Ten-year treatment outcomes of consolidation hyperthermic intraperitoneal chemotherapy for ovarian cancer (HIPEC-KOV-03R).

OBJECTIVE: We aimed to evaluate the long-term efficacy of consolidation hyperthermic intraperitoneal chemotherapy (HIPEC) for patients with primary epithelial ovarian cancer. METHODS: This retrospective cohort study included patients who underwent second-look surgery either with or without HIPEC after having complete or partial response to primary cytoreductive surgery and adjuvant platinum-based chemotherapy between January 1991 and December 2003 at Seoul St. Mary's Hospital. The 10-year progression-free survival (PFS), overall survival (OS), and toxicity within postoperative 28 days were investigated. RESULTS: A total of 87 patients were identified, 44 (50.6%) received second-look surgery with HIPEC whereas 43 (49.4%) received only second-look surgery. The 10-year PFS and OS were significantly longer in the HIPEC group compared with the control group (PFS, 53.6% vs. 34.9%, log-rank p=0.009; OS, 57.0% vs. 34.5%, log-rank p=0.025). Multivariable analysis identified HIPEC as an independent favorable prognostic factor for PFS (adjusted hazard ratio [HR]=0.42; 95% confidence interval [CI]=0.23-0.77; p=0.005) but not for OS (adjusted HR=0.58; 95% CI=0.32-1.07; p=0.079). The more common adverse events in the HIPEC group were thrombocytopenia (90.9% vs. 68.3%, p=0.005), elevated liver enzymes (65.9% vs. 29.3%, p=0.002), and wound complications (18.2% vs. 2.4%, p=0.032). However, these adverse events were reversible and did not delay subsequent consolidation chemotherapy. CONCLUSION: The consolidation HIPEC demonstrated a significant improvement in 10-year PFS but not OS, with acceptable toxicity in patients with primary epithelial ovarian cancer. Further randomized controlled trials are warranted to confirm these results.

An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer.

This retrospective single-center study included patients diagnosed with epithelial ovarian cancer (EOC) using preoperative pelvic magnetic resonance imaging (MRI). The apparent diffusion coefficient (ADC) of the axial MRI maps that included the largest solid portion of the ovarian mass was analysed. The mean ADC values (ADCmean) were derived from the regions of interest (ROIs) of each largest solid portion. Logistic regression and three types of machine learning (ML) applications were used to analyse the ADCs and clinical factors. Of the 200 patients, 103 had high-grade serous ovarian cancer (HGSOC), and 97 had non-HGSOC (endometrioid carcinoma, clear cell carcinoma, mucinous carcinoma, and low-grade serous ovarian cancer). The median ADCmean of patients with HGSOC was significantly lower than that of patients without HGSOCs. Low ADCmean and CA 19-9 levels were independent predictors for HGSOC over non-HGSOC. Compared to stage I disease, stage III disease was associated with HGSOC. Gradient boosting machine and extreme gradient boosting machine showed the highest accuracy in distinguishing between the histological findings of HGSOC versus non-HGSOC and between the five histological types of EOC. In conclusion, ADCmean, disease stage at diagnosis, and CA 19-9 level were significant factors for differentiating between EOC histological types.