期刊
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
卷 146, 期 1, 页码 117-122出版社
COLL AMER PATHOLOGISTS
DOI: 10.5858/arpa.2020-0520-OA
关键词
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资金
- Human Tissue Repository and Tissue Analysis Shared Resource - Department of Pathology, The University of New Mexico Compre-hensive Cancer Center
- NCI [2P30CA1181 00]
A convolutional neural network (CNN) can accurately differentiate between autoimmune gastritis and Helicobacter pylori gastritis (HPG), with results consistent with those of gastrointestinal pathologists.
Context.-Pathology studies using convolutional neural networks (CNNs) have focused on neoplasms, while studies in inflammatory pathology are rare. We previously demonstrated a CNN that differentiates reactive gastropathy, Helicobacter pylori gastritis (HPG), and normal gastric mucosa. Objective.-To determine whether a CNN can differentiate the following 2 gastric inflammatory patterns: autoimmune gastritis (AG) and HPG. Design.-Gold standard diagnoses were blindly established by 2 gastrointestinal (GI) pathologists. One hundred eighty-seven cases were scanned for analysis by HALO-AI. All levels and tissue fragments per slide were included for analysis. The cases were randomized, 112 (60%; 60 HPG, 52 AG) in the training set and 75 (40%; 40 HPG, 35 AG) in the test set. A HALO-AI correct area distribution (AD) cutoff of 50% or more was required to credit the CNN with the correct diagnosis. The test set was blindly reviewed by pathologists with different levels of GI pathology expertise as follows: 2 GI pathologists, 2 general surgical pathologists, and 2 residents. Each pathologist rendered their preferred diagnosis, HPG or AG. Results.-At the HALO-AI AD percentage cutoff of 50% or more, the CNN results were 100% concordant with the gold standard diagnoses. On average, autoimmune gastritis cases had 84.7% HALO-AI autoimmune gastritis AD and HP cases had 87.3% HALO-AI HP AD. The GI pathologists, general anatomic pathologists, and residents were on average, 100%, 86%, and 57% concordant with the gold standard diagnoses, respectively. Conclusions.-A CNN can distinguish between cases of HPG and autoimmune gastritis with accuracy equal to GI pathologists.
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