Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Radiomics algorithms and DL models can effectively diagnose extracranial carotid plaque. However, there are concerns regarding irregularities in research design and the absence of multicenter studies and external validation. Future research should aim to reduce bias risk and enhance the generalizability and clinical orientation of the models.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-01-22
DOI
https://doi.org/10.2196/77092
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
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article

Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Ren Js, Y Wang, Lingjie Ju, R.-Z. Liu et al.
Journal of Medical Internet Research
Cerebrovascular and Carotid Artery Diseases
article

Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Ren Js, Y Wang, Lingjie Ju, R.-Z. Liu, Na Ma, Yongsheng Guo, Haiyong Guo, Siyu Wang
article en

Abstract

Radiomics algorithms and DL models can effectively diagnose extracranial carotid plaque. However, there are concerns regarding irregularities in research design and the absence of multicenter studies and external validation. Future research should aim to reduce bias risk and enhance the generalizability and clinical orientation of the models.

Journal of Medical Internet ResearchVol. 28
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Hospital (CN)
Quality Education
Openalex Percentile: Top 80%
Cerebrovascular and Carotid Artery Diseases
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