Radial Artery Thrombus OCT Images and Phenotypes from a Single-Center Registry

Haotian Wang's dataset contains optical coherence tomography (OCT) images and adjudicated phenotypes of radial artery thrombus from 18 patients. The data was collected from a single-center registry between April 2019 and September 2025. It supports a proposed OCT-based classification scheme for thrombus types and their evolution over time.

Use Cases

• Train image classification models to identify radial artery thrombus phenotypes based on OCT features described in the study.
• Analyze the spatial distribution of thrombus types (e.g., Type 2b prevalence from proximal to distal segments) using segment-level labels.
• Model the temporal evolution of thrombus architecture (e.g., Type 1 decrease, Type 3 increase) based on the time since the most recent transradial access.
• Validate the proposed OCT-based phenotyping scheme for radial artery thrombus in new patient cohorts.

Strengths

• Includes adjudicated thrombus phenotypes (Types 1, 2a, 2b, 3) based on prespecified criteria from blinded readers.
• Contains segment-level analysis (proximal, mid, distal) for spatial pattern comparison.
• Data spans a defined time range from April 2019 to September 2025.
• Quantitative thrombus burden metrics (thrombus length, minimal lumen area, area stenosis) are reported.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single-center registry of 18 patients, which may limit generalizability.

Provenance

Source

Author: Haotian Wang. Platform: figshare.

Collection Method

Retrospective analysis of a prospectively maintained, single-center registry of consecutive radial artery OCT performed after OCT-guided coronary intervention.

Time Range

April 2019 to September 2025

Freshness

Last updated 2026-04-14 04:14:25; freshness should be verified.