{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T06:24:48Z","timestamp":1787207088919,"version":"build-2736575974"},"reference-count":39,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82471966"],"award-info":[{"award-number":["82471966"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20241776"],"award-info":[{"award-number":["BK20241776"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Chronic kidney disease (CKD) is a major health burden. Intrarenal microcirculation impairment occurs early in CKD and precedes measurable declines in renal function. We investigated whether contrast\u2010free multiparametric MRI (mp\u2010MRI) can characterize intrarenal microcirculation alterations and improve early CKD detection. This retrospective study included 54 patients with pathology\u2010confirmed CKD (25 mild and 29 moderate\u2013severe by the Katafuchi system) and 20 age\u2010 and sex\u2010matched healthy controls (HCs) enrolled between March 2020 and August 2022. All participants underwent an mp\u2010MRI protocol comprising arterial spin labeling (ASL), intravoxel incoherent motion imaging (IVIM), blood oxygen level\u2010dependent (BOLD) imaging, and quantitative susceptibility mapping (QSM). Renal biopsy served as the reference standard, with estimated glomerular filtration rate and serum creatinine as clinical comparators. Group differences in MRI metrics were assessed, correlations with histopathology were evaluated, and multivariable logistic regression models were constructed to distinguish CKD (and mild CKD) from healthy controls. Renal blood flow, diffusion and microperfusion metrics (D, D*, f), BOLD\u2010derived R2*, and susceptibility values differed significantly across groups, and each MRI parameter and clinical biomarker correlated with histopathological severity (|\n                    <jats:italic>r<\/jats:italic>\n                    |\u2009=\u20090.33\u20130.97). A mp\u2010MRI model integrating RBF\n                    <jats:sub>Cortex<\/jats:sub>\n                    , D*\n                    <jats:sub>Cortex<\/jats:sub>\n                    , f\n                    <jats:sub>Cortex<\/jats:sub>\n                    , and R2*\n                    <jats:sub>Cortex<\/jats:sub>\n                    achieved excellent discrimination for CKD versus HCs (AUC\u2009=\u20090.976; 95% confidence interval [CI]: 0.949\u20131.000;\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001) and for mild CKD versus HCs (AUC\u2009=\u20090.948; 95% CI: 0.891\u20131.000;\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001). These findings support a pathophysiology\u2010driven, contrast\u2010free mp\u2010MRI framework for noninvasive assessment of renal microcirculation and early CKD detection.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70358","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T06:36:02Z","timestamp":1784615762000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiparametric MRI for Early Chronic Kidney Disease Detection: Insights Into Renal Microcirculation"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0931-6488","authenticated-orcid":false,"given":"Tingting","family":"Zha","sequence":"first","affiliation":[{"name":"Department of Radiology Third Affiliated Hospital of Soochow University  Changzhou Jiangsu China"},{"name":"Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center  Changzhou Jiangsu 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