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CC BY-NC-ND 4.0 · Geburtshilfe Frauenheilkd 2020; 80(09): 915-923
DOI: 10.1055/a-1226-6505
GebFra Science
Original Article/Originalarbeit

The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer

Article in several languages: English | deutsch
Angrit Stachs
1   Gynäkologische Radiologie, University of Rostock, Rostock, Germany
,
Karen Engel
2   University of Rostock, Rostock, Germany
,
Johannes Stubert
3   Universitätsfrauenklinik, University of Rostock, Rostock, Germany
,
Toralf Reimer
3   Universitätsfrauenklinik, University of Rostock, Rostock, Germany
,
Bernd Gerber
3   Universitätsfrauenklinik, University of Rostock, Rostock, Germany
,
Max Dieterich
3   Universitätsfrauenklinik, University of Rostock, Rostock, Germany
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Abstract

Introduction Optimal cytoreduction is the most important prognostic factor in advanced ovarian cancer. Although staging and assessment of operability are made by exploratory surgery, preoperative computed tomography (CT) of the abdomen is regarded as standard. The aim of this study was to examine various CT parameters with regard to prediction of optimal cytoreduction.

Patients and Methods The retrospective study included 131 patients with ovarian cancer newly diagnosed between 2010 and 2014. Of these, n = 36 with FIGO stage I to IIB were excluded from the study. A preoperative abdominal CT was available for n = 75 of the 95 patients with FIGO stage IIC to IV. The CT scans underwent blinded review. The 11 evaluated CT parameters were examined by means of χ2 test and logistic regression analysis with regard to the endpoints of macroscopic residual tumour and residual tumour > 1 cm. Survival analyses used the Kaplan-Meier method and log rank test.

Results Of 75 patients, 28 (37.3%) had complete tumour resection and 26 (34.7%) had residual tumour ≤ 1 cm. Residual tumours > 1 cm were found in 21 (28%) patients, five of which were not resectable. Overall survival with residual tumour > 1 cm differed significantly from the group with no macroscopic residual tumour (p = 0.003) and with residual tumour ≤ 1 cm (p = 0.04). The CT parameters tumour foci in the diaphragm, mesocolon, greater omentum and peritoneum as well as ascites correlated with macroscopic residual tumour. In the multivariate logistic regression analysis only the CT parameter intraparenchymal liver metastasis was statistically significant with regard to prediction of suboptimal tumour resection (> 1 cm) (OR 8.04; 95% CI 1.57 – 42.4; p = 0.0134). The sensitivity, specificity, PPV and NPV were 37.5, 89.7, 66.7 and 72.2%.

Conclusion Although risk parameters for suboptimal tumour reduction can be identified by CT of the abdomen, surgical exploration with histological confirmation of the diagnosis is essential because of the poor diagnostic accuracy.

Key words

ovarian cancer - computed tomography - R0 resection - debulking surgery


Publication History

Received: 28 April 2020

Accepted after revision: 21 July 2020

Article published online:
02 September 2020

© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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