使用快速阅读软件来减少胶囊内镜的阅读时间，同时保持准确性。
Use of rapid reading software to reduce capsule endoscopy reading times while maintaining accuracy.
机构信息
NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom; Nottingham Digestive Diseases Centre, The University of Nottingham, Nottingham, United Kingdom.
Department of Gastroenterology, Hepatology and Oncology, Center of Postgraduate Medical Education, Warsaw, Poland; Department of Gastroenterological Oncology, Maria Sklodowska-Curie Institute - Oncology Center, Warsaw, Poland.
出版信息
Gastrointest Endosc. 2020 Jun;91(6):1322-1327. doi: 10.1016/j.gie.2020.01.026. Epub 2020 Jan 22.
BACKGROUNDS AND AIMS
A typical capsule endoscopy (CE) case generates tens of thousands of images, with abnormalities often confined to a just few frames. Omni Mode is a novel EndoCapsule software algorithm (Olympus, Tokyo, Japan) that proposes to intelligently remove duplicate images while maintaining accuracy in lesion detection.
METHODS
This prospective multicenter study took place across 9 European centers. Consecutive, unselected CE cases were read conventionally in normal mode, with every captured frame reviewed. Cases were subsequently anonymized and randomly allocated to another center where they were read using Omni Mode. Detected lesions and reading times were recorded, with findings compared between both viewing modes. The clinical significance of lesions was described according to the P classification (P0, P1, and P2). Where a discrepancy in lesion detection in either mode was found, expert blinded review at a consensus meeting was undertaken.
RESULTS
The patient population undergoing CE had a mean age of 49.5 years (range, 18-91), with the investigation of anemia or GI bleeding accounting for 71.8% of cases. The average small-bowel transit time was 4 hours, 26 minutes. The mean reading time in normal mode was 42.5 minutes. The use of Omni Mode was significantly faster (P < .0001), with an average time saving of 24.6 minutes (95% confidence interval, 22.8-26.9). The 2127 lesions were identified and classified according to the P classification as P0 (1234), P1 (656), and P2 (237). Lesions were identified using both reading modes in 40% (n = 936), and 1186 lesions were identified by either normal or Omni Mode alone. Normal mode interpretation was associated with 647 lesions being missed, giving an accuracy of .70. Omni Mode interpretation led to 539 lesions being missed, with an accuracy of .75. There was no significant difference in clinical conclusions made between either reading mode.
CONCLUSIONS
This study shows that CE reading times can be reduced by an average of 40%, without any reduction in clinical accuracy.
背景和目的
典型的胶囊内镜（CE）检查会生成数万张图像，而异常通常局限于少数几张图像。Omni 模式是一种新型的 EndoCapsule 软件算法（Olympus，东京，日本），它旨在通过智能删除重复图像来保持病变检测的准确性。
方法
本前瞻性多中心研究在 9 个欧洲中心进行。连续的、未经选择的 CE 病例以正常模式进行常规阅读，对每一个捕获的图像进行审查。然后将病例匿名化并随机分配到另一个中心，在该中心使用 Omni 模式进行阅读。记录检测到的病变和阅读时间，并比较两种观察模式下的结果。根据 P 分类（P0、P1 和 P2）描述病变的临床意义。在任何一种模式下发现病变检测存在差异的情况下，在共识会议上进行了专家盲法复查。
结果
接受 CE 检查的患者人群平均年龄为 49.5 岁（范围，18-91 岁），贫血或胃肠道出血的检查占 71.8%。小肠转运时间平均为 4 小时 26 分钟。正常模式下的平均阅读时间为 42.5 分钟。使用 Omni 模式明显更快（P<.0001），平均节省时间 24.6 分钟（95%置信区间，22.8-26.9）。根据 P 分类，2127 个病变被确定为 P0（1234）、P1（656）和 P2（237）。两种阅读模式均能识别出 40%（n=936）的病变，而正常或 Omni 模式单独识别出 1186 个病变。正常模式的解释漏掉了 647 个病变，准确率为 70%。Omni 模式的解释漏掉了 539 个病变，准确率为 75%。两种阅读模式的临床结论无显著差异。
结论
本研究表明，CE 阅读时间可平均缩短 40%，而临床准确性无任何降低。
Zotero 插件