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

作者：Suidan Rudy S; Ramirez Pedro T; Sarasohn Debra M; Teitcher Jerrold B; Iyer Revathy B; Zhou Qin; Iasonos Alexia; Denesopolis John; Zivanovic Oliver; Roche Kara C Long; Sonoda Yukio; Coleman Robert L; Abu Rustum Nadeem R; Hricak Hedvig; Chi Dennis S^*

来源：Gynecologic Oncology, 2017, 145(1): 27-31.

DOI：10.1016/j.ygyno.2017.02.020

• Ovarian cancer
• CT scan
• CA-125
• Primary debulking
• Gross residual disease

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 (>1 cm 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 >= 60 years (OR = 1.5); CA-125 >= 600 U/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 > 1 cm (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.

• 出版日期2017-4