Becq Aymeric, Histace Aymeric, Camus Marine, Nion-Larmurier Isabelle, Abou Ali Einas, Pietri Olivia, Romain Olivier, Chaput Ulriikka, Li Cynthia, Marteau Philippe, Florent Christian, Dray Xavier
Saint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Sorbonne University, Paris, France.
Endosc Int Open. 2018 Jul;6(7):E844-E850. doi: 10.1055/a-0577-2897. Epub 2018 Jul 4.
Colon capsule endoscopy (CCE) does not possess an objective and reliable scoring system to assess the quality of visualization of the colon mucosa. The aim of this study was to establish a colonic computed assessment of cleansing (CAC) score able to discriminate "adequately cleansed" from "inadequately cleansed" CCE still frames.
Twelve normal and complete CCEs, using the Pillcam Colon 2 system (Medtronic, Minnesota, United States), were prospectively selected amongst a database. A CAC score, defined as the ratio of color intensities red over green (R/G ratio), and red over brown (R/(R + G) ratio) was calculated for each extracted colonic frame. After sorting and random selection, two sets of still frames representative of the range of these ratios were obtained. These images were analyzed twice in random order by two experienced CCE readers who were blinded to the CAC scores. A receiver operating characteristic (ROC) curve was forged for both types of ratios and a threshold established, yielding the highest diagnostic performance in terms of adequate cleansing assessment.
Four-hundred-and-eight frames were extracted. Regarding the R/G ratio, a threshold value of 1.55 was calculated, with a sensitivity of 86.5 % and a specificity of 77.7 %. Regarding the R/(R + G) ratio, a threshold value of 0.58 was calculated with a sensitivity of 95.5 % and a specificity of 62.9 %.
The two proposed CAC scores based on the ratio of color intensities come with high sensitivities for discriminating between "adequately cleansed" and "inadequately cleansed" CCE still frames, but they lack specificity. Further refinement, with implementation of additional image parameters, is warranted.
结肠胶囊内镜检查(CCE)缺乏客观可靠的评分系统来评估结肠黏膜的可视化质量。本研究的目的是建立一种结肠清洁度计算机评估(CAC)评分,以区分CCE静止图像中“清洁充分”和“清洁不充分”的情况。
前瞻性地从数据库中选取了12例使用Pillcam Colon 2系统(美敦力公司,美国明尼苏达州)进行的正常且完整的CCE检查。为每个提取的结肠图像帧计算一个CAC评分,定义为红色与绿色颜色强度之比(R/G比)以及红色与棕色之比(R/(R+G)比)。经过排序和随机选择,获得了两组代表这些比例范围的静止图像。两位有经验的CCE阅片者对这些图像进行了两次随机顺序分析,且对CAC评分不知情。针对两种比例类型绘制了受试者工作特征(ROC)曲线并确定了阈值,在充分清洁评估方面产生了最高的诊断性能。
共提取了408帧图像。对于R/G比,计算出的阈值为1.55,灵敏度为86.5%,特异性为77.7%。对于R/(R+G)比,计算出的阈值为0.58,灵敏度为95.5%,特异性为62.9%。
基于颜色强度比例提出的两种CAC评分在区分CCE静止图像中“清洁充分”和“清洁不充分”方面具有较高的灵敏度,但缺乏特异性。有必要通过纳入其他图像参数进行进一步优化。