Preclinical Validation of Automatic Mitral Valve Segmentation and Measurement Technology for Planning Transcatheter Edge-to-edge Valve Repair Using Computed Tomography

Michael Huy Cuong Pham, Klaus Fuglsang Kofoed, James V. Chapman, Ole de Backer, Jesper J. Linde, Lars V. Køber, Gakuto Aoyama, Keitaro Kawashima and Takuya Sakaguchi Mitral regurgitation (MR) is one of the most common valvular heart diseases, though many patients with severe MR are unsuitable for surgical interventions. Transcatheter edge-to-edge repair (TEER) is an established non-surgical procedure that allows safe and effective reduction of MR in highrisk patients. Appropriate patient selection is critical and achieved through clinical assessment and imaging derived measurement of the mitral valve (MV) apparatus to optimize procedural success.

Publication Details

Journal
Journal of Medical Imaging and Case Reports
Published
2025-03-21
DOI
https://doi.org/10.17756/micr.2025-114
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
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article

Preclinical Validation of Automatic Mitral Valve Segmentation and Measurement Technology for Planning Transcatheter Edge-to-edge Valve Repair Using Computed Tomography

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Journal of Medical Imaging and Case Reports
Cardiac Imaging and Diagnostics
article

Preclinical Validation of Automatic Mitral Valve Segmentation and Measurement Technology for Planning Transcatheter Edge-to-edge Valve Repair Using Computed Tomography

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Abstract

Michael Huy Cuong Pham, Klaus Fuglsang Kofoed, James V. Chapman, Ole de Backer, Jesper J. Linde, Lars V. Køber, Gakuto Aoyama, Keitaro Kawashima and Takuya Sakaguchi Mitral regurgitation (MR) is one of the most common valvular heart diseases, though many patients with severe MR are unsuitable for surgical interventions. Transcatheter edge-to-edge repair (TEER) is an established non-surgical procedure that allows safe and effective reduction of MR in highrisk patients. Appropriate patient selection is critical and achieved through clinical assessment and imaging derived measurement of the mitral valve (MV) apparatus to optimize procedural success.

Journal of Medical Imaging and Case ReportsVol. 9(1)
Openalex Percentile: Top 91%
Cardiac Imaging and Diagnostics
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