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. 2024;12(11-12):113-120.
doi: 10.1007/s40134-024-00431-w. Epub 2024 Oct 10.

The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement

Shawn Sun  1 , Leslie Yeh  2 , Amir Imanzadeh  1 , Soheil Kooraki  3 , Arash Kheradvar  4 , Arash Bedayat  3
Affiliations

The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement

Shawn Sun et al. Curr Radiol Rep. 2024.

Abstract

Purpose: This review explores the current landscape of AI applications in imaging for TAVR, emphasizing the potential and limitations of these tools for (1) automating the image analysis and reporting process, (2) improving procedural planning, and (3) offering additional insight into post-TAVR outcomes. Finally, the direction of future research necessary to bridge these tools towards clinical integration is discussed.

Recent findings: Transcatheter aortic valve replacement (TAVR) has become a pivotal treatment option for select patients with severe aortic stenosis, and its indication for use continues to broaden. Noninvasive imaging techniques such as CTA and MRA have become routine for patient selection, preprocedural planning, and predicting the risk of complications. As the current methods for pre-TAVR image analysis are labor-intensive and have significant inter-operator variability, experts are looking towards artificial intelligence (AI) as a potential solution.

Summary: AI has the potential to significantly enhance the planning, execution, and post-procedural follow up of TAVR. While AI tools are promising, the irreplaceable value of nuanced clinical judgment by skilled physician teams must not be overlooked. With continued research, collaboration, and careful implementation, AI can become an integral part in imaging for TAVR, ultimately improving patient care and outcomes.

Keywords: Artificial intelligence (AI); Computed tomography (CT); Transcatheter aortic valve replacement (TAVR).

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Conflict of interest statement

Conflict of interest The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
A representative sample of common preprocedural CTA TAVR measurements commonly performed for operative planning and valve selection. A Multiplanar double oblique images of the aortic root along the long axis (A1) with levels (solid lines) corresponding to the true short axis views of the aortic annulus (A2), sinotubular junction (A3), and Sinuses of Valsalva (A4). B Measurement of the coronary ostia height of the left main coronary artery at the takeoff from the left coronary cusp (arrow) as seen on the longitudinal (B1) and the short axis (B2) views. C Measurement of the coronary ostia height of the right coronary artery at the takeoff from the right coronary cusp (arrow) as seen on the longitudinal (C1) and the short axis (C2) views
See this image and copyright information in PMC

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