QOCA®-Image Medical Platform - Smart VCF Risk Management System

Compression Fracture Clinical Trial

Official title: Smart Bone: An Intelligent Fracture Risk Capture and Management System

Status Active, not recruiting

Clinical Trial Summary

This project aims to develop and validate an automatic detection and classification system for vertebral compression fractures on computer tomography (CT) images using an artificial intelligence (AI) system (named Smart Bone) by Quanta.

Clinical Trial Description

A computer search of CT scans (2010.01.01-2018.09.30) was performed in Wan Fang Hospital. Those CT images that were retrospectively reviewed by experienced radiologists. The CT scans of 1000-1500 subjects aged 50 and above with and without thoracic or lumbar compression fractures were included in this project for machine learning and deep learning. The control group included those without compression fractures while the patient group were those with compression fractures. Subjects that did not meet the inclusion criteria were excluded.

The cortical layer of the T12-L5 spine images were manually labelled with the labeling software by the the technologists and confirmed the correctness of the image by an experienced radiologist. All the de-linked and completed images were provided to Quanta Computer Inc. for subsequent classification and analysis of AI machines for deep learning to facilitate the development of a system for automatic detection of pressure fractures by CT. This newly developed automatic system will be of valuable clinical impact in assisting radiologists to detect and classify vertebral compression fractures precisely and accurately. ;

Related Conditions & MeSH terms

• Compression Fracture
• Fractures, Compression

• NCT number: NCT04384211
• Study type: Observational
• Source: Taipei Medical University WanFang Hospital
• Status: Active, not recruiting
• Start date: June 1, 2019
• Completion date: May 31, 2021