{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["25(1)"],"submitter":["Bai D"],"pubmed_abstract":["<h4>Objective</h4>This study aimed to develop an interpretable machine learning model integrating delayed-phase contrast-enhanced CT radiomics with clinical features for noninvasive prediction of pathological grading in appendiceal pseudomyxoma peritonei (PMP), using Shapley Additive Explanations (SHAP) for model interpretation.<h4>Materials and methods</h4>This retrospective study analyzed 158 pathologically confirmed PMP cases (85 low-grade, 73 high-grade) from January 4, 2015 to April 30, 2024. Comprehensive clinical data including demographic characteristics, serum tumor markers (CEA, CA19-9, CA125, D-dimer, CA-724, CA-242), and CT-peritoneal cancer index (CT-PCI) were collected. Radiomics features were extracted from preoperative contrast-enhanced CT scans using standardized protocols"],"journal":["BMC medical imaging"],"pagination":["300"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12306113"],"repository":["biostudies-literature"],"pubmed_title":["A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei."],"pmcid":["PMC12306113"],"pubmed_authors":["Bai D","Zheng Z","Liang Y","Li F","Shi G","Wang Z"],"additional_accession":[]},"is_claimable":false,"name":"A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei.","description":"<h4>Objective</h4>This study aimed to develop an interpretable machine learning model integrating delayed-phase contrast-enhanced CT radiomics with clinical features for noninvasive prediction of pathological grading in appendiceal pseudomyxoma peritonei (PMP), using Shapley Additive Explanations (SHAP) for model interpretation.<h4>Materials and methods</h4>This retrospective study analyzed 158 pathologically confirmed PMP cases (85 low-grade, 73 high-grade) from January 4, 2015 to April 30, 2024. Comprehensive clinical data including demographic characteristics, serum tumor markers (CEA, CA19-9, CA125, D-dimer, CA-724, CA-242), and CT-peritoneal cancer index (CT-PCI) were collected. Radiomics features were extracted from preoperative contrast-enhanced CT scans using standardized protocols","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-03-18T14:05:28.479Z","creation":"2025-08-23T03:07:38.465Z"},"accession":"S-EPMC12306113","cross_references":{"pubmed":["40722011"],"doi":["10.1186/s12880-025-01843-6"]}}