Comparison of artificial intelligence automated quantification and human visual assessment of calcification and vessel sizing in in-vivo optical coherence tomography images

Comparison of artificial intelligence automated quantification and human visual assessment of calcification and vessel sizing in in-vivo optical coherence tomography images - CONTEST study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000053600

Enrollment

Registered

2024-02-13

Start date

2021-08-23

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Coronary artery disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) All patients should be over 18 years of age. 2) Patients with coronary artery disease must have a clinical indication for percutaneous coronary intervention. 3) Patients treated with OCT-guided PCI.

Exclusion criteria

Exclusion criteria: 1)Ostial left main artery or ostial right coronary artery lesions. 2)Poor pre-OCT images. 3)Lesions which OCT does not cross. 4)Female patients of childbearing potential. 5)Life expectancy less than 12 months.

Design outcomes

Primary

Measure	Time frame
Differences in artificial intelligence and human visual assessment of calcified plaque and vessel size in pre-OCT images	—

Secondary

Measure	Time frame
Comparison of strategies based on artificial intelligence and human visual assessment	—

Countries

Japan

Contacts

Public ContactNaotaka Okamoto

Osaka Rosai Hospital Cardiology

okamo10nao@osakah.johas.go.jp072-252-3561

Outcome results