Systematic Review Data on Coronary Plaque Radiomics from CCTA Studies

A structured collection of published studies on coronary computed tomography angiography (CCTA) and radiomics for plaque characterization. The dataset includes study metadata, patient cohort information, imaging details, segmentation methodologies, and AI techniques extracted from peer-reviewed literature. It was created by Arosh S. Perera Molligoda Arachchige and last updated on 2026-05-20.

Use Cases

• Comparative analysis of radiomics methodologies based on extracted study design and feature extraction variables.
• Benchmarking of AI models for coronary plaque characterization based on compiled validation methods and outcomes.
• Assessment of reproducibility in cardiovascular imaging workflows based on documented segmentation and validation parameters.
• Development of standardized reporting frameworks for radiomics studies based on the structured collection of methodological variables.

Strengths

• Dataset is structured and curated specifically for evidence synthesis and meta-analysis in a specialized medical field.
• Compiles multiple variable types including methodological, imaging, segmentation, and outcome-related data from the literature.
• Available under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 19.3 KB, indicating a limited scope of compiled records.

Provenance

Source

figshare

Collection Method

Extracted and compiled from peer-reviewed literature as part of a systematic review.

Freshness

Last updated 2026-05-20 21:11:36; freshness should be verified.