US and Shear Wave Elastography in Cubital Tunnel Syndrome
NCT ID: NCT06090877
Last Updated: 2023-10-19
Study Results
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Basic Information
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UNKNOWN
50 participants
OBSERVATIONAL
2023-11-01
2025-06-01
Brief Summary
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Detailed Description
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Cubital tunnel syndrome (CuTS) is a common nerve entrapment syndrome of the upper extremity, caused by compression of the ulnar nerve at the cubital tunnel of the elbow.
The presentation of cubital tunnel syndrome varies, ranging from mild sensory symptoms to debilitating functional loss.
Typical CuTS symptoms include numbness, tingling, and dysesthesia in the ring, small finger and dorsum of the hand. As the disease progresses, atrophy of the hypothenar and first dorsal interosseous muscles occurs, which may interfere with daily activities. CuTS is likelier to be at an advanced stage at the time of intervention than carpal tunnel syndrome (CTS). Therefore, early diagnosis and treatment are important.
Also, due to anatomic variations, a broad spectrum of differential diagnosis, and miscellaneous clinical presentations, the clinical diagnosis is often far from straightforward. If not treated timely and adequately, CuTS can progress to persistent impairment of sensation, paresis, and joint contracture.
This condition is typically diagnosed using patient's history, physical examination, and electrodiagnostic studies. However, because CuTS has a variety of clinical characteristics, it is difficult to differentiate it from other diseases that can affect the elbow joint based on clinical presentation and an electrodiagnostic study.
Electroneuromyography (ENMG) is the gold standard examination in CuTS, but sheds no light on etiology.
Although an electrodiagnostic study is considered the most important diagnostic test for CuTS, it has some critical drawbacks. It is time-consuming, causing pain and injury to patients due to needle insertion and electrical stimulation, provides limited information regarding lesion localization and structural abnormalities, and carries a strong possibility of false negative results.
Thus, complementary imaging studies such as magnetic resonance or high resolution ultrasound (HRU) imaging are required for the diagnosis of various neuropathies. Ultrasound imaging in particular supports the diagnosis of neuropathy by providing superior spatial resolution of small peripheral nerves, allowing for dynamic evaluation and detailed information regarding lesion localization in addition to advantages of being fast, cheap, non invasive and painless procedure.
Moreover, as a recently-developed ultrasound imaging technology, shear-wave elastography (SWE) has the potential to provide quantitative values for the soft tissue stiffness of tissues, including the muscle, tendon, joint capsule, benign soft tissue mass, and nerves, and to improve the diagnostic performance of ultrasound imaging for various nerve neuropathies.
SWE is also an advanced quantitative ultrasound technique that can be used to evaluate soft tissue elasticity. In compressive neuropathy, a higher pressure within the canal could cause ischemia, edema, inflammation, and finally fibrosis in the intraneural space and the synovium. All of these changes to the compressed nerve may result in increased nerve stiffness. Therefore, SWE could be a valuable complement in the diagnosis of compressive neuropathy.
So, SWE seems to be a new, reliable, and simple quantitative diagnostic technique to aid in the precise diagnosis of ulnar neuropathy at the cubital tunnel, and HRU proved to be an effective diagnostic tool for CuTS and its etiologies
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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US and shear wave elstography
using B mode US to assess ulnar nerve echogenicity, measuring its cross sectional area and assess any other anatomical abnormalites Measuring ulnar nerve stiffness using shear wave elastography All measurements done at the cubital tunnel, 2 cm proximal and distal to it compare findings with electrodiagnostic studies and intra operative findings
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Refuse to do surgery when indicated
10 Years
75 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Eman Sayed Abdul Monem
dr
Central Contacts
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References
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Shinohara I, Inui A, Mifune Y, Nishimoto H, Yamaura K, Mukohara S, Yoshikawa T, Kato T, Furukawa T, Hoshino Y, Matsushita T, Kuroda R. Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images. Diagnostics (Basel). 2022 Mar 4;12(3):632. doi: 10.3390/diagnostics12030632.
Power HA, Peters BR, Patterson JMM, Padovano WM, Mackinnon SE. Classifying the Severity of Cubital Tunnel Syndrome: A Preoperative Grading System Incorporating Electrodiagnostic Parameters. Plast Reconstr Surg. 2022 Jul 1;150(1):115e-126e. doi: 10.1097/PRS.0000000000009255. Epub 2022 May 10.
Mezian K, Jacisko J, Kaiser R, Machac S, Steyerova P, Sobotova K, Angerova Y, Nanka O. Ulnar Neuropathy at the Elbow: From Ultrasound Scanning to Treatment. Front Neurol. 2021 May 14;12:661441. doi: 10.3389/fneur.2021.661441. eCollection 2021.
Kim S, Lee GY. Evaluation of the ulnar nerve with shear-wave elastography: a potential sonographic method for the diagnosis of ulnar neuropathy. Ultrasonography. 2021 Jul;40(3):349-356. doi: 10.14366/usg.20101. Epub 2020 Aug 23.
Rempel DM, Diao E. Entrapment neuropathies: pathophysiology and pathogenesis. J Electromyogr Kinesiol. 2004 Feb;14(1):71-5. doi: 10.1016/j.jelekin.2003.09.009.
Qing C, Zhang J, Wu S, Ling Z, Wang S, Li H, Li H. Clinical classification and treatment of cubital tunnel syndrome. Exp Ther Med. 2014 Nov;8(5):1365-1370. doi: 10.3892/etm.2014.1983. Epub 2014 Sep 22.
Other Identifiers
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US in cubital tunnel syndrome
Identifier Type: -
Identifier Source: org_study_id
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