{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T03:54:48Z","timestamp":1793332488495,"version":"4.5.0"},"reference-count":35,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","radiographyonline.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Radiography"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1016\/j.radi.2024.09.048","type":"journal-article","created":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T21:32:12Z","timestamp":1726608732000},"page":"1501-1507","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Morphometry-based radiomics for predicting prognosis in soft tissue sarcomas of extremities following radiotherapy"],"prefix":"10.1016","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1621-7354","authenticated-orcid":false,"given":"L.P.G.","family":"Sherminie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7979-9147","authenticated-orcid":false,"given":"M.L.","family":"Jayatilake","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.B.","family":"Hewavithana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0843-6389","authenticated-orcid":false,"given":"B.S.","family":"Weerakoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2139-0840","authenticated-orcid":false,"given":"S.M.","family":"Vijithananda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"16","key":"10.1016\/j.radi.2024.09.048_bib1","doi-asserted-by":"crossref","first-page":"3029","DOI":"10.1002\/cncr.33587","article-title":"The ever-increasing importance of cancer as a leading cause of premature death worldwide","volume":"127","author":"Bray","year":"2021","journal-title":"Cancer"},{"issue":"3","key":"10.1016\/j.radi.2024.09.048_bib2","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J Clin"},{"key":"10.1016\/j.radi.2024.09.048_bib3","first-page":"161","volume":"34","author":"Brownstein","year":"2020"},{"issue":"3","key":"10.1016\/j.radi.2024.09.048_bib4","doi-asserted-by":"crossref","first-page":"200","DOI":"10.3322\/caac.21605","article-title":"Soft-tissue sarcoma in adults: an update on the current state of histiotype-specific management in an era of personalized medicine","volume":"70","author":"Gamboa","year":"2020","journal-title":"CA Cancer J Clin"},{"issue":"1","key":"10.1016\/j.radi.2024.09.048_bib5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.3322\/caac.21254","article-title":"Cancer statistics, 2015","volume":"65","author":"Siegel","year":"2015","journal-title":"CA Cancer J Clin"},{"issue":"11","key":"10.1016\/j.radi.2024.09.048_bib6","doi-asserted-by":"crossref","first-page":"1400","DOI":"10.1634\/theoncologist.2016-0498","article-title":"Soft tissue sarcomas of the extremities: surgical margins can Be close as long as the resected tumor has No ink on it","volume":"22","author":"Harati","year":"2017","journal-title":"Oncol"},{"issue":"7","key":"10.1016\/j.radi.2024.09.048_bib7","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1097\/COC.0000000000000346","article-title":"Outcome after surgery for extremity soft tissue sarcoma in patients presenting with metastasis at diagnosis","volume":"41","author":"Krishnan","year":"2018","journal-title":"Am J Clin Oncol: Cancer Clin Trials"},{"key":"10.1016\/j.radi.2024.09.048_bib8","first-page":"1157","volume":"96","author":"Guerrero","year":"2016"},{"key":"10.1016\/j.radi.2024.09.048_bib9","doi-asserted-by":"crossref","first-page":"7891","DOI":"10.1245\/s10434-021-09942-8","article-title":"Late local recurrence and metastasis in soft tissue sarcoma of the extremities and trunk wall: better outcome after treatment of late events compared with early","volume":"28","author":"Von Konow","year":"2021","journal-title":"Ann Surg Oncol"},{"issue":"6","key":"10.1016\/j.radi.2024.09.048_bib10","article-title":"The outcome of extremity soft tissue sarcomas in terms of resection margins: a study from a cancer dedicated center","volume":"14","author":"Shafiq","year":"2022","journal-title":"Cureus"},{"key":"10.1016\/j.radi.2024.09.048_bib11","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1001\/jama.2011.1992","article-title":"The central role of prognosis in clinical decision making","volume":"307","author":"Gill","year":"2012","journal-title":"JAMA, J Am Med Assoc"},{"issue":"2","key":"10.1016\/j.radi.2024.09.048_bib12","doi-asserted-by":"crossref","DOI":"10.1053\/j.seminoncol.2010.04.001","article-title":"The importance of identifying and validating prognostic factors in oncology","volume":"37","author":"Halabi","year":"2010","journal-title":"Semin Oncol"},{"issue":"4","key":"10.1016\/j.radi.2024.09.048_bib13","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","article-title":"Radiomics: extracting more information from medical images using advanced feature analysis","volume":"48","author":"Lambin","year":"2012","journal-title":"Eur J Cancer"},{"issue":"1","key":"10.1016\/j.radi.2024.09.048_bib14","article-title":"Radiomics in radiation oncology precision medicine","volume":"5","author":"Abuhijla","year":"2017","journal-title":"Cancer Ther Oncol Int J"},{"issue":"14","key":"10.1016\/j.radi.2024.09.048_bib15","doi-asserted-by":"crossref","first-page":"5471","DOI":"10.1088\/0031-9155\/60\/14\/5471","article-title":"A\u00a0radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities","volume":"60","author":"Valli\u00e8res","year":"2015","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.radi.2024.09.048_bib16","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.radonc.2019.01.004","article-title":"CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy","volume":"135","author":"Peeken","year":"2019","journal-title":"Radiother Oncol"},{"issue":"5","key":"10.1016\/j.radi.2024.09.048_bib17","doi-asserted-by":"crossref","first-page":"804","DOI":"10.5603\/RPOR.a2021.0092","article-title":"Outcomes and computed tomography radiomic features extraction in soft tissue sarcomas treated with neoadjuvant radiation therapy","volume":"26","author":"Gonz\u00e1lez-Viguera","year":"2021","journal-title":"Rep Practical Oncol Radiother"},{"key":"10.1016\/j.radi.2024.09.048_bib18","first-page":"11","article-title":"Radiomics analysis of fat-saturated T2-weighted MRI sequences for the prediction of prognosis in soft tissue sarcoma of the extremities and trunk treated with neoadjuvant radiotherapy","author":"Chen","year":"2021","journal-title":"Front Oncol"},{"key":"10.1016\/j.radi.2024.09.048_bib19","article-title":"A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities (Soft-tissue-Sarcoma)[Dataset]","author":"Valli\u00e8res","year":"2015","journal-title":"The Cancer Imaging Archive"},{"issue":"6","key":"10.1016\/j.radi.2024.09.048_bib20","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s10278-013-9622-7","article-title":"The cancer imaging archive (TCIA): maintaining and operating a public information repository","volume":"26","author":"Clark","year":"2013","journal-title":"J\u00a0Digit Imag"},{"issue":"2","key":"10.1016\/j.radi.2024.09.048_bib21","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"},{"issue":"2","key":"10.1016\/j.radi.2024.09.048_bib22","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.adro.2019.02.003","article-title":"MRI radiomic features are independently associated with overall survival in soft tissue sarcoma","volume":"4","author":"Spraker","year":"2019","journal-title":"Adv Radiat Oncol"},{"key":"10.1016\/j.radi.2024.09.048_bib23","volume":"vol. 15","author":"Lebas","year":"2023"},{"issue":"1","key":"10.1016\/j.radi.2024.09.048_bib24","doi-asserted-by":"crossref","DOI":"10.1186\/s41747-024-00468-8","article-title":"CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency","volume":"8","author":"Bortolotto","year":"2024","journal-title":"Eur Radiol Exp"},{"issue":"11","key":"10.1016\/j.radi.2024.09.048_bib25","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1080\/0284186X.2017.1346382","article-title":"Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma","volume":"56","author":"Bogowicz","year":"2017","journal-title":"Acta Oncol (Madr)"},{"issue":"4","key":"10.1016\/j.radi.2024.09.048_bib26","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1007\/s00259-017-3865-3","article-title":"Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method","volume":"45","author":"Hatt","year":"2018","journal-title":"Eur J Nucl Med Mol Imag"},{"key":"10.1016\/j.radi.2024.09.048_bib27","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.ejmp.2019.04.009","article-title":"Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing","volume":"61","author":"Traverso","year":"2019","journal-title":"Phys Med"},{"issue":"4","key":"10.1016\/j.radi.2024.09.048_bib28","doi-asserted-by":"crossref","first-page":"430","DOI":"10.18383\/j.tom.2016.00235","article-title":"Radiomics of lung nodules: a multi-institutional study of robustness and agreement of quantitative imaging features","volume":"2","author":"Kalpathy-Cramer","year":"2016","journal-title":"Tomography"},{"key":"10.1016\/j.radi.2024.09.048_bib29","article-title":"Reproducibility of radiomics for deciphering tumor phenotype with imaging","volume":"6","author":"Zhao","year":"2016","journal-title":"Sci Rep"},{"issue":"4","key":"10.1016\/j.radi.2024.09.048_bib30","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1097\/RLI.0000000000000530","article-title":"Robustness and reproducibility of radiomics in magnetic resonance imaging: a phantom study","volume":"54","author":"Bae\u00dfler","year":"2019","journal-title":"Invest Radiol"},{"issue":"2","key":"10.1016\/j.radi.2024.09.048_bib31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/cancers13020240","article-title":"Image contrast, image pre-processing, and T1 mapping affect MRI radiomic feature repeatability in patients with colorectal cancer liver metastases","volume":"13","author":"McHugh","year":"2021","journal-title":"Cancers"},{"issue":"1","key":"10.1016\/j.radi.2024.09.048_bib32","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0169172","article-title":"Associations of radiomic data extracted from static and respiratory-gated CT scans with disease recurrence in lung cancer patients treated with SBRT","volume":"12","author":"Huynh","year":"2017","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.radi.2024.09.048_bib33","doi-asserted-by":"crossref","DOI":"10.1186\/s12880-020-0416-3","article-title":"Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging","volume":"20","author":"Sha","year":"2020","journal-title":"BMC Med Imaging"},{"issue":"12","key":"10.1016\/j.radi.2024.09.048_bib34","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0166550","article-title":"Assessing agreement between radiomic features computed for multiple CT imaging settings","volume":"11","author":"Lu","year":"2016","journal-title":"PLoS One"},{"issue":"11","key":"10.1016\/j.radi.2024.09.048_bib35","doi-asserted-by":"crossref","first-page":"6241","DOI":"10.1007\/s00330-020-06957-9","article-title":"Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform","volume":"30","author":"Fornacon-Wood","year":"2020","journal-title":"Eur Radiol"}],"container-title":["Radiography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078817424002657?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078817424002657?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T20:38:42Z","timestamp":1730493522000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1078817424002657"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":35,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["S1078817424002657"],"URL":"https:\/\/doi.org\/10.1016\/j.radi.2024.09.048","relation":{},"ISSN":["1078-8174"],"issn-type":[{"value":"1078-8174","type":"print"}],"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Morphometry-based radiomics for predicting prognosis in soft tissue sarcomas of extremities following radiotherapy","name":"articletitle","label":"Article Title"},{"value":"Radiography","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.radi.2024.09.048","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The College of Radiographers. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}