Deep learning to predict elevated pulmonary artery pressure in patients with suspected pulmonary hypertension using standard chest X ray.

Scientific Reports
Kenya KusunoseMasataka Sata

Abstract

Accurate diagnosis of pulmonary hypertension (PH) is crucial to ensure that patients receive timely treatment. We hypothesized that application of artificial intelligence (AI) to the chest X-ray (CXR) could identify elevated pulmonary artery pressure (PAP) and stratify the risk of heart failure hospitalization with PH. We retrospectively enrolled a total of 900 consecutive patients with suspected PH. We trained a convolutional neural network to identify patients with elevated PAP (> 20 mmHg) as the actual value of PAP. The endpoints in this study were admission or occurrence of heart failure with elevated PAP. In an independent evaluation set for detection of elevated PAP, the area under curve (AUC) by the AI algorithm was significantly higher than the AUC by measurements of CXR images and human observers (0.71 vs. 0.60 and vs. 0.63, all p < 0.05). In patients with AI predicted PH had 2-times the risk of heart failure with PH compared with those without AI predicted PH. This preliminary work suggests that applying AI to the CXR in high risk groups has limited performance when used alone in identifying elevated PAP. We believe that this report can serve as an impetus for a future large study.

References

Jan 13, 2012·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Elena PeñaSusana Hernández Muñiz
Jan 7, 2015·Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography·Roberto M LangJens-Uwe Voigt
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
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Mar 12, 2019·Circulation Journal : Official Journal of the Japanese Circulation Society·Keiichi FukudaUNKNOWN Japanese Circulation Society and the Japanese Pulmonary Circulation and Pulmonary Hypertension Society Joint Working Group
May 20, 2019·JACC. Cardiovascular Imaging·Kenya KusunoseMasataka Sata
Jul 2, 2019·Circulation Journal : Official Journal of the Japanese Circulation Society·Kenya KusunoseMasataka Sata

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Citations

Feb 21, 2021·The Canadian Journal of Cardiology·Yukina HirataMasataka Sata
Jun 26, 2021·Medical Image Analysis·Erdi ÇallıKeelin Murphy
Mar 13, 2021·The Canadian Journal of Cardiology·Akinori Higaki
Mar 17, 2021·The Canadian Journal of Cardiology·Kenya Kusunose

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Methods Mentioned

BETA
X-ray
RAP

Software Mentioned

MedCalc
SPSS
Grad
CAM

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