Research on Predicting Coronary Heart Disease Risk in Postmenopausal Osteoporotic Patients Based on CT Radiomics Combined with Machine Learning Algorithms

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2500111753

Enrollment

Unknown

Registered

2025-11-05

Start date

2025-10-31

Completion date

Unknown

Last updated

2025-11-11

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

Conditions

Coronary Heart Disease

Interventions

Gold Standard:Coronary heart disease was defined as a luminal stenosis >= 50% in at least one of the following major coronary arteries: the left main artery, left anterior descending artery, left circ

Index test:The large AI model generates diagnostic results by evaluating both semantic and image information.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Postmenopausal women with osteoporosis. 2. Patients with complete data on bone mineral density (BMD), CT images, and either coronary angiography (DSA) or coronary CT angiography (CCTA).

Exclusion criteria

Exclusion criteria: 1. Abnormal liver function or impaired renal function; 2. Patients with diseases affecting bone metabolism, such as rheumatoid arthritis, ankylosing spondylitis, hyperparathyroidism, hypoparathyroidism, hyperthyroidism, or hypercortisolism; 3. Patients taking medications that influence bone metabolism, including bisphosphonates, calcitonin, selective estrogen receptor modulators (SERM), estrogen, glucocorticoids, teriparatide, or antitumor drugs; 4. Severe artifacts in CT images.

Design outcomes

Primary

Measure	Time frame
diagnostic sensitivity;	—

Secondary

Measure	Time frame
Receiver Operating Characteristic Curve;	—

Countries

China

Contacts

Public ContactQiu Yuyou

Shanghai Tenth People's Hospital

2kevinqyy@tongji.edu.cn+86 139 1727 7240

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026