Your browser doesn't support javascript.
loading
Quantitative MRI Differentiates Electromyography Severity Grades of Denervated Muscle in Neuropathy of the Brachial Plexus.
Tan, Ek T; Serrano, Kenneth C; Bhatti, Pravjit; Pishgar, Farhad; Vanderbeek, Alyssa M; Milani, Carlo J; Sneag, Darryl B.
Affiliation
  • Tan ET; Department of Radiology and Imaging, Hospital for Special Surgery, New York, 10021, New York, USA.
  • Serrano KC; Renaissance School of Medicine at Stony Brook University, Stony Brook, 11794, New York, USA.
  • Bhatti P; Georgetown University School of Medicine, Washington, 20007, District of Columbia, USA.
  • Pishgar F; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, 21205, Maryland, USA.
  • Vanderbeek AM; Department of Radiology and Imaging, Hospital for Special Surgery, New York, 10021, New York, USA.
  • Milani CJ; Biostatistics Core, Research Administration, Hospital for Special Surgery, New York, 10021, New York, USA.
  • Sneag DB; Department of Physiatry, Hospital for Special Surgery, New York, 10021, New York, USA.
J Magn Reson Imaging ; 56(4): 1104-1115, 2022 Oct.
Article in En | MEDLINE | ID: mdl-35195321
ABSTRACT

BACKGROUND:

Quantitative MRI (qMRI) metrics reflect microstructural skeletal muscle changes secondary to denervation and may correspond to conventional electromyography (EMG) assessments of motor unit recruitment (MUR) and denervation.

HYPOTHESIS:

Differences in quantitative T2 , diffusion-based apparent fiber diameter (AFD), and fat fraction (FF) exist between EMG grades, in patients with clinically suspected neuropathy of the brachial plexus. STUDY TYPE Prospective. POPULATION A total of 30 subjects (age = 37.5 ± 17.5, 21M/9F) with suspected brachial plexopathy. FIELD STRENGTH/SEQUENCE 3-Tesla; qMRI using fast spin echo (T2 -mapping), multi-b-valued diffusion-weighted echo planar imaging (for AFD), and dual-echo Dixon gradient echo (FF-mapping) sequences. ASSESSMENT qMRI values were compared against EMG grades (MUR and denervation). qMRI values (T2 , AFD, and FF) were obtained for five regional shoulder muscles. A 4-point scale was used for MUR/denervation severity. STATISTICAL TESTS Linear mixed models and least-squares pairwise comparisons were used to evaluate qMRI differences between EMG grades. Predictive accuracy of EMG grades from qMRI was quantified by 10-fold cross-validated logistic models. A P value < 0.05 was considered statistically significant.

RESULTS:

Mean (95% confidence interval) qMRI for "full" MUR were T2  = 39.40 msec (35.72-43.08 msec), AFD = 78.35 µm (72.52-84.19 µm), and FF = 4.54% (2.11-6.97%). Significant T2 increases (+8.36 to +14.67 msec) and significant AFD decreases (-11.04 to -21.58 µm) were observed with all abnormal MUR grades as compared to "full" MUR. Significant changes in both T2 and AFD were observed with increased denervation (+9.59 to +15.04 msec, -16.25 to -18.66 µm). There were significant differences in FF between some MUR grades (-1.45 to +2.96%), but no significant changes were observed with denervation (P = 0.089-0.662). qMRI prediction of abnormal MUR or denervation was strong (mean accuracy = 0.841 and 0.810, respectively) but moderate at predicting individual grades (accuracy = 0.492 and 0.508, respectively). DATA

CONCLUSION:

Quantitative T2 and AFD differences were observed between EMG grades in assessing muscle denervation. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY Stage 1.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachial Plexus / Magnetic Resonance Imaging Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Magn Reson Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachial Plexus / Magnetic Resonance Imaging Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Magn Reson Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: United States