Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images

Weiwei Wang, Yuanshen Zhao, Lianghong Teng, Jing Yan, Yang Guo, Yuning Qiu, Yuchen Ji, Bin Yu, Dongling Pei, Wenchao Duan, Minkai Wang, Li Wang, Jingxian Duan, Qiuchang Sun, Shengnan Wang, Huanli Duan, Chen Sun, Yu Guo, Lin Luo, Zhixuan Guo, Fangzhan Guan, Zilong Wang, Aoqi Xing, Zhongyi Liu, Hongyan Zhang, Li Cui, Lan Zhang, Guozhong Jiang, Dongming Yan, Xianzhi Liu, Hairong Zheng, Dong Liang, Wencai Li (), Zhi-Cheng Li () and Zhenyu Zhang ()
Additional contact information
Weiwei Wang: The First Affiliated Hospital of Zhengzhou University
Yuanshen Zhao: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Lianghong Teng: Capital Medical University
Jing Yan: The First Affiliated Hospital of Zhengzhou University
Yang Guo: Henan Provincial People’s Hospital
Yuning Qiu: The First Affiliated Hospital of Zhengzhou University
Yuchen Ji: The First Affiliated Hospital of Zhengzhou University
Bin Yu: The First Affiliated Hospital of Zhengzhou University
Dongling Pei: The First Affiliated Hospital of Zhengzhou University
Wenchao Duan: The First Affiliated Hospital of Zhengzhou University
Minkai Wang: The First Affiliated Hospital of Zhengzhou University
Li Wang: The First Affiliated Hospital of Zhengzhou University
Jingxian Duan: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Qiuchang Sun: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Shengnan Wang: Capital Medical University
Huanli Duan: Capital Medical University
Chen Sun: The First Affiliated Hospital of Zhengzhou University
Yu Guo: The First Affiliated Hospital of Zhengzhou University
Lin Luo: The First Affiliated Hospital of Zhengzhou University
Zhixuan Guo: The First Affiliated Hospital of Zhengzhou University
Fangzhan Guan: The First Affiliated Hospital of Zhengzhou University
Zilong Wang: The First Affiliated Hospital of Zhengzhou University
Aoqi Xing: The First Affiliated Hospital of Zhengzhou University
Zhongyi Liu: The First Affiliated Hospital of Zhengzhou University
Hongyan Zhang: The First Affiliated Hospital of Zhengzhou University
Li Cui: The First Affiliated Hospital of Zhengzhou University
Lan Zhang: The First Affiliated Hospital of Zhengzhou University
Guozhong Jiang: The First Affiliated Hospital of Zhengzhou University
Dongming Yan: The First Affiliated Hospital of Zhengzhou University
Xianzhi Liu: The First Affiliated Hospital of Zhengzhou University
Hairong Zheng: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Dong Liang: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Wencai Li: The First Affiliated Hospital of Zhengzhou University
Zhi-Cheng Li: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Zhenyu Zhang: The First Affiliated Hospital of Zhengzhou University

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of great value for glioma diagnosis. This study presents an integrated diagnosis model for automatic classification of diffuse gliomas from annotation-free standard WSIs. Our model is developed on a training cohort (n = 1362) and a validation cohort (n = 340), and tested on an internal testing cohort (n = 289) and two external cohorts (n = 305 and 328, respectively). The model can learn imaging features containing both pathological morphology and underlying biological clues to achieve the integrated diagnosis. Our model achieves high performance with area under receiver operator curve all above 0.90 in classifying major tumor types, in identifying tumor grades within type, and especially in distinguishing tumor genotypes with shared histological features. This integrated diagnosis model has the potential to be used in clinical scenarios for automated and unbiased classification of adult-type diffuse gliomas.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-41195-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41195-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-41195-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().