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Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging

文献类型：期刊论文

作者Gong, Lixin11,12,13; Wang, Min10; Shu, Lei9; He, Jie7,8; Bin Qin6; Xu, Jiacheng3,4,5; Su, Wei3,4,5; Dong, Di11; Hu, Hao2,3,4,5; Tian, Jie1,11,12,13
刊名GASTROINTESTINAL ENDOSCOPY
出版日期2022-12-01
卷号96期号:6页码:929-+
ISSN号0016-5107
DOI10.1016/j.gie.2022.07.019
通讯作者Hu, Hao()
英文摘要Background and Aims: The detection rate for early gastric cancer (EGC) is unsatisfactory, and mastering the diagnostic skills of magnifying endoscopy with narrow-band imaging (ME-NBI) requires rich expertise and experience. We aimed to develop an EGC captioning model (EGCCap) to automatically describe the visual character Methods: ME-NBI images (n = 1886) from 294 cases were enrolled from multiple centers, and corresponding 5658 text data were designed following the simple EGC diagnostic algorithm. An EGCCap was developed using the multiscale meshed-memory transformer. We conducted comprehensive evaluations for EGCCap including the quantitative and quality of performance, generalization, robustness, interpretability, and assistant value analyses. The commonly used metrics were BLEUs, CIDEr, METEOR, ROUGE, SPICE, accuracy, sensitivity, and specificity. Two-sided statistical tests were conducted, and statistical significance was determined when P < .05. Results: EGCCap acquired satisfying captioning performance by outputting correctly and coherently clinically meaningful sentences in the internal test cohort (BLEU1 = 52.434, CIDEr = 36.734, METEOR = 27.823, ROUGE = 49.949, SPICE = 35.548) and maintained over 80% performance when applied to other centers or corrupted data. The diagnostic ability of endoscopists improved with the assistance of EGCCap, which was especially significant (P < .05) for junior endoscopists. Endoscopists gave EGCCap an average remarkable score of 7.182, showing acceptance of EGCCap. Conclusions: EGCCap exhibited promising captioning performance and was proven with satisfying generalization, robustness, and interpretability. Our study showed potential value in aiding and improving the diagnosis of EGC and facilitating the development of automated reporting in the future. (Gastrointest Endosc 2022;96:929-42.)
WOS关键词DIAGNOSIS ; BURDEN ; CHINA
资助项目National Natural Science Foundation of China[81900548] ; National Natural Science Foundation of China[82022036] ; National Natural Science Foundation of China[91959130] ; National Natural Science Foundation of China[81971776] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81930053] ; Smart Medical Program of Shanghai Municipal Health Commission[2018ZHYL0204] ; Natural Science Foundation of Shanghai[22015831400] ; Natural Science Foundation of Shanghai[22Y11907500] ; Natural Science Foundation of Shanghai[20DZ1100102] ; Shanghai Municipal Human Resources Development Program for Outstanding Young Talents in Medical and Health Sciences[2018YQ33] ; National Key R&D Program of China[2017YFA0700401] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; Beijing Natural Science Foundation[L182061] ; Beijing Natural Science Foundation[Z20J00105] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB38040200] ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai)[HLHPTP201703] ; Youth Innovation Promotion Association CAS[Y2021049] ; Youth Innovation Promotion Association CAS[2017175]
WOS研究方向Gastroenterology & Hepatology
语种英语
出版者MOSBY-ELSEVIER
WOS记录号WOS:000919644000008
资助机构National Natural Science Foundation of China ; Smart Medical Program of Shanghai Municipal Health Commission ; Natural Science Foundation of Shanghai ; Shanghai Municipal Human Resources Development Program for Outstanding Young Talents in Medical and Health Sciences ; National Key R&D Program of China ; Beijing Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai) ; Youth Innovation Promotion Association CAS
源URL[http://ir.ia.ac.cn/handle/173211/51419]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Hu, Hao
作者单位1.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med & Engn, Beijing, Peoples R China
2.Shigatse Peoples Hosp, Dept Gastroenterol, Shigatse, Peoples R China
3.Shanghai Collaborat Innovat Ctr Endoscopy, Shanghai, Peoples R China
4.Fudan Univ, Zhongshan Hosp, Endoscopy Res Inst, 180 Fenglin Rd, Shanghai 200032, Peoples R China
5.Fudan Univ, Zhongshan Hosp, Endoscopy Ctr, 180 Fenglin Rd, Shanghai 200032, Peoples R China
6.Xi An Jiao Tong Univ, Affiliated Hosp 2, Dept Gastroenterol, Zhangzhou, Peoples R China
7.Xiamen Univ, Affiliated Dongnan Hosp, Dept Gastroenterol, Zhangzhou, Peoples R China
8.Fudan Univ, Zhongshan Hosp, Xiamen Branch, Endoscopy Ctr, Xiamen, Peoples R China
9.1 Hosp Wuhan, Dept Gastroenterol, Wuhan, Peoples R China
10.Shanghai Jiao Tong Univ, Shanghai Childrens Hosp, Dept Gastroenterol Hepatol & Nutr, Shanghai, Peoples R China
推荐引用方式
GB/T 7714		 Gong, Lixin,Wang, Min,Shu, Lei,et al. Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging[J]. GASTROINTESTINAL ENDOSCOPY,2022,96(6):929-+.
APA Gong, Lixin.,Wang, Min.,Shu, Lei.,He, Jie.,Bin Qin.,...&Zhou, Pinghong.(2022).Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging.GASTROINTESTINAL ENDOSCOPY,96(6),929-+.
MLA Gong, Lixin,et al."Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging".GASTROINTESTINAL ENDOSCOPY 96.6(2022):929-+.

入库方式： OAI收割

来源：自动化研究所

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