A triage strategy in advanced ovarian cancer management based on multiple predictive models for R0 resection: a prospective cohort study

• DOI: 10.3802/jgo.2018.29.e65
• Publication Date: 2018-04-24T05:35:12Z
• Authors: Zheng Feng; Hao Wen; Zhaoxia Jiang; Shuai Liu; Xingzhu Ju; Xiaojun Chen; Lingfang Xia; Junyan Xu; Rui Bi; Xiaohua Wu
• Keywords: Triage

To present the surgical outcomes of advanced epithelial ovarian cancer (AEOC) since implementation a personalized approach and to validate multiple predictive models for R0 resection. Personalized strategies included: 1) Non-invasive model: preoperative clinico-radiological assessment according Suidan criteria with score all individuals. Patients 0-2 were recommended primary debulking surgery (PDS, group A), or otherwise counseled on choices PDS, neoadjuvant chemotherapy (NAC, B) staging laparoscopy (S-LPS). 2) Minimally invasive S-LPS index value (PIV) Fagotti. Individuals PIV <8 underwent PDS (group C) received NAC D). Intraoperative (with Eisenkop, peritoneal [PCI], Aletti scores) results prospectively collected. Between September 2015 August 2017, 161 pathologically confirmed patients included. A total 52 (32.3%) had 0-2, 109 (67.7%) ≥3. Among these individuals, 41 (25.5%) S-LPS. Finally, 110 (68.3%) (A+C), 51 (31.7%) (B+D). The resection rates in 56.4% 60.8%, respectively. area under curve (AUC) was 0.548 (A+C). AUC Fagotti 0.702 C. PCI, scores 0.808, 0.797, 0.524, not effective AEOC patients. helpful decision-making should be endorsed future.