{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang C"],"funding":["National Health Commission innovative applied research project","Zhejiang Provincial Medical and Health Research Fund Project","Shaoxing City health science and technology project","the Key Laboratory of Functional Molecular Imaging of Tumor and Interventional Diagnosis and Treatment of Shaoxing city"],"pagination":["26"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11892232"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<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 featur"],"journal":["Cancer imaging : the official publication of the International Cancer Imaging Society"],"pubmed_title":["DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers."],"pmcid":["PMC11892232"],"funding_grant_id":["No. RCLX2315018","No. 2023SKY024","No. 2020ZDSYSO1","2025KY1679","2025KY1677"],"pubmed_authors":["Wang M","Yang J","Zhu F","Zhang S","Yang C","Zhao Z"],"additional_accession":[]},"is_claimable":false,"name":"DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers.","description":"<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 featur","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-04-26T02:39:47.183Z","creation":"2025-04-06T10:36:09.932Z"},"accession":"S-EPMC11892232","cross_references":{"pubmed":["40065426"],"doi":["10.1186/s40644-025-00851-7"]}}