ArticlePloS one2018
Aortic root evaluation prior to transcatheter aortic valve implantation-Correlation of manual and semi-automatic measurements.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Validation of an Automated Artificial Intelligence-Driven Planner for Transcatheter Aortic Valve Replacement.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026Article
- AI-assisted computed tomography analysis for pre-procedural planning prior to TAVI.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?Physical and engineering sciences in medicine · 2024Article
- Usability and accuracy of two different aortic annulus sizing software programs in patients undergoing transcatheter aortic valve replacement.Journal of cardiovascular imaging · 2024Article
- Preoperative TAVR Planning: How to Do It.Journal of clinical medicine · 2022Review
- Aortography Keypoint Tracking for Transcatheter Aortic Valve Implantation Based on Multi-Task Learning.Frontiers in cardiovascular medicine · 2021Article
- Retrospectively ECG-gated helical vs. non-ECG-synchronized high-pitch CTA of the aortic root for TAVI planning.PloS one · 2020Article
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPre-procedural TAVI planning requires highly sophisticated and time-consuming manual measurements performed by experienced readers. Semi-automatic software may assist with partial automation of assessment of multiple parameters. The aim of this study was to evaluate differences between manual and semi-automatic measurements in terms of agreement and time.
methodsOne hundred and twenty TAVI candidates referred for the retrospectively ECG-gated CTA (2nd and 3rd generation dual source CT) were evaluated. Fully manual and semi-automatic measurements of fourteen aortic root parameters were assessed in the 20% phase of the R-R interval. Reading time was compared using paired samples t-test. Inter-software agreement was calculated using the Intraclass correlation coefficient (ICC) in a 2-way mixed effects model. Differences between manual and semi-automatic measurements were evaluated using Bland-Altman analysis.
resultsThe time needed for evaluation using semi-automatic assessment (3 min 24 s ± 1 min 7 s) was significantly lower (p<0.001) compared to a fully manual approach (6 min 31 sec ± 1 min 1 sec). Excellent inter-software agreement was found (ICC = 0.93 ± 0.0; range:0.90-0.95). The same prosthesis size from manual and semi-automatic measurements was selected in 92% of cases, when sizing was based on annular area. Prosthesis sizing based on annular short diameter and perimeter agreed in 99% and 96% cases, respectively.
conclusionUse of semi-automatic software in pre-TAVI evaluation results in comparable results in respect of measurements and selected valve prosthesis size, while necessary reading time is significantly lower.
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