Division of Gastroenterology Hepatology, Mayo Clinic, Jacksonville, Florida 32224, USA.
Gastrointest Endosc. 2011 Mar;73(3):556-60. doi: 10.1016/j.gie.2011.01.002.
Probe-based confocal laser endomicroscopy (pCLE) is an emerging tool for in vivo imaging of the GI tract that requires the endoscopist to interpret microscopic images. The learning curve for interpretation of pCLE images is unknown.
To examine the learning curve of correctly identifying benign and neoplastic colorectal lesions by using pCLE and to evaluate the learning curve of obtaining high-quality images.
Prospective, double-blind review of pCLE images of 76 colorectal lesions by using corresponding polypectomies as the reference standard. A training set of 20 images with known histology was first reviewed to standardize image interpretation, followed by blinded review of 76 unknown images.
Eleven endoscopists from 3 different endoscopy centers evaluated the images obtained by 1 endoscopist using the high-definition confocal probe.
Patients undergoing screening and surveillance colonoscopies.
Intravenous fluorescein pCLE imaging of colorectal lesions followed by polypectomies.
Accuracy of image interpretation with constructing learning curve for pCLE image interpretation and acquisition.
Of the 76 colorectal lesions, 51 (67%) were neoplastic and 25 (33%) were benign, based on histopathology. Accuracy for the overall group was 63% for lesions 1 to 20, 64% for lesions 21 to 40, 79% for lesions 41 to 60, and 86% for lesions 61 to 76. The ability to obtain high-quality images was stable over the 76 cases.
Small sample size and use of offline video sequences.
Accurate interpretation of pCLE images for predicting neoplastic lesions can be learned rapidly by a wide range of GI specialists. Furthermore, the ability to acquire high-quality pCLE images is also quickly learned.
基于探针的共聚焦激光显微内镜(pCLE)是一种新兴的用于体内胃肠道成像的工具,需要内镜医生来解释微观图像。但是,目前尚不清楚解读 pCLE 图像的学习曲线。
通过 pCLE 检查来正确识别良性和恶性结直肠病变的学习曲线,并评估获得高质量图像的学习曲线。
前瞻性、双盲分析 76 例结直肠病变的 pCLE 图像,以相应的息肉切除术作为参考标准。首先,回顾一组 20 张已知组织学的图像,以标准化图像解释,然后对 76 张未知图像进行盲法评估。
来自 3 个不同内镜中心的 11 名内镜医生评估了由 1 名内镜医生使用高清共聚焦探头获得的图像。
接受筛查和监测结肠镜检查的患者。
静脉注射荧光素 pCLE 对结直肠病变成像,然后进行息肉切除术。
pCLE 图像解释和采集的学习曲线的构建来评估图像解释的准确性。
根据组织病理学,76 例结直肠病变中,51 例(67%)为肿瘤性病变,25 例(33%)为良性病变。总体组对病变 1-20 的准确率为 63%,对病变 21-40 的准确率为 64%,对病变 41-60 的准确率为 79%,对病变 61-76 的准确率为 86%。在 76 例病例中,获得高质量图像的能力是稳定的。
样本量小且使用离线视频序列。
广泛的胃肠道专家可以快速学习准确预测肿瘤性病变的 pCLE 图像解释。此外,获得高质量的 pCLE 图像的能力也可以快速学习。