Hand Dexterity Recovery Capacity for Degenerative Cervical Myelopathy With Varying Levels of Impairment: A Prospective 1-Year Follow-Up Study.

Objective: This study aimed to elucidate the hand function recovery capacity of Degenerative Cervical Myelopathy (DCM) patients with different severities of hand dexterity impairment.

Methods: Hand functional outcome measures such as the 10s-G&R test, modified Japanese Orthopedic Association (mJOA) upper extremity score and Japanese Orthopaedic Association Cervical Myelopathy Evaluation Questionnaire (JOACMEQ) Upper Extremity Function were collected before surgery and at the 1-year follow-up. A total of 102 DCM patients were categorized into Mild, Moderate and Severe group based on the preoperative 10s-G&R test result.

Deep Learning-Enhanced Hand Grip and Release Test for Degenerative Cervical Myelopathy: Shortening Assessment Duration to 6 Seconds.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test.

Classifying Hand Dexterity Impairment in Degenerative Cervical Myelopathy With 10-Second Grip and Release Test.

Study Design: Diagnostic accuracy study with prospectively collected data.

Objective: This study aimed to establish optimal cutoff values for the 10-second grip and release (10s-G&R) Test to distinguish between mild, moderate, and severe levels of hand dexterity impairment in patients with degenerative cervical myelopathy (DCM).

Background: The 10s-G&R test is widely utilized to assess hand function in DCM patients.