Literature DB >> 2681371

Quantitative sonography of muscle.

J Heckmatt1, E Rodillo, M Doherty, K Willson, S Leeman.   

Abstract

Ultrasound imaging allows detection of pathologic change in muscle on the basis of increased strength of echoes. With current commercial equipment, however, there is no method of quantitation of the echoes representing muscle, and there is lack of uniformity in scanning methodology. We describe a specially constructed scanning system, designed to access the raw echo data directly from the ultrasound transducer, and allow display and measurement of the echo signals on a computer. In a study of 38 boys with Duchenne muscular dystrophy, aged 1 to 11 years, who had an ultrasound scan of the thigh muscle, 32 (84%) had abnormality on quantitation of the ultrasound echoes. The quantitative techniques we describe could easily be incorporated into the design of ultrasound scanners.

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Year:  1989        PMID: 2681371     DOI: 10.1177/0883073889004001s15

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  11 in total

1.  Qualitative and quantitative skeletal muscle ultrasound in late-onset acid maltase deficiency.

Authors:  Craig M Zaidman; Elizabeth C Malkus; Catherine Siener; Julaine Florence; Alan Pestronk; Muhammad Al-Lozi
Journal:  Muscle Nerve       Date:  2011-07-13       Impact factor: 3.217

2.  Quantitative ultrasound using backscatter analysis in Duchenne and Becker muscular dystrophy.

Authors:  Craig M Zaidman; Anne M Connolly; Elizabeth C Malkus; Julaine M Florence; Alan Pestronk
Journal:  Neuromuscul Disord       Date:  2010-12       Impact factor: 4.296

3.  Quantitative muscle ultrasound detects disease progression in Duchenne muscular dystrophy.

Authors:  Craig M Zaidman; Jim S Wu; Kush Kapur; Amy Pasternak; Lavanya Madabusi; Sung Yim; Adam Pacheck; Heather Szelag; Tim Harrington; Basil T Darras; Seward B Rutkove
Journal:  Ann Neurol       Date:  2017-05-04       Impact factor: 10.422

4.  Muscle ultrasound quantifies disease progression over time in infants and young boys with duchenne muscular dystrophy.

Authors:  Craig M Zaidman; Elizabeth C Malkus; Anne M Connolly
Journal:  Muscle Nerve       Date:  2015-09       Impact factor: 3.217

5.  Quantitative ultrasound of skeletal muscle: reliable measurements of calibrated muscle backscatter from different ultrasound systems.

Authors:  Craig M Zaidman; Mark R Holland; Michael S Hughes
Journal:  Ultrasound Med Biol       Date:  2012-07-03       Impact factor: 2.998

6.  Compositional analysis of muscle in boys with Duchenne muscular dystrophy using MR imaging.

Authors:  Franklin A Marden; Anne M Connolly; Marilyn J Siegel; David A Rubin
Journal:  Skeletal Radiol       Date:  2004-10-22       Impact factor: 2.199

7.  Minimal training is required to reliably perform quantitative ultrasound of muscle.

Authors:  Craig M Zaidman; Jim S Wu; Sarah Wilder; Basil T Darras; Seward B Rutkove
Journal:  Muscle Nerve       Date:  2014-05-09       Impact factor: 3.217

8.  Sensitive ultrasonic detection of dystrophic skeletal muscle in patients with duchenne muscular dystrophy using an entropy-based signal receiver.

Authors:  Michael S Hughes; Jon N Marsh; Kirk D Wallace; Tamara A Donahue; Anne M Connolly; Gregory M Lanza; Samuel A Wickline
Journal:  Ultrasound Med Biol       Date:  2007-04-30       Impact factor: 2.998

9.  Ultrasound estimates of muscle quality in older adults: reliability and comparison of Photoshop and ImageJ for the grayscale analysis of muscle echogenicity.

Authors:  Michael O Harris-Love; Bryant A Seamon; Carla Teixeira; Catheeja Ismail
Journal:  PeerJ       Date:  2016-02-22       Impact factor: 2.984

10.  Urinary Levels of Titin-N Fragment, a Skeletal Muscle Damage Marker, are Increased in Subjects with Nonalcoholic Fatty Liver Disease.

Authors:  Natsumi Oshida; Takashi Shida; Sechang Oh; Taeho Kim; Tomonori Isobe; Yoshikazu Okamoto; Takashi Kamimaki; Kosuke Okada; Hideo Suzuki; Shun-Ichi Ariizumi; Masakazu Yamamoto; Junichi Shoda
Journal:  Sci Rep       Date:  2019-12-20       Impact factor: 4.379

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