A multicenter assessment of the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease at primary debulking for advanced epithelial ovarian cancer

一项多中心研究评估了术前计算机断层扫描和CA-125预测晚期上皮性卵巢癌初次肿瘤细胞减灭术后肉眼可见残留病灶的能力

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Abstract

OBJECTIVE: To assess the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease (RD) at primary cytoreduction in advanced ovarian cancer. METHODS: A prospective, non-randomized, multicenter trial of patients who underwent primary debulking for stage III-IV epithelial ovarian cancer previously identified 9 criteria associated with suboptimal (>1cm residual) cytoreduction. This is a secondary post-hoc analysis looking at the ability to predict any RD. Four clinical and 18 radiologic criteria were assessed, and a multivariate model predictive of RD was developed. RESULTS: From 7/2001-12/2012, 350 patients met eligibility criteria. The complete gross resection rate was 33%. On multivariate analysis, 3 clinical and 8 radiologic criteria were significantly associated with the presence of any RD: age≥60years (OR=1.5); CA-125≥600U/mL (OR=1.3); ASA 3-4 (OR=1.6); lesions in the root of the superior mesenteric artery (OR=4.1), splenic hilum/ligaments (OR=1.4), lesser sac >1cm (OR=2.2), gastrohepatic ligament/porta hepatis (OR=1.4), gallbladder fossa/intersegmental fissure (OR=2); suprarenal retroperitoneal lymph nodes (OR=1.3); small bowel adhesions/thickening (OR=1.1); and moderate-severe ascites (OR=2.2). All ORs were significant with p<0.01. A 'predictive score' was assigned to each criterion based on its multivariate OR, and the rate of having any RD for patients who had a total score of 0-2, 3-5, 6-8, and ≥9 was 45%, 68%, 87%, and 96%, respectively. CONCLUSIONS: We identified 11 criteria associated with RD, and developed a predictive model in which the rate of having any RD was directly proportional to a predictive score. This model may be helpful in treatment planning.

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