Color and power Doppler US for diagnosing carpal tunnel syndrome and determining its severity: a quantitative image processing method.
Purpose: To determine whether intraneural vascularity seen at color Doppler ultrasonography (US) can be used to diagnose carpal tunnel syndrome (CTS) and to evaluate an image processing method for quantifying the severity of CTS on the basis of this vascularity. Materials and Methods: This study was...
| Publicado en: | Radiology Vol. 261; no. 2; pp. 499 - 507 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wolters Kluwer Health
2011 Nov
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108197950&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 108197950 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338419 0IQ jtl: Radiology issn: 00338419 maglogo: N pubinfo: dt: 2011 Nov vid: 261 iid: 2 pid: 79357 pub: Wolters Kluwer Health place: New York, New York artinfo: ui: 108197950 108197950 NLM21900619 2011328600 10.1148/radiol.11110150 NLM21900619 108197950 ppf: 499 ppct: 8 formats: tig: atl: Color and power Doppler US for diagnosing carpal tunnel syndrome and determining its severity: a quantitative image processing method. aug: au: Ghasemi-Esfe AR Khalilzadeh O Vaziri-Bozorg SM Jajroudi M Shakiba M Mazloumi M Rahmani M Ghasemi-Esfe, Ahmad Reza Khalilzadeh, Omid Vaziri-Bozorg, Seyed Mehran Jajroudi, Mahdie Shakiba, Madjid Mazloumi, Mehdi Rahmani, Maryam affil: Advanced Diagnostic and Interventional Radiology Research Center, Imam Hospital, Tehran University of Medical Sciences, Keshavarz Blvd, Tehran 13145-784, Iran sug: subj: Carpal Tunnel Syndrome Ultrasonography Image Interpretation, Computer Assisted Median Nerve Blood Supply Median Nerve Ultrasonography Ultrasonography, Doppler Methods Adult Aged Case Control Studies Cross Sectional Studies Electrodiagnosis Female Male Middle Age Sensitivity and Specificity Severity of Illness Indices Ultrasonography, Doppler, Color Human Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Purpose: To determine whether intraneural vascularity seen at color Doppler ultrasonography (US) can be used to diagnose carpal tunnel syndrome (CTS) and to evaluate an image processing method for quantifying the severity of CTS on the basis of this vascularity. Materials and Methods: This study was approved by the university ethics review committee. One hundred one patients with clinical evidence of CTS and 55 healthy control subjects were enrolled. Electrodiagnostic testing (EDT) was performed in all participants, and the presence of intraneural vascularity was evaluated with color Doppler US. An image processing program was designed by using software to determine the sum of pixels in the intraneural vascular area on power Doppler US scans of the median nerve. The relationship between the number of pixels and the severity of the abnormality at EDT was determined. Results: The sensitivity (83%) and specificity (89%) of intraneural vascularity in the diagnosis of CTS were similar to those of EDT (81% and 84%, respectively). Intraneural vascularity was seen in 91.4% of patients with mild CTS and 100% of patients with moderate or severe CTS. In participants with positive intraneural vascularity, the sum of pixels in the intraneural vascular area was significantly higher in patients than in control subjects and paralleled the severity of the abnormality at EDT (P < .01). Conclusion: Color Doppler US can be used to accurately diagnose CTS. By processing the recorded power Doppler images and determining the number of pixels in the intraneural vascular area, the severity of CTS can be assessed. 2011 SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11110150/-/DC1. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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