{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T20:53:20Z","timestamp":1790974400390,"version":"4.1.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur J Nucl Med Mol Imaging"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1007\/s00259-026-08038-3","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T07:11:33Z","timestamp":1783667493000},"page":"6775-6789","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From center to edge: Prognostic implications of spatial metabolic heterogeneity, normalized hotspot-to-centroid and perimeter distance, on PET imaging. A systematic review and meta-analysis"],"prefix":"10.1007","volume":"53","author":[{"given":"Sajjad","family":"Sadeghpour","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramin","family":"Sadeghi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atena","family":"Aghaee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armin","family":"Doostparast","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5438-8230","authenticated-orcid":false,"given":"Alessio","family":"Rizzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giorgio","family":"Treglia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Habibollah","family":"Dadgar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,10]]},"reference":[{"issue":"8","key":"8038_CR1","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1007\/s11604-023-01411-4","volume":"41","author":"N Tamaki","year":"2023","unstructured":"Tamaki N, Hirata K, Kotani T, Nakai Y, Matsushima S, Yamada K. Four-dimensional quantitative analysis using FDG-PET in clinical oncology. Jpn J Radiol. 2023;41(8):831\u201342.","journal-title":"Jpn J Radiol"},{"issue":"3","key":"8038_CR2","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1053\/j.seminoncol.2019.07.001","volume":"46","author":"R Fonti","year":"2019","unstructured":"Fonti R, Conson M, Del Vecchio S. PET\/CT in radiation oncology. Semin Oncol. 2019;46(3):202\u20139.","journal-title":"Semin Oncol"},{"key":"8038_CR3","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.semcancer.2023.05.004","volume":"93","author":"M Chen","year":"2023","unstructured":"Chen M, Copley SJ, Viola P, Lu H, Aboagye EO. Radiomics and artificial intelligence for precision medicine in lung cancer treatment. Sem Cancer Biol. 2023;93:97\u2013113.","journal-title":"Sem Cancer Biol"},{"issue":"4","key":"8038_CR4","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RGPM, Granton P, et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441\u20136.","journal-title":"Eur J Cancer"},{"issue":"5","key":"8038_CR5","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1053\/j.semnuclmed.2025.06.012","volume":"55","author":"A Safarian","year":"2025","unstructured":"Safarian A, Mirshahvalad SA, Farbod A, Jung T, Nasrollahi H, Schweighofer-Zwink G, et al. Artificial Intelligence for Tumor [(18)F]FDG PET Imaging: Advancements and Future Trends - Part II. Semin Nucl Med. 2025;55(5):856\u201368.","journal-title":"Semin Nucl Med"},{"issue":"11","key":"8038_CR6","doi-asserted-by":"publisher","first-page":"4184","DOI":"10.1007\/s00259-025-07262-7","volume":"52","author":"L Filippi","year":"2025","unstructured":"Filippi L, Urso L, Manco L, Olivieri M, Badrane I, Evangelista L. Insights into pet-based radiogenomics in oncology: an updated systematic review. Eur J Nucl Med Mol Imaging. 2025;52(11):4184\u201399.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"2","key":"8038_CR7","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1053\/j.semnuclmed.2025.02.006","volume":"55","author":"A Safarian","year":"2025","unstructured":"Safarian A, Mirshahvalad SA, Nasrollahi H, Jung T, Pirich C, Arabi H, et al. Impact of [(18)F]FDG PET\/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role. Semin Nucl Med. 2025;55(2):156\u201366.","journal-title":"Semin Nucl Med"},{"issue":"10","key":"8038_CR8","doi-asserted-by":"publisher","first-page":"2709","DOI":"10.3390\/cancers15102709","volume":"15","author":"X Lv","year":"2023","unstructured":"Lv X, Mao Z, Sun X, Liu B. Intratumoral Heterogeneity in Lung Cancer. Cancers. 2023;15(10):2709.","journal-title":"Cancers"},{"key":"8038_CR9","doi-asserted-by":"crossref","unstructured":"Chen M, Copley SJ, Han Y, Arshad MA, Viola P, Linton-Reid K et al. An explainable imaging-clinical biomarker for non-small cell lung cancer prognostication based on normalised hotspot to centroid distance and [(18)F]FDG PET\/CT radiomics. Eur J Nucl Med Mol Imaging. 2025.","DOI":"10.1007\/s00259-025-07659-4"},{"issue":"10","key":"8038_CR10","doi-asserted-by":"publisher","first-page":"1713","DOI":"10.2741\/4567","volume":"22","author":"M Kirienko","year":"2017","unstructured":"Kirienko M, Gallivanone F, Sollini M, Veronesi G, Voulaz E, Antunovic L, et al. FDG PET\/CT as theranostic imaging in diagnosis of non-small cell lung cancer. Front Biosci (Landmark Ed). 2017;22(10):1713\u201323.","journal-title":"Front Biosci (Landmark Ed)"},{"issue":"11","key":"8038_CR11","doi-asserted-by":"publisher","first-page":"4498","DOI":"10.1007\/s00330-017-4859-z","volume":"27","author":"I Shiri","year":"2017","unstructured":"Shiri I, Rahmim A, Ghaffarian P, Geramifar P, Abdollahi H, Bitarafan-Rajabi A. The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies. Eur Radiol. 2017;27(11):4498\u2013509.","journal-title":"Eur Radiol"},{"issue":"4","key":"8038_CR12","doi-asserted-by":"publisher","first-page":"635","DOI":"10.2967\/jnumed.123.266331","volume":"65","author":"N Hovhannisyan-Baghdasarian","year":"2024","unstructured":"Hovhannisyan-Baghdasarian N, Luporsi M, Captier N, Nioche C, Cuplov V, Woff E, et al. Promising Candidate Prognostic Biomarkers in [(18)F]FDG PET Images: Evaluation in Independent Cohorts of Non-Small Cell Lung Cancer Patients. J Nucl Med. 2024;65(4):635\u201342.","journal-title":"J Nucl Med"},{"key":"8038_CR13","doi-asserted-by":"crossref","unstructured":"Jim\u00e9nez-S\u00e1nchez J, Bosque JJ, Jim\u00e9nez Londo\u00f1o GA, Molina-Garc\u00eda D, Mart\u00ednez \u00c1, P\u00e9rez-Beteta J et al. Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers. Proc Natl Acad Sci U S A. 2021;118(6).","DOI":"10.1073\/pnas.2018110118"},{"issue":"2","key":"8038_CR14","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s40336-016-0219-2","volume":"5","author":"R Sadeghi","year":"2017","unstructured":"Sadeghi R, Treglia G. Systematic reviews and meta-analyses of diagnostic studies: a practical guideline. Clin Translational Imaging. 2017;5(2):83\u20137.","journal-title":"Clin Translational Imaging"},{"key":"8038_CR15","doi-asserted-by":"crossref","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372.","DOI":"10.1136\/bmj.n71"},{"key":"8038_CR16","doi-asserted-by":"crossref","unstructured":"Huang Q, Mo J, Deng X, Jiang Y, Yang M, Wang G, et al. NHOC\/NHOP as novel biomarkers for predicting lymph node metastasis in NSCLC using PET\/CT radiomics and machine learning: a two-center retrospective study. Eur J Nucl Med Mol Imaging. 2026;53(4):2387\u2013402.","DOI":"10.1007\/s00259-025-07560-0"},{"issue":"1","key":"8038_CR17","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1186\/s40644-024-00787-4","volume":"24","author":"SP Hong","year":"2024","unstructured":"Hong SP, Lee SM, Yoo ID, Lee JE, Han SW, Kim SY, et al. Clinical value of SUVpeak-to-tumor centroid distance on FDG PET\/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer. Cancer Imaging. 2024;24(1):136.","journal-title":"Cancer Imaging"},{"issue":"1","key":"8038_CR18","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1186\/s12885-025-14263-0","volume":"25","author":"C Zheng","year":"2025","unstructured":"Zheng C, Miao J, Xu L, Cai Y, Zheng B, Tan Z, et al. Novel PET imaging biomarkers as predictors of postoperative recurrence in lung adenocarcinoma. BMC Cancer. 2025;25(1):874.","journal-title":"BMC Cancer"},{"issue":"4","key":"8038_CR19","first-page":"500103","volume":"44","author":"SP Hong","year":"2025","unstructured":"Hong SP, Lee SM, Yoo ID, Jo IY, Won YK, Kim MS, et al. Prognostic significance of normalized distance from maximum standardized uptake value to tumor centroid on [(18)F]FDG PET\/CT in head and neck squamous cell carcinoma. Rev Esp Med Nucl Imagen Mol (Engl Ed). 2025;44(4):500103.","journal-title":"Rev Esp Med Nucl Imagen Mol (Engl Ed)"},{"key":"8038_CR20","doi-asserted-by":"crossref","unstructured":"Jiang Z, Spielvogel C, Haberl D, Yu J, Krisch M, Szakall S, et al. Spatial imaging features derived from SUVmax location in resectable NSCLC are associated with tumor aggressiveness. Eur J Nucl Med Mol Imaging. 2026;53(3):1458\u201368.","DOI":"10.1007\/s00259-025-07528-0"},{"key":"8038_CR21","doi-asserted-by":"crossref","unstructured":"Bosque JJ, Molina-Garc\u00eda D, P\u00e9rez-Beteta J, Vicente AMG, P\u00e9rez-Garc\u00eda VM. Complementary prognostic value of hotspot-to-centroid distance (NHOCpeak) to SUVpeak in high-grade glioma. Ann Nucl Med. 2026.","DOI":"10.1007\/s12149-025-02138-0"},{"key":"8038_CR22","doi-asserted-by":"crossref","unstructured":"Tan SI, Lue KH, Chen YH, Chu SC, Lin CB, Liu SH. Assessing respiratory motion stability of novel (18)F-Fluorodeoxyglucose positron emission tomography-derived morphological features. Diagnostics (Basel). 2026;16(7).","DOI":"10.3390\/diagnostics16070994"},{"issue":"15","key":"8038_CR23","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1002\/sim.1203","volume":"21","author":"P Royston","year":"2002","unstructured":"Royston P, Parmar MK. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat Med. 2002;21(15):2175\u201397.","journal-title":"Stat Med"},{"key":"8038_CR24","doi-asserted-by":"crossref","unstructured":"Bosque JJ, Molina-Garc\u00eda D, P\u00e9rez-Beteta J, Garc\u00eda Vicente AM, P\u00e9rez-Garc\u00eda VM. Centroid to SUVpeak distance is a prognostic PET biomarker in high-grade glioma. medRxiv. 2025. 2025.08. 22.25334230.","DOI":"10.1101\/2025.08.22.25334230"}],"container-title":["European Journal of Nuclear Medicine and Molecular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-026-08038-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00259-026-08038-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-026-08038-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T20:02:28Z","timestamp":1790971348000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00259-026-08038-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,10]]},"references-count":24,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["8038"],"URL":"https:\/\/doi.org\/10.1007\/s00259-026-08038-3","relation":{},"ISSN":["1619-7070","1619-7089"],"issn-type":[{"value":"1619-7070","type":"print"},{"value":"1619-7089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,10]]},"assertion":[{"value":"14 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not required, as this study is a systematic review and meta-analysis.","order":1,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was not necessary as this study did not include any human experiments.","order":2,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study does not contain any individual person\u2019s data in any form (including any individual details, images or videos).","order":3,"name":"Ethics","label":"Consent to publish","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":4,"name":"Ethics","label":"Clinical trial number","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":5,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}