{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T16:57:23Z","timestamp":1791565043803,"version":"4.3.4"},"reference-count":25,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technol Cancer Res Treat"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Pretreatment prediction of benefit from targeted therapy plus immunotherapy remains uncertain in unresectable hepatocellular carcinoma (HCC). We developed and internally validated a model integrating baseline 18F-FDG PET\/CT radiomics with clinical indicators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This single-center retrospective study included 325 patients, comprising a development cohort (n = 182) and an internal validation cohort (n = 143). Clinical\/PET, radiomics, and fusion logistic models were developed to predict 12-week objective response assessed according to the modified Response Evaluation Criteria in Solid Tumors. Development-derived preprocessing parameters, coefficients, and cutoffs were applied unchanged to validation. Discrimination was assessed using AUCs with bootstrap 95% confidence intervals and paired patient-level bootstrap comparisons; calibration was assessed using the Brier score, calibration intercept, and calibration slope.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the 143-patient internal validation cohort, the clinical, radiomics, and fusion models had AUCs of 0.69 (0.60-0.77), 0.75 (0.67-0.83), and 0.84 (0.78-0.90), respectively. The paired AUC difference was 0.16 (95% CI, 0.05 to 0.26; P = 0.002) versus the clinical model and 0.09 (-0.001 to 0.19; P = 0.053) versus the radiomics model. The fusion-model Brier score was 0.16, calibration intercept was -0.02, and calibration slope was 0.83.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The fusion model integrating clinical and radiomics features demonstrated favorable discrimination and calibration for predicting 12-week objective response in patients with HCC. It improved predictive performance compared with the clinical model alone and may provide a noninvasive tool for pretreatment response assessment. Prospective multicenter studies are warranted to evaluate its generalizability and clinical utility.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15330338261495839","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T16:24:14Z","timestamp":1791390254000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Baseline PET\/CT Radiomics and Clinical Indicators for Pretreatment Response Prediction in Unresectable Hepatocellular Carcinoma: Model Development and Internal Validation"],"prefix":"10.1177","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0333-3568","authenticated-orcid":false,"given":"Yiwen","family":"Cheng","sequence":"first","affiliation":[{"name":"Mengchao Hepatobiliary Hospital of Fujian Medical 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