{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T15:45:51Z","timestamp":1790696751780,"version":"4.1.0"},"reference-count":32,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","clinicalradiologyonline.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Radiology"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1016\/j.crad.2019.06.021","type":"journal-article","created":{"date-parts":[[2019,7,27]],"date-time":"2019-07-27T07:16:28Z","timestamp":1564211788000},"page":"818.e1-818.e7","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":56,"title":["Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT"],"prefix":"10.1016","volume":"74","author":[{"given":"M.M.","family":"Elmohr","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Fuentes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.A.","family":"Habra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.R.","family":"Bhosale","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.A.","family":"Qayyum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Gates","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.I.","family":"Morshid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.D.","family":"Hazle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.M.","family":"Elsayes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib1","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/s12020-011-9445-6","article-title":"The prevalence of adrenal incidentaloma in routine clinical practice","volume":"40","author":"Davenport","year":"2011","journal-title":"Endocrine"},{"issue":"4","key":"10.1016\/j.crad.2019.06.021_bib2","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1530\/eje.0.1490273","article-title":"Prevalence and natural history of adrenal incidentalomas","volume":"149","author":"Barzon","year":"2003","journal-title":"Eur J Endocrinol"},{"issue":"5","key":"10.1016\/j.crad.2019.06.021_bib3","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.2214\/AJR.07.2799","article-title":"The incidental adrenal mass on CT: prevalence of adrenal disease in 1,049 consecutive adrenal masses in patients with no known malignancy","volume":"190","author":"Song","year":"2008","journal-title":"AJR Am J Roentgenol"},{"issue":"4","key":"10.1016\/j.crad.2019.06.021_bib4","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1530\/EJE-09-0234","article-title":"Recommended evaluation of adrenal incidentalomas is costly, has high false-positive rates and confers a risk of fatal cancer that is similar to the risk of the adrenal lesion becoming malignant; time for a rethink?","volume":"161","author":"Cawood","year":"2009","journal-title":"Eur J Endocrinol"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib5","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S0889-8529(05)70122-5","article-title":"Management approaches to adrenal incidentalomas. A view from Rochester, Minnesota","volume":"29","author":"Young","year":"2000","journal-title":"Endocrinol Metab Clin N Am"},{"issue":"3","key":"10.1016\/j.crad.2019.06.021_bib6","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/0002-9343(63)90179-7","article-title":"Clinical and pathophysiologic aspects of adrenocortical carcinoma","volume":"35","author":"Lipsett","year":"1963","journal-title":"Am J Med"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib7","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0022-5347(05)64023-2","article-title":"Adrenocortical carcinoma: diagnosis, evaluation and treatment","volume":"169","author":"Ng","year":"2003","journal-title":"J Urol"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib8","first-page":"55","article-title":"Incidentally discovered adrenal tumours: endocrine and scintigraphic correlates","volume":"83","author":"Barzon","year":"1998","journal-title":"J Clin Endocrinol Metab"},{"issue":"11","key":"10.1016\/j.crad.2019.06.021_bib9","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1136\/jcp.2006.044313","article-title":"Adrenal incidentaloma: evaluation and management","volume":"61","author":"Singh","year":"2008","journal-title":"J Clin Pathol"},{"issue":"3","key":"10.1016\/j.crad.2019.06.021_bib10","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1148\/radiol.2223010766","article-title":"Adrenal masses: characterization with combined unenhanced and delayed enhanced CT","volume":"222","author":"Caoili","year":"2002","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.crad.2019.06.021_bib11","doi-asserted-by":"crossref","first-page":"W706","DOI":"10.2214\/AJR.10.5540","article-title":"Adrenocortical carcinoma: the range of appearances on CT and MRI","volume":"196","author":"Bharwani","year":"2011","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"10.1016\/j.crad.2019.06.021_bib12","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1148\/radiol.2382041514","article-title":"Distinguishing benign from malignant adrenal masses: multi-detector row CT protocol with 10-minute delay","volume":"238","author":"Blake","year":"2006","journal-title":"Radiology"},{"issue":"Suppl. 1","key":"10.1016\/j.crad.2019.06.021_bib13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4158\/EP.15.S1.1","article-title":"The American association of clinical endocrinologists and American association of endocrine surgeons medical guidelines for the management of adrenal incidentalomas","volume":"15","author":"Zeiger","year":"2009","journal-title":"Endocr Pract"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib14","doi-asserted-by":"crossref","first-page":"201","DOI":"10.2214\/ajr.171.1.9648789","article-title":"Characterization of adrenal masses using unenhanced CT: an analysis of the CT literature","volume":"171","author":"Boland","year":"1998","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.crad.2019.06.021_bib15","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.ejmp.2017.05.071","article-title":"Beyond imaging: the promise of radiomics","volume":"38","author":"Avanzo","year":"2017","journal-title":"Phys Med"},{"key":"10.1016\/j.crad.2019.06.021_bib16","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1148\/radiol.12112428","article-title":"Non-small cell lung cancer: histopathologic correlates for texture parameters at CT","volume":"266","author":"Ganeshan","year":"2013","journal-title":"Radiology"},{"key":"10.1016\/j.crad.2019.06.021_bib17","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1097\/RLI.0b013e3181f8e8a2","article-title":"Dynamic contrast-enhanced texture analysis of the liver: initial assessment in colorectal cancer","volume":"46","author":"Ganeshan","year":"2011","journal-title":"Invest Radiol"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib18","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s12880-017-0209-5","article-title":"CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma \u2014 a quantitative analysis","volume":"17","author":"Eilaghi","year":"2017","journal-title":"BMC Med Imaging"},{"issue":"5","key":"10.1016\/j.crad.2019.06.021_bib19","doi-asserted-by":"crossref","first-page":"271","DOI":"10.3109\/03091902.2012.682638","article-title":"A region-based segmentation of tumour from brain CT images using nonlinear support vector machine classifier","volume":"36","author":"Nanthagopal","year":"2012","journal-title":"J Med Eng Technol"},{"key":"10.1016\/j.crad.2019.06.021_bib20","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1148\/radiol.2015142215","article-title":"Can quantitative CT texture analysis be used to differentiate fat-poor renal angiomyolipoma from renal cell carcinoma on unenhanced CT images?","volume":"276","author":"Hodgdon","year":"2015","journal-title":"Radiology"},{"issue":"11","key":"10.1016\/j.crad.2019.06.021_bib21","doi-asserted-by":"crossref","first-page":"3101","DOI":"10.1007\/s00261-018-1603-3","article-title":"Interobserver agreement in distinguishing large adrenal adenomas and adrenocortical carcinomas on computed tomography","volume":"43","author":"Thomas","year":"2018","journal-title":"Abdom Radiol"},{"issue":"3","key":"10.1016\/j.crad.2019.06.021_bib22","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","article-title":"User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability","volume":"31","author":"Yushkevich","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.crad.2019.06.021_bib23","author":"ThermoFischer Scientific"},{"issue":"21","key":"10.1016\/j.crad.2019.06.021_bib24","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"van Griethuysen","year":"2017","journal-title":"Cancer Res"},{"issue":"6","key":"10.1016\/j.crad.2019.06.021_bib25","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","volume":"SMC-3","author":"Haralick","year":"1973","journal-title":"IEEE Trans Syst Man Cybernet"},{"issue":"Suppl. 1","key":"10.1016\/j.crad.2019.06.021_bib26","article-title":"IBSI: an international community radiomics standardization initiative","volume":"59","author":"Hatt","year":"2018","journal-title":"J Nucl Med"},{"key":"10.1016\/j.crad.2019.06.021_bib27","author":"RStudio"},{"key":"10.1016\/j.crad.2019.06.021_bib28","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ijmedinf.2018.05.006","article-title":"Comparison of variable selection methods for clinical predictive modeling","volume":"116","author":"Sanchez-Pinto","year":"2018","journal-title":"Int J Med Inform"},{"issue":"11","key":"10.1016\/j.crad.2019.06.021_bib29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v036.i11","article-title":"Feature selection with the Boruta package","volume":"36","author":"Kursa","year":"2010","journal-title":"J Stat Softw"},{"issue":"6","key":"10.1016\/j.crad.2019.06.021_bib30","first-page":"9","article-title":"A comparison of grey-level run length matrix and grey-level co-occurrence matrix towards cereal grain classification","volume":"7","author":"Singh","year":"2016","journal-title":"Int J Comp Eng Technol (IJCET)"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib31","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1148\/radiol.12120254","article-title":"Assessment of primary colorectal cancer heterogeneity by using whole-tumour texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival","volume":"266","author":"Ng","year":"2013","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.crad.2019.06.021_bib32","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1002\/jmri.25954","article-title":"Characterization of adrenal lesions on unenhanced MRI using texture analysis: a machine-learning approach","volume":"48","author":"Romeo","year":"2018","journal-title":"J Magn Reson Imaging"}],"container-title":["Clinical Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926019303162?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926019303162?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T16:39:49Z","timestamp":1757867989000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009926019303162"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":32,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["S0009926019303162"],"URL":"https:\/\/doi.org\/10.1016\/j.crad.2019.06.021","relation":{},"ISSN":["0009-9260"],"issn-type":[{"value":"0009-9260","type":"print"}],"subject":[],"published":{"date-parts":[[2019,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT","name":"articletitle","label":"Article Title"},{"value":"Clinical Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crad.2019.06.021","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Published by Elsevier Ltd on behalf of The Royal College of Radiologists.","name":"copyright","label":"Copyright"}]}}