Cited by 165Lung Cancer Diagnosis and TreatmentMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging

The DOI matches its Crossref record; 42 of the 50 references it cites were found in a registry or an index.

Relationship Between Non-small Cell Lung Cancer FDG Uptake at PET, Tumor Histology, and Ki-67 Proliferation Index

Open access

Vesselle, Hubert, Salskov, Alexander, Turcotte, Eric, Wiens, Linda, Schmidt, Rodney, Jordan, C Diana, Vallières, Eric, Wood, Douglas E.·2008·Journal of Thoracic Oncology

DOI 10.1097/jto.0b013e31818307a7

Open this paper in CoChat — free account Open PDF

Abstract

Introduction We compared primary non-small cell lung cancer (NSCLC) F-fluorodeoxyglucose (FDG) uptake at positron emission tomography (PET) to tumor histologic features and Ki-67 proliferation index. This large, prospectively-recruited patient cohort has previously been analyzed based on differences in FDG uptake across stage groups; the current analysis adds further dimensions to this characterization. Materials and methods One hundred seventy-eight patients with potentially-resectable NSCLC were scanned with FDG PET before therapy. A partial volume correction algorithm was used to correct FDG uptake values for their dependence on tumor size. Primary tumor resection specimens, core biopsies, and biopsies of metastatic lymph nodes were used to assess each tumor's NSCLC histologic subtype, degree of differentiation, and Ki-67 proliferation index. Results Bronchioalveolar carcinomas were found to have lower FDG uptake at PET and lower Ki-67 scores than any other histologic subtype. Non-bronchioalveolar adenocarcinomas had lower FDG uptake and Ki-67 scores than squamous cell carcinomas or large cell undifferentiated carcinomas. Better differentiated NSCLCs had lower FDG uptake and Ki-67 scores than more poorly differentiated NSCLCs. There was a significant positive correlation between FDG uptake and Ki-67 scores. Partial volume correction increased the strength of this correlation, while also diminishing the strong positive correlation between FDG uptake and tumor size. Conclusions There are significant differences in NSCLC FDG uptake across histologic subtypes and differentiation groups. These differences parallel nearly identical differences in Ki-67 scores, implying that differences in NSCLC tumor cell proliferation may give rise to commensurate differences in tumor glucose metabolism.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1097/jto.0b013e31818307a7

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cancer Statistics, 2006
Jemal, A., Siegel, R. L., Ward, E. M., Murray, T., Xu, J., Smigal, C., & Thun, M. J. (2006) · CA A Cancer Journal for Clinicians · doi:10.3322/canjclin.56.2.106 · Cited by 5,309
Revisions in the International System for Staging Lung Cancer
Mountain, C. F. (1997) · CHEST Journal · doi:10.1378/chest.111.6.1710 · Cited by 4,565
Vinorelbine plus Cisplatin vs. Observation in Resected Non–Small-Cell Lung Cancer
Winton, T. L., Livingston, R. B., Johnson, D. H., Rigas, J. R., Johnston, M., Butts, C. A., Cormier, Y. F., Goss, G., Inculet, R., Vallières, E., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043623 · Cited by 1,810
Self-citation
Metastases from Non-Small Cell Lung Cancer: Mediastinal Staging in the 1990s—Meta-analytic Comparison Of PET and CT
Dwamena, B. A., Sonnad, S. S., Angobaldo, J. O., & Wahl, R. L. (1999) · Radiology · doi:10.1148/radiology.213.2.r99nv46530 · Cited by 648
Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG.
Buck, A. K., Halter, G., Schirrmeister, H., Kotzerke, J., Wurziger, I., Glatting, G., Mattfeldt, T., Neumaier, B., Reske, S. N., & Hetzel, M. (2003) · PubMed · Cited by 403
Randomized Clinical Trial of adjuvant chemotherapy with paclitaxel and carboplatin following resection in Stage IB Non-Small Cell Lung Cancer (NSCLC): Report of Cancer and Leukemia Group B (CALGB) Protocol 9633
Strauss, G. M., Herndon, J. E., Maddaus, M. A., Johnstone, D. W., Johnson, E. A., Watson, D. M., Sugarbaker, D. J., Schilsky, R. L., & Green, M. R. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.22.14_suppl.7019 · Cited by 380
New Ki-67-equivalent murine monoclonal antibodies (MIB 1-3) generated against bacterially expressed parts of the Ki-67 cDNA containing three 62 base pair repetitive elements encoding for the Ki-67 epitope.
Key, G., Becker, M., Baron, B., Duchrow, M., Schlüter, C., Flad, H. D., & Gerdes, J. (1993) · PubMed · Cited by 376
Preoperative F-18 Fluorodeoxyglucose-Positron Emission Tomography Maximal Standardized Uptake Value Predicts Survival After Lung Cancer Resection
Downey, R. J., Akhurst, T., Gönen, M., Vincent, A., Bains, M. S., Larson, S. M., & Rusch, V. W. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.11.109 · Cited by 358
Fluorine-18-FDG PET imaging is negative in bronchioloalveolar lung carcinoma.
Higashi, K., Ueda, Y., Seki, H., Yuasa, K., Oguchi, M., Noguchi, T., Taniguchi, M., Tonami, H., Okimura, T., & Yamamoto, I. (1998) · PubMed · Cited by 351
Lung cancer proliferation correlates with [F-18]fluorodeoxyglucose uptake by positron emission tomography.
Vesselle, H. J., Schmidt, R. A., Pugsley, J. M., Li, M., Kohlmyer, S. G., Vallires, E., & Wood, D. E. (2000) · PubMed · Cited by 351
Self-citation

Show all 50 references

Research works printed but not linked: 2

Rao, 2000, Prevalence of metastatic disease and impact of PET on management in staging lung cancer: a clinical series of 400 patients, J Nucl Med, 41, 75P
Kohlmyer, 2000, Comparison of recovery coefficients for PET based on maximum and average ROI pixel values, Eur J Nuclear Med, 27, 977

Sorted by citations

International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma
Travis, W. D., Brambilla, E. M., Noguchi, M., Nicholson, A. G., Geisinger, K. R., Yatabe, Y., Beer, D. G., Powell, C. A., Riely, G. J., Schil, P. E. V., et al. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318206a221 · Cited by 4,834
A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology
Erlandsson, K., Buvat, I., Pretorius, P. H., Thomas, B. A., & Hutton, B. F. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/r119 · Cited by 731
Application of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration Following Integrated PET/CT in Mediastinal Staging of Potentially Operable Non-small Cell Lung Cancer
Hwangbo, B., Kim, S. K., Lee, H., Lee, H., Kim, M. S., Lee, J. M., Kim, H.-Y., Lee, G.-K., Nam, B., & Zo, J. I. (2009) · CHEST Journal · doi:10.1378/chest.08-2019 · Cited by 164
Ground-glass Opacity Nodules
Lee, H. Y., & Lee, K. S. (2011) · Journal of Thoracic Imaging · doi:10.1097/rti.0b013e3181fbaa64 · Cited by 162
18F-FDG PET/CT for Image-Guided and Intensity-Modulated Radiotherapy
Ford, E. C., Herman, J. M., Yorke, E. D., & Wahl, R. L. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.055780 · Cited by 136
Glucose Metabolism in NSCLC Is Histology-Specific and Diverges the Prognostic Potential of 18FDG-PET for Adenocarcinoma and Squamous Cell Carcinoma
Schuurbiers, O. C. J., Meijer, T. W. H., Kaanders, J. H. A. M., Looijen-Salamon, M. G., de Geus‐Oei, L., van der Drift, M. A., van der Heijden, E. H. F. M., Oyen, W. J. G., Visser, E. P., Span, P. N., et al. (2014) · Journal of Thoracic Oncology · doi:10.1097/jto.0000000000000286 · Cited by 133
Volume-Based Parameters of 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Improve Outcome Prediction in Early-Stage Non–Small Cell Lung Cancer After Surgical Resection
Hyun, S. H., Choi, J. Y., Kim, K., Kim, J., Shim, Y. M., Um, S., Kim, H., Lee, K. H., & Kim, B. T. (2012) · Annals of Surgery · doi:10.1097/sla.0b013e318262a6ec · Cited by 121
The maximum standardized uptake value (SUVmax) on FDG-PET is a strong predictor of local recurrence for localized non-small-cell lung cancer after stereotactic body radiotherapy (SBRT)
Takeda, A., Yokosuka, N., Ohashi, T., Kunieda, E., Fujii, H., Aoki, Y., Sanuki, N., Koike, N., & Ozawa, Y. (2011) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2011.08.008 · Cited by 101
FDG-PET SUVmax Combined with IASLC/ATS/ERS Histologic Classification Improves the Prognostic Stratification of Patients with Stage I Lung Adenocarcinoma
Kadota, K., Colovos, C., Suzuki, K., Rizk, N. P., Dunphy, M. P., Zabor, E. C., Sima, C. S., Yoshizawa, A., Travis, W. D., Rusch, V. W., et al. (2012) · Annals of Surgical Oncology · doi:10.1245/s10434-012-2414-3 · Cited by 100
Metabolic characteristics of programmed cell death‐ligand 1‐expressing lung cancer on 18 F‐fluorodeoxyglucose positron emission tomography/computed tomography
Takada, K., Toyokawa, G., Okamoto, T., Baba, S., Kozuma, Y., Matsubara, T., Haratake, N., Akamine, T., Takamori, S., Katsura, M., et al. (2017) · Cancer Medicine · doi:10.1002/cam4.1215 · Cited by 99
Maximum Standardized Uptake Value From Staging FDG-PET/CT Does not Predict Treatment Outcome for Early-Stage Non–Small-Cell Lung Cancer Treated With Stereotactic Body Radiotherapy
Burdick, M. J., Stephans, K. L., Reddy, C. A., Djemil, T., Srinivas, S. M., & Videtic, G. M. M. (2010) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2009.09.081 · Cited by 92
PET/CT versus MRI for diagnosis, staging, and follow-up of lung cancer
Kim, H. S., Lee, K. S., Ohno, Y., van Beek, E. J. R., & Biederer, J. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24776 · Cited by 90
Role of FDG-PET scans in staging, response assessment, and follow-up care for non-small cell lung cancer
Cuaron, J. J., Dunphy, M. P., & Rimner, A. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2012.00208 · Cited by 90
Role of 18F-Fluorodeoxyglucose Positron Emission Tomography in Predicting Epidermal Growth Factor Receptor Mutations in Non-Small Cell Lung Cancer
Mak, R. H., Digumarthy, S. R., Muzikansky, A., Engelman, J. A., Shepard, J.-A. O., Choi, N. C., & Sequist, L. V. D. (2011) · The Oncologist · doi:10.1634/theoncologist.2010-0300 · Cited by 89
Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis
Deng, S., Zhang, W., Zhang, B., Chen, Y., Li, J., & Wu, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129028 · Cited by 85
Everolimus restores gefitinib sensitivity in resistant non-small cell lung cancer cell lines
Monica, S. L., Galetti, M., Alfieri, R. R., Cavazzoni, A., Ardizzoni, A., Tiseo, M., Capelletti, M., Goldoni, M., Tagliaferri, S., Mutti, A., et al. (2009) · Biochemical Pharmacology · doi:10.1016/j.bcp.2009.04.033 · Cited by 80
The Warburg effect: persistence of stem-cell metabolism in cancers as a failure of differentiation
Riester, M., Xu, Q., Moreira, A. L., Zheng, J., Franziska Michor, A., & Downey, R. J. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx645 · Cited by 80
Pathophysiologic Correlation Between 62Cu-ATSM and 18F-FDG in Lung Cancer
Lohith, T. G., Kudo, T., Demura, Y., Umeda, Y., Kiyono, Y., Fujibayashi, Y., & Okazawa, H. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.069021 · Cited by 80
Differential expression and prognostic significance of GLUT1 according to histologic type of non-small-cell lung cancer and its association with volume-dependent parameters
Koh, Y. W., Lee, S. J., & Park, S. Y. (2016) · Lung Cancer · doi:10.1016/j.lungcan.2016.12.003 · Cited by 76
Value of 18F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma
Ko, K., Hsu, H., Huang, T.-W., Gao, H., Shen, D. H.-Y., Chang, W., Hsu, Y., Chang, T., Chu, C., Ho, C.-L., et al. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2802-y · Cited by 69
Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers
Jiménez-Sánchez, J., Bosque, J. J., Londoño, G. A. J., Molina-García, D., Martínez, Á., Pérez-Beteta, J., Ortega-Sabater, C., Martínez, A. F. H., Vicente, A. M. G., Calvo, G. F., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2018110118 · Cited by 67
What causes false-negative PET findings for solid-type lung cancer?
Iwano, S., Ito, S., Tsuchiya, K., Kato, K., & Naganawa, S. (2012) · Lung Cancer · doi:10.1016/j.lungcan.2012.10.018 · Cited by 67
Autoclustering of Non-small Cell Lung Carcinoma Subtypes on 18F-FDG PET Using Texture Analysis: A Preliminary Result
Ha, S., Choi, H., Cheon, G. J., Kang, K. W., Chung, J.-K., Kim, E. E., & Lee, D. S. (2014) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-014-0283-3 · Cited by 62
Influences on PET Quantification and Interpretation
Rogasch, J. M. M., Hofheinz, F., van Heek, L., Voltin, C.-A., Boellaard, R., & Kobe, C. (2022) · Diagnostics · doi:10.3390/diagnostics12020451 · Cited by 57
Metabolic reprogramming and Notch activity distinguish between non-small cell lung cancer subtypes
Sellers, K., Allen, T. D., Bousamra, M., Tan, J., Méndez‐Lucas, A., Lin, W., Bah, N. K., Chernyavskaya, Y., MacRae, J. I., Higashi, R. M., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0464-z · Cited by 57
Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
Park, S. Y., Yoon, J., Park, K. J., & Lee, S. J. (2015) · Cancer Imaging · doi:10.1186/s40644-015-0058-9 · Cited by 53
Intra-tumoural heterogeneity characterization through texture and colour analysis for differentiation of non-small cell lung carcinoma subtypes
Ma, Y., Feng, W., Wu, Z., Liu, M., Zhang, F., Liang, Z., Cui, C., Huang, J., Li, X., & Guo, X. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aad648 · Cited by 53
The role of 18F-FDG PET in the differentiation between lung metastases and synchronous second primary lung tumours
Dijkman, B. G., Schuurbiers, O. C. J., Vriens, D., Looijen-Salamon, M. G., Bussink, J., Timmer-Bonte, J. N. H., Snoeren, M. M., Oyen, W. J. G., van der Heijden, E. H. F. M., & de Geus‐Oei, L. (2010) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-010-1505-2 · Cited by 53
Pretreatment SUVmax predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy
Horne, Z. D., Clump, D. A., Vargo, J. A., Shah, S. S., Beriwal, S., Burton, S. A., Quinn, A. E., Schuchert, M. J., Landreneau, R. J., Christie, N. A., et al. (2014) · Radiation Oncology · doi:10.1186/1748-717x-9-41 · Cited by 51
Multifunctional Profiling of Non–Small Cell Lung Cancer Using 18F-FDG PET/CT and Volume Perfusion CT
Sauter, A. W., Winterstein, S., Spira, D., Hetzel, J., Schulze, M., Mueller, M., Pfannenberg, C., Claussen, C. D., Klotz, E., von Weyhern, C. H., et al. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.097865 · Cited by 51
Endobronchial ultrasound guided transbronchial needle aspiration
Medford, A. R. L., Bennett, J. A., FREE, C. M., & Agrawal, S. (2010) · Postgraduate Medical Journal · doi:10.1136/pgmj.2009.089391 · Cited by 45
Clinical significance of Ki-67 and p53 expression in curatively resected non-small cell lung cancer
Ahn, H. K., Jung, M., Ha, S.-Y., Lee, J.-I., Park, I., Kim, Y. S., Hong, J., Sym, S. J., Park, J., Shin, D. B., et al. (2014) · Tumor Biology · doi:10.1007/s13277-014-1760-0 · Cited by 42
Studio comparativo con esame TC contrastografico e con PET-TC del tumore polmonare non a piccole cellule
Brunese, L., Greco, B., Setola, F. R., Lassandro, F., Guarracino, M. R., Rimini, M. L. D., Piccolo, S., Rosa, N. D., Muto, R., Bianco, A., et al. (2013) · Medical Science Monitor · doi:10.12659/msm.883759 · Cited by 41
Positron emission tomography imaging of lung cancer: An overview of alternative positron emission tomography tracers beyond F18 fluorodeoxyglucose
Zhu, J., Pan, F., Cai, H., Pan, L., Li, Y., Li, L., Li, Y., Wu, X., & Fan, H. X. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.945602 · Cited by 38
High SUVmax on FDG-PET Indicates Pleomorphic Subtype in Epithelioid Malignant Pleural Mesothelioma: Supportive Evidence to Reclassify Pleomorphic as Nonepithelioid Histology
Kadota, K., Kachala, S. S., Nitadori, J., Suzuki, K., Dunphy, M. P., Sima, C. S., Travis, W. D., Rusch, V. W., & Adusumilli, P. S. (2012) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e3182519d96 · Cited by 38
An Observational Study of Circulating Tumor Cells and 18F-FDG PET Uptake in Patients with Treatment-Naive Non-Small Cell Lung Cancer
Nair, V. S., Keu, K. V., Luttgen, M. S., Kolatkar, A. R., Vasanawala, M., Kuschner, W. G., Bethel, K. J., Iagaru, A. H., Hoh, C. K., Shrager, J. B., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067733 · Cited by 35
Prognostic value of SUVmax measurements obtained by FDG-PET in patients with non-small cell lung cancer receiving chemotherapy
Imamura, Y., Azuma, K., Kurata, S., Hattori, S., Sasada, T., Kinoshita, T., Okamoto, M., Kawayama, T., Kaida, H., Ishibashi, M., et al. (2010) · Lung Cancer · doi:10.1016/j.lungcan.2010.04.004 · Cited by 32
Metabolic Phenotype of Stage IV Lung Adenocarcinoma
Lee, E. Y. P., Khong, P., Lee, V. H.-F., Qian, W., Yu, X., & Wong, M. P. (2015) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000000684 · Cited by 31
Standardized Uptake Values Derived from18F-FDG PET May Predict Lung Cancer Microvessel Density and Expression of KI 67, VEGF, and HIF-1αbut Not Expression of Cyclin D1, PCNA, EGFR, PD L1, and p53
Surov, A., Meyer, H., & Wienke, A. (2018) · Contrast Media & Molecular Imaging · doi:10.1155/2018/9257929 · Cited by 30
Does nutrition for cancer patients feed the tumour? A clinical perspective
Bozzetti, F., & Stanga, Z. G. (2020) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2020.103061 · Cited by 29
Biological significance of the maximum standardized uptake values on positron emission tomography in non‐small cell lung cancer
Takenaka, T., Yano, T., Ito, K., Morodomi, Y., Miura, N., Kawano, D., Shoji, F., Abe, K., Honda, H., & Maehara, Y. (2009) · Journal of Surgical Oncology · doi:10.1002/jso.21386 · Cited by 29
Ratio of Mediastinal Lymph Node SUV to Primary Tumor SUV in 18F-FDG PET/CT for Nodal Staging in Non-Small-Cell Lung Cancer
Cho, J., Choe, J. G., Pahk, K., Choi, S., Kwon, H. R., Eo, J. S., Seo, H. J., Kim, C., & Kim, S. (2016) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-016-0447-4 · Cited by 29
Correlations of 18F-FDG and 18F-FLT uptake on PET with Ki-67 expression in patients with lung cancer: a meta-analysis
Shen, G., Ma, H., Pang, F., Ren, P., & Kuang, A. (2017) · Acta Radiologica · doi:10.1177/0284185117706609 · Cited by 28
Role of PET quantitation in the monitoring of cancer response to treatment: review of approaches and human clinical trials
Doot, R. K., McDonald, E. S., & Mankoff, D. A. (2014) · Clinical and Translational Imaging · doi:10.1007/s40336-014-0071-1 · Cited by 27
Cancer Cells Cue the p53 Response of Cancer-Associated Fibroblasts to Cisplatin
Schmid, J. O., Dong, M., Haubeiß, S., Friedel, G., Bode, S., Grabner, A., Ott, G., Mürdter, T. E., Oren, M., Aulitzky, W. E., et al. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-1201 · Cited by 27
Molecular Hydrogen Enhances Proliferation of Cancer Cells That Exhibit Potent Mitochondrial Unfolded Protein Response
Hasegawa, T., Ito, M., Hasegawa, S., Teranishi, M., Takeda, K., Negishi, S., Nishiwaki, H., Takeda, J., LeBaron, T. W., & Ohno, K. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052888 · Cited by 26
Correlation of 18F-fluorodeoxyglucose uptake on positron emission tomography with Ki-67 index and pathological invasive area in lung adenocarcinomas 30mm or less in size
Murakami, S., Saito, H., Sakuma, Y., Yumiko, M., Ishikawa, Y., Kondou, T., Oshita, F., Yokose, T., Kameda, Y., Suga, Y., et al. (2009) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.11.020 · Cited by 26
Imaging Features Associated With Disease Progression After Stereotactic Ablative Radiotherapy for Stage I Non–Small-Cell Lung Cancer
Shultz, D. B., Trakul, N., Abelson, J. A., Murphy, J. D., Maxim, P. G., Le, Q., Loo, B. W., & Diehn, M. (2014) · Clinical Lung Cancer · doi:10.1016/j.cllc.2013.12.011 · Cited by 25
Image-derived biomarkers and multimodal imaging strategies for lung cancer management
Sauter, A. W., Schwenzer, N. F., Divine, M. R., Pichler, B. J., & Pfannenberg, C. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2974-5 · Cited by 25
Common Skeletal Neoplasms and Nonneoplastic Lesions at 18 F-FDG PET/CT
Cheung, H., Yechoor, A., Behnia, F., Abadi, A., Khodarahmi, I., Soltanolkotabi, M., Shafiei, M., & Chalian, M. (2021) · Radiographics · doi:10.1148/rg.210090 · Cited by 24
Correlation between Semi-Quantitative 18F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer
Park, S., Lee, E., Rhee, S., Cho, J., Choi, S., Lee, S., Eo, J. S., Pahk, K., Choe, J. G., & Kim, S. (2016) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-015-0363-z · Cited by 23
Combined prognostic value of the SUVmax derived from FDG-PET and the lymphocyte-monocyte ratio in patients with stage IIIB-IV non-small cell lung cancer receiving chemotherapy
Zhao, K., Wang, C., Shi, F., Huang, Y., Ma, L., Li, M., & Song, Y. (2021) · BMC Cancer · doi:10.1186/s12885-021-07784-x · Cited by 21
Clinical Characteristics of False-Positive Lymph Node on Chest CT or PET-CT Confirmed by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in Lung Cancer
Lee, J. M., Kim, Y. K., Seo, Y. Y., Choi, E. K., Lee, D. S., Kim, Y., Hong, S. H., Kang, J. H., Lee, K. Y., Park, J. K., et al. (2018) · Tuberculosis & respiratory diseases · doi:10.4046/trd.2017.0121 · Cited by 21
Nucleophosmin 1 overexpression correlates with 18F-FDG PET/CT metabolic parameters and improves diagnostic accuracy in patients with lung adenocarcinoma
Zhou, L.-M., Yuan, L., Gao, Y., Liu, X., Dai, Q., Yang, J.-W., & Pei, Z. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05005-4 · Cited by 21
SUVmax and Tumor Size Predict Surgical Outcome of Synchronous Multiple Primary Lung Cancers
Hsu, H., Ko, K., Chou, Y., Lin, L.-F., Tsai, W.-C., Lee, S.-C., Chang, H., & Huang, T.-W. (2016) · Medicine · doi:10.1097/md.0000000000002351 · Cited by 21
Prediction of pathologic prognostic factors in patients with lung adenocarcinomas: comparison of thin-section computed tomography and positron emission tomography/computed tomography
Iwano, S., Kishimoto, M., Ito, S., Kato, K., Ito, R., & Naganawa, S. (2014) · Cancer Imaging · doi:10.1186/1470-7330-14-3 · Cited by 20
Association of circulating tumour cells with early relapse and 18F-fluorodeoxyglucose positron emission tomography uptake in resected non-small-cell lung cancers†
Bayarri-Lara, C. I., de Miguel‐Pérez, D., de Guevara, A. C. L., Fernández, A. R., Puche, J. L. G., Ramos, A. S.-P., Zafra, J. R., Ospina, C. F. G., Delgado‐Rodríguez, M., Ruíz, M. E., et al. (2017) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezx049 · Cited by 20
FDG-PET/CT in Lung Cancer: An Update
Baum, R. P., Świętaszczyk, C., & Prasad, V. (2009) · Frontiers of radiation therapy and oncology · doi:10.1159/000262458 · Cited by 20
Value of 11C-choline PET/CT for lung cancer diagnosis and the relation between choline metabolism and proliferation of cancer cells
Li, M., Peng, Z., Liu, Q., Sun, J., Yao, S., & Liu, Q. (2012) · Oncology Reports · doi:10.3892/or.2012.2099 · Cited by 20
Does FDG PET/CT have a role in determining adjuvant chemotherapy in surgical margin-negative stage IA non-small cell lung cancer patients?
Park, H. L., Yoo, I. R., Boo, S. H., Park, S. Y., Park, J. K., Sung, S. W., & Moon, S. W. (2019) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-019-02858-7 · Cited by 19
Fatal hypoglycemia in malignant pheochromocytoma: direct glucose consumption as suggested by 18F-2-fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography imaging
Habra, M. A., NUÑEZ, R. F., Chuang, H. H., Ayala‐Ramirez, M., Rich, T. A., Kyle, K. L., & Jiménez, C. (2010) · Endocrine · doi:10.1007/s12020-009-9300-1 · Cited by 19
Contribution of18Fluorodeoxyglucose positron emission tomography uptake and TTF-1 expression in the evaluation of the EGFR mutation in patients with lung adenocarcinoma
Kanmaz, Z. D., Aras, G., Tuncay, E., Bahadır, A., Kocaturk, C. I., Yasar, Z. A., Öz, B., Özkurt, C. Ü., Gündoğan, C., & Çermik, T. F. (2016) · Cancer Biomarkers · doi:10.3233/cbm-160588 · Cited by 21
The Contribution of Fluorine 18F-FDG PET/CT to Lung Cancer Diagnosis, Staging and Treatment Planning
Budak, E., Çok, G., & Akgün, A. (2018) · Molecular Imaging and Radionuclide Therapy · doi:10.4274/mirt.53315 · Cited by 19
Multi-bed-position acquisition technique for deep inspiration breath-hold PET/CT: a preliminary result for pulmonary lesions
Daisaki, H., Shinohara, H., Terauchi, T., Murano, T., Shimada, N., Noriyuki, M., & Tateishi, U. (2010) · Annals of Nuclear Medicine · doi:10.1007/s12149-009-0340-7 · Cited by 19
The maximum standardized FDG uptake on PET-CT in patients with non-small cell lung cancer
Özgül, M. A., Kırkıl, G., Seyhan, E. C., Çetınkaya, E., Özgül, G., & Yüksel, M. (2013) · Multidisciplinary Respiratory Medicine · doi:10.1186/2049-6958-8-69 · Cited by 19
Clinical, radiological and biological features of lung metastases in gastrointestinal stromal tumors (Case reports)
Nannini, M. (2010) · Oncology Reports · doi:10.3892/or_00001049 · Cited by 18
Positive Correlation Between 18F-FDG Uptake and Tumor-Proliferating Antigen Ki-67 Expression in Adrenocortical Carcinomas
Libé, R., Pais, A., Violon, F., Guignat, L., Bonnet-Serrano, F., Huillard, O., Assié, G., Gaillard, M., Dousset, B. E., Gaujoux, S., et al. (2023) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000004593 · Cited by 19
Deep Learning to Predict the Cell Proliferation and Prognosis of Non-Small Cell Lung Cancer Based on FDG-PET/CT Images
Hu, D., Li, X., Lin, C., Wu, Y., & Jiang, H. (2023) · Diagnostics · doi:10.3390/diagnostics13193107 · Cited by 18
Difference in prognostic values of maximal standardized uptake value on fluorodeoxyglucose-positron emission tomography and cyclooxygenase-2 expression between lung adenocarcinoma and squamous cell carcinoma
Shimizu, K., Maeda, A., Yukawa, T., Nojima, Y., Saisho, S., Okita, R., & Nakata, M. (2014) · World Journal of Surgical Oncology · doi:10.1186/1477-7819-12-343 · Cited by 18
Prognostic value of 18 F-FDG uptake by regional lymph nodes on pretreatment PET/CT in patients with resectable colorectal cancer
Byun, B. H., Moon, S. M., Shin, U. S., Lim, I., Kim, B. I., Choi, C. W., & Lim, S. M. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2840-5 · Cited by 16
The diagnostic and predictive efficacy of 18F-FDG PET/CT metabolic parameters for EGFR mutation status in non-small-cell lung cancer: A meta-analysis
Guo, Y., Zhu, H., Yao, Z., Liu, F., & Yang, D. (2021) · European Journal of Radiology · doi:10.1016/j.ejrad.2021.109792 · Cited by 16
Value of combining PET/CT and clinicopathological features in predicting EGFR mutation in Lung Adenocarcinoma with Bone Metastasis
Yao, G., Zhou, Y., Gu, Y., Wang, Z., Yang, M., Sun, J. P., Luo, Q., & Zhao, H. (2020) · Journal of Cancer · doi:10.7150/jca.46414 · Cited by 16
Radiolabeled (4-Fluoro-3-Iodobenzyl)Guanidine Improves Imaging and Targeted Radionuclide Therapy of Norepinephrine Transporter–Expressing Tumors
Yamaguchi, A., Hanaoka, H., Higuchi, T., & Tsushima, Y. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.201525 · Cited by 15
The anticarcinogenic effect of eugenol on lung cancer induced by diethylnitrosamine/2-acetylaminofluorene in Wistar rats: insight on the mechanisms of action
Morsy, H. M., Ahmed, O. M., Zoheir, K. M. A., & Abdel‐Moneim, A. (2023) · APOPTOSIS · doi:10.1007/s10495-023-01852-2 · Cited by 15
Endobronchial ultrasound-guided transbronchial needle aspiration
Medford, A. R. L. (2010) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2010.02454.x · Cited by 14
Mediastinal lymphadenectomy in elderly patients with non-small-cell lung cancer
Rivera, C., Falcoz, P., Rami–Porta, R., Velly, J.-F., Bégueret, H., Roques, X., Dahan, M., & Jougon, J. B. (2012) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezs586 · Cited by 13
Non–Small-Cell Lung Cancer PET Imaging Beyond F18 Fluorodeoxyglucose
Cheng, G. (2017) · PET Clinics · doi:10.1016/j.cpet.2017.09.006 · Cited by 13
Spontaneous remission of advanced progressive poorly differentiated non-small cell lung cancer: a case report and review of literature
Yoon, H., Park, H. S., Cho, M. S., Shim, S. S., Kim, Y., & Lee, J. H. (2019) · BMC Pulmonary Medicine · doi:10.1186/s12890-019-0978-4 · Cited by 13
Correlation between expression of Ki-67 and MSCT signs in different types of lung adenocarcinoma
Yan, J., Wang, H., Zhou, H., He, H., Qiu, L., & Wang, Z. (2020) · Medicine · doi:10.1097/md.0000000000018678 · Cited by 13
Adenine Nucleotide Translocase 2 as an Enzyme Related to [18F] FDG Accumulation in Various Cancers
Lee, C., Kim, M. J., Lee, H. H., Paeng, J. C., Park, Y. J., Oh, S. W., Chai, Y. J., Kim, Y. A., Cheon, G. J., Kang, K. W., et al. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-018-1268-x · Cited by 13
Cell-free DNA concentration and fragment size fraction correlate with FDG PET/CT-derived parameters in NSCLC patients
de Aledo‐Castillo, J. M. G., Casanueva-Eliceiry, S., Soler, A., Fuster, D., Pastor, V., Reguart, N., Viñolas, N., Reyes, R., Vollmer, I., Paredes, P., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05306-2 · Cited by 12
Linear EBUS in Staging Non–Small Cell Lung Cancer and Diagnosing Benign Diseases
Dincer, H. E. (2013) · Journal of Bronchology & Interventional Pulmonology · doi:10.1097/lbr.0b013e31827d1514 · Cited by 12
Application of Dynamic 18 F-FDG PET/CT for Distinguishing Intrapulmonary Metastases from Synchronous Multiple Primary Lung Cancer
Lv, W., Yang, M., Zhong, H., Wang, X., Yang, S., Bi, L., Xian, J., Pei, X., He, X., Wang, Y., et al. (2022) · Molecular Imaging · doi:10.1155/2022/8081299 · Cited by 11
Is 18F-FDG PET/CT useful for the differential diagnosis of solitary pulmonary nodules in patients with idiopathic pulmonary fibrosis?
Lee, S. H., Sung, C., Lee, H. S., Yoon, H., Kim, S.-J., Oh, J. S., Song, J. W., Kim, M. Y., & Ryu, J. (2018) · Annals of Nuclear Medicine · doi:10.1007/s12149-018-1273-9 · Cited by 11
Modeling Resistance and Recurrence Patterns of Combined Targeted–Chemoradiotherapy Predicts Benefit of Shorter Induction Period
McClatchy, D. M., Willers, H., Hata, A. N., Piotrowska, Z., Sequist, L. V. D., Paganetti, H., & Grassberger, C. (2020) · Cancer Research · doi:10.1158/0008-5472.can-19-3883 · Cited by 10
Association between histopathological subtype, 18F-fluorodeoxyglucose uptake and epidermal growth factor receptor mutations in lung adenocarcinoma
Qiang, G., Huang, W., Liang, C., Xu, R., Yan, J., Xu, Y., Wang, Y., Da, J., Shi, B., Guo, Y., et al. (2016) · Oncology Letters · doi:10.3892/ol.2016.4154 · Cited by 10
Associations between the standardized uptake value of (18)F-FDG PET/CT and demographic, clinical, pathological, radiological factors in lung cancer.
Sunnetcioglu, A., Arisoy, A., Demi̇r, Y., Ekin, S., & Doğan, E. (2015) · PubMed · Cited by 10
The usefulness of pre-radiofrequency ablation SUV(max) in 18F-FDG PET/CT to predict the risk of a local recurrence of malignant lung tumors after lung radiofrequency ablation.
Harada, S., Sato, S., Suzuki, E., Okumura, Y., Hiraki, T., Gobara, H., Mimura, H., Kanazawa, S., Kaji, M., & Fujiwara, T. (2011) · PubMed · doi:10.18926/amo/47265 · Cited by 9
PET scanning is important in lung cancer; but it has its limitations
Navani, N., & Spiro, S. G. (2010) · Respirology · doi:10.1111/j.1440-1843.2010.01843.x · Cited by 9
Predicting and monitoring response to head and neck cancer radiotherapy using multimodality imaging and radiobiological digital twin simulations
Aliotta, E., Jeong, J., Paudyal, R., Grkovski, M., Diplas, B. H., Han, J. E., Hatzoglou, V., Aristophanous, M., Riaz, N., Schöder, H. M., et al. (2025) · Physics in Medicine and Biology · doi:10.1088/1361-6560/add9de · Cited by 8
Prognostic impact of FDG-PET in surgically treated pathological stage I lung adenocarcinoma.
Higuchi, M., Hasegawa, T., Osugi, J., Suzuki, H., & Gotoh, M. (2014) · Annals of Thoracic and Cardiovascular Surgery · doi:10.5761/atcs.oa.12.02219 · Cited by 7
Imaging pharmacodynamics in oncology: the potential significance of “flares”
Trigonis, I., & Jackson, A. (2010) · Annals of Nuclear Medicine · doi:10.1007/s12149-009-0332-7 · Cited by 8
Higher SUVmax on FDG-PET is associated with shorter survival in adrenocortical carcinoma
Wrenn, S. M., Moore, A. L., Shah, H. J., Barletta, J. A., Vaidya, A., Kilbridge, K. L., Doherty, G. M., Jacene, H. A., & Nehs, M. A. (2022) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2022.08.020 · Cited by 8
18F-fluorodeoxyglucose positron emission tomography is correlated with the pathological necrosis and decreased microvessel density in lung adenocarcinomas
Koh, Y. W., Lee, S. J., & Park, S. Y. (2018) · Annals of Nuclear Medicine · doi:10.1007/s12149-018-1309-1 · Cited by 8
18F-FDG PET/CT total lesion glycolysis is associated with circulating tumor cell counts in patients with stage I to IIIA non-small cell lung cancer
Avella, D. M., Manjunath, Y., Singh, A., Deroche, C. B., Kimchi, E. T., Staveley-O’Carroll, K. F., Mitchem, J. B., Kwon, E. O., Li, G., & Kaifi, J. T. (2020) · Translational Lung Cancer Research · doi:10.21037/tlcr.2020.04.10 · Cited by 8
Prognostic Value of Fluorodeoxyglucose Uptake in Non-small Cell Lung Cancer: Time for Standardization and Validation
Dooms, C., & Vansteenkiste, J. (2010) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e3181d95cc8 · Cited by 8
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions
Pini, C., Kirienko, M., Gelardi, F., Bossi, P., Rahal, D., Toschi, L., Ninatti, G., Rodari, M., Marulli, G., Antunovic, L., et al. (2024) · Cancer Imaging · doi:10.1186/s40644-024-00807-3 · Cited by 8
Modeling the Relationship between Fluorodeoxyglucose Uptake and Tumor Radioresistance as a Function of the Tumor Microenvironment
Jeong, J., & Deasy, J. O. (2014) · Computational and Mathematical Methods in Medicine · doi:10.1155/2014/847162 · Cited by 7
Value of 11C-Choline PET/CT-Based Multi-Metabolic Parameter Combination in Distinguishing Early-Stage Prostate Cancer From Benign Prostate Diseases
Zhou, S., Fu, H., Liu, C., Zhu, Z., Zhang, J., Weng, W., Kang, J., & Liu, Q. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2020.600380 · Cited by 6
Assessing tumor angiogenesis using dynamic contrast-enhanced integrated magnetic resonance-positron emission tomography in patients with non-small-cell lung cancer
Huang, Y., Chen, J. L., Chen, H., Yeh, L.-H., Shih, J., Yen, R., & Chang, Y. (2021) · BMC Cancer · doi:10.1186/s12885-021-08064-4 · Cited by 6

Authors: Vesselle, H., Salskov, A., Turcotte, E., Wiens, L., Schmidt, R., Jordan, C. D., Vallières, E., & Wood, D. E.
Affiliations: University of Washington (US)
Corresponding author: Vesselle, Hubert
ORCID: Vesselle, Hubert
Jordan, C Diana
Vallières, Eric
Wood, Douglas E.
Venue: Journal of Thoracic Oncology
Publisher: Elsevier BV
Published: 2008-09
Volume: 3
Issue: 9
Pages: 971-978
ISSN: 1556-0864 (ISSN-L)
DOI: 10.1097/jto.0b013e31818307a7
OpenAlex: W1979039258
Semantic Scholar: 47e32ad0bcc9c0453f63876438f1cdc0803650f5
Cited by: 165
References: 50
Citations by year: 2026: 3 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 13 · 2021: 9 · 2020: 9 · 2019: 4 · 2018: 16 · 2017: 7 · 2016: 10 · 2015: 8 · 2014: 13 · 2013: 10 · 2012: 13
FWCI: 9.83
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 2648 d)
Locations: Journal of Thoracic Oncology (publishedVersion)
PubMed (publishedVersion)
Funders: University of Washington
National Cancer Institute (1R01 CA80907, R01CA115559, R01CA080907, R01CA107264)
Topics: Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords: non-small cell lung cancer, FDG uptake, positron emission tomography, Ki-67 proliferation index, tumor histologic subtype, tumor differentiation, bronchioloalveolar carcinoma, adenocarcinoma, squamous cell carcinoma, tumor glucose metabolism, partial volume correction, tumor size
MeSH terms: Adenocarcinoma, Adenocarcinoma, Bronchiolo-Alveolar, Carcinoma, Non-Small-Cell Lung, Carcinoma, Squamous Cell, Female, Humans, Lung Neoplasms, Male, Neoplasm Staging, Prognosis, Prospective Studies, Radiography, Thoracic, Tomography, X-Ray Computed, Biomarkers, Tumor, Cohort Studies, Carcinoma, Large Cell, Radiopharmaceuticals, Ki-67 Antigen, Fluorodeoxyglucose F18, Positron-Emission Tomography

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Relationship Between Non-small Cell Lung Cancer FDG Uptake at PET, Tumor Histology, and Ki-67 Proliferation Index

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks