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Radiomics in Carotid Plaque: A Systematic Review and Radiomics Quality Score Assessment.

Chao Hou1, Xin-Yao Liu2, Yue Du2

  • 1Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Ultrasound in Medicine & Biology
|September 17, 2023
PubMed
Summary
This summary is machine-generated.

Radiomics models show promise in predicting carotid plaque instability and cardiovascular outcomes, achieving a high average AUC of 0.88. However, methodological quality of radiomics reports needs improvement for clinical reliability.

Keywords:
Carotid arteryPlaqueRadiomicsRadiomics quality scoreSystematic review

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Cardiovascular Disease

Background:

  • Current imaging modalities for carotid plaque offer limited microscopic detail and are operator-dependent.
  • Radiomics models are emerging as tools to analyze plaque morphology and predict cardiovascular outcomes.
  • This systematic review evaluates the reliability and reproducibility of radiomics for clinical carotid plaque prediction.

Approach:

  • A systematic literature search was performed on PubMed and Cochrane Library (2001-2022).
  • Included studies developed or validated machine learning radiomics models for carotid plaque classification or prediction.
  • Methodological quality and risk of bias were assessed using the Radiomics Quality Score (RQS) and QUADAS-2 tools.

Key Points:

  • 16 studies including 2429 patients were analyzed.
  • Radiomics models demonstrated a mean Area Under the Curve (AUC) of 0.88 ± 0.02 for diagnostic/predictive performance.
  • The mean Radiomics Quality Score (RQS) was 9.25, indicating low methodological quality (25.7% of maximum).

Conclusions:

  • Radiomics models can provide valuable information for patients with carotid plaque.
  • Significant challenges remain regarding the methodological quality and standardization of radiomics reports.
  • Further development is needed to overcome current hurdles and establish radiomics as a reliable clinical tool.