Tokyo, June 10 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000061844) titled 'Development of an AI-based spinal CT analysis system for identifying optimal puncture points for epidural anesthesia' on June 10.
Study Type:
Observational
Primary Sponsor:
Institute - Yamagata University Faculty of Medicine
Condition:
Condition - None
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - This study aims to develop a system that uses AI to analyze spinal CT images and automatically calculate the location, angle, and area of the puncture window between the vertebral arches that is suitable for epidural anesthesia. As the first step, the study verifies the accuracy of the AI by comparing the puncture window area automatically calculated by the AI at each vertebral level with the area measured manually by pixel-level counting on the same CT image.
Basic objectives2 - Others
Eligibility:
Age-lower limit - 18
years-old
Gender - Male and Female
Key inclusion criteria - Patients aged 18 years or older who have already undergone CT imaging including the spine at Yamagata University Hospital and who have provided written consent to participate in this study
Key exclusion criteria - Cases for which consent was not obtained
Target Size - 1
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2026 Year 05 Month 01 Day
Anticipated trial start date - 2026 Year 06 Month 10 Day
Last follow-up date - 2030 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000070770
Disclaimer: Curated by HT Syndication.
