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The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer
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 va...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467804/ https://www.ncbi.nlm.nih.gov/pubmed/32905205 http://dx.doi.org/10.1055/a-1226-6505 |
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author | Stachs, Angrit Engel, Karen Stubert, Johannes Reimer, Toralf Gerber, Bernd Dieterich, Max |
author_facet | Stachs, Angrit Engel, Karen Stubert, Johannes Reimer, Toralf Gerber, Bernd Dieterich, Max |
author_sort | Stachs, Angrit |
collection | PubMed |
description | 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 χ (2) 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. |
format | Online Article Text |
id | pubmed-7467804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-74678042020-09-03 The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer Stachs, Angrit Engel, Karen Stubert, Johannes Reimer, Toralf Gerber, Bernd Dieterich, Max Geburtshilfe Frauenheilkd 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 χ (2) 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. Georg Thieme Verlag KG 2020-09 2020-09-02 /pmc/articles/PMC7467804/ /pubmed/32905205 http://dx.doi.org/10.1055/a-1226-6505 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Stachs, Angrit Engel, Karen Stubert, Johannes Reimer, Toralf Gerber, Bernd Dieterich, Max The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title | The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title_full | The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title_fullStr | The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title_full_unstemmed | The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title_short | The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer |
title_sort | significance of preoperative computed tomography for predicting optimal cytoreduction in advanced ovarian cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467804/ https://www.ncbi.nlm.nih.gov/pubmed/32905205 http://dx.doi.org/10.1055/a-1226-6505 |
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