Related Experiment Video
Updated: May 30, 2025
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
Published on: November 2, 2014
Computed tomography-based prediction of interval cytoreduction in advanced ovarian cancer
Beatriz Yesenia Cortés García1, Isabel Sollozo-Dupont1, Evelyn Azaria Torres Gómez1
1Departamento de Radiodiagnóstico, Subdirección de Servicios Auxiliares de Diagnóstico y Tratamiento, Instituto Nacional de Cancerología, Tlalpan, Mexico City, Mexico.
Objective:
Our retrospective study aimed to investigate the role of computed tomography (CT) using both the tomographic Fagotti index and the Sugarbaker peritoneal cancer index (PCI) in predicting the feasibility of optimal interval debulking surgery in epithelial ovarian cancer.
Methods:
Patients with advanced ovarian cancer treated in our institution who were eligible for interval debulking surgery were identified and included in the study. A retrospective image collection was operated, and CT scan evaluations were conducted by 2 independent radiologists to establish both scores (Fagotti index and Sugarbaker PCI). The workflow included a third radiologist who resolved discrepancies. The receiver operating characteristics curve followed by the Youden J statistic was calculated to determine cutoff points that best differentiated complete/optimal versus suboptimal cytoreduction. The Fagotti index and Sugarbaker PCI cutoffs' accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were calculated and represented as 95% CIs.
Results:
A total of 60 consecutive patients who had complete information in their charts with evaluable images and complete information about surgery were evaluated; of these, 35 had a complete/optimal interval debulking surgery. The receiver operating characteristic curve of the Fagotti index scoring system showed that a cutoff of ≥3 can identify 100% of inoperable patients. However, 29% of patients were falsely labeled as inoperable. A cutoff point of ≥5 avoids 88% of unnecessary laparotomies, reducing the rate of false inoperable designation from 29% to 17%. A Sugarbaker PCI of ≥8 predicts the risk of unnecessary laparotomies in 68%, with 26% falsely labeled as inoperable. The score of ≥7 is most effective in avoiding unnecessary surgeries (80%), but the chance of false positives increases from 26% to 32%.
Conclusion:
CT-based scoring systems used in the present work can help determine which patients with advanced ovarian cancer are suitable for interval debulking surgery with high precision. Future studies are needed to enhance accuracy, thereby amplifying the radiologists' competency in using a systematic CT-based scoring system.
