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Year :2026
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Month :
March-April
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Volume :
15
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Issue :
2
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Page :
RO01 - RO08
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Role of High-resolution Ultrasound in Detecting Carpal Tunnel Syndrome: A Cross-sectional Study
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Correspondence Address :
T Praveen, N Ramakrishna, Phani Chakaravathy, Sireesha Yayareeda, Parvati Ravula,
T Praveen,
610 Emerald Apartments, Punjagutta Officers Colony, Punjagutta, Hyderabad,
Telangana-500082, India.
E-mail: thirumal.praveen1996@gmail.com
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Introduction: Introduction: Carpal Tunnel Syndrome (CTS) is the most common peripheral compressive neuropathy. It is diagnosed using a combination of clinical evaluation and Nerve Conduction Studies (NCS). However, NCS is a time-consuming, painful, and relatively expensive procedure that may not be available in all centres. Compared with NCS, High-Resolution Ultrasound (HRUS) offers several advantages, including being painless, quick, readily available and relatively inexpensive.
Aim: To compare the diagnostic accuracy of various high-resolution ultrasound parameters in the diagnosis of carpal tunnel syndrome and to compare these parameters with those of a healthy population.
Materials and Methods: A cross-sectional study was conducted in the Department of Radiodiagnosis, Nizam’s Institute of Medical Sciences, Hyderabad, Telangana, India, from June 2023 to November 2024. A total of 60 patients with a clinical diagnosis of CTS and 60 healthy individuals were included in the study. Grey-scale and colour Doppler HRUS parameters of the median nerve were measured and compared. The Student’s t-test and Chi-square test were used to compare the diseased and healthy populations. Receiver Operating Characteristic (ROC) curves were used to determine cut-off values, sensitivity, specificity, and the best predictor. A p-value of less than 0.05 was considered statistically significant.
Results: Of the 11 parameters assessed, the Cross-sectional Area (CSA) at the inlet was the best predictor for diagnosing CTS (AUC=F0.911). Using a cut-off value of 10 mm², it demonstrated a sensitivity of 76.6% and a specificity of 96.6%. Among the derived parameters, the wrist-forearm difference was the best predictor (AUC=0.756). Using a cut-off value greater than 2, it showed a specificity of 95% and a sensitivity of 56.67%. The vascularity score demonstrated the highest specificity (100%) and Positive Predictive Value (PPV) (100%). The thickness of the flexor retinaculum showed the highest sensitivity (90%) and Negaitive Predictive Value (NPV) (87.5%). The vascularity score also demonstrated the highest overall diagnostic accuracy (90%).
Conclusion: High-resolution ultrasound is an excellent tool for the diagnosis of carpal tunnel syndrome, offering reliable and accurate results.
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