Evaluation of preoperative prediction of intestinal invasion in patients with ovarian cancer

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To optimize prediction for intestinal invasion of epithelial ovarian cancer. It is important to achieve debulking surgery to improve prognosis in ovarian cancer; intestinal resection is adopted if the cancer is invaded and resectable, but the preoperative evaluation method of intestinal invasion is still controversial. Methods: Patients (n = 174) who underwent primary debulking surgery for epithelial ovarian cancer were recruited for retrospective study; 28 and 146 patients were classified into the invasion and non-invasion groups, whether they needed intestinal resection or not. We collected clinical data including evaluation of computed tomography (CT), magnetic resonance imaging (MRI), and barium contrast radiography, and analyzed their accuracy. Results: The sensitivity and specificity for intestinal invasion were 33.3% and 98.6%, 42.9% and 98.6%, and 66.7% and 93.9% in CT, MRI, and barium contrast radiography, respectively. CT and MRI combined showed a sensitivity of 58.3% and specificity of 96.9%; all three methods combined was the most sensitive combination, showing a sensitivity of 79.2% and specificity of 90.8%. Conclusion: Combination of CT, MRI, and barium contrast radiography predicts intestinal invasion with the highest sensitivity. These three modalities, however, could not predict all intestinal invasion. Patients should be informed of the possibility of unexpected extensive resection.

Original languageEnglish
Pages (from-to)398-404
Number of pages7
JournalInternational Journal of Gynecology and Obstetrics
Volume153
Issue number3
DOIs
Publication statusPublished - 2021 Jun

Keywords

  • Barium contrast radiography
  • Computed tomography
  • Diagnostic imaging
  • Intestinal invasion
  • Magnetic resonance imaging
  • Ovarian cancer
  • Preoperative

ASJC Scopus subject areas

  • Obstetrics and Gynaecology

Fingerprint

Dive into the research topics of 'Evaluation of preoperative prediction of intestinal invasion in patients with ovarian cancer'. Together they form a unique fingerprint.

Cite this