Hybrid reflected‐ultrasound computed tomography versus B‐mode‐ultrasound for muscle scoring in spinal muscular atrophy

Author:

Danko Vera12,Jüngert Jörg1,Schuessler Stephanie1,Buehler Adrian12,Klett Daniel34,Federle Anna34,Roos Andreas567,Lochmüller Hanns6,Neurath Markus F.34,Woelfle Joachim1,Trollmann Regina1,Waldner Maximilian J.34,Knieling Ferdinand12,Regensburger Adrian P.12,Wagner Alexandra L.28ORCID

Affiliation:

1. Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen Friedrich‐Alexander‐University (FAU) Erlangen‐Nürnberg Erlangen Germany

2. Pediatric Experimental and Translational Imaging Laboratory (PETI‐Lab), University Hospital Erlangen Friedrich‐Alexander‐University (FAU) Erlangen‐Nürnberg Erlangen Germany

3. Medical Department 1, University Hospital Erlangen Friedrich‐Alexander‐University (FAU) Erlangen‐Nürnberg Erlangen Germany

4. German Center Immunotherapy, University Hospital Erlangen Friedrich‐Alexander‐University (FAU) Erlangen‐Nürnberg Erlangen Germany

5. Department of Pediatric Neurology, Developmental Neurology and Social Pediatrics University of Duisburg‐Essen Essen Germany

6. Children's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute University of Ottawa Ottawa Canada

7. Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil Ruhr‐University Bochum Bochum Germany

8. Center for Chronically Sick Children Charité‐Universitätsmedizin Berlin Berlin Germany

Abstract

AbstractBackground and PurposeNovel light‐ and sound‐based technologies like multispectral optoacoustic tomography (MSOT) with co‐registered reflected‐ultrasound computed tomography (RUCT) could add additional value to conventional ultrasound (US) for disease phenotyping in pediatric spinal muscular atrophy (SMA). The aim of this study was to investigate the quality of RUCT compared to US for qualitative and quantitative assessment of imaging neuromuscular disorders.MethodsSubanalyzing the MSOT SMA study, 288 RUCT and 276 US images from 10 SMA patients (mean age 9.0 ± 3.7) and 10 gender‐ and age‐matched healthy volunteers (HV; mean age 8.7 ± 4.3) were analyzed for quantitative (grayscale levels [GSLs]) and qualitative (echogenicity, distribution pattern, Heckmatt scale, and muscle texture) muscle changes. RUCT and US measures were further correlated with clinical standard motor outcomes.ResultsQuantitative agreement using GSLs revealed significantly higher GSLs in muscles of SMA patients compared to healthy muscles in both techniques (US mean GSL [SD] SMA vs. HV: 110.70 [27.8] vs. 68.85 [19.2], p < .0001; RUCT mean GSL [SD] SMA vs. HV: 91.81 [21.8] vs. 59.86 [8.2], p < .0001) with good correlation with motor outcome tests, respectively. Qualitative agreement between methods for muscle composition was excellent for differentiation of pathological versus healthy muscles, echogenicity, and distribution pattern, moderate for Heckmatt scale, and poor for muscle texture.ConclusionsThe data suggest that RUCT may allow the assessment of basic qualitative and quantitative measures for muscular diseases with comparable results to conventional US.

Funder

Deutsche Forschungsgemeinschaft

Canadian Institutes of Health Research

Canada Foundation for Innovation

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

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