TY - JOUR
T1 - Visual screening of muscle ultrasound images in children
AU - Brandsma, Rick
AU - Verbeek, Renate J.
AU - Maurits, Natasha M.
AU - van der Hoeven, Johannes H.
AU - Brouwer, Oebele F.
AU - den Dunnen, Wilfred F.A.
AU - Burger, Huibert
AU - Sival, Deborah A.
N1 - Publisher Copyright:
© 2014 World Federation for Ultrasound in Medicine & Biology.
PY - 2014
Y1 - 2014
N2 - In children, non-invasive muscle ultrasound (MU) imaging has become increasingly important for the detection of neuromuscular pathology, by either quantitative or visual assessment. MU quantification requires time, expertise and equipment. If application of visual MU screening provides reliable results, ubiquitous application could be advocated. Previously, we found that visual MU screening can reliably detect segmental neuromuscular alterations within a patient. Analogously, we reasoned that visual MU screening could discern pathologic MU images from healthy controls. We therefore investigated visual screening results by 20 clinical observers (involving 100 MU images, with [n=53] and without [n=47] neuromuscular pathology). MU screening revealed adequate sensitivity, specificity and negative predictive value (85%, 75% and 82%, respectively). MU-experienced observers revealed higher specificity than MU-inexperienced observers (86% vs. 69%, p=0.005). We conclude that clinical observers can identify neuromuscular pathology by visual screening. To enhance specificity, a secondary view by an expert appears advisory.
AB - In children, non-invasive muscle ultrasound (MU) imaging has become increasingly important for the detection of neuromuscular pathology, by either quantitative or visual assessment. MU quantification requires time, expertise and equipment. If application of visual MU screening provides reliable results, ubiquitous application could be advocated. Previously, we found that visual MU screening can reliably detect segmental neuromuscular alterations within a patient. Analogously, we reasoned that visual MU screening could discern pathologic MU images from healthy controls. We therefore investigated visual screening results by 20 clinical observers (involving 100 MU images, with [n=53] and without [n=47] neuromuscular pathology). MU screening revealed adequate sensitivity, specificity and negative predictive value (85%, 75% and 82%, respectively). MU-experienced observers revealed higher specificity than MU-inexperienced observers (86% vs. 69%, p=0.005). We conclude that clinical observers can identify neuromuscular pathology by visual screening. To enhance specificity, a secondary view by an expert appears advisory.
KW - Inhomogeneity
KW - Muscle
KW - Muscle echo-density
KW - Neuromuscular pathology
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=84926253318&partnerID=8YFLogxK
U2 - 10.1016/j.ultrasmedbio.2014.03.027
DO - 10.1016/j.ultrasmedbio.2014.03.027
M3 - Article
C2 - 25023119
AN - SCOPUS:84926253318
SN - 0301-5629
VL - 40
SP - 2345
EP - 2351
JO - Ultrasound in Medicine and Biology
JF - Ultrasound in Medicine and Biology
IS - 10
ER -