The Cukurova score in the prediction of primary cytoreduction in ovarian cancer

Author:

Khatib GhanimORCID,Seyfettinoglu SevtapORCID,Kose Sevgul,Kucukgoz Gulec UmranORCID,Avcı Alper,Güzel Ahmet Baris,Ünal İlker,Paydas Semra,Vardar Mehmet Ali

Abstract

ObjectivePrimary debulking surgery has been the preferred surgical route and is still considered a quality indicator for advanced ovarian cancer surgery. However, a significant number of patients are not amenable to upfront surgery. Neoadjuvant chemotherapy and interval debulking surgery may be the most suitable approach for this group. This study aimed to evaluate a novel score for prediction of the cytoreduction results at primary debulking surgery for ovarian cancer patients.MethodsThis observational prospective study was conducted at a tertiary gynecologic oncology center between December 2020 and August 2022. Presumed primary stage III-IV epithelial ovarian carcinoma cases were included. Borderline tumors, and metastatic or non-epithelial ovarian malignancies, were excluded. Based on imaging findings, points were assigned to each anticipated surgical procedure required for complete cytoreduction. The sum of these points was multiplied by the patient’s Eastern Cooperative Oncology Group (ECOG) score, and thus, the Cukurova-clinic score was established. Furthermore, the required surgical procedures based on laparoscopic evaluation were recorded, and the score was readjusted and calculated to obtain the Cukurova score.ResultsOne hundred and fourteen patients were included in the study. Primary debulking surgery was performed in 70% of cases. Among them, complete cytoreduction (Cukurova score ≤12) was obtained in 97.3% of cases. Complete cytoreduction was not achieved in cases with Cukurova score >12. The odds ratio of 90-day mortality was 13.4 for patients with Cukurova score >12, compared with those with Cukurova score ≤12.ConclusionThe Cukurova score is a model for classifying advanced ovarian cancer patients who may be candidates for primary debulking surgery.

Publisher

BMJ

Subject

Obstetrics and Gynecology,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3