Risi Matthew D, Rouse Andrew R, Chambers Setsuko K, Hatch Kenneth D, Zheng Wenxin, Gmitro Arthur F
*College of Optical Sciences, University of Arizona; †University of Arizona Cancer Center; and Departments of ‡Medical Imaging, §Obstetrics and Gynecology, and ∥Pathology, College of Medicine, and ¶Department of Biomedical Engineering, University of Arizona, Tucson, AZ.
Int J Gynecol Cancer. 2016 Feb;26(2):248-54. doi: 10.1097/IGC.0000000000000595.
The aim of this study is to evaluate the performance of a confocal fluorescence microlaparoscope for in vivo detection of ovarian cancer.
METHODS/MATERIALS: Seventy-one patients scheduled for open or laparoscopic oophorectomy were consented for the imaging study. High-resolution confocal microlaparoscopic images of the epithelial surface of the ovary were acquired in vivo or ex vivo after tissue staining using acridine orange. Standard histologic evaluation of extracted tissue samples was performed and used as the gold standard of disease diagnosis. Trained human observers from different specialties viewed the microlaparoscopic images, rating each image on a 6-point scale ranging from "definitely not cancer" to "definitely cancer." Receiver operating characteristic curves were generated using these scores and the gold standard histopathologic diagnosis. Area under the receiver operating characteristic curve (AUC) was calculated as a performance metric.
Forty-five of the consented patients were used in the final evaluation study. From these 45 patients, 63 tissue locations or samples were identified and imaged with the confocal microlaparoscope. Twenty of the samples were high-grade cancers, and the remaining 43 samples were normal or noncancerous. Twenty-three of the samples were imaged in vivo, and the remaining 40 samples were imaged ex vivo. The average AUC score and standard error (SE) for detection of cancer in all images were 0.88 and 0.02, respectively. An independent-samples t test was conducted to compare AUC scores for in vivo and ex vivo conditions. No statistically significant difference in the AUC score for in vivo (AUC, 0.850; SE, 0.049) and ex vivo (AUC, 0.888; SE, 0.027) conditions was observed, t(6) = 1.318, P = 0.2355.
Area under the receiver operating characteristic curve scores indicate that high-resolution in vivo images obtained by the confocal laparoscope can distinguish between normal and malignant ovarian surface epithelium. In addition, in vivo performance is similar to that which can be obtained from ex vivo tissue.
本研究旨在评估共聚焦荧光微型腹腔镜在体内检测卵巢癌的性能。
方法/材料:71例计划进行开放性或腹腔镜卵巢切除术的患者同意参与成像研究。使用吖啶橙对组织进行染色后,在体内或体外获取卵巢上皮表面的高分辨率共聚焦微型腹腔镜图像。对提取的组织样本进行标准组织学评估,并将其用作疾病诊断的金标准。来自不同专业的经过培训的人员观察微型腹腔镜图像,按照从“肯定不是癌症”到“肯定是癌症”的6分制对每张图像进行评分。利用这些评分和金标准组织病理学诊断生成受试者操作特征曲线。计算受试者操作特征曲线下面积(AUC)作为性能指标。
45例同意参与的患者被纳入最终评估研究。从这45例患者中,共识别出63个组织部位或样本,并用共聚焦微型腹腔镜进行成像。其中20个样本为高级别癌症,其余43个样本为正常或非癌性。23个样本在体内成像,其余40个样本在体外成像。所有图像中癌症检测的平均AUC评分和标准误差(SE)分别为0.88和0.02。进行独立样本t检验以比较体内和体外条件下的AUC评分。未观察到体内(AUC,0.850;SE,0.049)和体外(AUC,0.888;SE,0.027)条件下AUC评分的统计学显著差异,t(6) = 1.318,P = 0.2355。
受试者操作特征曲线下面积评分表明,共聚焦腹腔镜获得的高分辨率体内图像能够区分正常和恶性卵巢表面上皮。此外,体内性能与体外组织获得的性能相似。