{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T01:45:06Z","timestamp":1792028706989,"version":"4.4.0"},"reference-count":50,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:00:00Z","timestamp":1768348800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:00:00Z","timestamp":1768348800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100024596","name":"Bayer Diabetes Care","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100024596","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["TL1TR004420"],"award-info":[{"award-number":["TL1TR004420"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2026,4]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Patients with solid renal masses (SRMs) are at risk of chronic kidney disease (CKD) after surgical resection without a reliable pre\u2010operative predictor.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To investigate whether pre\u2010operative multiparametric MRI (mpMRI) can predict CKD development and progression to stage 3 CKD.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Prospective.<\/jats:p>\n <\/jats:sec>\n \n Population<\/jats:title>\n Forty\u2010three participants (female\u2009=\u200913, mean age: 59\u2009\u00b1\u200912\u2009years) undergoing nephrectomy for SRM.<\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n \n 1.5\u2009T, diffusion\u2010weighted echo\u2010planar imaging (DWI) using nine\n b<\/jats:italic>\n \u2010values (0\u2013800\u2009s\/mm\n 2<\/jats:sup>\n ), T\n 1<\/jats:sub>\n \u2010mapping using variable flip angle, multi\u2010echo gradient\u2010echo blood\u2010oxygen\u2010level\u2010dependent (BOLD), and dynamic\u2010contrast\u2010enhanced MRI (DCE\u2010MRI) using 3D T\n 1<\/jats:sub>\n \u2010weighted gradient\u2010echo.\n <\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n \n A clinical CKD risk score was calculated from estimated glomerular filtration rate (eGFR), age, diabetes, and surgery (partial or radical nephrectomy). mpMRI parameters included cortical and medullary apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM), tri\u2010exponential diffusion (fast, medium, and slow), and spectral diffusion (vascular, tubule, and tissue) from DWI, native T\n 1<\/jats:sub>\n from T\n 1<\/jats:sub>\n \u2010mapping, R\n 2<\/jats:sub>\n * from BOLD, and renal plasma flow and eGFR from DCE\u2010MRI. Outcomes were a correlation with baseline eGFR, prediction of postoperative 12\u2010month eGFR decline >\u20095\u2009mL\/min\/1.73\u2009m\n 2<\/jats:sup>\n , and stage 3 CKD development (eGFR\u2009<\u200960\u2009mL\/min\/1.73\u2009m\n 2<\/jats:sup>\n ).\n <\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Mann\u2013Whitney\n U<\/jats:italic>\n \u2010test and Spearman's rank correlation coefficient (\n r<\/jats:italic>\n ). Diagnostic ability was determined by leave\u2010one\u2010out cross\u2010validated logistic regression area\u2010under\u2010the\u2010receiver\u2010operator\u2010curve (AUC) and diagnostic odds ratio (DOR) with\n p<\/jats:italic>\n \u2010value <\u20090.05 considered significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Thirty of 43 (67%) participants had normal baseline renal function (eGFR\u2009\u2265\u200960\u2009mL\/min\/1.73\u2009m\n 2<\/jats:sup>\n ). Twenty\u2010nine participants completed 12\u2010month follow\u2010up: among 66% (19\/29) who had baseline normal eGFR, 37% (7\/19) developed stage 3 CKD. eGFR from DCE\u2010MRI and tubule diffusion correlated with baseline eGFR ( = 0.43 and 0.33 respectively). Reduced vascular diffusion predicted eGFR decline (AUC\u2009=\u20090.75\u20130.83, DOR\u2009=\u20096.8\u201316.5). A larger contralateral ADC corticomedullary difference (AUC\u2009=\u20090.89; DOR\u2009=\u200922.5), and clinical CKD risk score (AUC\u2009=\u20090.81; DOR\u2009=\u20095.5) were the strongest predictors of CKD development.\n <\/jats:p>\n <\/jats:sec>\n \n Data Conclusion<\/jats:title>\n Pre\u2010operative mpMRI predicted post\u2010nephrectomy CKD development. A larger corticomedullary difference in ADC may indicate reduced functional reserve.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 1.<\/jats:p>\n <\/jats:sec>\n \n Technical Efficacy<\/jats:title>\n Stage 2.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70213","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T15:38:21Z","timestamp":1768405101000},"page":"1025-1039","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multiparametric\n MRI<\/scp>\n for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study"],"prefix":"10.1002","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8729-9302","authenticated-orcid":false,"given":"Mira M.","family":"Liu","sequence":"first","affiliation":[{"name":"BioMedical Engineering and Imaging Institute Icahn School of Medicine at 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