CRESTomics: Analyzing Carotid Plaques in the CREST-2 Trial with a New Additive Classification Model

Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green +9 more
3/4/2026
cs.LGcs.AIcs.CV

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Abstract

Accurate characterization of carotid plaques is critical for stroke prevention in patients with carotid stenosis. We analyze 500 plaques from CREST-2, a multi-center clinical trial, to identify radiomics-based markers from B-mode ultrasound images linked with high-risk. We propose a new kernel-based additive model, combining coherence loss with group-sparse regularization for nonlinear classification. Group-wise additive effects of each feature group are visualized using partial dependence plots. Results indicate our method accurately and interpretably assesses plaques, revealing a strong association between plaque texture and clinical risk.

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Cite this paper

@article{kulkarni2026crestomics,
  title  = {CRESTomics: Analyzing Carotid Plaques in the CREST-2 Trial with a New Additive Classification Model},
  author = {Pranav Kulkarni and Brajesh K. Lal and Georges Jreij and Sai Vallamchetla and Langford Green and Jenifer Voeks and John Huston and Lloyd Edwards and George Howard and Bradley A. Maron and Thomas G. Brott and James F. Meschia and Florence X. Doo and Heng Huang},
  year   = {2026},
  eprint = {2603.04309},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.04309v1}
}

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