AIMC Topic: Transcatheter Aortic Valve Replacement

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Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

Archives of osteoporosis Jul 17, 2025
UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (43%) of osteoporosis in CT scans obtained for planning of transcatheter aortic valve replacement. Thus, opportunistic screening may be a cost-effectiv...
Humans Artificial Intelligence Algorithms Aged Aged, 80 and over Male Aortic Valve Stenosis Bone Density Osteoporosis Tomography, X-Ray Computed Female Transcatheter Aortic Valve Replacement
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Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

Journal of the American College of Cardiology Jun 27, 2025
The management of multivalvular disease presents increasing challenges in clinical practice caused by complex hemodynamic interactions and limited guideline-based recommendations. As part of the inaugural collaboration between JACC and the Heart Valv...
Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement Humans Aortic Valve Stenosis
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Automated transcatheter heart valve 4DCT-based deformation assessment throughout the cardiac cycle: Towards enhanced long-term durability.

International journal of medical informatics Jun 7, 2025
BACKGROUND: Transcatheter heart valve (THV) durability is a critical concern, and its deformation may influence long-term performance. Current assessments rely on CT-based single-phase measurements and require a tedious analysis process, potentially ...
Aged Heart Valve Prosthesis Humans Aged, 80 and over Transcatheter Aortic Valve Replacement Female Male Four-Dimensional Computed Tomography Aortic Valve
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Transcatheter Aortic Valve Replacement Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Aged, 80 and over Sensitivity and Specificity Male Aortic Valve Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Machine Learning Retrospective Studies Female Aged Humans
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Multimodal Visualization and Explainable Machine Learning-Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study.

Journal of medical Internet research May 1, 2025
BACKGROUND: Currently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter ...
Heart Failure Transcatheter Aortic Valve Replacement Female Aged Aged, 80 and over Male Humans Stroke Volume Machine Learning Risk Assessment Biomarkers Cohort Studies Prognosis Aortic Valve Stenosis
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Transcatheter Aortic Valve Replacement Deep Learning Aortography Aortic Valve Stenosis Reproducibility of Results Aortic Valve Aged Predictive Value of Tests Humans Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Male Retrospective Studies Multidetector Computed Tomography Female Computed Tomography Angiography
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Deep Learning-Based Contrast Boosting in Low-Contrast Media Pre-TAVR CT Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Mar 12, 2025
This study investigates the impact of deep learning-based contrast boosting (DL-CB) on image quality and measurement reliability in low-contrast media (low-CM) CT for pre-transcatheter aortic valve replacement (TAVR) assessment. This retrospective ...
Reproducibility of Results Aged Aged, 80 and over Male Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Transcatheter Aortic Valve Replacement Iopamidol Deep Learning Contrast Media Aortic Valve Stenosis Aortic Valve Humans
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Clinical value of aortic arch morphology in transfemoral TAVR: artificial intelligence evaluation.

International journal of surgery (London, England) Mar 1, 2025
BACKGROUND: The impact of aortic arch (AA) morphology on the management of the procedural details and the clinical outcomes of the transfemoral artery (TF)-transcatheter aortic valve replacement (TAVR) has not been evaluated. The goal of this study w...
Retrospective Studies Female Aged Aged, 80 and over Male Treatment Outcome Aortic Valve Stenosis Humans Artificial Intelligence Aorta, Thoracic Femoral Artery Transcatheter Aortic Valve Replacement
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An Integrative Machine Learning Model for Predicting Early Safety Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation.

Medicina (Kaunas, Lithuania) Feb 21, 2025
: Early safety outcomes following transcatheter aortic valve implantation (TAVI) for severe aortic stenosis are critical for patient prognosis. Accurate prediction of adverse events can enhance patient management and improve outcomes. : This study ai...
Machine Learning Prognosis Retrospective Studies Female Humans Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Postoperative Complications
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review.

International journal of medical informatics Feb 16, 2025
BACKGROUND: Transcatheter aortic valve implantation (TAVI) therapy has demonstrated its clear benefits such as low invasiveness, to treat aortic stenosis. Despite associated benefits, still post-procedural complications might occur. The severity of t...
Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Machine Learning Risk Assessment Treatment Outcome Humans
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