Radial Artery Dissection Incidence and Healing Patterns from OCT Imaging, 2016-2024

A single-center retrospective study of 1,995 patients who underwent transradial coronary intervention between 2016 and 2024. Hao Liu authored this dataset, which uses optical coherence tomography (OCT) to assess the incidence, classification, and healing of radial artery dissections. The data includes findings from a repeat-OCT cohort of 22 patients to analyze vascular remodeling.

Use Cases

• Modeling risk factors for radial artery dissection based on patient demographics and procedural variables mentioned in the description.
• Analyzing healing patterns and vascular remodeling over time based on the repeat-OCT cohort data.
• Classifying dissection subtypes (Type I/II, E1/E2/E3) as defined in the study methodology.

Strengths

• Includes data from 1,995 patients, providing a substantial cohort for analysis.
• Contains longitudinal data from a repeat-OCT cohort of 22 patients with 28 lesions for healing assessment.
• Provides specific incidence rates (13.3%) and lesion subtype frequencies (e.g., Type I–E1 at 33.8%).

Limitations

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

Provenance

Source

figshare, authored by Hao Liu.

Collection Method

Retrospective single-center study using optical coherence tomography (OCT) imaging during coronary interventions.

Time Range

Data collected between 2016 and 2024.

Freshness

Last updated 2026-06-03 13:29:22; freshness should be verified.