Evidence map›Paper›PMID 42161030›Full record

ArticleJACC. Advances2026

Prediction of Post-stenting Lumen Dimensions Using High-Definition Intravascular Ultrasound.

Wei Wu, Shijia Zhao, Yash Vardhan Trivedi, Sree Sindhu Vijayarao, Priyansh Patel, Parth Vikram Singh, Varsha Miriyala, Muhammad Fiyaz Alam, Rahul Chikatimalla, Abdulkader Shaar and 5 more

Abstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Wei WuCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Shijia ZhaoCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Yash Vardhan TrivediCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Sree Sindhu VijayaraoCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Priyansh PatelCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Parth Vikram SinghCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Varsha MiriyalaCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Muhammad Fiyaz AlamCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Rahul ChikatimallaCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Abdulkader ShaarCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Yaman IssaCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Changkye LeeCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA.
Emmanouil S BrilakisCenter for Complex Coronary Interventions, Minneapolis Heart Institute, Minneapolis, Minnesota, USA.
George DangasZena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Hospital, New York, New York, USA.
Yiannis S ChatzizisisCenter for Digital Cardiovascular Innovations, Cardiovascular Division, Miller School of Medicine, Miami, Florida, USA. Electronic address: ychatzizisis@icloud.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate prediction of stent-plaque interaction is crucial for optimizing lesion preparation strategies and improving percutaneous coronary intervention outcomes. High-definition intravascular ultrasound (HD IVUS) provides detailed imaging of plaque composition and vessel dimensions, enabling computational modeling to predict post-stenting lumen dimensions.

objectivesThe purpose of this study was to develop and validate a patient-specific HD IVUS-based computational framework for the characterization of coronary plaque components and prediction of post-stenting lumen dimensions.

methodsNine patients underwent HD IVUS and coronary angiography before and after stenting. Using pre-stenting HD IVUS images, plaque components (fibrolipid, fibrous, and calcified tissue) were segmented and reconstructed in 3 dimensions. All procedural steps were simulated computationally, and post-simulation lumen dimensions were compared with the actual post-stenting HD IVUS lumen dimensions.

resultsPredicted and actual lumen dimensions post-stenting demonstrated high agreement. The mean lumen diameter difference was 0.17 mm (+5.5% error), with 95% limits of agreement ranging from -0.26 to 0.60 mm. Agreement was also strong for minimal lumen diameter and minimal in-stent cross-sectional area, with differences of -0.02 mm (95% limits of agreement -0.23 to 0.19 mm) and -0.11 mm

conclusionsWe presented and validated a patient-specific computational simulation framework that uses high-resolution intracoronary imaging of plaque components to precisely predict the lumen dimensions post-stenting.

Indexed as

computational simulationcoronary artery stentinghigh-definition intravascular ultrasoundpatient-specific 3D reconstructionplaque composition

Identifiers

PMID42161030
PMCPMC13217585

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.