{"doi":"10.1002/mrm.29477","title":"Noninvasively differentiating acute and chronic nephropathies via multiparametric <scp>urea‐CEST</scp>, nuclear Overhauser enhancement<scp>‐CEST</scp>, and quantitative magnetization transfer MRI","abstract":"Purpose Standardized blood tests often lack adequate sensitivity and specificity to capture the gradual progression of renal injuries. We suggest a multiparametric molecular MRI approach as a noninvasive tool for monitoring renal function loss and distinguishing different types of renal injuries. Methods CEST and quantitative magnetization transfer (qMT) imaging were performed on cisplatin ( n = 16) and aristolochic acid (AA)‐induced nephropathy ( n = 22) mouse models at 7T with an infusion of either saline or urea. Seven‐pool Lorentzian fitting was applied for the analysis of CEST Z‐spectra, and the T 1 ‐corrected CEST contrast apparent exchange‐dependent relaxation (AREX) from urea (+1 ppm) and two nuclear Overhauser enhancement (NOE) pools (−1.6 and −3.5 ppm) were measured. Similarly, qMT spectra were fitted into two‐pool Ramani equation and the relative semi‐solid macromolecular pool‐size ratio was measured. Histology of mouse kidneys was performed to validate the MR findings. Results AA model showed disrupted spatial gradients of urea in the kidney and significantly decreased NOE CEST and qMT contrast. The cisplatin model showed slightly decreased qMT contrast only. The orrelation of MR parameters to histological features showed that NOE CEST and qMT imaging are sensitive to both acute and chronic injuries, whereas urea CEST shows a significant correlation only to acute injuries. Conclusion These results indicate that our multiparametric approach allows comprehensive and totally noninvasive monitoring of renal function and histological changes for distinguishing different nephropathies.","journal":"Magnetic Resonance in Medicine","year":2022,"id":277089,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9644,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":795511,"name":"Michael F. Wendland","orcid":null,"position":1,"is_corresponding":false},{"id":779147,"name":"Jingshen Wang","orcid":"0000-0002-1432-3834","position":2,"is_corresponding":false},{"id":779736,"name":"Mark Velasquez","orcid":null,"position":3,"is_corresponding":false},{"id":487307,"name":"Moriel Vandsburger","orcid":"0000-0003-4052-205X","position":4,"is_corresponding":false},{"id":794956,"name":"Soo Hyun Shin","orcid":"0000-0003-1875-2908","position":0,"is_corresponding":true}],"reference_count":76,"raw_metadata":null,"created_at":"2026-07-19T00:28:34.768552Z","pmid":"36226662","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}