Rosa-Rizzotto Erik, Dupuis Adrian, Guido Ennio, Caroli Diego, Monica Fabio, Canova Daniele, Cervellin Erica, Marin Renato, Trovato Cristina, Crosta Cristiano, Cocchio Silvia, Baldo Vincenzo, De Lazzari Franca
Dpt of Hospital and Territory, Gastroenterology Unit, St Anthony Hospital, Padua.
Dpt of Medicine, Oncology Unit, San Donà di Piave, Venice.
Endosc Int Open. 2015 Oct;3(5):E501-7. doi: 10.1055/s-0034-1392109. Epub 2015 Jun 24.
Neoplastic lesions can be missed during colonoscopy, especially when cleansing is inadequate. Bowel preparation scales have significant limitations and no objective and standardized method currently exists to establish colon cleanliness during colonoscopy. The aims of our study are to create a software algorithm that is able to analyze bowel cleansing during colonoscopies and to compare it to a validate bowel preparation scale.
A software application (the Clean Colon Software Program, CCSP) was developed. Fifty colonoscopies were carried out and video-recorded. Each video was divided into 3 segments: cecum-hepatic flexure (1st Segment), hepatic flexure-descending colon (2nd Segment) and rectosigmoid segment (3rd Segment). Each segment was recorded twice, both before and after careful cleansing of the intestinal wall. A score from 0 (dirty) to 3 (clean) was then assigned by CCSP. All the videos were also viewed by four endoscopists and colon cleansing was established using the Boston Bowel Preparation Scale. Interclass correlation coefficient was then calculated between the endoscopists and the software.
The cleansing score of the prelavage colonoscopies was 1.56 ± 0.52 and the postlavage one was 2,08 ± 0,59 (P < 0.001) showing an approximate 33.3 % improvement in cleansing after lavage. Right colon segment prelavage (0.99 ± 0.69) was dirtier than left colon segment prelavage (2.07 ± 0.71). The overall interobserver agreement between the average cleansing score for the 4 endoscopists and the software pre-cleansing was 0.87 (95 % CI, 0.84 - 0.90) and post-cleansing was 0.86 (95 % CI, 0.83 - 0.89).
The software is able to discriminate clean from non-clean colon tracts with high significance and is comparable to endoscopist evaluation.
结肠镜检查期间可能会漏诊肿瘤性病变,尤其是在肠道清洁不充分时。肠道准备评分存在显著局限性,目前尚无客观、标准化的方法来确定结肠镜检查期间的结肠清洁度。我们研究的目的是创建一种能够分析结肠镜检查期间肠道清洁情况的软件算法,并将其与经过验证的肠道准备评分进行比较。
开发了一款软件应用程序(清洁结肠软件程序,CCSP)。进行了50例结肠镜检查并进行视频记录。每个视频分为3段:盲肠-肝曲(第1段)、肝曲-降结肠(第2段)和直肠乙状结肠段(第3段)。每段在仔细清洁肠壁前后各记录一次。然后由CCSP给出从0(脏)到3(清洁)的评分。所有视频还由4位内镜医师观看,并使用波士顿肠道准备评分来确定肠道清洁情况。随后计算内镜医师与软件之间的组内相关系数。
灌洗前结肠镜检查的清洁评分为1.56±0.52,灌洗后为2.08±0.59(P<0.001),表明灌洗后清洁度提高了约33.3%。灌洗前右结肠段(0.99±0.69)比左结肠段(2.07±0.71)更脏。4位内镜医师的平均清洁评分与软件清洁前的总体观察者间一致性为0.87(95%CI,0.84-0.90),清洁后为0.86(95%CI,0.83-0.89)。
该软件能够高度显著地区分清洁与不清洁的结肠段,并与内镜医师的评估相当。