Article Text
Abstract
Objective Currently, there is no clear guidance defining the ideal candidate for minimally invasive interval debulking surgery. This study aimed to identify predictive factors for a minimally invasive approach in patients with advanced ovarian cancer who are candidates for interval debulking surgery after neoadjuvant chemotherapy.
Methods This was a single institution retrospective study conducted between January 2014 and June 2020 Perioperative variables were used to predict the likelihood of minimally invasive interval debulking surgery using multivariable models. A nomogram was developed, and internal validation was performed using the bootstrapping correction technique. This nomogram was built to visualize the effect of perioperative variables on the estimated probability of minimally invasive interval debulking surgery in patients with a clinical response after neoadjuvant chemotherapy. We used the four significant perioperative variables according to logistic regression.
Results A total of 108 (28.4%) and 272 (71.6%) patients underwent interval debulking surgery by a minimally invasive or open approach, respectively. Absence of omental cake (odds ratio (OR) 9.15, 95% confidence interval (CI) 4.26 to 19.64, p<0.001), high volume surgeon (OR 5.43, 95% CI 2.75 to 10.71, p<0.001), less than two peritoneal sites involved (OR 2.94, 95% CI 1.34 to 6.43, p=0.007), and CA125 normalization (OR 1.79, 95% CI 1.05 to 3.36, p=0.049) correlated with the feasibility of minimally invasive interval debulking surgery at multivariate analysis. The calibration plot demonstrated good agreement between the predicted and actual probability of minimally invasive interval debulking surgery (p=0.93, Hosmer–Lemeshow test).
Conclusions Our nomogram may serve as a useful tool to choose the surgical approach in patients with advanced ovarian cancer undergoing interval debulking surgery.
- ovarian cancer
- cytoreduction surgical procedures
- gynecologic surgical procedures
Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary information.
Statistics from Altmetric.com
Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary information.
Footnotes
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Contributors CC, AR, and CM conceived the presented idea, developed the theory, and performed the computations. VI and LQ verified the analytical methods and performed the data collection and patient recruitment. VG and SGA gave support for the statistical analysis and in the draft of the paper. GS and AF supervised the findings of this work. GS is responsible for the overall content as the guarantor. All authors discussed the results and contributed to the final manuscript.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial, or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.