Osteoporotic Precisely Screening Using Chest Radiograph and Artificial Neural Network (OPSCAN)

N/ACompletedNCT05721157

National Defense Medical Center, Taiwan4,912 enrolled

Overview

Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

SCREENING

Masking

NONE

Enrollment

4,912

Conditions

Osteoporosis Osteoporotic Fractures

Interventions

AI-enabled Chest X-ray-based Screening ToolOTHER

Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-Chest X-ray result was positive or negative.The system will send a message to corresponding physicians if positive finding.

Eligibility

Sex: ALLMin age: 40 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Patients recieved at least 1 chest X-ray examination in 2022 * More than 66% chest X-ray identified as high risk of osteoporosis by AI-CXR Exclusion Criteria: * Patients with history of at least 1 dual energy x-ray absorptiometry (DXA) * Patients with history of osteoporosis or osteoportic fracture * Patients recieved prescription anti-osteoporotic treatment (excluding vitamin D or calcium) * Patients died before 01 Jan 2023

Locations (1)

Tri-service general hospital

Taipei, Taiwan

Outcomes

Primary Outcomes

newly diagnosed with osteoporosis

After performing an chest X-ray, the osteoporosis was followed.

Time frame: Within 180 days

Secondary Outcomes

initiation of DXA examination

After performing an chest X-ray, the osteoporosis was followed.

Time frame: Within 180 days

initiation of anti-osteoporotic treatment

After performing an chest X-ray, the osteoporosis was followed.

Time frame: Within 180 days

Data from ClinicalTrials.gov

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