Bagul Kiran, Vijaykumar D K, Rajanbabu Anupama, Antony Mitchelle Aline, Ranganathan Venkatesan
Department of Surgical Oncology, Amrita Institute of Medical Sciences, Ponekkara PO, Kochi, Kerala 682 041 India.
Indian J Surg Oncol. 2017 Jun;8(2):98-104. doi: 10.1007/s13193-016-0601-6. Epub 2017 Feb 18.
Ovarian cancer is the seventh most common cancer in females worldwide. Optimal debulking is the standard treatment but possible only in 30-85% of advanced stages. Knowing exactly the disease extent preoperatively may predict suboptimal debulking. We analyzed diagnostic accuracy of preoperative CT scan in disease mapping and prediction of suboptimal debulking in a prospective observational study from March 2013 to May 2015 in a tertiary hospital. Adults below the age of 75 years with ECOG PS-0, 1, 2, clinically/radiologically newly diagnosed stage IIIc epithelial ovarian (EOC), and primary peritoneal carcinoma (PPC) were included. Neoadjuvant chemotherapy recipients were excluded. Preoperative multidetector CT (MDCT) scan showing deposits at 19 predetermined abdominopelvic sites were compared with the same sites seen at laparotomy and corresponding accuracies of CT scan calculated. Primary debulking surgery was done to achieve debulking to nil or less than 1-cm residual disease. Stepwise logistic regression models were used to determine the frequent suboptimal debulking sites and the predictive performance of the clinical and CT scan findings. A total of 36 patients were enrolled. The optimal debulking rate was 50%. The CT scan could detect the disease-bearing sites with overall sensitivity of 68.29%, specificity of 89%, accuracy of 78.07%, and positive and negative predictive values of 99 and 50.1%, respectively. Upon multivariate analysis, bowel mesentery ( 0.011) and omental extension ( 0.025) were associated with suboptimal debulking. CT scan accuracy at these sites (predictive performance) was 86.1%. We identified small bowel mesentery and omental extension (to spleen/stomach/colon) as sites associated with suboptimal debulking. MDCT accurately depicts peritoneal metastases, although sensitivity is reduced in certain areas of significance for optimal debulking. Further validation with more number of patients is warranted.
卵巢癌是全球女性中第七大常见癌症。最佳肿瘤细胞减灭术是标准治疗方法,但仅在30% - 85%的晚期病例中可行。术前准确了解疾病范围可预测肿瘤细胞减灭术效果欠佳。我们在一家三级医院进行了一项前瞻性观察研究,分析了2013年3月至2015年5月期间术前CT扫描在疾病定位以及预测肿瘤细胞减灭术效果欠佳方面的诊断准确性。纳入了年龄在75岁以下、ECOG体能状态为0、1、2级、临床/放射学新诊断为IIIc期上皮性卵巢癌(EOC)和原发性腹膜癌(PPC)的成年患者。接受新辅助化疗的患者被排除在外。将术前多排螺旋CT(MDCT)扫描显示的19个预定腹盆腔部位的病灶与剖腹手术时所见的相同部位进行比较,并计算CT扫描的相应准确率。进行初次肿瘤细胞减灭术以实现肿瘤细胞减灭至无残留或残留疾病小于1厘米。采用逐步逻辑回归模型来确定肿瘤细胞减灭术效果欠佳的常见部位以及临床和CT扫描结果的预测性能。共纳入36例患者。最佳肿瘤细胞减灭率为50%。CT扫描能够检测出病灶部位,总体敏感性为68.29%,特异性为89%,准确率为78.07%,阳性预测值和阴性预测值分别为99%和50.1%。多因素分析显示,肠系膜(P = 0.011)和网膜受累(P = 0.025)与肿瘤细胞减灭术效果欠佳相关。这些部位的CT扫描准确率(预测性能)为86.1%。我们确定小肠系膜和网膜受累(至脾脏/胃/结肠)是与肿瘤细胞减灭术效果欠佳相关的部位。MDCT能够准确描绘腹膜转移灶,尽管在某些对最佳肿瘤细胞减灭具有重要意义的区域敏感性会降低。有必要通过更多患者进行进一步验证。