{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T10:07:38Z","timestamp":1785406058442,"version":"3.56.0"},"reference-count":36,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinical-genitourinary-cancer.com","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Genitourinary Cancer"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.clgc.2026.102613","type":"journal-article","created":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T23:28:28Z","timestamp":1783639708000},"page":"102613","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multidistance Peritumoral Radiomics With Intratumoral Radiomics Integration Nomogram for Differentiating Fat-Poor Angiomyolipoma From Clear Cell Renal Cell Carcinoma in Discordant and Indeterminate Cases"],"prefix":"10.1016","volume":"24","author":[{"given":"Yue","family":"Xiao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xupeng","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huchao","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runfei","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoying","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rendang","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoquan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.clgc.2026.102613_bib0001","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1148\/radiol.2473070785","article-title":"Pixel distribution analysis: can it be used to distinguish clear cell carcinomas from angiomyolipomas with minimal fat?","volume":"247","author":"Catalano","year":"2008","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0002","doi-asserted-by":"crossref","first-page":"417","DOI":"10.12998\/wjcc.v11.i2.417","article-title":"Fat-poor renal angiomyolipoma with prominent cystic degeneration: a case report and review of the literature","volume":"11","author":"Lu","year":"2023","journal-title":"World J Clin Cases"},{"issue":"6","key":"10.1016\/j.clgc.2026.102613_bib0003","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1148\/rg.306105517","article-title":"Mesenchymal neoplasms of the kidney in adults: imaging spectrum with radiologic-pathologic correlation","volume":"30","author":"Katabathina","year":"2010","journal-title":"Radiographics"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0004","doi-asserted-by":"crossref","first-page":"438","DOI":"10.2214\/AJR.08.1180","article-title":"Angiomyolipoma with minimal fat on MDCT: can counts of negative-attenuation pixels aid diagnosis?","volume":"192","author":"Simpfendorfer","year":"2009","journal-title":"Am J Roentgenol."},{"issue":"1","key":"10.1016\/j.clgc.2026.102613_bib0005","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1148\/radiol.2391050102","article-title":"Renal angiomyolipoma with minimal fat: differentiation trom other neoplasms at double-echo chemical shift FLASH MR imaging","volume":"239","author":"Kim","year":"2006","journal-title":"Radiology"},{"issue":"8","key":"10.1016\/j.clgc.2026.102613_bib0006","doi-asserted-by":"crossref","first-page":"3996","DOI":"10.1007\/s00330-018-5872-6","article-title":"Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective","volume":"29","author":"Li","year":"2019","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0007","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1148\/radiol.2017160343","article-title":"Advanced renal cell carcinoma: role of the radiologist in the era of precision medicine","volume":"284","author":"Shinagare","year":"2017","journal-title":"Radiology"},{"issue":"1084","key":"10.1016\/j.clgc.2026.102613_bib0008","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1259\/bjr.20170533","article-title":"The different faces of renal angiomyolipomas on radiologic imaging: a pictorial review","volume":"91","author":"Thiravit","year":"2018","journal-title":"Br J Radiol"},{"issue":"3","key":"10.1016\/j.clgc.2026.102613_bib0009","doi-asserted-by":"crossref","DOI":"10.2214\/AJR.17.19079","article-title":"Radiologic classification and imaging features of renal angiomyolipomas according to the amount of fat","volume":"210","author":"Sureka","year":"2018","journal-title":"Am J Roentgenol."},{"issue":"5","key":"10.1016\/j.clgc.2026.102613_bib0010","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.crad.2005.12.013","article-title":"Diagnosis of angiomyolipoma using computed tomography-region of interest &lt;-10 HU or 4 adjacent pixels \u2264-10 HU are recommended as the diagnostic thresholds","volume":"61","author":"Simpson","year":"2006","journal-title":"Clin Radiol"},{"issue":"5","key":"10.1016\/j.clgc.2026.102613_bib0011","article-title":"A noninvasive comprehensive model based on medium sample size had good diagnostic performance in distinguishing renal fat-poor angiomyolipoma from homogeneous clear cell renal cell carcinoma","volume":"43","author":"Wei","year":"2025","journal-title":"Urol Oncol-Semin"},{"issue":"5","key":"10.1016\/j.clgc.2026.102613_bib0012","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1097\/MOU.0000000000000314","article-title":"Novel imaging in renal cell carcinoma","volume":"26","author":"Krajewski","year":"2016","journal-title":"Curr Opin Urol"},{"issue":"6","key":"10.1016\/j.clgc.2026.102613_bib0013","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.2214\/AJR.14.14183","article-title":"Small (&lt; 4 cm) renal masses: differentiation of angiomyolipoma without visible fat from renal cell carcinoma using unenhanced and contrast-enhanced CT","volume":"205","author":"Takahashi","year":"2015","journal-title":"Am J Roentgenol"},{"issue":"8","key":"10.1016\/j.clgc.2026.102613_bib0014","doi-asserted-by":"crossref","first-page":"2500","DOI":"10.1007\/s00261-020-02414-9","article-title":"Can whole-tumor radiomics-based CT analysis better differentiate fat-poor angiomyolipoma from clear cell renal cell carcinoma: compared with conventional CT analysis?","volume":"45","author":"Ma","year":"2020","journal-title":"Abdom Radiol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0015","doi-asserted-by":"crossref","first-page":"370","DOI":"10.2214\/AJR.19.21625","article-title":"Quantitative analysis of multiphase contrast-enhanced CT images: a pilot study of preoperative prediction of fat-poor angiomyolipoma and renal cell carcinoma","volume":"214","author":"Tang","year":"2020","journal-title":"Am J Roentgenol"},{"issue":"5","key":"10.1016\/j.clgc.2026.102613_bib0016","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.acra.2018.06.015","article-title":"Whole-tumor quantitative apparent diffusion coefficient histogram and texture analysis to differentiation of minimal fat angiomyolipoma from clear cell renal cell carcinoma","volume":"26","author":"Li","year":"2019","journal-title":"Acad Radiol"},{"issue":"4","key":"10.1016\/j.clgc.2026.102613_bib0017","doi-asserted-by":"crossref","first-page":"826","DOI":"10.2214\/AJR.17.17973","article-title":"Renal angiomyolipoma: radiologic classification and imaging features according to the amount of fat","volume":"209","author":"Park","year":"2017","journal-title":"Am J Roentgenol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0018","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s00261-014-0221-y","article-title":"Triphasic and epithelioid minimal fat renal angiomyolipoma and clear cell renal cell carcinoma: qualitative and quantitative CEUS characteristics and distinguishing features","volume":"40","author":"Lu","year":"2015","journal-title":"Abdom Imaging"},{"issue":"11","key":"10.1016\/j.clgc.2026.102613_bib0019","doi-asserted-by":"crossref","first-page":"1896","DOI":"10.1016\/j.ultrasmedbio.2012.07.014","article-title":"Minimal fat renal angiomyolipoma: the initial study with contrast-enhanced ultrasonography","volume":"38","author":"Lu","year":"2012","journal-title":"Ultrasound Med Biol"},{"issue":"5","key":"10.1016\/j.clgc.2026.102613_bib0020","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1007\/s00330-017-5141-0","article-title":"Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis","volume":"28","author":"Chen","year":"2018","journal-title":"Eur Radiol"},{"issue":"6","key":"10.1016\/j.clgc.2026.102613_bib0021","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.2214\/AJR.14.12630","article-title":"Unenhanced CT for the diagnosis of minimal-fat renal angiomyolipoma","volume":"203","author":"Schieda","year":"2014","journal-title":"Am J Roentgenol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0022","doi-asserted-by":"crossref","first-page":"377","DOI":"10.2214\/AJR.11.6887","article-title":"Histogram analysis of small solid renal masses: differentiating minimal fat angiomyolipoma from renal cell carcinoma","volume":"198","author":"Chaudhry","year":"2012","journal-title":"Am J Roentgenol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0023","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1007\/s00330-019-06427-x","article-title":"A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma","volume":"30","author":"Nie","year":"2020","journal-title":"Eur Radiol"},{"issue":"7","key":"10.1016\/j.clgc.2026.102613_bib0024","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0287299","article-title":"CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: systematic review and meta-analysis","volume":"18","author":"Dehghani Firouzabadi","year":"2023","journal-title":"PLoS One"},{"key":"10.1016\/j.clgc.2026.102613_bib0025","series-title":"Advanced Clinical MRI of the Kidney","article-title":"The Role of Artificial Intelligence in Automated Data Analysis of the Kidney","author":"Gregory","year":"2023"},{"issue":"1","key":"10.1016\/j.clgc.2026.102613_bib0026","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1148\/radiol.12111205","article-title":"Small (&lt;4 cm) renal mass: differentiation of angiomyolipoma without visible fat from renal cell carcinoma utilizing MR imaging","volume":"263","author":"Sasiwimonphan","year":"2012","journal-title":"Radiology"},{"issue":"7467","key":"10.1016\/j.clgc.2026.102613_bib0027","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1038\/nature12627","article-title":"Tumour heterogeneity in the clinic","volume":"501","author":"Bedard","year":"2013","journal-title":"Nature"},{"issue":"Suppl 10","key":"10.1016\/j.clgc.2026.102613_bib0028","first-page":"521","article-title":"Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI","volume":"19","author":"Braman","year":"2017","journal-title":"Breast Cancer Res: BCR"},{"issue":"1","key":"10.1016\/j.clgc.2026.102613_bib0029","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.acra.2024.07.026","article-title":"Enhanced CT-based intratumoral and peritumoral radiomics nomograms predict high-grade patterns of invasive lung adenocarcinoma","volume":"32","author":"Xu","year":"2025","journal-title":"Acad Radiol"},{"issue":"2","key":"10.1016\/j.clgc.2026.102613_bib0030","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s11831-023-09995-w","article-title":"Deep learning approaches applied to image classification of renal tumors: a systematic review","volume":"31","author":"Amador","year":"2024","journal-title":"Arch Comput Methods Eng"},{"key":"10.1016\/j.clgc.2026.102613_bib0031","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ejmp.2020.10.029","article-title":"Impact of quantization algorithm and number of gray level intensities on variability and repeatability of low field strength magnetic resonance image-based radiomics texture features","volume":"80","author":"Simpson","year":"2020","journal-title":"Phys Med"},{"key":"10.1016\/j.clgc.2026.102613_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.tranon.2024.101891","article-title":"Distinct leukocyte populations and cytokine secretion profiles define tumoral and peritumoral areas in renal cell carcinoma","volume":"42","author":"Borcinova","year":"2024","journal-title":"Transl Oncol"},{"key":"10.1016\/j.clgc.2026.102613_bib0033","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.2147\/CMAR.S297094","article-title":"A CT-based tumoral and mini-peritumoral radiomics approach: differentiate fat-poor angiomyolipoma from clear cell renal cell carcinoma","author":"Ma","year":"2021","journal-title":"Cancer Manag Res"},{"issue":"1","key":"10.1016\/j.clgc.2026.102613_bib0034","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1186\/s40644-024-00775-8","article-title":"CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions","volume":"24","author":"Yu","year":"2024","journal-title":"Cancer Imaging"},{"issue":"1","key":"10.1016\/j.clgc.2026.102613_bib0035","article-title":"Exploring the predictive value of grading in regions beyond peritumoral edema in Gliomas based on radiomics","volume":"21","author":"Pan","year":"2025","journal-title":"Curr Med Imaging"},{"issue":"4","key":"10.1016\/j.clgc.2026.102613_bib0036","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1016\/j.acra.2023.09.007","article-title":"MRI-based multiregional radiomics for pretreatment prediction of distant metastasis after neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer","volume":"31","author":"Zhao","year":"2024","journal-title":"Acad Radiol"}],"container-title":["Clinical Genitourinary Cancer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1558767326001138?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1558767326001138?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:56:21Z","timestamp":1785405381000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1558767326001138"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":36,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["S1558767326001138"],"URL":"https:\/\/doi.org\/10.1016\/j.clgc.2026.102613","relation":{},"ISSN":["1558-7673"],"issn-type":[{"value":"1558-7673","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multidistance Peritumoral Radiomics With Intratumoral Radiomics Integration Nomogram for Differentiating Fat-Poor Angiomyolipoma From Clear Cell Renal Cell Carcinoma in Discordant and Indeterminate Cases","name":"articletitle","label":"Article Title"},{"value":"Clinical Genitourinary Cancer","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.clgc.2026.102613","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102613"}}