Journal Article
. 2020 Aug; 11(1):4294.
doi: 10.1038/s41467-020-18147-8.

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Zhigang Song 1 Shuangmei Zou 2 Weixun Zhou 3 Yong Huang 1 Liwei Shao 1 Jing Yuan 1 Xiangnan Gou 1 Wei Jin 1 Zhanbo Wang 1 Xin Chen 1 Xiaohui Ding 1 Jinhong Liu 1 Chunkai Yu 4 Calvin Ku 5 Cancheng Liu 5 Zhuo Sun 5 Gang Xu 5 Yuefeng Wang 5 Xiaoqing Zhang 5 Dandan Wang 6 Shuhao Wang 7 Wei Xu 8 Richard C Davis 9 Huaiyin Shi 10 
Affiliations
  • PMID: 32855423
  •     35 References
  •     16 citations

Abstract

The early detection and accurate histopathological diagnosis of gastric cancer increase the chances of successful treatment. The worldwide shortage of pathologists offers a unique opportunity for the use of artificial intelligence assistance systems to alleviate the workload and increase diagnostic accuracy. Here, we report a clinically applicable system developed at the Chinese PLA General Hospital, China, using a deep convolutional neural network trained with 2,123 pixel-level annotated H&E-stained whole slide images. The model achieves a sensitivity near 100% and an average specificity of 80.6% on a real-world test dataset with 3,212 whole slide images digitalized by three scanners. We show that the system could aid pathologists in improving diagnostic accuracy and preventing misdiagnoses. Moreover, we demonstrate that our system performs robustly with 1,582 whole slide images from two other medical centres. Our study suggests the feasibility and benefits of using histopathological artificial intelligence assistance systems in routine practice scenarios.

Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study).
Sanjay Mukhopadhyay, Michael D Feldman, +31 authors, Clive R Taylor.
Am J Surg Pathol, 2017 Sep 30; 42(1). PMID: 28961557    Free PMC article.
Aggregation of cohorts for histopathological diagnosis with deep morphological analysis.
Jeonghyuk Park, Yul Ri Chung, +5 authors, Kyu-Hwan Jung.
Sci Rep, 2021 Feb 05; 11(1). PMID: 33536550    Free PMC article.
Clinically applicable Gleason grading (GD) system for prostate cancer based on deep learning.
Yun Niu, Can-Cheng Liu, +7 authors, Ding-Rong Zhong.
Chin Med J (Engl), 2020 Nov 13; 134(7). PMID: 33177390    Free PMC article.
Deep learning in histopathology: the path to the clinic.
Jeroen van der Laak, Geert Litjens, Francesco Ciompi.
Nat Med, 2021 May 16; 27(5). PMID: 33990804
Review.
Status quo and future prospects of artificial neural network from the perspective of gastroenterologists.
Bo Cao, Ke-Cheng Zhang, Bo Wei, Lin Chen.
World J Gastroenterol, 2021 Jun 18; 27(21). PMID: 34135549    Free PMC article.
Review.
A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development.
Shiliang Ai, Chen Li, +7 authors, Hong Li.
Biomed Res Int, 2021 Jul 15; 2021. PMID: 34258279    Free PMC article.
Review.
Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images.
Wei Ba, Rui Wang, +8 authors, Chengxin Li.
Transl Oncol, 2021 Jul 01; 14(9). PMID: 34192650    Free PMC article.
Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases.
M Alvaro Berbís, José Aneiros-Fernández, +2 authors, Antonio Luna.
World J Gastroenterol, 2021 Aug 10; 27(27). PMID: 34366612    Free PMC article.
Review.
Deep learning in systems medicine.
Haiying Wang, Estelle Pujos-Guillot, +11 authors, Huiru Zheng.
Brief Bioinform, 2020 Nov 17; 22(2). PMID: 33197934    Free PMC article.
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology.
Nicole Bussola, Bruno Papa, +3 authors, Giuseppe Jurman.
Int J Mol Sci, 2021 Aug 28; 22(16). PMID: 34445517    Free PMC article.
Evaluation of Kidney Histological Images Using Unsupervised Deep Learning.
Noriaki Sato, Eiichiro Uchino, +7 authors, Yasushi Okuno.
Kidney Int Rep, 2021 Sep 14; 6(9). PMID: 34514205    Free PMC article.
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.
Hannah Sophie Muti, Lara Rosaline Heij, +32 authors, Jakob Nikolas Kather.
Lancet Digit Health, 2021 Aug 22; 3(10). PMID: 34417147    Free PMC article.
Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas.
Sebastian Klein, Dan G Duda.
Cancers (Basel), 2021 Oct 14; 13(19). PMID: 34638408    Free PMC article.
Review.
Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma.
Hongyu Chen, Fuhua Lin, +4 authors, Yinsheng Chen.
Front Oncol, 2021 Oct 22; 11. PMID: 34671557    Free PMC article.
Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study.
Yuzhang Tao, Xiao Huang, +16 authors, Jian Zhang.
Front Oncol, 2021 Oct 26; 11. PMID: 34692509    Free PMC article.
Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study.
Binglu Huang, Shan Tian, +13 authors, Weiguo Dong.
EBioMedicine, 2021 Oct 23; 73. PMID: 34678610    Free PMC article.
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides.
Feng Xu, Chuang Zhu, +7 authors, Mulan Jin.
Front Oncol, 2021 Nov 02; 11. PMID: 34722313    Free PMC article.