人工智能在内镜诊断上消化道早癌领域的研究进展

doi:10.11904/j.issn.1002-3070.2020.05.016

Abstract

Abstract: With the continuous development of deep learning algorithm,the application of artificial intelligence in endoscopic assisted diagnosis has also attracted much attention.It is difficult to dignose upper gastrointestinal tumors under endoscopy in the early stage.New technologies such as computer-aided diagnosis are expected to identify and diagnose early malignant lesions of the upper gastrointestinal tract and its related risk factors.This paper describes the current application and development prospects of artificial intelligence in the field of endoscopic diagnosis for upper gastrointestinal early cancer.

Key words: Artificial intelligence(AI), Upper gastrointestinal early cancer, Endoscope, Computer-aided diagnosis(CAD)

CLC Number:

R735

LI Shuang, JIN Shizhu. Research progress of artificial intelligence in the field of upper gastrointestinal early cancer of endoscopic diagnosis[J]. Journal of Practical Oncology, 2020, 34(5): 471-475.

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://journal09.magtechjournal.com/Jwk3_syzlxzz/EN/10.11904/j.issn.1002-3070.2020.05.016

http://journal09.magtechjournal.com/Jwk3_syzlxzz/EN/Y2020/V34/I5/471

References

1 Esteva A,Kuprel B,Novoa RA,et al.Dermatologist-level classification of skin cancer with deep neural networks[J].Nature,2017,542(7639):115-118.
2 Menon S,Trudgill N.How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis[J].Endosc Int Open,2014,2(2):46-50.
3 Sharma P,Savides TJ,Canto MI,et al.The american society for gastrointestinal endoscopy PIVI(preservation and incorporation of valuable endoscopic innovations)on imaging in Barrett′s esophagus[J].Gastrointest Endosc,2012,76(2):252-254.
4 Sharma P,Hawes RH,Bansal A,et al.Standard endoscopy with random biopsies versus narrow band imaging targeted biopsies in Barrett′s oesophagus:a prospective,international,randomised controlled trial[J].Gut,2013,62(1):15-21.
5 van der Sommen F,Zinger S,Curvers WL,et al.Computer-aided detection of early neoplastic lesions in Barrett′s esophagus[J].Endoscopy,2016,48(7):617-624.
6 Swager AF,van der Sommen F,Klomp SR,et al.Computer-aided detection of early Barrett′s neoplasia using volumetric laser endomicroscopy[J].Gastrointest Endosc,2017,86(5):839-846.
7 Domper Arnal MJ,Ferrández AÁ,Lanas AÁ.Esophageal cancer:Risk factors,screening and endoscopic treatment in Western and Eastern countries[J].World J Gastroenterol,2015,21(26):7933-7943.
8 Shimizu Y,Omori T,Yokoyama A,et al.Endoscopic diagnosis of early squamous neoplasia of the esophagus with iodine staining:high-grade intra-epithelial neoplasia turns pink within a few minutes[J].J Gastroenterol Hepatol,2008,23(4):546-550.
9 Muto M,Minashi K,Yano T,et al.Early detection of superficial squamous cell carcinoma in the head and neck region and esophagus by narrow band imaging:a multicenter randomized controlled trial[J].J Clin Oncol,2010,28(9):1566-1572.
10 Safatle-Ribeiro AV,Baba ER,Faraj SF,et al.Diagnostic accuracy of probe-based confocal laser endomicroscopy in Lugol-unstained esophageal superficial lesions of patients with head and neck cancer[J].Gastrointest Endosc,2017,85(6):1195-1207.
11 Kumagai Y,Kawada K,Higashi M,et al.Endocytoscopic observation of various esophageal lesions at ×600:can nuclear abnormality be recognized?[J].Dis Esophagus,2015,28(3):269-275.
12 Kodashima S,Fujishiro M,Takubo K,et al.Ex vivo pilot study using computed analysis of endo-cytoscopic images to differentiate normal and malignant squamous cell epithelia in the oesophagus[J].Dig Liver Dis,2007,39(8):762-766.
13 Shin D,Protano MA,Polydorides AD,et al.Quantitative analysis of high-resolution microendoscopic images for diagnosis of esophageal squamous cell carcinoma[J].Clin Gastroenterol Hepatol,2015,13(2):272-279.
14 Horie Y,Yoshio T,Aoyama K,et al.Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks[J].Gastrointest Endosc,2019,89(1):25-32.
15 蔡世伦,阿依木克地斯·亚力孔,李染,等.基于深度学习的人工智能辅助诊断在食管早癌中的应用[J].中华消化内镜杂志,2019,36(4):246-250.
16 Kato T,Yagi N,Kamada T,et al.Diagnosis of Helicobacter pylori infection in gastric mucosa by endoscopic features:a multicenter prospective study[J].Dig Endosc,2013,25(5):508-518.
17 Watanabe K,Nagata N,Shimbo T,et al.Accuracy of endoscopic diagnosis of Helicobacter pylori infection according to level of endoscopic experience and the effect of training[J].BMC Gastroenterol,2013,13:128.
18 Huang CR,Sheu BS,Chung PC,et al.Computerized diagnosis of Helicobacter pylori infection and associated gastric inflammation from endoscopic images by refined feature selection using a neural network[J].Endoscopy,2004,36(7):601-608.
19 Shichijo S,Nomura S,Aoyama K,et al.Application of convolutional neural networks in the diagnosis of helicobacter pylori infection based on endoscopic images[J].E Bio Medicine,2017,25:106-111.
20 Nakanishi H,Doyama H,Ishikawa H,et al.Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging:a multicenter randomized controlled study[J].Endoscopy,2017,49(10):957-967.
21 Osawa H,Yamamoto H.Present and future status of flexible spectral imaging color enhancement and blue laser imaging technology[J].Dig Endosc,2014,26(Suppl 1):105-115.
22 Kimura-Tsuchiya R,Dohi O,Fujita Y,et al.Magnifying endoscopy with blue laser imaging improves the microstructure visualization in early gastric cancer:comparison of magnifying endoscopy with narrow-band imaging[J].Gastroenterol Res Pract,2017,2017:8303046.
23 Yoshifuku Y,Sanomura Y,Oka S,et al.Clinical usefulness of the VS classification system using magnifying endoscopy with blue laser imaging for early gastric cancer[J].Gastroenterol Res Pract,2017,2017:3649705.
24 Miyaki R,Yoshida S,Tanaka S,et al.Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement[J].J Gastroenterol Hepatol,2013,28(5):841-847.
25 Miyaki R,Yoshida S,Tanaka S,et al.A computer system to be used with laser-based endoscopy for quantitative diagnosis of early gastric cancer[J].J Clin Gastroenterol,2015,49(2):108-115.
26 Kanesaka T,Lee TC,Uedo N,et al.Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging[J].Gastrointest Endosc,2018,87(5):1339-1344.
27 Hirasawa T,Aoyama K,Tanimoto T,et al.Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images[J].Gastric Cancer,2018,21(4):653-660.
28 Kubota K,Kuroda J,Yoshida M,et al.Medical image analysis:computer-aided diagnosis of gastric cancer invasion on endoscopic images[J].Surg Endosc,2012,26(5):1485-1489.
29 Zhu Y,Wang QC,Xu MD,et al.Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy[J].Gastrointest Endosc,2019,89(4):806-815.
30 Byrne MF,Chapados N,Soudan F,et al.Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model[J].Gut,2019,68(1):94-100.
31 Luo H,Xu G,Li C,et al.Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy:a multicentre,case-control,diagnostic study[J].Lancet Oncol,2019,20(12):1645-1654.
32 Kikuchi D,Hoteya S,Iizuka T,et al.Diagnostic algorithm of magnifying endoscopy with narrow band imaging for superficial non-ampullary duodenal epithelial tumors[J].Dig Endosc,2014,26(Suppl 2):16-22.

[1]	HU Pingping,JIN Chunhui,NI Yiqun,ZHOU Liuyong,WANG Wangsheng,HUANG Xiaona. The endoscope image of duodenum metastasis inpostoperative malignant melanoma of right plantar:a case report [J]. PRACTICAL ONCOLOGY JOURNAL, 2013, 27(2): 165-166.
[2]	SUN Li, ZHANG Xiushi, ZHOU Yang, LIU Lu. The neural network model used for identified benign and malignant of the solitary pulmonary nodules [J]. PRACTICAL ONCOLOGY JOURNAL, 2011, 25(2): 126-128.

Research progress of artificial intelligence in the field of upper gastrointestinal early cancer of endoscopic diagnosis

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments