Abstract:Objective This study aimed to investigate the importance of a Suidan preoperative evaluation model in predicting the effect of tumor cell reduction in patients with advanced epithelial ovarian cancer. Methods In this study, a retrospective cohort study design was used. A total of 152 patients with advanced epithelial ovarian cancer who underwent surgical treatment in the Gynecologic Oncology Department of the First Affiliated Hospital of Bengbu Medical College from January 2019 to October 2020 were included. Patients' age ranged from 18 to 85 years, with a median age of 55 years. According to the International Union of Obstetrics and Gynecology classified,117 cases as stage Ⅲ and 35 cas es as stage Ⅳ. All patients were evaluated using a Suidan preoperative evaluation model and scored 0-9 points. All patients received ovarian cancer cell reduction, and they were divided into three groups in accordance with the surgical method and Suidan score: patients receiving primary debulking surgery (PDS) with Suidan's preoperative score of <3 were included in the PDS-A group (42 cases); patients receiving PDS with Suidan's preoperative score of ≥3 were included in the PDS-B group (46 cases); patients receiving IDS combined with NACT with Suidan's preoperative score of ≥3 were included in the NACT+IDS group (64 cases). The clinical baseline data, unsatisfactory tumor reduction rate, and gross residual lesion rate of patients in the three groups were compared, and the differences in surgical unsatisfactory tumor reduction rate and gross residual lesion rate among patients with different Suidan scores were compared. Moreover, the predictive value of the Suidan preoperative evaluation model for unsatisfactory tumor reduction and gross residual lesion after treatment in patients with advanced epithelial ovarian cancer was evaluated using the receiver operating characteristic (ROC) curve. Results No significant differences in age, pathological type, histological grade, and FIGO stage were found among the three groups (all P values >0.05). The following unsatisfactory tumor reduction rate and residual lesion rate of patients in the three groups were arranged from high to low: PDS-B group (71.7%[33/46], 78.3%[36/46]), NACT+IDS group (48.4%[31/64], 54.7%[33/64]), and PDS-A group (23.8%[10/42], 33.3%[14/42]). The differences were statistically significant (χ2=20.19, 18.05, all P values <0.001). For patients receiving PDS with different Suidan scores, the rate of surgical unsatisfactory tumor reduction and the rate of gross residual lesions gradually increased with the increase of patient scores. The ROC curve showed that the Suidan preoperative assessment model predicted an area under the tumor reduction curve (AUC) of 0.761 for patients with advanced epithelial ovarian cancer (95%[credibility interval]CI) 0.657-0.864), and the highest Youden index was 0.478. In addition, the optimal scoring threshold, sensitivity, and specificity were 3 points, 76.7%, and 71.1%, respectively. The predictive AUC of surgical residual lesions in patients with advanced epithelial ovarian cancer was 0.730 (95%CI 0.624-0.836), and the highest Yuden index was 0.457. Moreover, the optimal scoring threshold was 3, sensitivity, and specificity were 72.0% and 73.7%. Conclusion The Suidan preoperative evaluation model has good predictive value for tumor cell reduction in patients with advanced epithelial ovarian cancer, with a Suidan score of 3, indicating high sensitivity and specificity.
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