I read the letter by Higaki with great interest, and I thank him for his insightful
comments on our study. Because treatments for pulmonary arterial hypertension (PAH)
will not help and may even harm patients that do not have PAH,
1
we agree with Higaki that it is important to differentiate between pulmonary hypertension
(PH) caused by left-heart disease and PAH. Pulmonary vascular resistance (PVR) is
essential for the definition of pre- or postcapillary PH. PVR is calculated by subtracting
the left-atrial pressure (≈pulmonary artery wedge pressure: PAWP) from the mean pulmonary
artery pressure, divided by the cardiac output. Thus, cardiac output is necessary
to assess the type of PH in clinical practice, but our 2 studies did not assess cardiac
output using artificial intelligence (AI) models.
2
,3
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References
- Guidelines for the treatment of pulmonary hypertension (JCS 2017/JPCPHS 2017).Circ J. 2019; 83: 842-945
- Deep learning to predict elevated pulmonary artery pressure in patients with suspected pulmonary hypertension using standard chest x ray.Sci Rep. 2020; 10: 19311
- Deep learning for detection of elevated pulmonary artery wedge pressure using standard chest x-ray.Can J Cardiol. 2021; 37: 1198-1206
- Utilization of artificial intelligence in echocardiography.Circ J. 2019; 83: 1623-1629
Article info
Publication history
Published online: March 12, 2021
Accepted:
March 7,
2021
Received:
March 5,
2021
Identification
Copyright
© 2021 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.
ScienceDirect
Access this article on ScienceDirectLinked Article
- Can Artificial Intelligence Substitute Right-Heart Catheterization With Chest X-Rays?Canadian Journal of CardiologyVol. 37Issue 8
- PreviewI read, with great interest, the article by Hirata et al., which reported on the prediction method for elevated pulmonary artery wedge pressure (PAWP) through chest x-rays, using deep learning (DL).1 Their model achieved significantly higher predictive performance over the traditional radiographic parameter—cardiothoracic ratio—for heart failure. The availability of noninvasive assessment of circulatory dynamics will be a preferred method as the use of machine intelligence becomes more widespread.
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