Splenectomy is an independent risk factor for poorer perioperative outcomes after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: an analysis of 936 procedures

The Role of Secondary Cytoreduction and Hyperthermic Intraperitoneal Chemotherapy in Recurrent Ovarian Peritoneal Carcinomatosis

BACKGROUND AND AIMS

Ovarian cancer maintains the highest mortality rate among gynecological malignancies. Unfortunately, two-thirds of cases are diagnosed at an advanced stage with the presence of peritoneal carcinomatosis. In this study, we aimed to present the 7-year results of cytoreductive surgery and hyperthermic intraperitoneal chemotherapy in cases where peritoneal carcinomatosis developed during the medical oncological treatment and follow-up after primary high-grade serous ovarian cancer debulking surgeries.

PATIENTS AND METHODS

Data from 63 patients collected prospectively in our clinic were retrospectively evaluated.

RESULTS

Postoperative Clavien-Dindo grade 3-4 complications occurred in 12 cases (19%) and 14 cases (22.2%), respectively. CD grade 3a complications developed in four cases (6.3%), which were treated with percutaneous drainage catheters, while CD grade 3b complications occurred in eight cases (12.7%), and these cases underwent reoperation. Five cases (7.9%) experienced mortality within the first 30 days. The mean survival time was determined as 44.99 months (36.33-53.65), while the median survival time was 56 months.

CONCLUSIONS

In selected patients requiring redo surgery due to recurrent ovarian cancer, secondary cytoreductive surgery and hyperthermic intraperitoneal chemotherapy are associated with longer overall survival and should be considered in the treatment of advanced-stage disease. Further large-scale randomized controlled trials are needed in this regard.

A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

INTRODUCTION

Peritoneal carcinomatosis is considered a late-stage manifestation of neoplastic diseases. Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) can be an effective treatment for these patients. However, the procedure is associated with significant morbidity. Our aim was to develop a machine learning model to predict the probability of achieving textbook outcome (TO) after CRS-HIPEC using only preoperatively known variables.

METHODS

Adult patients with peritoneal carcinomatosis and who underwent CRS-HIPEC were included from a large, single-center, prospectively maintained dataset (2001-2020). TO was defined as a hospital length of stay ≤14 days and no postoperative adverse events including any complications, reoperation, readmission, and mortality within 90 days. Four models (logistic regression, neural network, random forest, and XGBoost) were trained, validated, and a user-friendly risk calculator was then developed.

RESULTS

A total of 1954 CRS-HIPEC procedures for peritoneal carcinomatosis were included. Overall, 13% (n = 258) achieved TO following CRS-HIPEC procedure. XGBoost and logistic regression had the highest area under the curve (AUC) (0.76) after model optimization, followed by random forest (AUC 0.75) and neural network (AUC 0.74). The top preoperative variables associated with achieving a TO were lower peritoneal cancer index scores, not undergoing proctectomy, splenectomy, or partial colectomy and being asymptomatic from peritoneal metastases prior to surgery.

CONCLUSION

This is a data-driven study to predict the probability of achieving TO after CRS-HIPEC. The proposed pipeline has the potential to not only identify patients for whom surgery is not associated with prohibitive risk, but also aid surgeons in communicating this risk to patients.