Tokyo, Sept. 6 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000059011) titled 'Development of an Automated System for Assessing Risk of Low Back Pain Onset Based on Muscle Brightness in Ultrasound Images Using Deep Learning' on Sept. 5.
Study Type:
Observational
Primary Sponsor:
Institute - Nanto Municipal Hospital
Condition:
Condition - People with back pain, people without back pain
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - Develop an automated system for assessing the risk of developing low back pain based on muscle brightness in ultrasound images utilizing deep learning.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - 18
years-old
Gender - Male and Female
Key inclusion criteria - Individuals aged 18 and older with low back pain, individuals without low back pain
Key exclusion criteria - Individuals experiencing pain that interferes with daily life, individuals with typical physical disabilities such as cerebrovascular disorders or rheumatoid arthritis, individuals with a history of fractures in the lumbar region, pregnant individuals, and individuals with pacemakers
Target Size - 100
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2025 Year 08 Month 01 Day
Anticipated trial start date - 2025 Year 10 Month 01 Day
Last follow-up date - 2027 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067488
Disclaimer: Curated by HT Syndication.
