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.

中文翻译：

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使用快速阅读软件减少胶囊内窥镜阅读时间，同时保持准确性。

背景和目的典型的胶囊内窥镜检查（CE）案例会生成数以万计的图像，而异常通常仅限于几帧。Omni模式是一种新颖的EndoCapsule软件算法（奥林巴斯，东京，日本），旨在智能地删除重复图像，同时保持病变检测的准确性。方法这项前瞻性多中心研究在9个欧洲中心进行。常规情况下，以常规模式连续读取未选择的CE病例，并检查每个捕获的帧。随后，案例被匿名化并随机分配到另一个中心，在这里使用Omni模式进行读取。记录检测到的病变和阅读时间，并比较两种观察模式之间的发现。根据P分类（P0，P1和P2）描述了病变的临床意义。如果发现两种方式的病变检测均存在差异，则在共识会议上进行专家盲法审查。结果接受CE的患者人群的平均年龄为49.5岁（范围：18-91岁），其中贫血或胃肠道出血的调查占71.8％。小肠的平均运输时间为4小时26分钟。正常模式下的平均阅读时间为42.5分钟。Omni模式的使用明显更快（P <.0001），平均节省了24.6分钟的时间（95％置信区间，22.8-26.9）。识别出2127个病变，并根据P分类将其分类为P0（1234），P1（656）和P2（237）。两种阅读模式均以40％（936）识别病灶，仅正常模式或全能模式仅识别1186个病灶。正常模式解释与647个病变缺失有关，准确度为0.70。全能模式解释导致539个病变被漏诊，准确度为0.75。两种阅读模式之间的临床结论均无显着差异。结论这项研究表明，CE的阅读时间平均可减少40％，而不会降低临床准确性。