92. Muscles alive: Dynamic muscle ultrasound detecting fibrillations

2009 ◽  
Vol 120 (2) ◽  
pp. e115
Author(s):  
S. Pillen ◽  
M. Nienhuis ◽  
I. Arts ◽  
N.V. Alfen ◽  
G. Drost ◽  
...  
2017 ◽  
Vol 81 (5) ◽  
pp. 633-640 ◽  
Author(s):  
Craig M. Zaidman ◽  
Jim S. Wu ◽  
Kush Kapur ◽  
Amy Pasternak ◽  
Lavanya Madabusi ◽  
...  

Author(s):  
Felipe González-Seguel ◽  
Juan José Pinto-Concha ◽  
Francisco Ríos-Castro ◽  
Alexis Silva-Gutiérrez ◽  
Agustín Camus-Molina ◽  
...  

2012 ◽  
Vol 38 (8) ◽  
pp. 1339-1344 ◽  
Author(s):  
Rick Brandsma ◽  
Renate J. Verbeek ◽  
Natasha M. Maurits ◽  
Janneke T. Hamminga ◽  
Oebele F. Brouwer ◽  
...  

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Rasha M Ibrahim ◽  
Haitham M Hamdy ◽  
Amr A Mohammed ◽  
Ahmed M Elsadek ◽  
Ahmed M Bassiouny ◽  
...  

Abstract Background Limb-girdle muscular dystrophies (LGMDs) are a clinically and genetically heterogeneous group of disorders characterized by progressive muscle weakness and degenerative muscle changes. Studies have shown that ultrasound can be useful both for diagnosis and follow-up of LGMDs patients. Objectives This study aims to measure the sensitivity and the specificity of muscle ultrasound in assessment of suspected limb girdle muscular dystrophy patients. Subjects and Methods This cross-sectional descriptive study was conducted on Fifty-five patients with suspected LGMD from neuromuscular unit, myology clinic, Ain Shams University hospitals and eight healthy subjects. Age was above 2 years. Both sexes were included in the study. They underwent real-time B-mode ultrasonography performed with using Logiq p9 General Electric ultrasound machine and General Electric 7-11.5 MHZ linear array ultrasound probe. All ultrasound images have been obtained and scored by a single examiner and muscle echo intensity was visually graded semiquantitative according to Heckmatt's scale. The examiner was blinded to the muscle biopsy results and clinical evaluations. Results Statistical analysis revealed that the diagnostic performance of muscle US (Heckmatt’s score) in LGMD is most sensitive when calculated in all examined upper limb and lower limb muscles, followed by lower limb muscles alone. US of upper limb was found to be the least sensitive. Conclusions Muscle ultrasound is a practical and reproducible and valid tool that can be used in assessment of suspected LGMD patients.


2017 ◽  
Vol 65 (12) ◽  
pp. 2562-2563 ◽  
Author(s):  
Jenna M. Bartley ◽  
Stephanie A. Studenski

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Weiqing Zhang ◽  
Jun Wu ◽  
Qiuying Gu ◽  
Yanting Gu ◽  
Yujin Zhao ◽  
...  

AbstractTo test diagnostic accuracy of changes in thickness (TH) and cross-sectional area (CSA) of muscle ultrasound for diagnosis of intensive care unit acquired weakness (ICU-AW). Fully conscious patients were subjected to muscle ultrasonography including measuring the changes in TH and CSA of biceps brachii (BB) muscle, vastus intermedius (VI) muscle, and rectus femoris (RF) muscles over time. 37 patients underwent muscle ultrasonography on admission day, day 4, day 7, and day 10 after ICU admission, Among them, 24 were found to have ICW-AW. Changes in muscle TH and CSA of RF muscle on the right side showed remarkably higher ROC-AUC and the range was from 0.734 to 0.888. Changes in the TH of VI muscle had fair ROC-AUC values which were 0.785 on the left side and 0.779 on the right side on the 10th day after ICU admission. Additionally, Sequential Organ Failure Assessment (SOFA), Acute Physiology, and Chronic Health Evaluation II (APACHE II) scores also showed good discriminative power on the day of admission (ROC-AUC 0.886 and 0.767, respectively). Ultrasonography of changes in muscles, especially in the TH of VI muscle on both sides and CSA of RF muscle on the right side, presented good diagnostic accuracy. However, SOFA and APACHE II scores are better options for early ICU-AW prediction due to their simplicity and time efficiency.


2021 ◽  
Vol 102 (10) ◽  
pp. e26
Author(s):  
Matthew Rong Jie Tay ◽  
Jong Moon Kim ◽  
Deshan Kumar Rajeswaran ◽  
Shuen-Loong Tham ◽  
Wen Li Lui ◽  
...  

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