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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Appendiceal Neoplasms, Carcinoma, Case-Control Studies, Colorectal Neoplasms, Decision Support Techniques, Female, Humans, Male, Matched-Pair Analysis, Mesothelioma, Middle Aged, Patient Selection, Peritoneal Neoplasms, Preoperative Care, Retrospective Studies, Severity of Illness Index, Tomography, X-Ray Computed.
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Does preoperative computed tomography predict resectability in peritoneal carcinomatosis? Context: Obtaining a complete cytoreduction in patients with peritoneal carcinomatosis (PC) is one of the most significant prognostic variables for long-term survival. This study explored features on preoperative computed tomography (CT) to predict unresectability. A retrospective case-control study was conducted of 15 patients with unresectable PC and 15 patients with completely resected PC matched by intraoperative peritoneal cancer index (PCI) and pathology type. Two surgical oncologists blindly analyzed all abdominopelvic CT scans. PCI estimated on imaging was not higher in unresectable patients (P = .851) and significantly underestimated intraoperative PCI measurement (P = .003). No single concerning feature was associated with unresectability. However, patients with 2 or more concerning features were more likely to be unresectable (87.5% vs 36.4%, P = .035).
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Two or more concerning CT imaging features appear to be associated with a higher risk of unresectability in patients with PC. However, no specific imaging feature should exclude a patient from an attempted cytoreduction. Final Decision: no