biostudies-literatureYang CNational Health Commission innovative applied research projectZhejiang Provincial Medical and Health Research Fund ProjectShaoxing City health science and technology projectthe Key Laboratory of Functional Molecular Imaging of Tumor and Interventional Diagnosis and Treatment of Shaoxing city26https://www.ebi.ac.uk/biostudies/studies/S-EPMC11892232biostudies-literatureUnknown25(1)<h4>Objectives</h4>To evaluate the feasibility and value of dynamic contrast-enhanced MRI (DCE-MRI) quantitative analysis and MRI-based radiomics in predicting the efficacy of microwave ablation (MWA) in lung cancers (LCs).<h4>Methods</h4>Forty-three patients with LCs who underwent DCE-MRI within 24 h of receiving MWA were enrolled in the study and divided into two groups according to the modified response evaluation criteria in solid tumors (m-RECIST) criteria: the effective treatment (complete response + partial response + stable disease, n = 28) and the ineffective treatment (progressive disease, n = 15). DCE-MRI datasets were processed by Omni. Kinetics software, using the extended tofts model (ETM) and exchange model (ECM) to yield pharmacokinetic parameters and their histogram featurCancer imaging : the official publication of the International Cancer Imaging SocietyDCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers.PMC11892232No. RCLX2315018No. 2023SKY024No. 2020ZDSYSO12025KY16792025KY1677Wang MYang JZhu FZhang SYang CZhao ZfalseDCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers.<h4>Objectives</h4>To evaluate the feasibility and value of dynamic contrast-enhanced MRI (DCE-MRI) quantitative analysis and MRI-based radiomics in predicting the efficacy of microwave ablation (MWA) in lung cancers (LCs).<h4>Methods</h4>Forty-three patients with LCs who underwent DCE-MRI within 24 h of receiving MWA were enrolled in the study and divided into two groups according to the modified response evaluation criteria in solid tumors (m-RECIST) criteria: the effective treatment (complete response + partial response + stable disease, n = 28) and the ineffective treatment (progressive disease, n = 15). DCE-MRI datasets were processed by Omni. Kinetics software, using the extended tofts model (ETM) and exchange model (ECM) to yield pharmacokinetic parameters and their histogram featur2025-01-01T00:00:00Z2025 Mar2025-04-26T02:39:47.183Z2025-04-06T10:36:09.932ZS-EPMC118922324006542610.1186/s40644-025-00851-7