Validation of an Automated Cardiothoracic Ratio Calculation for Hemodialysis Patients

doi:10.3390/diagnostics13081376

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Title:	Validation of an Automated Cardiothoracic Ratio Calculation for Hemodialysis Patients
Authors:	Chou, Hsin-Hsu Lin, Jin-Yi Shen, Guan-Ting Huang, Chih-Yuan
Contributors:	Yi Christian Hosp, Ditmanson Med Fdn Chia, Dept Pediat Asia Univ, Dept Bioinformat & Med Engn Yi Christian Hosp, Ditmanson Med Fdn Chia, Innovat & Incubat Ctr Yi Christian Hosp, Ditmanson Med Fdn Chia, Dept Internal Med, Div Nephrol Chia Nan Univ Pharm & Sci, Coll Recreat & Hlth Management, Dept Sport Management
Keywords:	cardiothoracic ratio (CTR) U-Net deep learning hemodialysis chest X-ray
Date:	2023
Issue Date:	2024-12-25 11:03:53 (UTC+8)
Publisher:	MDPI
Abstract:	Cardiomegaly is associated with poor clinical outcomes and is assessed by routine monitoring of the cardiothoracic ratio (CTR) from chest X-rays (CXRs). Judgment of the margins of the heart and lungs is subjective and may vary between different operators. Methods: Patients aged > 19 years in our hemodialysis unit from March 2021 to October 2021 were enrolled. The borders of the lungs and heart on CXRs were labeled by two nephrologists as the ground truth (nephrologist-defined mask). We implemented AlbuNet-34, a U-Net variant, to predict the heart and lung margins from CXR images and to automatically calculate the CTRs. Results: The coefficient of determination (R-2) obtained using the neural network model was 0.96, compared with an R-2 of 0.90 obtained by nurse practitioners. The mean difference between the CTRs calculated by the nurse practitioners and senior nephrologists was 1.52 +/- 1.46%, and that between the neural network model and the nephrologists was 0.83 +/- 0.87% (p < 0.001). The mean CTR calculation duration was 85 s using the manual method and less than 2 s using the automated method (p < 0.001). Conclusions: Our study confirmed the validity of automated CTR calculations. By achieving high accuracy and saving time, our model can be implemented in clinical practice.
Relation:	Diagnostics, v.13, n.8, Article 1376
Appears in Collections:	[Offices] 456

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