<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim TH</submitter><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><pagination>3717-3728</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9358967</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>46(8)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>Six studies (393 patients, 534 lesions) were included. Pooled sensitivity was 0.56 (95% confidence inte</pubmed_abstract><journal>Abdominal radiology (New York)</journal><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.</pubmed_title><pmcid>PMC9358967</pmcid><funding_grant_id>Cancer Center Support Grant P30 CA008748</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><pubmed_authors>Kim TH</pubmed_authors><pubmed_authors>Burke LMB</pubmed_authors><pubmed_authors>Mendiratta-Lala M</pubmed_authors><pubmed_authors>Woo S</pubmed_authors><pubmed_authors>Joo I</pubmed_authors><pubmed_authors>Park MS</pubmed_authors><pubmed_authors>Do RKG</pubmed_authors><pubmed_authors>Bashir MR</pubmed_authors></additional><is_claimable>false</is_claimable><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.</name><description>&lt;h4>Purpose&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>Six studies (393 patients, 534 lesions) were included. Pooled sensitivity was 0.56 (95% confidence inte</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Aug</publication><modification>2025-04-04T10:44:42.463Z</modification><creation>2025-04-04T10:44:42.463Z</creation></dates><accession>S-EPMC9358967</accession><cross_references><pubmed>34027566</pubmed><doi>10.1007/s00261-021-03122-8</doi></cross_references></HashMap>