Revascularization of Calcified Coronary Arteries

Percutaneous Coronary Intervention of Calcified Lesions and the Use of Artificial Intelligence to Predict Successful Outcome

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07724184

Acronym

PICA

Enrollment

100

Registered

2026-07-23

Start date

2025-03-01

Completion date

2030-05-01

Last updated

2026-07-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary Arterial Disease (CAD), Ischemic Heart Disease (IHD), Percutaneous Coronary Intervention (PCI)

Brief summary

The primary aim of this study is to evaluate changes in absolute coronary flow and pressure before and after percutaneous coronary intervention in calcified lesions. The secondary aim is to use a machine learning model to predict the outcome of the intervention.

Interventions

DIAGNOSTIC_TESTMeasurement of coronary flow and pressure

The pressure and flow data will be integrated in a machine learning model

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 90 Years

Healthy volunteers

Inclusion criteria

* Age \> 18 years * Moderate (40-90 %) epicardial disease * Vessel suitable for PCI and intracoronary imaging * De novo-lesions

Exclusion criteria

* eGFR \< 40ml/min * ACS \< 48 hours * Patient without ability to provide informed consent * Patient with left main stenosis * Indication for coronary artery bypass grafting

Design outcomes

Primary

Measure	Time frame	Description
Post-PCI FFR	Immediately after the procedure	FFR is measured after PCI is completed.

Countries

Denmark

Contacts

CONTACTAshkan Eftekhari, MD PhD

asef@rn.dk+4597664465

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 24, 2026