Department of Gastroenterology, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal.
Scand J Gastroenterol. 2020 Mar;55(3):371-375. doi: 10.1080/00365521.2020.1734650. Epub 2020 Mar 9.
A new computer algorithm called has recently been introduced by , but data concerning its application and efficacy are scarce. To evaluate the lesion detection rate, per-patient sensitivity and the diagnostic accuracy using All patients who performed CE between January 2018 and June 2019, whose indication was obscure gastrointestinal bleeding (OGIB) and with findings on CE, were included. Lesions identified in conventional reading were selected and considered as reference. Eighty-nine patients were included, 50.6% male, with a mean age of 68.4 years-old (±12.3). The mode detected 85.5% of lesions previously detected by conventional reading (524 out of 613). There were 89 missed lesions, mainly erosions or ulcers (44.9%) and angioectasias (38.2%). The lesion detection rate was found to be lower in the jejunum and ileum compared to extra-small bowel locations and duodenum ( = .04). Although had a per-patient sensitivity for all lesions of 56.2% and a per-patient sensitivity for all clinically significant lesions of 83.1%, it achieved a diagnostic accuracy of 91%. The per-patient sensitivity for all lesions was shown to be below expectations, although the lesion detection rate, the per-patient sensitivity for all clinically significant lesions, and the diagnostic accuracy were shown to be higher.
一种名为 的新计算机算法最近由 推出，但有关其应用和效果的数据还很缺乏。为了评估病变检出率、每位患者的敏感性和使用 的诊断准确性，我们纳入了 2018 年 1 月至 2019 年 6 月期间行 CE 的所有患者，其适应证为不明原因的胃肠道出血（OGIB）且 CE 结果阳性。选择常规阅读中识别的病变，并将其视为参考。共纳入 89 例患者，其中 50.6%为男性，平均年龄为 68.4 岁（±12.3）。 模式检测到了 85.5%的常规阅读先前检测到的病变（524 个病变中有 613 个）。有 89 个病变漏诊，主要为糜烂或溃疡（44.9%）和血管扩张（38.2%）。与非小肠部位和十二指肠相比，空肠和回肠的病变检出率较低（ =.04）。虽然 对所有病变的每位患者敏感性为 56.2%，对所有临床显著病变的每位患者敏感性为 83.1%，但其诊断准确性为 91%。尽管对所有病变的每位患者敏感性低于预期，但病变检出率、对所有临床显著病变的每位患者敏感性和诊断准确性均较高。
