{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T18:02:19Z","timestamp":1784743339733,"version":"3.55.0"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:00:00Z","timestamp":1765497600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","physicamedica.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Physica Medica"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1016\/j.ejmp.2025.105694","type":"journal-article","created":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T03:49:13Z","timestamp":1765856953000},"page":"105694","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Enhancing radiomic feature selection in PET-based heterogeneity analysis through tumor-volume-weighted normalization"],"prefix":"10.1016","volume":"141","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8124-9945","authenticated-orcid":false,"given":"Goodluck","family":"Okoro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine C.","family":"Applegate","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3470-755X","authenticated-orcid":false,"given":"Michael B.","family":"Nelappana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elaine A.","family":"Nielsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iwona T.","family":"Dobrucki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence W.","family":"Dobrucki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejmp.2025.105694_b0005","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1148\/radiol.13122697","article-title":"Quantitative Imaging in Cancer Evolution and Ecology","volume":"269","author":"Gatenby","year":"2013","journal-title":"Radiology"},{"key":"10.1016\/j.ejmp.2025.105694_b0010","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1148\/radiol.2015141309","article-title":"Non-small cell lung cancer treated with erlotinib: Heterogeneity of 18F-FDG uptake at PET-association with treatment response and prognosis","volume":"276","author":"Cook","year":"2015","journal-title":"Radiology"},{"key":"10.1016\/j.ejmp.2025.105694_b0015","doi-asserted-by":"crossref","first-page":"4006","DOI":"10.1038\/ncomms5006","article-title":"Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach","volume":"5","author":"Aerts","year":"2014","journal-title":"Nat Commun"},{"key":"10.1016\/j.ejmp.2025.105694_b0020","doi-asserted-by":"crossref","first-page":"e416","DOI":"10.1038\/emm.2017.165","article-title":"The significance of intertumor and intratumor heterogeneity in liver cancer","volume":"50","author":"Liu","year":"2018","journal-title":"Exp Mol Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0025","doi-asserted-by":"crossref","first-page":"10051","DOI":"10.18632\/oncotarget.7067","article-title":"Pan-cancer analysis of intratumor heterogeneity as a prognostic determinant of survival","volume":"7","author":"Morris","year":"2016","journal-title":"Oncotarget"},{"key":"10.1016\/j.ejmp.2025.105694_b0030","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1002\/acm2.12170","article-title":"Reproducibility of F18\u2010FDG PET radiomic features for different cervical tumor segmentation methods, gray\u2010level discretization, and reconstruction algorithms","volume":"18","author":"Altazi","year":"2017","journal-title":"J Appl Clin Med Phys"},{"key":"10.1016\/j.ejmp.2025.105694_b0035","doi-asserted-by":"crossref","first-page":"406","DOI":"10.2967\/jnumed.116.180919","article-title":"Reliability of PET\/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non\u2013Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort","volume":"58","author":"Desseroit","year":"2017","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0040","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1007\/s00259-018-4138-5","article-title":"Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer","volume":"46","author":"Moon","year":"2019","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.ejmp.2025.105694_b0045","first-page":"563","article-title":"Radiomics: Images Are More than Pictures","volume":"278","author":"Gillies","year":"2016","journal-title":"They Are Data. Radiology"},{"key":"10.1016\/j.ejmp.2025.105694_b0050","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1146\/annurev-bioeng-071114-040723","article-title":"Positron Emission Tomography: Current Challenges and Opportunities for Technological Advances in Clinical and Preclinical Imaging Systems","volume":"17","author":"Vaquero","year":"2015","journal-title":"Annu Rev Biomed Eng"},{"key":"10.1016\/j.ejmp.2025.105694_b0055","doi-asserted-by":"crossref","first-page":"20262","DOI":"10.1038\/s41598-020-76980-9","article-title":"Positron annihilation localization by nanoscale magnetization","volume":"10","author":"Gholami","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejmp.2025.105694_b0060","first-page":"343","author":"Gonzalez-Montoro","year":"2024","journal-title":"PET System Technology: Theoretical Aspects and Experimental Methodology"},{"key":"10.1016\/j.ejmp.2025.105694_b0065","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1038\/s41598-021-81526-8","article-title":"Repeatability and reproducibility study of radiomic features on a phantom and human cohort","volume":"11","author":"Jha","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejmp.2025.105694_b0070","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1002\/pros.24483","article-title":"Lack of repeatability of radiomic features derived from PET scans: Results from a 18 F\u2010DCFPyL test\u2013retest cohort","volume":"83","author":"Werner","year":"2023","journal-title":"Prostate"},{"key":"10.1016\/j.ejmp.2025.105694_b0075","doi-asserted-by":"crossref","first-page":"38","DOI":"10.2967\/jnumed.114.144055","article-title":"18 F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi\u2013Cancer Site Patient Cohort","volume":"56","author":"Hatt","year":"2015","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0080","doi-asserted-by":"crossref","first-page":"534","DOI":"10.2214\/AJR.15.15864","article-title":"Imaging Heterogeneity in Lung Cancer: Techniques, Applications, and Challenges","volume":"207","author":"Bashir","year":"2016","journal-title":"Am J Roentgenol"},{"key":"10.1016\/j.ejmp.2025.105694_b0085","doi-asserted-by":"crossref","first-page":"37","DOI":"10.2967\/jnumed.112.116715","article-title":"The Effect of Small Tumor Volumes on Studies of Intratumoral Heterogeneity of Tracer Uptake","volume":"55","author":"Brooks","year":"2014","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0090","first-page":"2071","article-title":"Dependence of various radiomics features on different imaging characteristics","volume":"55","author":"van Velden","year":"2014","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0095","doi-asserted-by":"crossref","first-page":"5819","DOI":"10.1002\/mp.15853","article-title":"A multi-modality physical phantom for mimicking tumor heterogeneity patterns in PET\/CT and PET\/MRI","volume":"49","author":"Valladares","year":"2022","journal-title":"Med Phys"},{"key":"10.1016\/j.ejmp.2025.105694_b0100","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ac2ea5","article-title":"Generalized methodology for radiomic feature selection and modeling in predicting clinical outcomes","volume":"66","author":"Yang","year":"2021","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ejmp.2025.105694_b0105","doi-asserted-by":"crossref","first-page":"18263","DOI":"10.1038\/s41598-023-45477-6","article-title":"Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability","volume":"13","author":"Zhang","year":"2023","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejmp.2025.105694_b0110","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0170920","article-title":"Fitting power-laws in empirical data with estimators that work for all exponents","volume":"12","author":"Hanel","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.ejmp.2025.105694_b0115","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1111\/j.1525-1594.2004.00015.x","article-title":"The Power\u2010law Mathematical Model for Blood Damage Prediction: Analytical Developments and Physical Inconsistencies","volume":"28","author":"Grigioni","year":"2004","journal-title":"Artif Organs"},{"key":"10.1016\/j.ejmp.2025.105694_b0120","doi-asserted-by":"crossref","DOI":"10.1098\/rsos.220531","article-title":"A master equation for power laws","volume":"9","author":"Roman","year":"2022","journal-title":"R Soc Open Sci"},{"key":"10.1016\/j.ejmp.2025.105694_b0125","doi-asserted-by":"crossref","first-page":"1667","DOI":"10.2967\/jnumed.115.156927","article-title":"Impact of Image Reconstruction Settings on Texture Features in 18 F-FDG PET","volume":"56","author":"Yan","year":"2015","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0130","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1111\/1754-9485.12289","article-title":"Intra-tumour 18 F - FDG uptake heterogeneity decreases the reliability on target volume definition with positron emission tomography\/computed tomography imaging","volume":"59","author":"Dong","year":"2015","journal-title":"J Med Imaging Radiat Oncol"},{"key":"10.1016\/j.ejmp.2025.105694_b0135","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.1213\/ANE.0000000000002864","article-title":"Correlation Coefficients: Appropriate Use and Interpretation","volume":"126","author":"Schober","year":"2018","journal-title":"Anesth Analg"},{"key":"10.1016\/j.ejmp.2025.105694_b0140","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D Slicer as an image computing platform for the Quantitative Imaging Network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.ejmp.2025.105694_b0145","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0102107","article-title":"Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation","volume":"9","author":"Parmar","year":"2014","journal-title":"PLoS One"},{"key":"10.1016\/j.ejmp.2025.105694_b0150","series-title":"Building Machine Learning and Deep Learning Models on Google Cloud Platform","first-page":"151","author":"Matplotlib","year":"2019"},{"key":"10.1016\/j.ejmp.2025.105694_b0155","doi-asserted-by":"crossref","first-page":"864","DOI":"10.2967\/jnumed.118.217612","article-title":"Optimized Feature Extraction for Radiomics Analysis of 18 F-FDG PET Imaging","volume":"60","author":"Papp","year":"2019","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0160","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.2967\/jnumed.111.092767","article-title":"Impact of Tumor Size and Tracer Uptake Heterogeneity in 18 F-FDG PET and CT Non\u2013Small Cell Lung Cancer Tumor Delineation","volume":"52","author":"Hatt","year":"2011","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0165","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1002\/mp.13322","article-title":"Repeatability of 18 F- FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method","volume":"46","author":"Pfaehler","year":"2019","journal-title":"Med Phys"},{"key":"10.1016\/j.ejmp.2025.105694_b0170","doi-asserted-by":"crossref","first-page":"11S","DOI":"10.2967\/jnumed.108.057182","article-title":"Standards for PET Image Acquisition and Quantitative Data Analysis","volume":"50","author":"Boellaard","year":"2009","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0175","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0164113","article-title":"A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images","volume":"11","author":"Forgacs","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.ejmp.2025.105694_b0180","doi-asserted-by":"crossref","first-page":"4498","DOI":"10.1007\/s00330-017-4859-z","article-title":"The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies","volume":"27","author":"Shiri","year":"2017","journal-title":"Eur Radiol"},{"key":"10.1016\/j.ejmp.2025.105694_b0185","doi-asserted-by":"crossref","first-page":"919","DOI":"10.2967\/jnumed.121.262660","article-title":"Effects of Tracer Uptake Time in Non\u2013Small Cell Lung Cancer 18 F-FDG PET Radiomics","volume":"63","author":"Kolinger","year":"2022","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0190","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1148\/radiol.2020191145","article-title":"The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping","volume":"295","author":"Zwanenburg","year":"2020","journal-title":"Radiology"},{"key":"10.1016\/j.ejmp.2025.105694_b0195","doi-asserted-by":"crossref","first-page":"189","DOI":"10.2967\/jnumed.117.200501","article-title":"Responsible Radiomics Research for Faster Clinical Translation","volume":"59","author":"Valli\u00e8res","year":"2018","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105694_b0200","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.2967\/jnumed.117.199935","article-title":"A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET","volume":"59","author":"Orlhac","year":"2018","journal-title":"J Nucl Med"}],"container-title":["Physica Medica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S112017972500804X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S112017972500804X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:15:15Z","timestamp":1772723715000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S112017972500804X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":40,"alternative-id":["S112017972500804X"],"URL":"https:\/\/doi.org\/10.1016\/j.ejmp.2025.105694","relation":{},"ISSN":["1120-1797"],"issn-type":[{"value":"1120-1797","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhancing radiomic feature selection in PET-based heterogeneity analysis through tumor-volume-weighted normalization","name":"articletitle","label":"Article Title"},{"value":"Physica Medica","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejmp.2025.105694","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"105694"}}