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Diagnostic cutoff value for ultrasonography in the ulnar neuropathy at the elbow.

Kim JH, Won SJ, Rhee WI, Park HJ, Hong HM - Ann Rehabil Med (2015)

Bottom Line: Among the variables, only CSA at MS, MS/G, and MS/F displayed significant differences between the control and patient groups.The cutoff value for diagnosing UNE was 8.95 mm(2) for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%).These findings may be helpful to diagnose UNE.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Objective: To determine the diagnostic cutoff values of ultrasonographic measurements in ulnar neuropathy at the elbow (UNE).

Methods: Twenty-five elbows of 23 patients (9 females, 16 males) diagnosed with UNE and 30 elbows of 30 healthy controls (15 females, 15 males) were included in our study. The ulnar nerve cross-sectional area (CSA) was measured at the Guyon canal, midforearm, and maximal swelling point (MS) around the elbow (the cubital tunnel inlet in healthy controls). CSA measurements of the ulnar nerve at each point, the Guyon canal-to-MS ulnar nerve area ratio (MS/G), and the midforearm-to-MS ulnar nerve ratio (MS/F) were calculated.

Results: Among the variables, only CSA at MS, MS/G, and MS/F displayed significant differences between the control and patient groups. The cutoff value for diagnosing UNE was 8.95 mm(2) for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%).

Conclusion: These findings may be helpful to diagnose UNE.

No MeSH data available.


Related in: MedlinePlus

A receiver operator characteristic (ROC) curve showing the relationship between the sensitivity and specificity for each ultrasonographic parameter in the diagnosis of ulnar neuropathy at the elbow. CSA, cross-sectional area; MS, maximal swelling point; MS/G, Guyon canal-to-MS ulnar nerve area ratio; MS/F, midforearm-to-MS ulnar nerve ratio.
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Figure 2: A receiver operator characteristic (ROC) curve showing the relationship between the sensitivity and specificity for each ultrasonographic parameter in the diagnosis of ulnar neuropathy at the elbow. CSA, cross-sectional area; MS, maximal swelling point; MS/G, Guyon canal-to-MS ulnar nerve area ratio; MS/F, midforearm-to-MS ulnar nerve ratio.

Mentions: An ROC analysis was performed to compare the diagnostic sensitivity and specificity of the ultrasonographic measurements and their ratios. The CSA at MS, MS/G, and MS/F had a larger area under the curve, and the cutoff value for diagnosing UNE was 8.95 mm2 for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%) (Table 3, Fig. 2).


Diagnostic cutoff value for ultrasonography in the ulnar neuropathy at the elbow.

Kim JH, Won SJ, Rhee WI, Park HJ, Hong HM - Ann Rehabil Med (2015)

A receiver operator characteristic (ROC) curve showing the relationship between the sensitivity and specificity for each ultrasonographic parameter in the diagnosis of ulnar neuropathy at the elbow. CSA, cross-sectional area; MS, maximal swelling point; MS/G, Guyon canal-to-MS ulnar nerve area ratio; MS/F, midforearm-to-MS ulnar nerve ratio.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4414962&req=5

Figure 2: A receiver operator characteristic (ROC) curve showing the relationship between the sensitivity and specificity for each ultrasonographic parameter in the diagnosis of ulnar neuropathy at the elbow. CSA, cross-sectional area; MS, maximal swelling point; MS/G, Guyon canal-to-MS ulnar nerve area ratio; MS/F, midforearm-to-MS ulnar nerve ratio.
Mentions: An ROC analysis was performed to compare the diagnostic sensitivity and specificity of the ultrasonographic measurements and their ratios. The CSA at MS, MS/G, and MS/F had a larger area under the curve, and the cutoff value for diagnosing UNE was 8.95 mm2 for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%) (Table 3, Fig. 2).

Bottom Line: Among the variables, only CSA at MS, MS/G, and MS/F displayed significant differences between the control and patient groups.The cutoff value for diagnosing UNE was 8.95 mm(2) for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%).These findings may be helpful to diagnose UNE.

View Article: PubMed Central - PubMed

Affiliation: Department of Rehabilitation Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Objective: To determine the diagnostic cutoff values of ultrasonographic measurements in ulnar neuropathy at the elbow (UNE).

Methods: Twenty-five elbows of 23 patients (9 females, 16 males) diagnosed with UNE and 30 elbows of 30 healthy controls (15 females, 15 males) were included in our study. The ulnar nerve cross-sectional area (CSA) was measured at the Guyon canal, midforearm, and maximal swelling point (MS) around the elbow (the cubital tunnel inlet in healthy controls). CSA measurements of the ulnar nerve at each point, the Guyon canal-to-MS ulnar nerve area ratio (MS/G), and the midforearm-to-MS ulnar nerve ratio (MS/F) were calculated.

Results: Among the variables, only CSA at MS, MS/G, and MS/F displayed significant differences between the control and patient groups. The cutoff value for diagnosing UNE was 8.95 mm(2) for the CSA at MS (sensitivity 93.8%, specificity 88.3%), 1.99 for the MS/G (sensitivity 75.0%, specificity 73.3%), and 1.48 for the MS/F (sensitivity 93.8%, specificity 95.0%).

Conclusion: These findings may be helpful to diagnose UNE.

No MeSH data available.


Related in: MedlinePlus