Multimodal MRI improves diagnostic accuracy and sensitivity to longitudinal change in amyotrophic lateral sclerosis

被引:4
|
作者
Pisharady, Pramod Kumar [1 ]
Eberly, Lynn E. [1 ,2 ]
Adanyeguh, Isaac M. [1 ]
Manousakis, Georgios [3 ]
Guliani, Gaurav [3 ]
Walk, David [3 ]
Lenglet, Christophe [1 ]
机构
[1] Univ Minnesota, Ctr Magnet Resonance Res, Dept Radiol, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Sch Publ Hlth, Div Biostat, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Dept Neurol, Minneapolis, MN 55455 USA
来源
COMMUNICATIONS MEDICINE | 2023年 / 3卷 / 01期
关键词
PROBABILISTIC DIFFUSION TRACTOGRAPHY; HUMAN CEREBRAL-CORTEX; CERVICAL-SPINAL CORD; CORTICAL THICKNESS; SPHERICAL-DECONVOLUTION; CINGULATE CORTEX; TENSOR MRI; ALSFRS-R; BRAIN; PROGRESSION;
D O I
10.1038/s43856-023-00318-5
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Pisharady et al. demonstrate changes in diffusion metrics and cortical thickness in brain and cervical cord MRI in people with Amyotrophic lateral sclerosis (ALS) over time. Fiber density and fiber cross-section show the largest effect and may therefore be promising imaging biomarkers. BackgroundRecent advances in MRI acquisitions and image analysis have increased the utility of neuroimaging in understanding disease-related changes. In this work, we aim to demonstrate increased sensitivity to disease progression as well as improved diagnostic accuracy in Amyotrophic lateral sclerosis (ALS) with multimodal MRI of the brain and cervical spinal cord.MethodsWe acquired diffusion MRI data from the brain and cervical cord, and T1 data from the brain, of 20 participants with ALS and 20 healthy control participants. Ten ALS and 14 control participants, and 11 ALS and 13 control participants were re-scanned at 6-month and 12-month follow-ups respectively. We estimated cross-sectional differences and longitudinal changes in diffusion metrics, cortical thickness, and fixel-based microstructure measures, i.e. fiber density and fiber cross-section.ResultsWe demonstrate improved disease diagnostic accuracy and sensitivity through multimodal analysis of brain and spinal cord metrics. The brain metrics also distinguished lower motor neuron-predominant ALS participants from control participants. Fiber density and cross-section provided the greatest sensitivity to longitudinal change. We demonstrate evidence of progression in a cohort of 11 participants with slowly progressive ALS, including in participants with very slow change in ALSFRS-R. More importantly, we demonstrate that longitudinal change is detectable at a six-month follow-up visit. We also report correlations between ALSFRS-R and the fiber density and cross-section metrics.ConclusionsOur findings suggest that multimodal MRI is useful in improving disease diagnosis, and fixel-based measures may serve as potential biomarkers of disease progression in ALS clinical trials. Plain Languange SummaryALS is a disease affecting the brain and spinal cord which leads to weakness and muscle wasting. It is important to be able to measure disease-related changes whilst clinical trials are ongoing to assess whether the treatments being tested are working. We imaged the brain and spinal cord of people with and without ALS at 3 time points over a year. We found changes in the brain and spine over time. This study demonstrates that brain imaging could be potentially used to assess changes in disease progression during clinical trials, giving an indication of whether the treatments being tested are having an effect.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis
    van der Burgh, Hannelore K.
    Schmidt, Ruben
    Westeneng, Henk-Jan
    de Reus, Marcel A.
    van den Berg, Leonard H.
    van den Heuvel, Martijn P.
    NEUROIMAGE-CLINICAL, 2017, 13 : 361 - 369
  • [2] Multimodal longitudinal study of structural brain involvement in amyotrophic lateral sclerosis
    van der Burgh, Hannelore K.
    Westeneng, Henk-Jan
    Walhout, Renee
    van Veenhuijzen, Kevin
    Tan, Harold H. G.
    Meier, Jil M.
    Bakker, Leonhard A.
    Hendrikse, Jeroen
    van Es, Michael A.
    Veldink, Jan H.
    van den Heuvel, Martijn P.
    van den Berg, Leonard H.
    NEUROLOGY, 2020, 94 (24) : E2592 - E2604
  • [3] The combined use of conventional MRI and MR spectroscopic imaging increases the diagnostic accuracy in amyotrophic lateral sclerosis
    Cervo, Amedeo
    Cocozza, Sirio
    Sacca, Francesco
    Giorgio, Sara M. D. A.
    Morra, Vincenzo Brescia
    Tedeschi, Enrico
    Marsili, Angela
    Vacca, Giovanni
    Palma, Vincenzo
    Brunetti, Arturo
    Quarantelli, Mario
    EUROPEAN JOURNAL OF RADIOLOGY, 2015, 84 (01) : 151 - 157
  • [4] Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
    Pisharady, Pramod Kumar
    Eberly, Lynn E.
    Cheong, Ian
    Manousakis, Georgios
    Guliani, Gaurav
    Clark, H. Brent
    Bathe, Mark
    Walk, David
    Lenglet, Christophe
    COMMUNICATIONS BIOLOGY, 2020, 3 (01)
  • [5] Multimodal assessment of white matter tracts in amyotrophic lateral sclerosis
    Borsodi, Florian
    Culea, Valeriu
    Langkammer, Christian
    Khalil, Michael
    Pirpamer, Lukas
    Quasthoff, Stefan
    Enzinger, Christian
    Schmidt, Reinhold
    Fazekas, Franz
    Ropele, Stefan
    PLOS ONE, 2017, 12 (06):
  • [6] Structural imaging differences and longitudinal changes in primary lateral sclerosis and amyotrophic lateral sclerosis
    Kwan, Justin Y.
    Meoded, Avner
    Danielian, Laura E.
    Wu, Tianxia
    Floeter, Mary Kay
    NEUROIMAGE-CLINICAL, 2013, 2 : 151 - 160
  • [7] Diagnostic delay in amyotrophic lateral sclerosis
    Gwathmey, Kelly G.
    Corcia, Philippe
    McDermott, Chris J.
    Genge, Angela
    Sennfalt, Stefan
    de Carvalho, Mamede
    Ingre, Caroline
    EUROPEAN JOURNAL OF NEUROLOGY, 2023, 30 (09) : 2595 - 2601
  • [8] Imaging in amyotrophic lateral sclerosis: MRI and PET
    Kassubek, Jan
    Pagani, Marco
    CURRENT OPINION IN NEUROLOGY, 2019, 32 (05) : 740 - 746
  • [9] A microRNA diagnostic biomarker for amyotrophic lateral sclerosis
    Banack, Sandra Anne
    Dunlop, Rachael A.
    Mehta, Paul
    Mitsumoto, Hiroshi
    Wood, Stewart P.
    Han, Moon
    Cox, Paul Alan
    BRAIN COMMUNICATIONS, 2024, 6 (05)
  • [10] Diagnostic and prognostic power of CSF Tau in amyotrophic lateral sclerosis
    Scarafino, Antonio
    D'Errico, Eustachio
    Introna, Alessandro
    Fraddosio, Angela
    Distaso, Eugenio
    Tempesta, Irene
    Morea, Antonella
    Mastronardi, Antonella
    Leante, Rosaria
    Ruggieri, Maddalena
    Mastrapasqua, Mariangela
    Simone, Isabella Laura
    JOURNAL OF NEUROLOGY, 2018, 265 (10) : 2353 - 2362