Muscle MRI quantifies disease progression in amyotrophic lateral sclerosis

  • Uros Klickovic
  • , Luca Zampedri
  • , Nick Zafeiropoulos
  • , Oliver J Ziff
  • , Christopher Dj Sinclair
  • , Stephen Wastling
  • , Magdalena Dudziec
  • , Jodie Allen
  • , Karin Trimmel
  • , Robin S Howard
  • , Andrea Malaspina
  • , Nikhil Sharma
  • , Katie Cl Sidle
  • , Sachit Shah
  • , Christian Nasel
  • , Tarek A Yousry
  • , Linda Greensmith
  • , Jasper M Morrow
  • , John S Thornton
  • , Pietro Fratta

Research output: Journal article (peer-reviewed)Journal article

Abstract

BACKGROUND AND OBJECTIVES: Quantitative and operator-independent biomarkers of disease progression are urgently needed in amyotrophic lateral sclerosis (ALS) research. We assess the potential of skeletal muscle MRI as a sensitive and reliable outcome measure for future ALS clinical trials.

METHODS: In this longitudinal cohort study, muscle MRI of head-neck, upper and lower limb regions, alongside clinical and functional assessments, were acquired at three time points over the individual maximum observation period (iMOP) of 1 year in 20 patients with ALS and 16 healthy controls. Quantitative MRI parameters cross-sectional area (CSA), volume (VOL), fat fraction, functional rest muscle area and water T2 (T2m) were correlated with changes in clinical disease severity (functional rating scales and myometry).

RESULTS: Among 20 patients with ALS, 17 completed follow-up. Progressive muscle atrophy (CSA, VOL) was observed at hand (rs=0.66), head-neck (partial η²=0.47) and lower-limb level (thighs: η²=0.56, calves: η²=0.54) over iMOP. MRI changes correlated with leg muscle strength (knee extension: r=0.77; plantar flexion: r=0.78), hand grip strength (r=0.71) and functional rating scales (r=0.68).

INTERPRETATION: Our findings demonstrate the effectiveness of muscle MRI as a sensitive neuroimaging biomarker of disease progression in ALS, highlighting its potential application in clinical trials.

Original languageEnglish
Pages (from-to)908-911
Number of pages4
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume96
Issue number9
Early online date25 Mar 2025
DOIs
Publication statusPublished - 01 Sept 2025

Keywords

  • ALS
  • MRI
  • MUSCLE DISEASE
  • NEUROMUSCULAR

ASJC Scopus subject areas

  • Surgery
  • Neurology (clinical)
  • Psychiatry and Mental Health

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