التفاصيل البيبلوغرافية
| العنوان: |
Can Diffusion Tensor Imaging Apparent Diffusion Coefficient Diagnose Carpal Tunnel Syndrome? A Systematic Review and Meta-Analysis |
| المؤلفون: |
Evans, Adam G., Morgan, Maurice D., Aiken, Benjamin A., Assi, Patrick E., Joseph, Jeremy T., Kesayan, Tigran, Mioton, Lauren M., Esteve, Isaac V. M., Hill, J. Bradford, Thayer, Wesley P., Al Kassis, Salam |
| المصدر: |
HAND ; volume 18, issue 1_suppl, page 91S-99S ; ISSN 1558-9447 1558-9455 |
| بيانات النشر: |
SAGE Publications |
| سنة النشر: |
2022 |
| مصطلحات موضوعية: |
Orthopedics and Sports Medicine, Surgery |
| الوصف: |
Magnetic resonance diffusion tensor imaging (DTI) can detect microstructural changes in peripheral nerves. Studies have reported that the median nerve apparent diffusion coefficient (ADC), a quantification of water molecule diffusion direction, is sensitive in diagnosing carpal tunnel syndrome (CTS). Five databases were searched for studies using ADC to investigate CTS. A pparent diffusion coefficient (measured in mm 2 /s) were pooled in random-effects meta-analyses. Twenty-two studies met criteria yielding 592 patients with CTS and 414 controls. Median nerve ADC were measured at the level of the distal radioulnar joint (CTS ADC: 1.11, 95% CI: 1.07-1.15, I 2 = 54%; control ADC: 1.04, 95% CI: 1.01-1.07, I 2 = 57%), pisiform (CTS ADC: 1.39, 95% CI: 1.37-1.42, I 2 = 0%; control ADC: 1.27, 95% CI: 1.23-1.31, I 2 = 59%), hamate (CTS ADC: 1.40, 95% CI: 1.36-1.43, I 2 = 58%; control ADC: 1.27, 95% CI: 1.25-1.28, I 2 = 47%), and as an combination of several measurements (CTS ADC: 1.40, 95% CI: 1.37-1.47, I 2 = 100%; control ADC: 1.39, 95% CI: 1.24-1.53, I 2 = 100%). Median nerve ADC is decreased in individuals with CTS compared to controls at the levels of the hamate and pisiform. ADC cut-offs to diagnose CTS should be established according to these anatomic levels and can be improved through additional studies that include use of a wrist coil. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1177/15589447221096706 |
| الإتاحة: |
https://doi.org/10.1177/15589447221096706Test |
| حقوق: |
http://journals.sagepub.com/page/policies/text-and-data-mining-licenseTest |
| رقم الانضمام: |
edsbas.54363AAF |
| قاعدة البيانات: |
BASE |
