Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging

作     者：Georg Wimmer Michael Gadermayr Gernot Wolkersdorfer Roland Kwitt Toru Tamaki Jens Tischendorf Michael Hafner Shigeto Yoshida Shinji Tanaka Dorit Merhof Andreas Uhl 

作者机构：Department of Computer SciencesUniversity of Salzburg Interdisciplinary Imaging and Vision Institute AachenRWTH Aachen Department of Internal Medicine IParacelsus Medical University/Salzburger Landeskliniken(SALK) Department of Information EngineeringGraduate School of EngineeringHiroshima University Internal Medicine and GastroenterologyUniversity Hospital Aachen Department of Gastroenterologie and HepatologieKrankenhaus St.Elisabeth Department of Endoscopy and MedicineGraduate School of Biomedical and Health ScienceHiroshima University Department of EndoscopyHiroshima University Hospital 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2019年第25卷第10期

页      面：1197-1209页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：the Austrian Science Fund(FWF) KLI project 429,No.TRP206 

主　　题：Endoscopy Colonic polyps Automated diagnosis system Narrow-band imaging Chromoendoscopy Imaging modalities Image enhancement technologies 

摘      要：BACKGROUND It was shown in previous studies that high definition endoscopy, high magnification endoscopy and image enhancement technologies, such as chromoendoscopy and digital chromoendoscopy [narrow-band imaging(NBI), iScan] facilitate the detection and classification of colonic polyps during endoscopic sessions. However, there are no comprehensive studies so far that analyze which endoscopic imaging modalities facilitate the automated classification of colonic polyps. In this work, we investigate the impact of endoscopic imaging modalities on the results of computer-assisted diagnosis systems for colonic polyp *** To assess which endoscopic imaging modalities are best suited for the computerassisted staging of colonic *** In our experiments, we apply twelve state-of-the-art feature extraction methods for the classification of colonic polyps to five endoscopic image databases of colonic lesions. For this purpose, we employ a specifically designed experimental setup to avoid biases in the outcomes caused by differing numbers of images per image database. The image databases were obtained using different imaging modalities. Two databases were obtained by high-definition endoscopy in combination with i-Scan technology(one with chromoendoscopy and one without chromoendoscopy). Three databases were obtained by highmagnification endoscopy(two databases using narrow band imaging and one using chromoendoscopy). The lesions are categorized into non-neoplastic and neoplastic according to the histological *** Generally, it is feature-dependent which imaging modalities achieve high results and which do not. For the high-definition image databases, we achieved overall classification rates of up to 79.2% with chromoendoscopy and 88.9% without chromoendoscopy. In the case of the database obtained by high-magnification chromoendoscopy, the classification rates were up to 81.4%. For the combination of high-magnification endoscopy with NBI, results