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基于数字标记的X线图像在脊柱推拿疗法中诊断腰椎错位的研究

A Study on the Diagnosis of Lumbar Spinal Malposition in Chuna Manual Therapy Using X-Ray Images Based on Digital Markers.

作者信息

Ju Min-Su, Park Tae-Yong, Choi Minho, Ko Younseok, Na Young Cheol, Jeong Yeong Ha, Jang Jun-Su, Lee Jin-Hyun

机构信息

Department of Rehabilitation Medicine of Korean Medicine, Woosuk University Korean Medicine Hospital, 46 Eoeun-ro, Wansan-gu, Jeonju-si 54987, Republic of Korea.

Institute for Integrative Medicine, Catholic Kwandong University International St. Mary's Hospital, 25 Simgok-ro 100 beon-gil, Seo-gu, Incheon 22711, Republic of Korea.

出版信息

Diagnostics (Basel). 2025 Jul 10;15(14):1748. doi: 10.3390/diagnostics15141748.

Abstract

This study aimed to evaluate digital markers and establish quantitative diagnostic criteria for spinal malpositions in Chuna manual therapy using lumbar X-rays. A total of 2000 X-ray images were collected from adult patients at the International St. Mary's Hospital of Catholic Kwandong University. Five Chuna manual medicine experts annotated anatomical landmarks using a digital marker labeling program and diagnosed three types of spinal malpositions: flexion/extension, lateral bending, and rotation. Diagnostic accuracy was evaluated using weighted F1 (F1_W) scores, and the optimal threshold values for each malposition type were determined based on maximum F1_W performance. The results showed high diagnostic performance, with average maximum F1_W scores of 0.76 for flexion/extension, 0.85 for lateral bending, and 0.71 for rotation. Based on this analysis, threshold angles for each type of spinal malposition in Chuna manual diagnosis were determined. This study demonstrates the diagnostic validity of digital marker-based X-ray analysis in Chuna manual therapy and is the first to propose quantitative diagnostic thresholds for spinal malpositions. These findings may serve as a foundation for clinical application in spinal assessment and treatment planning, with further validation studies warranted.

摘要

本研究旨在评估数字标记,并利用腰椎X线片为脊柱推拿疗法中的脊柱错位建立定量诊断标准。从关东天主教大学国际圣玛丽医院的成年患者中总共收集了2000张X线图像。五位脊柱推拿医学专家使用数字标记标注程序标注了解剖标志,并诊断了三种类型的脊柱错位:屈伸、侧弯和旋转。使用加权F1(F1_W)分数评估诊断准确性,并根据最大F1_W表现确定每种错位类型的最佳阈值。结果显示出较高的诊断性能,屈伸的平均最大F1_W分数为0.76,侧弯为0.85,旋转为0.71。基于此分析,确定了脊柱推拿诊断中每种类型脊柱错位的阈值角度。本研究证明了基于数字标记的X线分析在脊柱推拿疗法中的诊断有效性,并且首次提出了脊柱错位的定量诊断阈值。这些发现可为脊柱评估和治疗计划的临床应用奠定基础,还需要进一步的验证研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15c/12293895/34cd44212d17/diagnostics-15-01748-g001.jpg

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