EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors

Wahl, R. L., Jacene, H., Kasamon, Y., & Lodge, M. A. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.057307 · Cited by 3,777

FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0

Boellaard, R., Delgado-Bolton, R., Oyen, W. J. G., Giammarile, F., Tatsch, K., Eschner, W., Verzijlbergen, F. J., Barrington, S. F., Pike, L. C., Weber, W. A., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2961-x · Cited by 3,303

FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0

Boellaard, R., O’Doherty, M. J., Weber, W., Mottaghy, F. M., Lonsdale, M. N., Stroobants, S. G., Oyen, W. J. G., Kotzerke, J., Hoekstra, O. S., Pruim, J., et al. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1297-4 · Cited by 1,329

Standards for PET Image Acquisition and Quantitative Data Analysis

Boellaard, R. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.057182 · Cited by 906

Performance Measurements of the Siemens mMR Integrated Whole-Body PET/MR Scanner

Delso, G., Fürst, S., Jakoby, B., Ladebeck, R., Ganter, C., Nekolla, S. G., Schwaiger, M., & Ziegler, S. I. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.092726 · Cited by 870

Fully 3-D PET reconstruction with system matrix derived from point source measurements

Panin, V. Y., Kehren, F., Michel, C., & Casey, M. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.876171 · Cited by 536

Characterization of PET/CT images using texture analysis: the past, the present… any future?

Hatt, M., Tixier, F., Pierce, L. A., Kinahan, P. E., Rest, C. C. L., & Visvikis, D. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3427-0 · Cited by 494

Simultaneous maximum a posteriori reconstruction of attenuation and activity distributions from emission sinograms

Nuyts, J. L., Dupont, P. J., Stroobants, S. G., Benninck, R., Mortelmans, L., & Suetens, P. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.774167 · Cited by 361

PET-CT–Based Auto-Contouring in Non–Small-Cell Lung Cancer Correlates With Pathology and Reduces Interobserver Variability in the Delineation of the Primary Tumor and Involved Nodal Volumes

van Baardwijk, A. A. W., Bosmans, G., Boersma, L. J., Buijsen, J., Wanders, S. L., Hochstenbag, M. M. H., van Suylen, R. J., Dekker, A. L. A. J., Oberije, C., Houben, R. M. A., et al. (2007) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2006.12.067 · Cited by 295

Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL

Mikhaeel, N. G., Smith, D., Dunn, J., Phillips, M., Møller, H., Fields, P. A., Wrench, D., & Barrington, S. F. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3315-7 · Cited by 295

Diagnostic effectiveness of [18F]Fluoroestradiol PET/CT in oestrogen receptor-positive breast cancer: the key role of histopathology. Evidence from an international multicentre prospective study

Bottoni, G., Fiz, F., Puntoni, M., Matteucci, F., Monti, M., DeCensi, A., Nanni, O., Brain, E. G. C., Alberini, J., Dib, B., et al. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06173-9 · Cited by 20

Assessment of alteration in liver 18F–FDG uptake due to steatosis in lymphoma patients and its impact on the Deauville score

Salomon, T., Nganoa, C., Gac, A., Fruchart, C., Damaj, G. L., Aide, N., & Lasnon, C. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-017-3914-y · Cited by 20

Moving the goalposts while scoring―the dilemma posed by new PET technologies

Rogasch, J. M. M., Boellaard, R., Pike, L., Borchmann, P., Johnson, P., Wolf, J., Barrington, S. F., & Kobe, C. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05403-2 · Cited by 20

Harmonized pretreatment quantitative volume-based FDG-PET/CT parameters for prognosis of stage I-III breast cancer: Multicenter study

Kitajima, K., Miyoshi, Y., Sekine, T., Takei, H., Ito, K., Suto, A., Kaida, H., Ishii, K., Daisaki, H., & Yamakado, K. (2021) · Oncotarget · doi:10.18632/oncotarget.27851 · Cited by 19

A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in $$[^{18}$$F]FDG PET/CT

Nikulin, P., Zschaeck, S., Maus, J., Cegła, P., Lombardo, E., Furth, C., Kaźmierska, J., Rogasch, J. M. M., Holzgreve, A., Albert, N. L., et al. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06197-1 · Cited by 19

Utility of a simplified [18F] sodium fluoride PET imaging method to quantify bone metabolic flux for a wide range of clinical applications

Puri, T., Frost, M., Moore, A. E. B., Choudhury, A., Vinjamuri, S., Mahajan, A., Fynbo, C., Vrist, M., Theil, J., Kairemo, K., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1236881 · Cited by 17

The association between active tumor volume, total lesion glycolysis and levels of S-100B and LDH in stage IV melanoma patients

Deckers, E. A., Kruijff, S., Brouwers, A. H., van der Steen, K., Hoekstra, H. J., Thompson, J. F., García, D. V., & Wevers, K. P. (2020) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2020.07.011 · Cited by 18

Lymph node staging with fluorine-18 prostate specific membrane antigen 1007-positron emission tomography/computed tomography in newly diagnosed intermediate- to high-risk prostate cancer using histopathological evaluation of extended pelvic node dissection as reference

Hermsen, R., Wedick, E. B. C., Vinken, M., van Kalmthout, L. W. M., Küsters‐Vandevelde, H. V. N., Wijers, C. H. W., Somford, D. M., & van Basten, J. A. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05827-4 · Cited by 18

Prognostic value of functional tumor burden on 68Ga-DOTATOC PET/CT in patients with pancreatic neuro-endocrine tumors

Ohnona, J., Nataf, V., Gauthé, M., Balogová, S., Bélissant, O., Zhang-Yin, J. T., Talbot, J., & Montravers, F. (2018) · Neoplasma · doi:10.4149/neo_2018_180328n209 · Cited by 18

Baseline PSMA PET/CT parameters predict overall survival and treatment response in metastatic castration-resistant prostate cancer patients

Kleiburg, F., de Geus‐Oei, L., Spijkerman, R., Noortman, W. A., van Velden, F. H. P., Manohar, S., Smit, F., Toonen, F. A. J., Luelmo, S. A. C., van der Hulle, T., et al. (2025) · European Radiology · doi:10.1007/s00330-025-11360-3 · Cited by 17

Digital detector PET/CT increases Centiloid measures of amyloid in Alzheimer's disease: A head-to-head comparison of cameras

Gillman, A., Bourgeat, P., Cox, T. O., Villemagne, V. L., Fripp, J., Huang, K., Williams, R. C., Shishegar, R., O'Keefe, G. J., Li, S., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877241313063 · Cited by 17

The Prognostic Value of 18F-FDG PET Imaging at Staging in Patients with Malignant Pleural Mesothelioma: A Literature Review

Taralli, S., Giancipoli, R. G., Caldarella, C., Scolozzi, V., Ricciardi, S., Cardillo, G., & Calcagni, M. L. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm11010033 · Cited by 17

The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI

Moummad, I., Jaudet, C., Lechervy, A., Valable, S., Raboutet, C., Soilihi, Z., Thariat, J., Falzone, N., Lacroix, J., Batalla, A., et al. (2021) · Cancers · doi:10.3390/cancers14010036 · Cited by 17

Position dependence of recovery coefficients in 177Lu-SPECT/CT reconstructions – phantom simulations and measurements

Leube, J., Claeys, W., Gustafsson, J., Salas-Ramirez, M., Laßmann, M., Koole, M. J. B., & Tran‐Gia, J. (2024) · EJNMMI Physics · doi:10.1186/s40658-024-00662-y · Cited by 17

Combining 18F-FDG PET/CT–Based Metabolically Active Tumor Volume and Circulating Cell-Free DNA Significantly Improves Outcome Prediction in Chemorefractory Metastatic Colorectal Cancer

Woff, E., Kehagias, P., Vandeputte, C., Ameye, L., Guiot, T., Paesmans, M., Hendlisz, A., & Flamen, P. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.222919 · Cited by 17

Reliability of quantitative F-18 FDG PET/CT imaging biomarkers for classifying early response to chemoradiotherapy in patients with locally advanced non-small cell lung cancer

Horn, K., Thomas, H., Vesselle, H., Kinahan, P., Miyaoka, R., Rengan, R., Zeng, J., & Bowen, S. (2021) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000003774 · Cited by 12

Can 18F-FES PET Improve the Evaluation of 18F-FDG PET in Patients With Metastatic Invasive Lobular Carcinoma?

Liu, C., Ma, G., Xu, X., Song, S., & Yang, Z. (2024) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000005085 · Cited by 16

Surveillance of Clinically Complete Responders Using Serial 18F-FDG PET/CT Scans in Patients with Esophageal Cancer After Neoadjuvant Chemoradiotherapy

Valkema, M. J., van der Wilk, B. J., Eyck, B. M., Wijnhoven, B. P. L., Spaander, M. C. W., Doukas, M., Lagarde, S. M., Schreurs, W. M. J., Roef, M. J., van Lanschot, J. J. B., et al. (2020) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.247981 · Cited by 15

Response Evaluation Following Radiation Therapy With 18F-FDG PET/CT: Common Variants of Radiation-Induced Changes and Potential Pitfalls

Dejanović, D., Specht, L., Czyzewska, D., Berthelsen, A. K., & Loft, A. (2022) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2022.06.001 · Cited by 14

Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study

Monsef, A., Ay, M., Sheikhzadeh, P., Geramifar, P., Rahmim, A., & Ghafarian, P. (2022) · Nuclear medicine communications · doi:10.1097/mnm.0000000000001598 · Cited by 11

Perspectives on joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards for [18F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors

Lopci, E., Aide, N., Dimitrakopoulou-Strauss, A., Dercle, L., Iravani, A., Seban, R., Sachpekidis, C., Humbert, O., Gheysens, O., Glaudemans, A., et al. (2022) · Cancer Imaging · doi:10.1186/s40644-022-00512-z · Cited by 14

Evaluation of Quantitative Ga-68 PSMA PET/CT Repeatability of Recurrent Prostate Cancer Lesions Using Both OSEM and Bayesian Penalized Likelihood Reconstruction Algorithms

Roef, M., Rijnsdorp, S., Brouwer, C., Wyndaele, D., & Arends, A. (2021) · Diagnostics · doi:10.3390/diagnostics11061100 · Cited by 11

PSMA Theranostics in Prostate Cancer and Beyond: Current and Future Perspectives

Sandhu, K., Chen, D. C., Hennes, D. M. Z. B., Murphy, D. G., Lawrentschuk, N., & Perera, M. (2025) · Cancers · doi:10.3390/cancers17223717 · Cited by 15

Expert consensus on workflow of PET/CT with long axial field-of-view

Liu, G., Gu, Y., Sollini, M., Lazăr, A. M., Besson, F. L., Li, S., Wu, Z., Nardo, L., Al‐Ibraheem, A., Zheng, J., et al. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06968-4 · Cited by 13

Quality Assessment in FDG-PET/CT Imaging of Head-and-Neck Cancer: One Home Run Is Better Than Two Doubles

WYNGAERT, T. V. D., Schepper, S. D., & Carp, L. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01458 · Cited by 13

Comprehensive analysis of the influence of G-CSF on the biodistribution of 18F-FDG in lymphoma patients: insights for PET/CT scheduling

Oliveira, M., Lasnon, C., Nganoa, C., Gac, A., Damaj, G. L., & Aide, N. (2019) · EJNMMI Research · doi:10.1186/s13550-019-0546-1 · Cited by 13

Advantages and Challenges of Total-Body PET/CT at a Tertiary Cancer Center: Insights from Sun Yat-sen University Cancer Center

Chen, W., Li, Y., Li, Z., Jiang, Y., Cui, Y., Zeng, J., Mo, Y., Tang, S., Li, S., Liu, L., et al. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.123.266948 · Cited by 11

Imaging Characteristics and Diagnostic Performance of 2-deoxy-2-[18F]fluoro-d-Glucose PET/CT for Melanoma Patients Who Demonstrate Hyperprogressive Disease When Treated with Immunotherapy

Nakamoto, R., Zaba, L. C., Rosenberg, J., Reddy, S. A., Nobashi, T. W., Ferri, V., Davidzon, G., Aparici, C. M., Nguyen, J., Moradi, F., et al. (2020) · Molecular Imaging and Biology · doi:10.1007/s11307-020-01526-4 · Cited by 12

The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer

Konert, T., van de Kamer, J. B., Sonke, J., & Vogel, W. V. (2018) · Journal of Thoracic Disease · doi:10.21037/jtd.2018.07.101 · Cited by 12

Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test

Vallot, D., Ponti, E. D., Morzenti, S., Gramek-Jedwabna, A., Pieczonka, A., Llompart, G. R., Siennicki, J., Deak, P. D., Dutta, C., Uribe, J., et al. (2020) · EJNMMI Physics · doi:10.1186/s40658-020-00294-y · Cited by 12

Prognostic parameters on baseline and interim [18F]FDG-PET/computed tomography in diffuse large B-cell lymphoma patients

Czibor, S., Carr, R. A., Redondo, F., Auewarakul, C. U., Cerci, J. J., Páez, D., Fanti, S., Györke, T., & Györke, T. (2023) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000001664 · Cited by 12

Intrapatient 16α-[ 18 F]Fluoro-17β-Estradiol PET Heterogeneity as a Prognostic Factor for Endocrine Therapy Response and Survival in Patients with Estrogen Receptor–Positive Metastatic Breast Cancer

van Geel, J., Moustaquim, J., Boers, J., Elias, S. G., Smeets, E., Knip, J. J., Glaudemans, A. W. J. M., de Vries, E. F. J., Hospers, G. A. P., van Kruchten, M., et al. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268984 · Cited by 11

Short 2-[18F]Fluoro-2-Deoxy-D-Glucose PET Dynamic Acquisition Protocol to Evaluate the Influx Rate Constant by Regional Patlak Graphical Analysis in Patients With Non-Small-Cell Lung Cancer

Indovina, L., Scolozzi, V., Capotosti, A., Sestini, S., Taralli, S., Cusumano, D., Giancipoli, R. G., Ciasca, G., Cardillo, G., & Calcagni, M. L. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.725387 · Cited by 11

Community Survey Results Show that Standardisation of Preclinical Imaging Techniques Remains a Challenge

Tavares, A., Mezzanotte, L., McDougald, W., Bernsen, M. R., Vanhove, C., Aswendt, M., Ielacqua, G. D., Gremse, F., MORAN, C. M., Warnock, G., et al. (2022) · Molecular Imaging and Biology · doi:10.1007/s11307-022-01790-6 · Cited by 11

Optimization of BMI-Based Images for Overweight and Obese Patients — Implications on Image Quality, Quantification, and Radiation Dose in Whole Body 18F-FDG PET/CT Imaging

Bouchareb, Y., Tag, N., Sulaiman, H., Riyami, K. A., Jawa, Z. M., & Al-Dhuhli, H. (2023) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-023-00795-5 · Cited by 12

How to Report PSMA PET

Swiha, M. M., Ayati, N., Oprea‐Lager, D. E., Ceci, F., & Emmett, L. (2023) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2023.07.007 · Cited by 12

Arterial inflammation on [18F]FDG PET/CT in melanoma patients treated with and without immune checkpoint inhibitors: CHECK-FLAME I

Polomski, E. A. S., Kapiteijn, E., Heemelaar, J. C., van der Kolk, A. V., Kalisvaart, T. M., van de Burgt, A., Dibbets‐Schneider, P., van Velden, F. H. P., Seijkens, T. T. P., Stöger, J. L., et al. (2024) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2024.118595 · Cited by 10

TOFA-PREDICT study protocol: a stratification trial to determine key immunological factors predicting tofacitinib efficacy and drug-free remission in psoriatic arthritis (PsA)

Kleinrensink, N. J., Perton, F. T., Pouw, J. N., Vincken, N. L. A., Hartgring, S. A. Y., Jansen, M. P., Arbabı, S., TOFA-PREDICT author group, Foppen, W., de Jong, P. A., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-064338 · Cited by 10

Prognostic significance of normalized FDG-PET parameters in patients with multiple myeloma undergoing induction chemotherapy and autologous hematopoietic stem cell transplantation: a retrospective single-center evaluation

Ripani, D., Caldarella, C., Zà, T., Pizzuto, D. A., Rossi, E., Stefano, V. D., & Giordano, A. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4108-y · Cited by 10

Interrater Agreement and Reliability of PERCIST and Visual Assessment When Using 18F-FDG-PET/CT for Response Monitoring of Metastatic Breast Cancer

Sørensen, J. S., Vilstrup, M. H., Holm, J., Vogsen, M., Bülow, J. L., Ljungstrøm, L., Braad, P.-E., Gerke, O., & Hildebrandt, M. G. (2020) · Diagnostics · doi:10.3390/diagnostics10121001 · Cited by 10

What and how should we measure in paediatric oncology FDG-PET/CT? Comparison of commonly used SUV metrics for differentiation between paediatric tumours

Blautzik, J., Grelich, L., Schramm, N., Henkel, R., Bartenstein, P., & Pfluger, T. (2019) · EJNMMI Research · doi:10.1186/s13550-019-0577-7 · Cited by 10

Combined Metabolically Active Tumor Volume and Early Metabolic Response Improve Outcome Prediction in Metastatic Colorectal Cancer

Woff, E., Salvatore, L., Marmorino, F., Genovesi, D., Critchi, G., Guiot, T., Ameye, L., Sclafani, F., Hendlisz, A., & Flamen, P. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.245357 · Cited by 9

Positron emission tomography in breast cancer: 18F- FDG and other radiopharmaceuticals

Iakovou, I. P., Giannoula, E. I., Gkantaifi, A., Levva, S., & Frangos, S. (2018) · European Journal of Hybrid Imaging · doi:10.1186/s41824-018-0039-x · Cited by 9

Personalisation of Molecular Radiotherapy through Optimisation of Theragnostics

Davis, L., Smith, A.-L., Aldridge, M. D., Foulkes, J., Peet, C., Wan, S., Gains, J. E., Bomanji, J. B., & Gaze, M. N. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10040174 · Cited by 9

Strong Correlation Between SUVmaxon PSMA PET/CT and Numeric Drop-In γ-Probe Signal for Intraoperative Identification of Prostate Cancer Lesions

Berrens, A., Sorbi, M. A., Donswijk, M. L., de Barros, H. A., Azargoshasb, S., van Oosterom, M. N., Rietbergen, D. D. D., Bekers, E. M., van der Poel, H. G., van Leeuwen, F. W. B., et al. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.123.267075 · Cited by 9

How Often Do We Fail to Classify the Treatment Response with [18F]FDG PET/CT Acquired on Different Scanners? Data from Clinical Oncological Practice Using an Automatic Tool for SUV Harmonization

Mattoli, M. V., Calcagni, M. L., Taralli, S., Indovina, L., Spottiswoode, B. S., & Giordano, A. (2019) · Molecular Imaging and Biology · doi:10.1007/s11307-019-01342-5 · Cited by 9

PET/CT-Based Response Evaluation in Cancer—a Systematic Review of Design Issues

Gerke, O., Ehlers, K., Motschall, E., Høilund‐Carlsen, P. F., & Vach, W. (2019) · Molecular Imaging and Biology · doi:10.1007/s11307-019-01351-4 · Cited by 9

Convolutional neural networks for automatic image quality control and EARL compliance of PET images

Pfaehler, E. A. G., Euba, D., Rinscheid, A., Hoekstra, O. S., Zijlstra, J. M., van Sluis, J., Brouwers, A. H., Lapa, C., & Boellaard, R. (2022) · EJNMMI Physics · doi:10.1186/s40658-022-00468-w · Cited by 9

EJNMMI supplement: bringing AI and radiomics to nuclear medicine

Veit‐Haibach, P., Buvat, I., & Herrmann, K. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04395-4 · Cited by 9

Role of volumetric analyses on [18F]FDG PET/CT in pediatric Hodgkin lymphoma

Lopci, E., & Mascarin, M. (2023) · Expert Review of Hematology · doi:10.1080/17474086.2023.2238125 · Cited by 9

Denoising approaches by SubtlePET™ artificial intelligence in positron emission tomography (PET) for clinical routine application

Summa, M. D., Ruggiero, M. R., Spinosa, S., Iachetti, G., Esposito, S., Annunziata, S., & Pizzuto, D. A. (2024) · Clinical and Translational Imaging · doi:10.1007/s40336-024-00625-4 · Cited by 8

Baseline and early 18F-FDG PET/CT evaluations as predictors of progression-free survival in metastatic breast cancer patients treated with targeted anti-CDK therapy

Lasnon, C., Morel, A., Aide, N., Silva, A. D., & Emile, G. (2024) · Cancer Imaging · doi:10.1186/s40644-024-00727-2 · Cited by 8

Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation

Bonney, L. M., Kalisvaart, G. M., van Velden, F. H. P., Bradley, K. M., Hassan, A. B., Grootjans, W., & McGowan, D. R. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07149-7 · Cited by 8

Head-to-Head comparison of [18F]FES and [18F]FDG PET/CT in breast cancer patients: has a new era come?

Guglielmo, P., Mazzola, R., Darwish, S. S., Valenti, F., Pas, T. M. D., Setti, L. R., Bonacina, M., Grassi, M. M., & Evangelista, L. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07186-2 · Cited by 8

European Association of Nuclear Medicine (EANM) Focus Meeting 6 Consensus on Molecular Imaging in Breast Cancer

Vaz, S. C., Maclennan, S., van Nijnatten, T. V., Attard, A., Backhaus, P., Baltzer, P., Koretić, M. B., Buckle, T., Cook, G. J. R., Dibble, E. H., et al. (2025) · The EANM Journal · doi:10.1016/j.eanmj.2025.100004 · Cited by 7

Implementation of FDG-PET/CT imaging methodology for quantification of inflammatory response in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial.

Jahangiri, P., Dreyfuss, A. D., Duan, F., Snyder, B. S., Borja, A. J., Pournazari, K., Kothekar, E., Arani, L. S., Al-Zaghal, A., Seraj, S. M., et al. (2021) · Europe PMC (PubMed Central) · Cited by 8

3-D Printing of Calibrated Germanium-68 PET Phantoms Without Inactive Walls

Meier, L. P., Läppchen, T., Hentschel, M., Rominger, A., & Prenosil, G. A. (2023) · IEEE Transactions on Radiation and Plasma Medical Sciences · doi:10.1109/trpms.2023.3275994 · Cited by 8

Effects of breathing motion on PET acquisitions

Owaki, Y., Nakahara, T., Shimizu, T., Smith, A. M., Luk, W. K., Inoue, K., Fukushi, M., & Nakajima, K. (2018) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000852 · Cited by 8

Nuclear Medicine Physics: Review of Advanced Technology

Oh, J. S. (2020) · Progress in Medical Physics · doi:10.14316/pmp.2020.31.3.81 · Cited by 8

11C-methyl-L-methionine PET measuring parameters for the diagnosis of tumour progression against radiation-induced changes in brain metastases

Govaerts, C. W., van Dijken, B. R. J., Stormezand, G. N., van der Weide, H. L., Wagemakers, M., Enting, R. H., & van der Hoorn, A. (2021) · British Journal of Radiology · doi:10.1259/bjr.20210275 · Cited by 8

A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom

Catana, C., Laforest, R. A., An, H., Boada, F. E., Cao, T., Faul, D. D., Jakoby, B., Jansen, F. P., Kemp, B. J., Kinahan, P. E., et al. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.261881 · Cited by 8

Protocols for Harmonized Quantification and Noise Reduction in Low-Dose Oncologic 18F-FDG PET/CT Imaging

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Piwowarska-Bilska, H., Supińska, A., & Birkenfeld, B. (2022) · EJNMMI Physics · doi:10.1186/s40658-022-00434-6 · Cited by 6

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PET imaging and quantification of small animals using a clinical SiPM-based camera

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18F-Labeled Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography in Staging and Restaging Patients With Breast Cancer.

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The role of dual-tracer PET imaging with ER and HER2 in patients with metastatic breast cancer: a pilot study

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Semi-Quantitative Characterization of Post-Transplant Lymphoproliferative Disorder Morphological Subtypes with [18F]FDG PET/CT

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The role of medical physicists in clinical trials across Europe

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Study of the Effect of Reconstruction Parameters for Myocardial Perfusion Imaging in PET With a Novel Flow Phantom

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Enhancing PET/CT Assessment with Porous 3D Printed Grids– A Pilot StudyPreprint

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Quantitative and clinical implications of the EARL2 versus EARL1 [18F]FDG PET-CT performance standards in head and neck squamous cell carcinoma

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Immunohistochemical and histopathological validation of 18F‐PSMA‐1007 PET/CT for intraprostatic cancerous lesions

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Comparison of quantitative whole body PET parameters on [68Ga]Ga-PSMA-11 PET/CT using ordered Subset Expectation Maximization (OSEM) vs. bayesian penalized likelihood (BPL) reconstruction algorithms in men with metastatic castration-resistant prostate cancer

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Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake

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Image Registration of 18F-FDG PET/CT Using the MotionFree Algorithm and CT Protocols through Phantom Study and Clinical Evaluation

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Increased vascular inflammation on PET/CT in psoriatic arthritis patients in comparison with controls

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The impact of introducing deep learning based [18F]FDG PET denoising on EORTC and PERCIST therapeutic response assessments in digital PET/CT

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Standardisation and harmonisation of quantitative oncology PET/CT studies

Kaalep, A. (2020) · doi:10.33612/diss.122708993 · Cited by 1

Standardization and harmonization of quantitative PET/CT and SPECT/CT imaging: towards a universal quantitative language for precision nuclear medicine

Braziewicz, J. (2026) · Nuclear Medicine Review · doi:10.5603/nmr.113838

WE-AB-204-05: Harmonizing PET/CT Quantification in Multicenter Studies: A Case Study

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Evaluation of strategies towards harmonization of FDG PET/CT studies in multicentre trials: comparison of scanner validation phantoms and data analysis procedures

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Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study

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