams, R., Kakita, S., Hata, H., Iwabuchi, K., Kuranami, M., Gautam, S., Hatabu, H., Kan, S., & Mountford, C. E. (2010) · Radiology · doi:10.1148/radiol.2542090405 · Cited by 158 · see citing works

Accuracy of MRI in Prediction of Pathologic Complete Remission in Breast Cancer After Preoperative Therapy: A Meta-Analysis

Yuan, Y., Chen, X., Liu, S., & Shen, K. (2010) · American Journal of Roentgenology · doi:10.2214/ajr.09.3908 · Cited by 151 · see citing works

Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging

Fangberget, A., Nilsen, L. B., Hole, K. H., Holmen, M. M., Engebraaten, O., Naume, B., Smith, H.-J., Olsen, D. R., & Seierstad, T. (2010) · European Radiology · doi:10.1007/s00330-010-2020-3 · Cited by 146 · see citing works

Clinical and Radiologic Assessments to Predict Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy

Schott, A. F., Roubidoux, M. A., Helvie, M. A., Hayes, D. F., Kleer, C. G., Newman, L. A., Pierce, L. J., Griffith, K. A., Murray, S., Hunt, K. A., et al. (2005) · Breast Cancer Research and Treatment · doi:10.1007/s10549-005-2510-1 · Cited by 141 · see citing works

The prognostic importance of triple negative breast carcinoma

Mersin, H., Yıldırım, E., Berberoğlu, U., & Gülben, K. (2008) · The Breast · doi:10.1016/j.breast.2007.11.031 · Cited by 138 · see citing works

Monitoring the Size and Response of Locally Advanced Breast Cancers to Neoadjuvant Chemotherapy (Weekly Paclitaxel and Epirubicin) with Serial Enhanced MRI

Cheung, Y., Chen, S.-C., Su, M., See, L., Hsueh, S., Chang, H., Lin, Y., & Tsai, C.-S. (2003) · Breast Cancer Research and Treatment · doi:10.1023/a:1022153327339 · Cited by 132 · see citing works

Comparison of mammography, sonography, MRI and clinical examination in patients with locally advanced or inflammatory breast cancer who underwent neoadjuvant chemotherapy

Shin, H. J., Kim, H. H., Ahn, J.-H., Kim, S.-B., Jung, K. H., Gong, G. Y., Son, B. H., & Ahn, S. H. (2011) · British Journal of Radiology · doi:10.1259/bjr/74430952 · Cited by 116 · see citing works

Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy

Wasser, K., Sinn, H., Fink, C., Klein, S., Junkermann, H., Lüdemann, H., ZUNA, I., & Delorme, S. (2003) · European Radiology · doi:10.1007/s00330-002-1730-6 · Cited by 114 · see citing works

Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer

Park, S. H., Moon, W. K., Cho, N., Chang, J. M., Im, S., Park, I. A., Kang, K. W., Han, W., & Noh, D. (2011) · European Radiology · doi:10.1007/s00330-011-2236-x · Cited by 105 · see citing works

Can Routine Imaging After Neoadjuvant Chemotherapy in Breast Cancer Predict Pathologic Complete Response?

Schaefgen, B., Mati, M., Sinn, H., Golatta, M., Stieber, A., Rauch, G., Hennigs, A., Richter, H., Domschke, C., Schütz, F., et al. (2015) · Annals of Surgical Oncology · doi:10.1245/s10434-015-4918-0 · Cited by 104 · see citing works

Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction–Diffusion Model

Weis, J. A., Miga, M. I., Arlinghaus, L. R., Li, X., Abramson, V. G., Chakravarthy, A. B., Pendyala, P., & Yankeelov, T. E. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-2945 · Cited by 101 · see citing works

MRI accuracy in residual disease evaluation in breast cancer patients treated with neoadjuvant chemotherapy

Belli, P., Costantini, M., Malaspina, C., Magistrelli, A., Torre, G. L., & Bonomo, L. (2006) · Clinical Radiology · doi:10.1016/j.crad.2006.07.004 · Cited by 96 · see citing works

Using MRI to plan breast-conserving surgery following neoadjuvant chemotherapy for early breast cancer

Bhattacharyya, M., Ryan, D. P., Carpenter, R., Vinnicombe, S., & Gallagher, C. (2008) · British Journal of Cancer · doi:10.1038/sj.bjc.6604171 · Cited by 95 · see citing works

Accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy in locally advanced breast cancer: Relation to response patterns on MRI

Kim, H. J., Im, Y., Kim, H. J., Im, Y., Han, B., Choi, N., Lee, J., Kim, H. J., Choi, Y., Ahn, J., et al. (2007) · Acta Oncologica · doi:10.1080/02841860701373587 · Cited by 87 · see citing works

Ultrasound is at least as good as magnetic resonance imaging in predicting tumour size post-neoadjuvant chemotherapy in breast cancer

Vriens, B. E. P. J., de Vries, B., Lobbes, M. B. I., van Gastel, S. M., van den Berkmortel, F. W. P. J., Smilde, T. J., van Warmerdam, L. J. C., de Boer, M., van Spronsen, D. J., Smidt, M. L., et al. (2015) · European Journal of Cancer · doi:10.1016/j.ejca.2015.10.010 · Cited by 85 · see citing works

Residual Breast Cancer Diagnosed by MRI in Patients Receiving Neoadjuvant Chemotherapy with and Without Bevacizumab

Bahri, S., Chen, J.-H., Mehta, R. S., Carpenter, P. M., Nie, K., Kwon, S. Y., Yu, H. J., Nalcioğlu, O., & Su, M. (2009) · Annals of Surgical Oncology · doi:10.1245/s10434-009-0441-5 · Cited by 77 · see citing works

Analysis of Factors that Influence the Accuracy of Magnetic Resonance Imaging for Predicting Response after Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

Ko, E. S., Han, B., Kim, R. B., Ko, E. Y., Shin, J. H., Hahn, S. Y., Nam, S. J., Lee, J. E., Lee, S. K., Im, Y., et al. (2013) · Annals of Surgical Oncology · doi:10.1245/s10434-013-2925-6 · Cited by 75 · see citing works

Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion‐weighted imaging and MRS

Shin, H. J., Baek, H., Ahn, J., Baek, S., Kim, H., Cha, J. H., & Kim, H. H. (2012) · NMR in Biomedicine · doi:10.1002/nbm.2807 · Cited by 74 · see citing works

Magnetic Resonance Imaging in the Breast Cancer Patient: Curb Your Enthusiasm

Morrow, M. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.7314 · Cited by 74 · see citing works

Combined use of MRI and PET to monitor response and assess residual disease for locally advanced breast cancer treated with neoadjuvant chemotherapy1

Chen, X., Moore, M. O., Lehman, C. D., Mankoff, D. A., Lawton, T. J., Peacock, S., Schubert, E. K., & Livingston, R. B. (2004) · Academic Radiology · doi:10.1016/j.acra.2004.07.007 · Cited by 74 · see citing works

p53, Rb, and cyclin D1 expression in human oral verrucous carcinomas

Gimenez-Conti, I. B., Collet, A., Lanfranchi, H. E., Itoiz, M. E., Luna, M. A., Xu, H., Hu, S.-X., Benedict, W. F., & Conti, C. J. (1996) · Cancer · doi:10.1002/(sici)1097-0142(19960701)78:1 · Cited by 69 · see citing works

Diffusion-weighted Imaging in Evaluating the Response to Neoadjuvant Breast Cancer Treatment

Belli, P., Costantini, M., Ierardi, C., Bufi, E., Amato, D., Mulè, A., Nardone, L., Terribile, D. A., & Bonomo, L. (2011) · The Breast Journal · doi:10.1111/j.1524-4741.2011.01160.x · Cited by 65 · see citing works

Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer

Hayashi, Y., Takei, H., Nozu, S., Tochigi, Y., Ichikawa, A., KOBAYASHI, N., Kurosumi, M., Inoue, K., YOSHIDA, T., Nagai, S. E., et al. (2012) · Oncology Letters · doi:10.3892/ol.2012.1004 · Cited by 65 · see citing works

MRI-Model to Guide the Surgical Treatment in Breast Cancer Patients After Neoadjuvant Chemotherapy

Straver, M. E., Loo, C. E., Rutgers, E. J. T., Oldenburg, H. S. A., Wesseling, J., Peeters, M.-J. T. F. D. V., & Gilhuijs, K. G. A. (2010) · Annals of Surgery · doi:10.1097/sla.0b013e3181c5dda3 · Cited by 63 · see citing works

Age and HER2 expression status affect MRI accuracy in predicting residual tumor extent after neo-adjuvant systemic treatment

Moon, H., Han, W., Lee, J. W., Ko, E. S., Kim, E., Yu, J. H., Kang, S. Y., Moon, W. K., Cho, N., Park, I.-A., et al. (2009) · Annals of Oncology · doi:10.1093/annonc/mdn683 · Cited by 59 · see citing works

Assessment of residual tumour by FDG-PET: conventional imaging and clinical examination following primary chemotherapy of large and locally advanced breast cancer

Dose-Schwarz, J., Tiling, R., Avril-Sassen, S., Mahner, S., Lebeau, A., Weber, C., Schwaiger, M., Jänicke, F., Untch, M., & Avril, N. E. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6605427 · Cited by 58 · see citing works

Accuracy of magnetic resonance imaging for predicting pathological complete response of breast cancer after neoadjuvant chemotherapy: association with breast cancer subtype

Fukuda, T., Horii, R., Gomi, N., Miyagi, Y., Takahashi, S., Ito, Y., Akiyama, F., Ohno, S., & Iwase, T. (2016) · SpringerPlus · doi:10.1186/s40064-016-1800-x · Cited by 57 · see citing works

The Role of18F-FDG PET/CT and MRI in Assessing Pathological Complete Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer: A Systematic Review and Meta-Analysis

Liu, Q., Wang, C., Li, P., Liu, J., Huang, G., & Song, S. (2016) · BioMed Research International · doi:10.1155/2016/3746232 · Cited by 54 · see citing works

The role of PET CT to evaluate the response to neoadjuvant chemotherapy in advanced breast cancer: Comparison with ultrasonography and magnetic resonance imaging

Choi, J. H., Lim, H. I., Lee, S. K., Kim, W. W., Kim, S. M., Cho, E., Ko, E. Y., Han, B., Park, Y. H., Ahn, J., et al. (2009) · Journal of Surgical Oncology · doi:10.1002/jso.21424 · Cited by 50 · see citing works

Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients

Bouzón, A., Nebril, B. A., Soler, R., Iglesias, Á., Santiago, P., Mosquera, J., Calvo, L., Seoane‐Pillado, T., & García, A. (2016) · Radiology and Oncology · doi:10.1515/raon-2016-0007 · Cited by 47 · see citing works

MR Imaging for Assessment of Breast Cancer Response to Neoadjuvant Chemotherapy

Hylton, N. M. (2006) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2006.09.001 · Cited by 45 · see citing works

Neoadjuvant systemic treatment of breast cancer

Makhoul, I., & Kiwan, E. N. (2011) · Journal of Surgical Oncology · doi:10.1002/jso.21696 · Cited by 44 · see citing works

Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy

Hahn, S. Y., Ko, E. Y., Han, B., Shin, J. H., & Ko, E. S. (2013) · European Journal of Radiology · doi:10.1016/j.ejrad.2013.10.023 · Cited by 44 · see citing works

Accuracy of Breast Magnetic Resonance Imaging in Predicting Pathologic Response in Patients Treated With Neoadjuvant Chemotherapy

Santos, J. D. L., Bernreuter, W. K., Keene, K. S., Krontiras, H., Carpenter, J. T., Bland, K. I., Cantor, A. B., & Forero, A. (2011) · Clinical Breast Cancer · doi:10.1016/j.clbc.2011.06.007 · Cited by 41 · see citing works

Effect of breast cancer phenotype on diagnostic performance of MRI in the prediction to response to neoadjuvant treatment

Bufi, E., Belli, P., Matteo, M. D., Terribile, D. A., Franceschini, G., Nardone, L., Petrone, G., & Bonomo, L. (2014) · European Journal of Radiology · doi:10.1016/j.ejrad.2014.05.002 · Cited by 40 · see citing works

Diagnostic Performance of Magnetic Resonance Imaging for Assessing Tumor Response in Patients With HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy is Associated With Molecular Biomarker Profile

Kuzucan, A., Chen, J., Bahri, S., Mehta, R. S., Carpenter, P. M., Fwu, P. T., Yu, H. J., Hsiang, D. J. B., Lane, K. T., Butler, J., et al. (2012) · Clinical Breast Cancer · doi:10.1016/j.clbc.2012.01.009 · Cited by 39 · see citing works

Recurrence and survival among breast cancer patients achieving a pathological complete response to neoadjuvant chemotherapy

Chaudry, M., Lei, X. J., Gonzalez-Angulo, A. M., Mittendorf, E. A., Valero, V., Tripathy, D., Hortobágyi, G. N., & Chávez‐MacGregor, M. (2015) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3533-x · Cited by 39 · see citing works

Shear-Wave Elastography for the Detection of Residual Breast Cancer After Neoadjuvant Chemotherapy

Lee, S. H., Chang, J. M., Han, W., Moon, H., Koo, H. R., Gweon, H. M., Kim, W. H., Noh, D., & Moon, W. K. (2015) · Annals of Surgical Oncology · doi:10.1245/s10434-015-4828-1 · Cited by 38 · see citing works

The assessment of breast cancer response to neoadjuvant chemotherapy: comparison of magnetic resonance imaging and 18 F-fluorodeoxyglucose positron emission tomography

Park, J. S., Moon, W. K., Lyou, C. Y., Cho, N., Kang, K. W., & Chung, J. (2011) · Acta Radiologica · doi:10.1258/ar.2010.100142 · Cited by 37 · see citing works

Optimal assessment of residual disease after neo‐adjuvant therapy for locally advanced and inflammatory breast cancer—clinical examination, mammography, or magnetic resonance imaging?

Wright, F. C., Zubovits, J. T., Gardner, S. L., Fitzgerald, B., Clemons, M. J., Quan, M. L., & Causer, P. A. (2010) · Journal of Surgical Oncology · doi:10.1002/jso.21559 · Cited by 37 · see citing works

Corrigendum to “The Role of 18F-FDG PET/CT and MRI in Assessing Pathological Complete Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer: A Systematic Review and Meta-Analysis”

Liu, Q., Wang, C., Li, P., Liu, J., Huang, G., & Song, S. (2016) · BioMed Research International · doi:10.1155/2016/1235429 · Cited by 36 · see citing works

Prospective Trial of Breast MRI Versus 2D and 3D Ultrasound for Evaluation of Response to Neoadjuvant Chemotherapy

Lee, M. C., González, S. J., Lin, H., Zhao, X., Kiluk, J. V., Laronga, C., & Mooney, B. P. (2015) · Annals of Surgical Oncology · doi:10.1245/s10434-014-4357-3 · Cited by 34 · see citing works

Dynamic contrast-enhanced MRI and sonography in patients receiving primary chemotherapy for breast cancer

Montemurro, F., Martincich, L., Rosa, G. D., Cirillo, S., Marra, V., Biglia, N., Gatti, M., Sismondi, P., Aglietta, M., & Regge, D. (2005) · European Radiology · doi:10.1007/s00330-005-2656-6 · Cited by 34 · see citing works

Locally Advanced Breast Cancer Treated with Primary Chemotherapy: Comparison between Magnetic Resonance Imaging and Pathologic Evaluation of Residual Disease

Trecate, G., Ceglia, E., Stabile, F., Tesoro-Tess, J. D., Mariani, G., Zambetti, M., & Musumeci, R. (1999) · Tumori Journal · doi:10.1177/030089169908500402 · Cited by 34 · see citing works

Predicting Nodal Status Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Patients With Locally Advanced Breast Cancer Undergoing Neoadjuvant Chemotherapy With and Without Sequential Trastuzumab

Hsiang, D. J. B. (2007) · Archives of Surgery · doi:10.1001/archsurg.142.9.855 · Cited by 32 · see citing works

Magnetic Resonance Imaging in Comparison to Clinical Palpation in Assessing the Response of Breast Cancer to Epirubicin Primary Chemotherapy

Bodini, M., Berruti, A., Bottini, A., Allevi, G., Fiorentino, C., Brizzi, M. P., Bersiga, A., Generali, D., Volpi, D., Marini, U. P., et al. (2004) · Breast Cancer Research and Treatment · doi:10.1023/b:brea.0000025409.69516.23 · Cited by 32 · see citing works

Utilisation of MR spectroscopy and diffusion weighted imaging in predicting and monitoring of breast cancer response to chemotherapy

Leong, K. M., Lau, P., & Ramadan, S. A. (2015) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.12310 · Cited by 31 · see citing works

Diagnostic performance of breast-specific gamma imaging in the assessment of residual tumor after neoadjuvant chemotherapy in breast cancer patients

Lee, H. S., Ko, B. S., Ahn, S. H., Son, B. H., Lee, J. W., Kim, H. J., Yu, J. H., Kim, S., Jung, K. H., Ahn, J., et al. (2014) · Breast Cancer Research and Treatment · doi:10.1007/s10549-014-2920-z · Cited by 31 · see citing works

Recurrence rates after DCE-MRI image guided planning for breast-conserving surgery following neoadjuvant chemotherapy for locally advanced breast cancer patients

Garimella, V., Qutob, O., Fox, J. N., Long, E. D., Chaturvedi, A., Turnbull, L. W., & Drew, P. J. (2006) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2006.09.019 · Cited by 29 · see citing works

Dynamic Breast Magnetic Resonance Imaging: Pretreatment Prediction of Tumor Response to Neoadjuvant Chemotherapy

Dong-feng, H., Ma, D., & Erhu, J. (2012) · Clinical Breast Cancer · doi:10.1016/j.clbc.2011.11.002 · Cited by 22 · see citing works

Magnetic resonance mammography has limited ability to estimate pathological complete remission after primary chemotherapy or radiofrequency ablation therapy

Nakamura, S., Ishiyama, M., & Tsunoda-Shimizu, H. (2007) · Breast Cancer · doi:10.2325/jbcs.951 · Cited by 22 · see citing works

Magnetic resonance imaging shrinkage patterns following neoadjuvant chemotherapy for breast carcinomas with an emphasis on the radiopathological correlations

Tomida, K., Ishida, M., Umeda, T., Sakai, S., Kawai, Y., Mori, T., Kubota, Y., Mekata, E., Naka, S., Abe, H., et al. (2014) · Molecular and Clinical Oncology · doi:10.3892/mco.2014.333 · Cited by 22 · see citing works

The detection of pCR after PST by contrast-enhanced ultrasonography for breast cancer

Fujisawa, T., Hirakata, T., Yanagita, Y., Iijima, M., Horikoshi, H., Takeuchi, K., & Saitoh, Y. (2011) · Breast Cancer · doi:10.1007/s12282-011-0311-4 · Cited by 18 · see citing works

Magnetic resonance imaging evaluation of residual tumors in breast cancer after neoadjuvant chemotherapy: surgical implications

Zhou, J., Li, G., Sheng, F., Qiao, P., Zhang, H., & Xing, X.-D. (2015) · Acta Radiologica · doi:10.1177/0284185115597263 · Cited by 16 · see citing works

The Validity of MRI in Evaluation of the Tumor Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

Abedi, M. (2012) · PubMed · doi:10.1594/ecr2013//c-0091 · Cited by 15 · see citing works

Diffusion-weighted magnetic resonance imaging for assessment after neoadjuvant chemotherapy in breast cancer, based on morphological concepts

Murata, Y., KUBOTA, K., Hamada, N., Miyatake, K., Tadokoro, M., Nakatani, K., Ue, H., TSUZUKI, K., Nishioka, A., Iguchi, M., et al. (2010) · Oncology Letters · doi:10.3892/ol_00000052 · Cited by 14 · see citing works

MRI in diagnosis of pathological complete response in breast cancer patients after neoadjuvant chemotherapy

Li, Y., Zhang, X., Li, J., Cao, K., Cui, Y., Li, X.-T., & Sun, Y. (2014) · European Journal of Radiology · doi:10.1016/j.ejrad.2014.11.029 · Cited by 14 · see citing works

Effective factors to raise diagnostic performance of breast MRI for diagnosing pathologic complete response in breast cancer patients after neoadjuvant chemotherapy

Choi, B. B., & Kim, S. H. (2014) · Acta Radiologica · doi:10.1177/0284185114538622 · Cited by 14 · see citing works

What's New in Neoadjuvant Therapy for Breast Cancer?

Beasley, G. M., & Olson, J. A. (2010) · Advances in Surgery · doi:10.1016/j.yasu.2010.05.013 · Cited by 12 · see citing works

Correlation between Magnetic Resonance Imaging and Histopathological Tumor Response after Neoadjuvant Chemotherapy in Breast Cancer

Nicoletto, M. O., Nitti, D., Pescarini, L., Corbetti, F., Mencarelli, R., Cappetta, A., Galligioni, A., Pogliani, C., Marchet, A., Bozza, F. A., et al. (2008) · Tumori Journal · doi:10.1177/030089160809400407 · Cited by 11 · see citing works

Comparison of breast magnetic resonance imaging clinical tumor size with pathologic tumor size in patients status post-neoadjuvant chemotherapy

Williams, M., Eatrides, J. M., Kim, J., Talwar, H., Esposito, N. N., Szabunio, M. M., Ismail-Khan, R. R., Kiluk, J. V., Lee, M., Laronga, C., et al. (2013) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2013.02.006 · Cited by 11 · see citing works

Role of magnetic resonance imaging in the pre and postchemotherapy evaluation in locally advanced breast carcinoma.

Belli, P., Romani, M., Costantini, M., Magistrelli, A., Terribile, D. A., Nardone, L., & Pastore, G. (2002) · PubMed · Cited by 11 · see citing works

MRI evaluation of residual breast cancer after neoadjuvant chemotherapy: influence of patient, tumor and chemotherapy characteristics on the correlation with pathological response.

Diguisto, C., Ouldamer, L., Arbion, F., Vilde, A., & Body, G. (2015) · PubMed · Cited by 8 · see citing works

Abstract P2-02-11: Accuracy of MRI and ultrasonography in predicting pathologic complete response in breast cancer patients treated with neoadjuvant chemotherapy

Hayashi, N., Tsunoda, H., Matsuda, N., Nakamura, S., Tsugawa, K., Akiyama, F., Takahashi, Y., Yoshida, A., Yagata, H., Suzuki, K., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.sabcs13-p2-02-11 · Cited by 1 · see citing works

Can MRI accurately identify which patients with operable breast cancer will have a pathologic complete response after neoadjuvant therapy?

Nessim, C., Trop, I., Robidoux, A., Mamounas, E. P., & Boileau, J.-F. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.30.15_suppl.616 · Cited by 1 · see citing works

Diffusion MRI of the breast: Current status and future directions

Iima, M., Honda, M., Sigmund, E. E., Kishimoto, A. O., Kataoka, M., & Togashi, K. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26908 · Cited by 187 · see citing works

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

Huang, Y., Zhu, T., Zhang, X., Li, W., Zheng, X., Cheng, M., Ji, F., Zhang, L., Yang, C., Wu, Z., et al. (2023) · eClinicalMedicine · doi:10.1016/j.eclinm.2023.101899 · Cited by 175 · see citing works

Abbreviated Magnetic Resonance Imaging (MRI) for Breast Cancer Screening: Rationale, Concept, and Transfer to Clinical Practice

Kuhl, C. K. (2019) · Annual Review of Medicine · doi:10.1146/annurev-med-121417-100403 · Cited by 145 · see citing works

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset

Ha, R. S., Chin, C., Karcich, J., Liu, M. Z., Chang, P., Mutasa, S., Sant, E. P. V., Wynn, R. T., Connolly, E. P., & Jambawalikar, S. (2018) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-018-0144-1 · Cited by 132 · see citing works

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

Sutton, E. J., Onishi, N., Fehr, D., Dashevsky, B. Z., Sadinski, M., Pinker, K., Martinez, D. F., Brogi, E., Braunstein, L. Z., Razavi, P., et al. (2020) · Breast Cancer Research · doi:10.1186/s13058-020-01291-w · Cited by 102 · see citing works

miR-613 inhibits cell migration and invasion by downregulating Daam1 in triple-negative breast cancer

Xiong, H., Yan, T., Zhang, W., Shi, F., Jiang, X., Wang, X., Li, S., Chen, Y., Chen, C. Y., & Zhu, Y. (2018) · Cellular Signalling · doi:10.1016/j.cellsig.2018.01.013 · Cited by 101 · see citing works

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method

Qu, Y., Zhu, H., Cao, K., Li, X., Ye, M., & Sun, Y. (2020) · Thoracic Cancer · doi:10.1111/1759-7714.13309 · Cited by 96 · see citing works

Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram

Kim, S., Cho, N., Choi, Y., Lee, S. H., Ha, S. M., Kim, E. S., Chang, J. M., & Moon, W. K. (2021) · Radiology · doi:10.1148/radiol.2021203871 · Cited by 89 · see citing works

Radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer predicts recurrence-free survival but not pathologic complete response (pCR)

Gampenrieder, S. P., Peer, A., Weismann, C., Meissnitzer, M. W., Rinnerthaler, G., Webhofer, J., Westphal, T., Riedmann, M., Meißnitzer, T., Egger, H., et al. (2019) · Breast Cancer Research · doi:10.1186/s13058-018-1091-y · Cited by 88 · see citing works

The Diagnostic Performance of DCE-MRI in Evaluating the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis

Cheng, Q., Huang, J., Liang, J., Ma, M., Ye, K., Shi, C., & Luo, L. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00093 · Cited by 81 · see citing works

Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks

Byra, M., Dobruch‐Sobczak, K., Klimonda, Z., Piotrzkowska‐Wróblewska, H., & Litniewski, J. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3008040 · Cited by 76 · see citing works

MRI to assess response after neoadjuvant chemotherapy in breast cancer subtypes: a systematic review and meta-analysis

Janssen, L. M., den Dekker, B. M., Gilhuijs, K. G. A., van Diest, P. J., van der Wall, E., & Elias, S. G. (2022) · npj Breast Cancer · doi:10.1038/s41523-022-00475-1 · Cited by 71 · see citing works

Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography

Fernandes, J. P., Sannachi, L., Tran, W. T., Koven, A. B., Watkins, E. J., Hadizad, F., Gandhi, S., Wright, F. C., Curpen, B. N., Kaffas, A. E., et al. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.05.004 · Cited by 52 · see citing works

The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis

Tang, S., Xiang, C., & Yang, Q. (2020) · British Journal of Radiology · doi:10.1259/bjr.20200301 · Cited by 52 · see citing works

Diffusion-weighted imaging in identifying breast cancer pathological response to neoadjuvant chemotherapy: A meta-analysis

Chu, W., Jin, W., Liu, D., Wang, J., Geng, C., Chen, L., & Huang, X. (2017) · Oncotarget · doi:10.18632/oncotarget.23195 · Cited by 49 · see citing works

Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers

Tan, W., Yang, M. W., Yang, H., Zhou, F., & Shen, W. (2018) · Cancer Management and Research · doi:10.2147/cmar.s174435 · Cited by 49 · see citing works

A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer

Mao, N., Dai, Y., Zhou, H., Lin, F., Zheng, T., Li, Z., Yang, P., Zhao, F., Li, Q., Wang, W., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr1576 · Cited by 51 · see citing works

Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours

Lu, G., Tian, R., Yang, W. P., Liu, R., Liu, D., Xiang, Z., & Zhang, G. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1402967 · Cited by 46 · see citing works

Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour

Kim, S., Cho, N., Shin, S. U., Lee, H., Han, W., Park, I. A., Kwon, B. R., Kim, S., Lee, S. H., Chang, J. M., et al. (2018) · European Radiology · doi:10.1007/s00330-017-5251-8 · Cited by 43 · see citing works

Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results

Furman‐Haran, E., Nissan, N., Selma, V. R., Martinez-Rubio, C., Degani, H., & Herrero, J. C. (2017) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25855 · Cited by 42 · see citing works

Meta-analysis of neoadjuvant therapy and its impact in facilitating breast conservation in operable breast cancer

Karakatsanis, A., Tasoulis, M. K., Wärnberg, F., Nilsson, G. P., & MacNeill, F. A. (2018) · British journal of surgery · doi:10.1002/bjs.10807 · Cited by 42 · see citing works

DWI in the Assessment of Breast Lesions

Partridge, S. C., & Amornsiripanitch, N. (2017) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000137 · Cited by 38 · see citing works

The diagnostic accuracy of magnetic resonance imaging in predicting pathologic complete response after neoadjuvant chemotherapy in patients with different molecular subtypes of breast cancer

Zhang, X., Wang, D., Liu, Z., Wang, Z., Li, Q., Xu, H., Zhang, B., Liu, T., & Jin, F. (2019) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2019.11.16 · Cited by 37 · see citing works

Diffusion Breast MRI: Current Standard and Emerging Techniques

Mendez, A. M., Fang, L. K., Meriwether, C. H., Batasin, S. J., Loubrie, S., Rodríguez‐Soto, A. E., & Rakow‐Penner, R. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.844790 · Cited by 35 · see citing works

Comparison of MRI and US in Tumor Size Evaluation of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy

Taydaş, O., Durhan, G., Akpınar, M. G., & Demirkazık, F. (2019) · European Journal of Breast Health · doi:10.5152/ejbh.2019.4547 · Cited by 33 · see citing works

A Noninvasive Tool Based on Magnetic Resonance Imaging Radiomics for the Preoperative Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Li, C., Lu, N., He, Z., Tan, Y., Liu, Y., Chen, Y., Wu, Z., Liu, J., Ren, W., Mao, L., et al. (2022) · Annals of Surgical Oncology · doi:10.1245/s10434-022-12034-w · Cited by 31 · see citing works

Diffusion-weighted imaging in monitoring the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis

Gao, W., Guo, N., & Dong, T. (2018) · World Journal of Surgical Oncology · doi:10.1186/s12957-018-1438-y · Cited by 30 · see citing works

Complete response on MR imaging after neoadjuvant chemotherapy in breast cancer patients: Factors of radiologic-pathologic discordance

Choi, W. J., Kim, H. H., Cha, J. H., Shin, H. J., Chae, E. Y., & Yoon, G. Y. (2019) · European Journal of Radiology · doi:10.1016/j.ejrad.2019.06.017 · Cited by 29 · see citing works

Machine Learning Models and Multiparametric Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer

Vicent, C. H., Tudela, X., Ruiz, P. M., Pedralva, V., Jiménez-Pastor, A., Ahicart, D., Novella, S. R., Meneu, I., Albuixech, Á. M., Santamaria, M. Á., et al. (2022) · Cancers · doi:10.3390/cancers14143508 · Cited by 26 · see citing works

The diagnostic performance of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in evaluating the pathological response of breast cancer to neoadjuvant chemotherapy: A meta-analysis

Li, Z., Li, J., Lu, X., Qu, M., Tian, J., & Lei, J. (2021) · European Journal of Radiology · doi:10.1016/j.ejrad.2021.109931 · Cited by 25 · see citing works

Is Technetium-99m Sestamibi Imaging Able to Predict Pathologic Nonresponse to Neoadjuvant Chemotherapy in Breast Cancer? A Meta-analysis Evaluating Current Use and Shortcomings

Collarino, A., de Koster, E. J., Olmos, R. A. V., de Geus‐Oei, L., & Arias‐Bouda, L. M. P. (2017) · Clinical Breast Cancer · doi:10.1016/j.clbc.2017.06.008 · Cited by 25 · see citing works

Role of MR Imaging in Neoadjuvant Therapy Monitoring

Le‐Petross, H. T., & Lim, B. (2018) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2017.12.011 · Cited by 25 · see citing works

Prediction of breast cancer and axillary positive-node response to neoadjuvant chemotherapy based on multi-parametric magnetic resonance imaging radiomics models

Lin, Y. Y., Wang, J., Li, M., Zhou, C., Hu, Y., Wang, M., & Zhang, X. (2024) · The Breast · doi:10.1016/j.breast.2024.103737 · Cited by 24 · see citing works

Ultrasound echogenicity reveals the response of breast cancer to chemotherapy

Dobruch‐Sobczak, K., Piotrzkowska‐Wróblewska, H., Klimonda, Z., Roszkowska‐Purska, K., & Litniewski, J. (2019) · Clinical Imaging · doi:10.1016/j.clinimag.2019.01.021 · Cited by 24 · see citing works

PET Imaging for Breast Cancer

Fowler, A. M., & Cho, S. Y. (2021) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2021.05.004 · Cited by 24 · see citing works

Contrast-enhanced ultrasound for evaluating the pathologic response of breast cancer to neoadjuvant chemotherapy

Jia, K., Li, L., Wu, X. J., Hao, M. J., & Xue, H. Y. (2019) · Medicine · doi:10.1097/md.0000000000014258 · Cited by 23 · see citing works

MRI Performance in Detecting pCR After Neoadjuvant Chemotherapy by Molecular Subtype of Breast Cancer

Yu, N., Leung, V. W. Y., & Meterissian, S. H. (2019) · World Journal of Surgery · doi:10.1007/s00268-019-05032-9 · Cited by 23 · see citing works

Head-to-head comparison of contrast-enhanced mammography and contrast-enhanced MRI for assessing pathological complete response to neoadjuvant therapy in patients with breast cancer: a meta-analysis

Min, K., Tong, L., Leilei, T., Li, W., & Ji, B. (2023) · Breast Cancer Research and Treatment · doi:10.1007/s10549-023-07034-7 · Cited by 22 · see citing works

Magnetic Resonance Imaging (MRI) Assessment of Residual Breast Cancer After Neoadjuvant Chemotherapy: Relevance to Tumor Subtypes and MRI Interpretation Threshold

Kim, Y. J., Sim, S. H., Park, B., Lee, K. S., Chae, I. H., Park, I. H., Kwon, Y., Jung, S., Lee, S., Ko, K., et al. (2018) · Clinical Breast Cancer · doi:10.1016/j.clbc.2018.05.009 · Cited by 21 · see citing works

Multiparametric ultrasound examination for response assessment in breast cancer patients undergoing neoadjuvant therapy

Dobruch‐Sobczak, K., Piotrzkowska‐Wróblewska, H., Klimonda, Z., Karwat, P., Roszkowska‐Purska, K., Clauser, P., Baltzer, P., & Litniewski, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-82141-3 · Cited by 21 · see citing works

A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Wang, J., Chu, Y., Wang, B., & Jiang, T. (2021) · Cancer Management and Research · doi:10.2147/cmar.s331665 · Cited by 20 · see citing works

MRI Volume Changes of Axillary Lymph Nodes as Predictor of Pathologic Complete Responses to Neoadjuvant Chemotherapy in Breast Cancer

Cattell, R. F., Kang, J. J., Ren, T., Huang, P., Muttreja, A., Dacosta, S., Li, H., Baer, L. N., Clouston, S., Palermo, R., et al. (2019) · Clinical Breast Cancer · doi:10.1016/j.clbc.2019.06.006 · Cited by 19 · see citing works

Lipid-weighted intraoperative photoacoustic tomography of breast tumors: Volumetric comparison to preoperative MRI

Kosik, I., Brackstone, M., Kornecki, A., Chamson-Reig, A., Wong, P., & Carson, J. J. L. (2020) · Photoacoustics · doi:10.1016/j.pacs.2020.100165 · Cited by 19 · see citing works

Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [18F]FDG-PET/MRI

Jannusch, K., Dietzel, F., Bruckmann, N. M., Morawitz, J., Boschheidgen, M., Minko, P., Bittner, A., Mohrmann, S., Quick, H. H., Herrmann, K., et al. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06513-9 · Cited by 18 · see citing works

Neoadjuvant treatment for intermediate/high-risk HER2-positive and triple-negative breast cancers: no longer an ‘option’ but an ethical obligation

Brandão, M., Reyal, F., Hamy, A., & Piccart, M. J. (2019) · ESMO Open · doi:10.1136/esmoopen-2019-000515 · Cited by 17 · see citing works

Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome

Kontopodis, E., Venianaki, M., Manikis, G. C., Nikiforaki, K., Salvetti, O., Papadaki, E. Z., Papadakis, G. Z., Karantanas, A. H., & Kostas Marias, A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2895459 · Cited by 17 · see citing works

Accuracy of Preoperative Contrast-enhanced Cone Beam Breast CT in Assessment of Residual Tumor after Neoadjuvant Chemotherapy: A Comparative Study with Breast MRI

Wang, Y., Zhao, M., Ma, Y., Liu, A., Zhu, Y., Yin, L., Liang, Z., Qu, Z., Lu, H., Ma, Y., et al. (2023) · Academic Radiology · doi:10.1016/j.acra.2022.12.027 · Cited by 15 · see citing works

Prediction of Tumor Progression During Neoadjuvant Chemotherapy and Survival Outcome in Patients With Triple-Negative Breast Cancer

Yoen, H., Kim, S., Lee, D., Lee, H., & Cho, N. (2023) · Korean Journal of Radiology · doi:10.3348/kjr.2022.0974 · Cited by 14 · see citing works

Multiparametric MR imaging to assess response following neoadjuvant systemic treatment in various breast cancer subtypes: Comparison between different definitions of pathologic complete response

Santamaría, G., Bargalló, X., Ganau, S., Alonso, I., Muñoz-Mateu, M., Mollà, M., Fernandez, P. R., & Prat, A. (2019) · European Journal of Radiology · doi:10.1016/j.ejrad.2019.06.009 · Cited by 14 · see citing works

Do Decreased Breast Microcalcifications After Neoadjuvant Chemotherapy Predict Pathologic Complete Response?

Fushimi, A., Kudo, R., & Takeyama, H. (2019) · Clinical Breast Cancer · doi:10.1016/j.clbc.2019.05.015 · Cited by 14 · see citing works

Multiparametric Contrast-Enhanced Ultrasound in Early Prediction of Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival in Breast Cancer

Wan, C., Zhou, L., Li, H., Wang, L., Li, F., Yin, W., Wang, Y., Jiang, L., & Lu, J. (2023) · Diagnostics · doi:10.3390/diagnostics13142378 · Cited by 13 · see citing works

Association between gastrin-releasing peptide receptor expression as assessed with [68Ga]Ga-RM2 PET/CT and histopathological tumor regression after neoadjuvant chemotherapy in primary breast cancer

Michalski, K., Stoykow, C., Bronsert, P., Juhasz‐Böss, I., Meyer, P. T., Ruf, J., Erbes, T., & Asberger, J. (2020) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2020.05.003 · Cited by 13 · see citing works

Prediction of Primary Tumour and Axillary Lymph Node Response to Neoadjuvant Chemo(Targeted) Therapy with Dedicated Breast [18F]FDG PET/MRI in Breast Cancer

de Mooij, C. M., van Nijnatten, T. J. A., Goorts, B., Kooreman, L. F. S., Raymakers, I. W. M., van Meijl, S. P. L., de Boer, M., Keymeulen, K., Wildberger, J. E., Mottaghy, F. M., et al. (2023) · Cancers · doi:10.3390/cancers15020401 · Cited by 12 · see citing works

A review of quantitative diffusion-weighted MR imaging for breast cancer: Towards noninvasive biomarker

Yao, F., & Zhang, Y. (2023) · Clinical Imaging · doi:10.1016/j.clinimag.2023.03.016 · Cited by 12 · see citing works

Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role

Herrero, J. C. (2019) · BJR|Open · doi:10.1259/bjro.20180049 · Cited by 12 · see citing works

Time Course Changes of Synthetic Relaxation Time During Neoadjuvant Chemotherapy in Breast Cancer: The Optimal Parameter for Treatment Response Evaluation

Zhao, R., Du, S., Si, G., Shi, J. C., & Zhang, L. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28597 · Cited by 11 · see citing works

Comparison of MRI vs. [18F]FDG PET/CT for Treatment Response Evaluation of Primary Breast Cancer after Neoadjuvant Chemotherapy: Literature Review and Future Perspectives

Caracciolo, M., Castello, A., Urso, L., Borgia, F., Marzola, M. C., Uccelli, L., Cittanti, C., Bartolomei, M., Castellani, M., & Lopci, E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12165355 · Cited by 11 · see citing works

Deep-learning based discrimination of pathologic complete response using MRI in HER2-positive and triple-negative breast cancer

Kim, S., Lee, J., Cho, N., & Kim, Y.-G. (2024) · Scientific Reports · doi:10.1038/s41598-024-74276-w · Cited by 11 · see citing works

Accuracy of breast magnetic resonance imaging in evaluating the response to neoadjuvant chemotherapy: a study of 310 cases at a cancer center

Negrão, E. M. S., Bitencourt, A. G. V., de Souza, J. A., & Marques, E. F. (2019) · Radiologia Brasileira · doi:10.1590/0100-3984.2018.0149 · Cited by 11 · see citing works

Correlation of Mammographic Microcalcifications with Final Surgical Pathology After Neoadjuvant Chemotherapy for Breast Cancer

Azam, R., Lim, D. W., Curpen, B. N., Mulligan, A.-M., & Hong, N. J. L. (2023) · Annals of Surgical Oncology · doi:10.1245/s10434-023-13367-w · Cited by 11 · see citing works

Predicting the response to neoadjuvant chemotherapy. Can the addition of tomosynthesis improve the accuracy of contrast-enhanced spectral mammography? A comparison with breast MRI

Savaridas, S., Vinnicombe, S., Warwick, V., & Evans, A. J. (2023) · British Journal of Radiology · doi:10.1259/bjr.20220921 · Cited by 10 · see citing works

Breast Ultrasound Versus MRI in Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy for Breast Cancer: A Systematic Review and Meta-Analysis

Sistani, S. S., & Parooie, F. (2020) · Journal of diagnostic medical sonography · doi:10.1177/8756479320964102 · Cited by 10 · see citing works

Preliminary experiences of PET/MRI in predicting complete response in patients with breast cancer treated with neoadjuvant chemotherapy

Sekine, C., Uchiyama, N., Watase, C., Murata, T., Shiino, S., Jimbo, K., Iwamoto, E., Takayama, S., Kurihara, H., Satomi, K., et al. (2021) · Molecular and Clinical Oncology · doi:10.3892/mco.2021.2483 · Cited by 10 · see citing works

Changes in kinetic heterogeneity of breast cancer via computer-aided diagnosis on MRI predict the pathological response to neoadjuvant systemic therapy

Hwangbo, L., Kim, J. Y., Kim, J. J., Lee, N. K., & Kim, S. (2022) · European Radiology · doi:10.1007/s00330-022-08998-8 · Cited by 10 · see citing works

The effect of entrepreneurial leadership on innovative work behavior: the mediating roles of creative self-efficacy and organizational learning

Takeed, Z., Ali, M. D., Shah, S. I., Muhammad, A., & Qiu, S. (2025) · Journal of Entrepreneurship in Emerging Economies · doi:10.1108/jeee-08-2024-0326 · Cited by 19 · see citing works

Assessment of breast cancer response to neoadjuvant chemotherapy based on ultrasound backscattering envelope statistics

Klimonda, Z., Karwat, P., Dobruch‐Sobczak, K., Piotrzkowska‐Wróblewska, H., & Litniewski, J. (2021) · Medical Physics · doi:10.1002/mp.15428 · Cited by 9 · see citing works

Tucidinostat Plus Exemestane as a Neoadjuvant in Early-Stage, Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer

Zhao, H., Li, D., Li, Q., Zhang, B., Xiao, C., Zhao, Y., Ge, J., Yu, Y., Jia, Y., Guo, X., et al. (2024) · The Oncologist · doi:10.1093/oncolo/oyae033 · Cited by 8 · see citing works

Abbreviated and Standard Breast MRI in Neoadjuvant Chemotherapy Response Evaluation: A Comparative Study

Yirgin, İ. K., Engin, G., Yıldız, Ş., Aydın, E., Karanlık, H., Cabıoğlu, N., Tükenmez, M., Emiroğlu, S., Önder, S. Y., Yıldız, S. Ö., et al. (2022) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/1573405618666220223142009 · Cited by 8 · see citing works

MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?

Sella, T., Simor, B., Adler‐Levy, Y., Maly, B., Kadouri, L., & Carmon, E. (2023) · European Radiology · doi:10.1007/s00330-023-09640-x · Cited by 7 · see citing works

Contrast-enhanced digital breast tomosythesis and breast MRI to monitor response to neoadjuvant chemotherapy: patient tolerance and preference

Savaridas, S., Whelehan, P., Warwick, V., Vinnicombe, S., & Evans, A. J. (2022) · British Journal of Radiology · doi:10.1259/bjr.20210779 · Cited by 7 · see citing works

Factors associated with radiologic-pathologic discordance in magnetic resonance imaging after neoadjuvant chemotherapy for breast cancer

Kwon, M.-R., Chu, J., Kook, S. H., & Kim, E. Y. (2022) · Clinical Imaging · doi:10.1016/j.clinimag.2022.05.002 · Cited by 7 · see citing works

Unveiling Neoadjuvant Therapy: Insights and Outlooks for HER2-Positive Early Breast Cancer

Bischoff, H., Espié, M., & Petit, T. (2024) · Current Treatment Options in Oncology · doi:10.1007/s11864-024-01252-x · Cited by 6 · see citing works

The Role of Nomogram Based on the Combination of Ultrasound Parameters and Clinical Indicators in the Degree of Pathological Remission of Breast Cancer

Chen, H., Qian, H., Chen, G., Zhu, P., Sun, C., Wu, X., & He, Y. (2023) · Journal of Oncology · doi:10.1155/2023/3077180 · Cited by 6 · see citing works

Comprehensive Axillary Management of Clinically Node-Positive (cN+) Breast Cancer Patients: A Narrative Review on Neoadjuvant Chemotherapy

Cipolla, C., Gebbia, V., D’Agati, E., Greco, M., Mesi, C., Scandurra, G., & Valerio, M. R. (2024) · Cancers · doi:10.3390/cancers16193354 · Cited by 6 · see citing works

Prognostic value of response evaluation based on breast MRI after neoadjuvant treatment: a retrospective cohort study

Bitencourt, A. G. V., Pires, B. S., Calsavara, V. F., Negrão, E. M. S., de Souza, J. A., Graziano, L., Guatelli, C. S., Makdissi, F. B. A., Sanches, S. M., Tavares, M. C., et al. (2021) · European Radiology · doi:10.1007/s00330-021-08042-1 · Cited by 6 · see citing works

Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study – a multicentre prospective observational cohort study

Janssen, L. M., Suelmann, B. B. M., Elias, S. G., Janse, M. H. A., van Diest, P. J., van der Wall, E., & Gilhuijs, K. G. A. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-061334 · Cited by 6 · see citing works

Assessment and Response to Neoadjuvant Treatments in Breast Cancer: Current Practice, Response Monitoring, Future Approaches and Perspectives

Sabatino, V., Pignata, A., Valentini, M., Fantò, C., Leonardi, I., & Campora, M. (2023) · Cancer treatment and research · doi:10.1007/978-3-031-33602-7_5 · Cited by 5 · see citing works

Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI

Hao, X., Xu, H., Zhao, N., Yu, T., Hämäläinen, T., & Cong, F. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106164 · Cited by 4 · see citing works

Monitoring response to neoadjuvant therapy for breast cancer in all treatment phases using an ultrasound deep learning model

Zhang, J., Deng, J., Huang, J., Mei, L., Liao, N., Yao, F., Lei, C., Sun, S., & Zhang, Y. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1255618 · Cited by 4 · see citing works

Breast cancer assessment under neoadjuvant systemic therapy using thoracic photon-counting detector computed tomography in prone position: a pilot study

Neubauer, C., Nattenmüller, J., Bamberg, F., Windfuhr‐Blum, M., & Neubauer, J. (2025) · European Radiology Experimental · doi:10.1186/s41747-025-00576-z · Cited by 4 · see citing works

Background parenchymal enhancement: behavior during neoadjuvant chemotherapy for breast cancer and relationship with a pathological complete response

Teixeira, S. R. C., Júnior, H. S. A. D. C., & Cabello, C. (2020) · Radiologia Brasileira · doi:10.1590/0100-3984.2019.0057 · Cited by 4 · see citing works

Towards Imaging Pt Chemoresistance Using Gd(III)‐Pt(II) Theranostic MR Contrast Agents

Adams, C. J., & Meade, T. J. (2021) · ChemMedChem · doi:10.1002/cmdc.202100389 · Cited by 4 · see citing works

Non-contrast Breast MR Imaging

Kim, J. Y., & Partridge, S. C. (2024) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2023.12.009 · Cited by 4 · see citing works

What Is the Role of Neoadjuvant Endocrine Therapy for Breast Cancer?

Weiss, A. C., & King, T. A. (2022) · Advances in Surgery · doi:10.1016/j.yasu.2022.02.008 · Cited by 4 · see citing works

Restriction spectrum imaging with elastic image registration for automated evaluation of response to neoadjuvant therapy in breast cancer

Andreassen, M. M. S., Loubrie, S., Tong, M. W., Fang, L., Seibert, T. M., Wallace, A. M., Zare, S., Ojeda‐Fournier, H., Kuperman, J. M., Hahn, M. E., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1237720 · Cited by 3 · see citing works

Surgical treatment after neoadjuvant systemic therapy for HER2-positive invasive breast cancer in the Netherlands: 10-Year trends and the influence an accompanying DCIS component

Ploumen, R. A. W., van Nijnatten, T. J. A., Kooreman, L. F. S., Voogd, A. C., Keymeulen, K., Siesling, S., & Smidt, M. L. (2024) · The Breast · doi:10.1016/j.breast.2024.103854 · Cited by 3 · see citing works

Dynamic ultrasound-based modeling predictive of response to neoadjuvant chemotherapy in patients with early breast cancer

Wang, X., Zhang, Y., Yang, M., Wu, N., Wang, S., Chen, H., Zhou, T., Zhang, Y., Wang, X., Jin, Z., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-80409-y · Cited by 3 · see citing works

Computer-aided Classification of MRI for Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Yan, S., Peng, H., Yu, Q., Chen, X., Liu, Y., Zhu, Y., Chen, K., Wang, P., Li, Y., Zhang, X., et al. (2021) · Future Oncology · doi:10.2217/fon-2021-1212 · Cited by 3 · see citing works

Quantitative dynamic contrast-enhanced MRI parameters effectively predict treatment efficacy of neoadjuvant chemotherapy in breast cancer

Xu, L. (2025) · American Journal of Translational Research · doi:10.62347/gtix2261 · Cited by 2 · see citing works

HER2 (2+)/SISH-positive vs. HER2 (3+) Breast Cancer: Pre-treatment MRI Differences and Accuracy of pCR Prediction on Post-treatment MRI

Park, G. E., Mun, H. S., Kim, S. H., & Kang, B. J. (2025) · Academic Radiology · doi:10.1016/j.acra.2025.04.010 · Cited by 2 · see citing works

Decrease in Calcifications After Neoadjuvant Treatment Predicts Invasive Tumor Response but Not Complete DCIS Eradication: Systematic Review and Meta-Analysis

Weiner, N., Niv, Y., & Sharon, E. (2025) · Clinical Breast Cancer · doi:10.1016/j.clbc.2025.05.012 · Cited by 2 · see citing works

Role of MRI in predicting response to neo-adjuvant systemic therapy (NAST) in breast cancer

Jafferbhoy, S., Manoj Gowda, S., Kabeer, K. K., Mohd-Isa, Z., Salehi-Bird, S., Marla, S., Narayanan, S., & Soumian, S. (2022) · Breast Disease · doi:10.3233/bd-210023 · Cited by 2 · see citing works

Magnetic Resonance Imaging Features Associated with a High and Low Expression of Tumor-Infiltrating Lymphocytes: A Stratified Analysis According to Molecular Subtypes

Zhou, J., Jin, Y., Miao, H., Lu, S., Liu, X., He, Y., Liu, H., Zhao, Y., Zhang, Y., Liu, Y.-L., et al. (2023) · Cancers · doi:10.3390/cancers15235672 · Cited by 2 · see citing works

The kinetic parameters of dynamic contrast-enhanced MRI with ultrafast imaging in breast cancer patients receiving neoadjuvant chemotherapy: Prediction of pathologic complete response and correlation with histologic microvessel density

Choi, S., Park, A. Y., Kim, G. I., Jung, H. K., Ko, K. H., & Kim, Y. J. (2025) · Medicine · doi:10.1097/md.0000000000040239 · Cited by 2 · see citing works

Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment

An, Z., & Li, F. (2025) · Advanced ultrasound in diagnosis and therapy · doi:10.37015/audt.2025.240009 · Cited by 2 · see citing works

Developments in Breast Imaging

Heller, S. L., Heacock, L. C., & Moy, L. P. (2018) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2017.12.003 · Cited by 2 · see citing works

Clinical Application of Shear Wave Elastography in Patients with Breast Cancer

Youn, H. J., Kang, S. Y., & Jung, S. H. (2018) · Journal of Surgical Ultrasound · doi:10.46268/jsu.2018.5.2.33 · Cited by 2 · see citing works

Comparative analysis of preoperative contrast-enhanced cone beam breast CT (CE-CBBCT) and MRI for differentiating pathological complete response from minimal residual disease in breast cancer

Wang, Y., Wang, F., Ma, Y., Liu, A., Zhao, M., Bian, K., Zhu, Y., Yin, L., Lu, H., & Ye, Z. (2025) · BMC Medical Imaging · doi:10.1186/s12880-025-01926-4 · Cited by 1 · see citing works

Dedicated Breast PET-Based Deep Learning Radiomics for Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer

Zeng, T., He, Y., Zhang, T., Ren, C., Xu, J., Cheng, J., & Ming, W. (2026) · Cancers · doi:10.3390/cancers18101581 · Cited by 1 · see citing works

Deep Learning Modeling Using Normal Mammograms for Predicting Breast Cancer

Sivasangari, A., Deepa, D., Anandhi, T. S., Mana, S. C., Vignesh, R., & Samhitha, B. K. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-1866-6_30 · Cited by 1 · see citing works

The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review

Lobbes, M. B. I., Prevos, R., Smidt, M., Tjan-Heijnen, V. C. G., van Goethem, M., Schipper, R., Beets-Tan, R. G., & Wildberger, J. E. (2013) · Insights into Imaging · doi:10.1007/s13244-013-0219-y · Cited by 237 · see citing works

Can diffusion-weighted MR imaging and contrast-enhanced MR imaging precisely evaluate and predict pathological response to neoadjuvant chemotherapy in patients with breast cancer?

Wu, L., Hu, J., Gu, H.-Y., Hua, J., Chen, J., & Xu, J. (2012) · Breast Cancer Research and Treatment · doi:10.1007/s10549-012-2033-5 · Cited by 114 · see citing works

Pathologic complete response and residual disease after neoadjuvant chemotherapy in breast cancer: Comparison of contrast-enhanced mammography, DCE-MRI, and ¹⁸F-FDG PET/CT

Sanhal, E. Ö., Mutlu, İ., Budak, E. S., Vural, V., Zihni, İ., Şimşek, K., Goksu, S. S., & Arıcı, C. (2026) · Biomolecules and Biomedicine · doi:10.17305/bb.2026.14598

Abstract P4-02-02: Contrast-enhanced MRI does not accurately predict pathologic complete response (pCR) after neoadjuvant chemotherapy in early or locally advanced breast cancer

Gampenrieder, S., Peer, A., Weismann, C., Meissnitzer, M. W., Rinnerthaler, G., Webhofer, J., Westphal, T., Popovscaia, M., Meißnitzer, T., Reitsamer, R., et al. (2018) · Cancer Research · doi:10.1158/1538-7445.sabcs17-p4-02-02

Head-to-head comparison of contrast-enhanced mammography and contrast-enhanced MRI for assessing pathological complete response to neoadjuvant therapy in patients with breast cancer: a meta-analysis

Min, K., Tong, L., Leilei, T., Li, W., & Ji, B. (2023) · Breast Cancer Research and Treatment · doi:10.1007/s10549-023-07034-7 · Cited by 22 · see citing works