{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kim TH"],"funding":["NCI NIH HHS","National Institutes of Health","NIH HHS"],"pagination":["3717-3728"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9358967"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["46(8)"],"pubmed_abstract":["<h4>Purpose</h4>To perform a systematic review and meta-analysis using individual patient data to investigate the diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS) Treatment Response (TR) algorithm for detecting incomplete necrosis on pathology.<h4>Methods</h4>PubMed and EMBASE were searched from Jan 1, 2017 until October 14, 2020. Studies reporting diagnostic accuracy of LI-RADS TR algorithm on CT or MRI for detecting incomplete necrosis on pathology as a reference standard were included. Sensitivity and specificity were pooled using random-effects model. Subgroup analyses were performed for locoregional treatment (LRT) type and imaging modality.<h4>Results</h4>Six studies (393 patients, 534 lesions) were included. Pooled sensitivity was 0.56 (95% confidence inte"],"journal":["Abdominal radiology (New York)"],"pubmed_title":["LI-RADS treatment response algorithm for detecting incomplete necrosis in hepatocellular carcinoma after locoregional treatment: a systematic review and meta-analysis using individual patient data."],"pmcid":["PMC9358967"],"funding_grant_id":["Cancer Center Support Grant P30 CA008748","P30 CA008748"],"pubmed_authors":["Kim TH","Burke LMB","Mendiratta-Lala M","Woo S","Joo I","Park MS","Do RKG","Bashir MR"],"additional_accession":[]},"is_claimable":false,"name":"LI-RADS treatment response algorithm for detecting incomplete necrosis in hepatocellular carcinoma after locoregional treatment: a systematic review and meta-analysis using individual patient data.","description":"<h4>Purpose</h4>To perform a systematic review and meta-analysis using individual patient data to investigate the diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS) Treatment Response (TR) algorithm for detecting incomplete necrosis on pathology.<h4>Methods</h4>PubMed and EMBASE were searched from Jan 1, 2017 until October 14, 2020. Studies reporting diagnostic accuracy of LI-RADS TR algorithm on CT or MRI for detecting incomplete necrosis on pathology as a reference standard were included. Sensitivity and specificity were pooled using random-effects model. Subgroup analyses were performed for locoregional treatment (LRT) type and imaging modality.<h4>Results</h4>Six studies (393 patients, 534 lesions) were included. Pooled sensitivity was 0.56 (95% confidence inte","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Aug","modification":"2025-04-04T10:44:42.463Z","creation":"2025-04-04T10:44:42.463Z"},"accession":"S-EPMC9358967","cross_references":{"pubmed":["34027566"],"doi":["10.1007/s00261-021-03122-8"]}}