کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6097411 1210289 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Original articleClinical endoscopyNovel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیماری‌های گوارشی
پیش نمایش صفحه اول مقاله
Original articleClinical endoscopyNovel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)
چکیده انگلیسی

BackgroundEndocytoscopy enables in vivo observation of nuclei at 450× magnification during GI endoscopy, thus allowing precise prediction of lesion pathology. However, because it requires training and experience, it may be beneficial only when performed by expert endoscopists.ObjectiveTo develop and evaluate a novel computer-aided diagnosis system for endocytoscopic imaging (EC-CAD) of colorectal lesions.DesignPilot study.SettingUniversity hospital.PatientsOne hundred fifty-two patients with small colorectal polyps (≤10 mm) who had undergone endocytoscopy.InterventionTest sets of white-light endoscopic images and endocytoscopic images from 176 small colorectal polyps (137 neoplastic and 39 non-neoplastic polyps) were assessed by EC-CAD, 2 expert endoscopists, and 2 trainee endoscopists.Main Outcome MeasurementSensitivity, specificity, and accuracy in predicting neoplastic change by EC-CAD comparing expert and trainee endoscopists.ResultsEC-CAD had a sensitivity of 92.0% and an accuracy of 89.2%; these were comparable to those achieved by expert endoscopists (92.7% and 92.3%; P = .868 and .256, respectively) and significantly higher than those achieved by trainee endoscopists (81.8% and 80.4%; P < .001 and .002, respectively). EC-CAD achieved a specificity of 79.5%; this did not differ significantly from that achieved by the experts and trainees. EC-CAD also enabled instant diagnosis, taking only 0.3 seconds for each lesion with perfect reproducibility.LimitationsNo sample size calculation.ConclusionsEC-CAD provides fully automated instant classification of colorectal polyps with excellent sensitivity, accuracy, and objectivity. Thus, it can be a powerful tool for facilitating decision making during routine colonoscopy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gastrointestinal Endoscopy - Volume 81, Issue 3, March 2015, Pages 621-629
نویسندگان
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