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通过定位辅助评估优化腰椎斜位X线角度以提高成像质量:一项针对亚洲人群的初步研究

Evaluation of Optimized Lumbar Oblique X-Ray Angles with Positioning Assistance for Enhanced Imaging Quality: A Pilot Study in an Asian Cohort.

作者信息

Wang Yu-Li, Su Hsin-Yueeh, Cheng Chao-Min, Lee Kuei-Chen

机构信息

Department of Surgery, Hualien Armed Force General Hospital, Hualien 971, Taiwan.

International Intercollegiate Ph.D. Program, National Tsing Hua University, Hsinchu 300, Taiwan.

出版信息

J Funct Morphol Kinesiol. 2025 Jan 5;10(1):23. doi: 10.3390/jfmk10010023.

DOI:10.3390/jfmk10010023
PMID:39846664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11755554/
Abstract

Pars fractures are a common cause of lower back pain, especially among young individuals. Although computed tomography (CT) and magnetic resonance imaging (MRI) scanning are commonly used in developed regions, traditional radiography remains the main diagnostic method in many developing countries. This study assessed whether the standard radiographic angles suggested in textbooks are optimal for an Asian population since Asian groups have lower lumbar lordosis. This study found a 35° angle to be the most effective angle for lumbar oblique X-ray imaging. Additionally, the potential for a customized positioning auxiliary device was examined to improve image quality and reduce patient discomfort in cost-sensitive healthcare settings like Taiwan's single-payer system. A total of 100 participants underwent lumbar oblique radiography using a specially designed footboard with angle markings. Radiologists evaluated 600 images based on waist-to-hip ratio (WHR) and body mass index to identify the optimal angulation for various body types. For individuals with a WHR of 0.85, a 35° angle provided superior image quality, while 45° was more effective for slimmer patients. This optimized approach indicates the cost-effectiveness and diagnostic value of traditional X-ray imaging. The 35° angulation standardizes lumbar X-ray imaging for an Asian cohort, reducing repeat scans and improving accuracy. Using a positioning device further enhances image quality and patient comfort, supporting the clinical utility of traditional radiography in resource-limited environments.

摘要

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/8d1bb59041e7/jfmk-10-00023-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/8c4f10b9c121/jfmk-10-00023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/ff34f08eb3c2/jfmk-10-00023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/23c681351182/jfmk-10-00023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/34eb1cc8695c/jfmk-10-00023-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/daae684d9d6a/jfmk-10-00023-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/8d1bb59041e7/jfmk-10-00023-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/8c4f10b9c121/jfmk-10-00023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/ff34f08eb3c2/jfmk-10-00023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/23c681351182/jfmk-10-00023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/34eb1cc8695c/jfmk-10-00023-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/daae684d9d6a/jfmk-10-00023-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3be7/11755554/8d1bb59041e7/jfmk-10-00023-g006.jpg

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本文引用的文献

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Spine (Phila Pa 1976). 2024 Jul 15;49(14):979-989. doi: 10.1097/BRS.0000000000004966. Epub 2024 Feb 22.
2
Sagittal spinal alignment varies with an individual's race: results of the multi-ethnic alignment normative study (MEANS).脊柱矢状面排列因个体种族而异:多民族排列规范研究(MEANS)的结果。
Spine Deform. 2023 Nov;11(6):1355-1362. doi: 10.1007/s43390-023-00719-5. Epub 2023 Jul 10.
3
Racial differences in whole-body sagittal alignment between Asians and Caucasians based on international multicenter data.
基于国际多中心数据的亚洲人与高加索人之间全身体矢状面排列的种族差异。
Eur Spine J. 2023 Oct;32(10):3608-3615. doi: 10.1007/s00586-023-07829-8. Epub 2023 Jul 3.
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Reliability Analysis of Vertebral Landmark Labelling on Lumbar Spine X-ray Images.腰椎X线图像上椎体标志标记的可靠性分析
Diagnostics (Basel). 2023 Apr 13;13(8):1411. doi: 10.3390/diagnostics13081411.
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Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.利用深度迁移学习从 X 光图像中检测脊柱侧凸和脊椎滑脱。
PLoS One. 2022 May 2;17(5):e0267851. doi: 10.1371/journal.pone.0267851. eCollection 2022.
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