Tanaka Ippei, Hirasawa Dai, Suzuki Kenjiro, Unno Syuhei, Inoue Shin, Ito Satoshi, Togashi Jyunichi, Akahira Junichi, Fujishima Fumiyoshi, Matsuda Tomoki
Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
Department of Anatomic Pathology, Sendai Kousei Hospital, Miyagi, Japan.
Endosc Int Open. 2022 Aug 15;10(8):E1045-E1052. doi: 10.1055/a-1843-0334. eCollection 2022 Aug.
Although the Japan Esophageal Society's magnifying endoscopic classification for Barrett's epithelium (JES-BE) offers high diagnostic accuracy, some cases are challenging to diagnose as dysplastic or non-dysplastic in daily clinical practice. Therefore, we investigated the diagnostic accuracy of this classification and the clinicopathological features of Barrett's esophagus cases that are difficult to diagnose correctly. Five endoscopists with experience with fewer than 10 cases of magnifying observation for superficial Barrett's esophageal carcinoma reviewed 132 images of Barrett's mucosa or carcinoma (75 dysplastic and 57 non-dysplastic cases) obtained using high-definition magnification endoscopy with narrow-band imaging (ME-NBI). They diagnosed each image as dysplastic or non-dysplastic according to the JES-BE classification, and the diagnostic accuracy was calculated. To identify risk factors for misdiagnosed images, images with a correct rate of less than 40 % were defined as difficult-to-diagnose, and those with 60 % or more were defined as easy-to-diagnose. Logistic regression analysis was performed to identify risk factors for difficult-to-diagnose images. The sensitivity, specificity and overall accuracy were 67 %, 80 % and 73 %, respectively. Of the 132 ME-NBI images, 34 (26 %) were difficult-to-diagnose and 99 (74 %) were easy-to-diagnose. Logistic regression analysis showed low-grade dysplasia (LGD) and high-power magnification images were each significant risk factors for difficult-to-diagnose images (OR: 6.80, = 0.0017 and OR: 3.31, = 0.0125, respectively). This image assessment study suggested feasibility of the JES-BE classification for diagnosis of Barrett's esophagus by non-expert endoscopists and risk factors for difficult diagnosis as high-power magnification and LGD histology. For non-experts, high-power magnification images are better evaluated in combination with low-power magnification images.
尽管日本食管学会的巴雷特上皮放大内镜分类法(JES - BE)具有较高的诊断准确性,但在日常临床实践中,有些病例很难诊断为发育异常或非发育异常。因此,我们研究了该分类法的诊断准确性以及难以正确诊断的巴雷特食管病例的临床病理特征。5位对浅表巴雷特食管癌放大观察经验少于10例的内镜医师,回顾了132张使用高清窄带成像放大内镜(ME - NBI)获得的巴雷特黏膜或癌的图像(75例发育异常和57例非发育异常病例)。他们根据JES - BE分类法将每张图像诊断为发育异常或非发育异常,并计算诊断准确性。为了确定误诊图像的危险因素,正确率低于40%的图像被定义为难以诊断,正确率在60%及以上的图像被定义为易于诊断。进行逻辑回归分析以确定难以诊断图像的危险因素。敏感性、特异性和总体准确率分别为67%、80%和73%。在132张ME - NBI图像中,34张(26%)难以诊断,99张(74%)易于诊断。逻辑回归分析显示,低级别发育异常(LGD)和高倍放大图像均是难以诊断图像的显著危险因素(OR分别为6.80,P = 0.0017和OR为3.31,P = 0.0125)。这项图像评估研究表明,JES - BE分类法对非专业内镜医师诊断巴雷特食管具有可行性,且高倍放大和LGD组织学是诊断困难的危险因素。对于非专业人员,高倍放大图像最好与低倍放大图像结合评估。