Cited 2 times in

Effect of multimodal diagnostic approach using deep learning-based automated detection algorithm for active pulmonary tuberculosis

Authors
 So Yeon Choi  ;  Arom Choi  ;  Song-Ee Baek  ;  Jin Young Ahn  ;  Yun Ho Roh  ;  Ji Hoon Kim 
Citation
 SCIENTIFIC REPORTS, Vol.13(1) : 19794, 2023-11 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2023-11
MeSH
Adult ; Algorithms ; Deep Learning* ; Humans ; Lung ; Radiography, Thoracic / methods ; Retrospective Studies ; Sensitivity and Specificity ; Tuberculosis, Pulmonary* / diagnostic imaging
Abstract
In this study, we developed a model to predict culture test results for pulmonary tuberculosis (PTB) with a customized multimodal approach and evaluated its performance in different clinical settings. Moreover, we investigated potential performance improvements by combining this approach with deep learning-based automated detection algorithms (DLADs). This retrospective observational study enrolled patients over 18 years of age who consecutively visited the level 1 emergency department and underwent chest radiograph and sputum testing. The primary endpoint was positive sputum culture for PTB. We compared the performance of the diagnostic models by replacing radiologists’ interpretations of chest radiographs with screening scores calculated through DLAD. The optimal diagnostic model had an area under the receiver operating characteristic curve of 0.924 (95% CI 0.871–0.976) and an area under precision recall curve of 0.403 (95% CI 0.195–0.580) while maintaining a specificity of 81.4% when sensitivity was fixed at 90%. Multicomponent models showed improved performance for detecting PTB when chest radiography interpretation was replaced by DLAD. Multicomponent diagnostic models with DLAD customized for different clinical settings are more practical than traditional methods for detecting patients with PTB. This novel diagnostic approach may help prevent the spread of PTB and optimize healthcare resource utilization in resource-limited clinical settings. © 2023, The Author(s).
Files in This Item:
T202400716.pdf Download
DOI
10.1038/s41598-023-47146-0
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Emergency Medicine (응급의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Ji Hoon(김지훈) ORCID logo https://orcid.org/0000-0002-0070-9568
Roh, Yun Ho(노윤호)
Baek, Song Ee(백송이) ORCID logo https://orcid.org/0000-0001-8146-2570
Ahn, Jin Young(안진영) ORCID logo https://orcid.org/0000-0002-3740-2826
Choi, So Yeon(최소연)
Choi, Arom(최아롬)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197991
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