1. Classification of cardioembolic stroke based on a deep neural network using chest radiographs
- Author
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Han-Gil Jeong, Beom Joon Kim, Tackeun Kim, Jihoon Kang, Jun Yup Kim, Joonghee Kim, Joon-Tae Kim, Jong-Moo Park, Jae Guk Kim, Jeong-Ho Hong, Kyung Bok Lee, Tai Hwan Park, Dae-Hyun Kim, Chang Wan Oh, Moon-Ku Han, and Hee-Joon Bae
- Subjects
Stroke ,Chest radiograph ,Deep learning ,Cardioembolism ,Classification ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Although chest radiographs have not been utilised well for classifying stroke subtypes, they could provide a plethora of information on cardioembolic stroke.This study aimed to develop a deep convolutional neural network that could diagnose cardioembolic stroke based on chest radiographs.Methods: Overall, 4,064 chest radiographs of consecutive patients with acute ischaemic stroke were collected from a prospectively maintained stroke registry. Chest radiographs were randomly partitioned into training/validation (n = 3,255) and internal test (n = 809) datasets in an 8:2 ratio. A densely connected convolutional network (ASTRO-X) was trained to diagnose cardioembolic stroke based on chest radiographs. The performance of ASTRO-X was evaluated using the area under the receiver operating characteristic curve. Gradient-weighted class activation mapping was used to evaluate the region of focus of ASTRO-X. External testing was performed with 750 chest radiographs of patients with acute ischaemic stroke from 7 hospitals.Findings: The areas under the receiver operating characteristic curve of ASTRO-X were 0.86 (95% confidence interval [CI], 0.83–0.89) and 0.82 (95% CI, 0.79–0.85) during the internal and multicentre external testing, respectively. The gradient-weighted class activation map demonstrated that ASTRO-X was focused on the area where the left atrium was located. Compared with cases predicted as non-cardioembolism by ASTRO-X, cases predicted as cardioembolism by ASTRO-X had higher left atrial volume index and lower left ventricular ejection fraction in echocardiography.Interpretation: ASTRO-X, a deep neural network developed to diagnose cardioembolic stroke based on chest radiographs, demonstrated good classification performance and biological plausibility.
- Published
- 2021
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