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Computed tomography as a predictor of the extent of the disease and surgical outcomes in ovarian cancer
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Abstract
Objectives: The aim of the present study is to determine the predictive value of Computed Tomography (CT), alone or in combination with serum CA-125 levels, for preoperative staging, detection of the extent of the disease, and surgical complications in patients with ovarian carcinoma.
Material and methods: One hundred and fourteen patients diagnosed with ovarian carcinoma following an exploratory laparotomy with a preoperative CT scan, performed between January 2007 and June 2013, were enrolled in the study. Preoperative CT and intraoperative surgical findings were compared using 14 parameters and predictions of CT for gastrointestinal, genitourinary, and cardiovascular complications. All radiological features and clinical characteristics were analyzed statistically.
Results: CT and surgical findings correlated (sensitivity/ specificity) as follows: uterine and tubal spread (66%/89%), cervical involvement (100%/80%), peritoneal nodulesincreased density-carcinomatosis (57%/93%), omental involvement (68%/95%), retroperitoneal involvement (25%/84%), ascites (85%/87%), perirectal and perivesical fat plan obliteration (43%/94%), liver metastasis (50%/91%), small and large bowel involvement (47%/95%), adnexal mass (94%/70%), and other metastases (47%/86%). Also, CT findings were found to be statistically insignificant for prediction of mesenteric involvement, bladder metastasis, and diaphragmatic involvement. The overall CT sensitivity and specificity at detecting intraoperative findings was 91% and 71%, respectively. We found a statistically significant correlation between intestinal involvement on CT and the necessity of additional surgical procedures.
Conclusions: CT is a widely used imaging method in the preoperative evaluation of ovarian cancer. However, its predictive value, sensitivity and specificity differ, depending on the anatomical region.
Abstract
Objectives: The aim of the present study is to determine the predictive value of Computed Tomography (CT), alone or in combination with serum CA-125 levels, for preoperative staging, detection of the extent of the disease, and surgical complications in patients with ovarian carcinoma.
Material and methods: One hundred and fourteen patients diagnosed with ovarian carcinoma following an exploratory laparotomy with a preoperative CT scan, performed between January 2007 and June 2013, were enrolled in the study. Preoperative CT and intraoperative surgical findings were compared using 14 parameters and predictions of CT for gastrointestinal, genitourinary, and cardiovascular complications. All radiological features and clinical characteristics were analyzed statistically.
Results: CT and surgical findings correlated (sensitivity/ specificity) as follows: uterine and tubal spread (66%/89%), cervical involvement (100%/80%), peritoneal nodulesincreased density-carcinomatosis (57%/93%), omental involvement (68%/95%), retroperitoneal involvement (25%/84%), ascites (85%/87%), perirectal and perivesical fat plan obliteration (43%/94%), liver metastasis (50%/91%), small and large bowel involvement (47%/95%), adnexal mass (94%/70%), and other metastases (47%/86%). Also, CT findings were found to be statistically insignificant for prediction of mesenteric involvement, bladder metastasis, and diaphragmatic involvement. The overall CT sensitivity and specificity at detecting intraoperative findings was 91% and 71%, respectively. We found a statistically significant correlation between intestinal involvement on CT and the necessity of additional surgical procedures.
Conclusions: CT is a widely used imaging method in the preoperative evaluation of ovarian cancer. However, its predictive value, sensitivity and specificity differ, depending on the anatomical region.
Keywords
computed tomography, complication, prediction, ovarian carcinoma, cytoreductive surgery, radiologic imaging


Title
Computed tomography as a predictor of the extent of the disease and surgical outcomes in ovarian cancer
Journal
Issue
Article type
Research paper
Pages
326-332
Published online
2016-06-02
Page views
1414
Article views/downloads
1451
DOI
10.5603/GP.2016.0002
Pubmed
Bibliographic record
Ginekol Pol 2016;87(5):326-332.
Keywords
computed tomography
complication
prediction
ovarian carcinoma
cytoreductive surgery
radiologic imaging
Authors
Zeynep Ceren Cerci
Derya Kilic Sakarya
Mehmet Hakan Yetimalar
Incim Bezircioglu
Burcu Kasap
Emre Baser
Kamil Yucel