{"doi":"10.1002/mrm.70019","title":"Dynamic contrast enhanced‐magnetic resonance fingerprinting (<scp>DCE</scp>‐<scp>MRF</scp>): A new quantitative <scp>MRI</scp> method to reliably assess tumor vascular perfusion","abstract":"Abstract Purpose The clinical utility of conventional DCE‐MRI methods is limited by the use of conventional qualitative dynamic T 1 ‐weighted images, resulting in poor reproducibility. This study presents the initial implementation of a new DCE‐magnetic resonance fingerprinting (DCE‐MRF) methodology to provide reproducible, quantitative assessments of tumor vascular perfusion. Methods The DCE‐MRF acquisition combines multiple T 1 preparations, highly undersampled spiral trajectories ( R = 48), a low‐rank reconstruction method, and low tip angles on a 9.4 T preclinical MRI scanner to rapidly generate dynamic T 1 maps (23‐s temporal resolution). In vitro validation experiments were conducted across a range of Gadovist concentrations to assess accuracy and temporal precision in comparison to conventional methods. The DCE‐MRF method was also evaluated in vivo in an orthotopic 4T1 mouse model of breast cancer ( n = 25). Pharmacokinetic modeling of the in vivo data was performed using a linear reference region model (LRRM). Results In vitro DCE‐MRF studies demonstrated good agreement with conventional MRI methods for T 1 measurements ( R 2 0.99). The iterative low‐rank reconstruction method also reduced artifacts compared to conventional reconstruction methods. DCE‐MRF demonstrated a 2‐ to 3‐fold reduction in temporal variability compared to conventional DCE‐MRI, and enabled effective in vivo pharmacokinetic modeling using the LRRM by generating voxelwise maps of RK trans and k ep,T as measures of tumor vascular perfusion. Conclusions DCE‐MRF represents a new inherently quantitative approach to measuring tumor vascular perfusion that can be used in animal models and eventually in patients.","journal":"Magnetic Resonance in Medicine","year":2025,"id":524146,"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":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9544,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":928547,"name":"Yuran Zhu","orcid":"0000-0003-2829-7451","position":1,"is_corresponding":false},{"id":800012,"name":"Guanhua Wang","orcid":"0000-0002-1622-5664","position":2,"is_corresponding":false},{"id":446182,"name":"Bernadette O. Erokwu","orcid":null,"position":3,"is_corresponding":false},{"id":1397031,"name":"Chetan Dhakan","orcid":"0000-0003-1218-0320","position":4,"is_corresponding":false},{"id":741033,"name":"Andrew Dupuis","orcid":"0000-0002-3714-4812","position":5,"is_corresponding":false},{"id":362843,"name":"Barbara J. Schiemann","orcid":null,"position":6,"is_corresponding":false},{"id":1397650,"name":"Michael Kavran","orcid":null,"position":7,"is_corresponding":false},{"id":1397032,"name":"Chunying Wu","orcid":"0000-0002-6782-2610","position":8,"is_corresponding":false},{"id":266231,"name":"William P. Schiemann","orcid":"0000-0002-0338-2636","position":9,"is_corresponding":false},{"id":354255,"name":"Mark A. Griswold","orcid":"0000-0002-3011-6747","position":10,"is_corresponding":false},{"id":379451,"name":"Xin Yu","orcid":"0000-0001-8996-0267","position":11,"is_corresponding":false},{"id":406208,"name":"Mark D. Pagel","orcid":"0000-0002-8109-3995","position":12,"is_corresponding":false},{"id":326253,"name":"Chris A. Flask","orcid":"0000-0002-1066-333X","position":13,"is_corresponding":false},{"id":444952,"name":"Christina J. MacAskill","orcid":"0000-0003-0023-0044","position":0,"is_corresponding":true}],"reference_count":46,"raw_metadata":null,"created_at":"2026-07-19T02:50:07.396155Z","pmid":"40808280","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":[]}