Jan Kassubek1, Marco Pagani2,3. 1. Department of Neurology, University of Ulm, Ulm, Germany. 2. Institute of Cognitive Sciences and Technologies, CNR, Rome, Italy. 3. Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden.
Abstract
PURPOSE OF REVIEW: Neuroimaging with MRI and PET has become a well-established technical tool for amyotrophic lateral sclerosis (ALS). This review summarizes current developments in the advanced neuroimaging assessment of ALS and explores their potential in a clinical and neuroscientific setting. RECENT FINDINGS: With a focus on diffusion-weighted imaging, MRI-based neuroimaging has shown to provide reliable measures for monitoring disease progression and should be included in the clinical workup of ALS. There have been efforts to improve the clinical utility of fluorodesoxyglucose (FDG)-PET, and multivariate analysis has made advances in discriminating patients from controls and for prognostic assessment. Beyond FDG-PET, promising investigations have been carried out implementing novel radiotracers. SUMMARY: MRI and PET studies in ALS have consistently shown patterns of functional and structural changes considered to be the pathological signature of the disease. The constant advance of neuroimaging techniques encourages to investigate the cascade of ALS neurodegeneration and symptoms at finer and more specific level. Multicenter studies and the implementation of novel methodologies might confer a pivotal role to neuroimaging in the clinical setting in the near future, accelerating ALS diagnosis and allowing a prompt prognosis about disease progression.
PURPOSE OF REVIEW: Neuroimaging with MRI and PET has become a well-established technical tool for amyotrophic lateral sclerosis (ALS). This review summarizes current developments in the advanced neuroimaging assessment of ALS and explores their potential in a clinical and neuroscientific setting. RECENT FINDINGS: With a focus on diffusion-weighted imaging, MRI-based neuroimaging has shown to provide reliable measures for monitoring disease progression and should be included in the clinical workup of ALS. There have been efforts to improve the clinical utility of fluorodesoxyglucose (FDG)-PET, and multivariate analysis has made advances in discriminating patients from controls and for prognostic assessment. Beyond FDG-PET, promising investigations have been carried out implementing novel radiotracers. SUMMARY: MRI and PET studies in ALS have consistently shown patterns of functional and structural changes considered to be the pathological signature of the disease. The constant advance of neuroimaging techniques encourages to investigate the cascade of ALS neurodegeneration and symptoms at finer and more specific level. Multicenter studies and the implementation of novel methodologies might confer a pivotal role to neuroimaging in the clinical setting in the near future, accelerating ALS diagnosis and allowing a prompt prognosis about disease progression.
Authors: Ashley C Knight; Christopher D Morrone; Cassis Varlow; Wai Haung Yu; Paul McQuade; Neil Vasdev Journal: Mol Imaging Biol Date: 2022-10-18 Impact factor: 3.484
Authors: Stephen A Goutman; Orla Hardiman; Ammar Al-Chalabi; Adriano Chió; Masha G Savelieff; Matthew C Kiernan; Eva L Feldman Journal: Lancet Neurol Date: 2022-03-22 Impact factor: 59.935
Authors: Charlotte Zejlon; Dominik Nakhostin; Sebastian Winklhofer; Athina Pangalu; Zsolt Kulcsar; Sebastian Lewandowski; Johannes Finnsson; Fredrik Piehl; Caroline Ingre; Tobias Granberg; Benjamin Victor Ineichen Journal: Front Neurol Date: 2022-08-30 Impact factor: 4.086
Authors: Freimut D Juengling; Frank Wuest; Sanjay Kalra; Federica Agosta; Ralf Schirrmacher; Alexander Thiel; Wolfgang Thaiss; Hans-Peter Müller; Jan Kassubek Journal: Front Neurol Date: 2022-08-17 Impact factor: 4.086
Authors: Sanjay Kalra; Hans-Peter Müller; Abdullah Ishaque; Lorne Zinman; Lawrence Korngut; Angela Genge; Christian Beaulieu; Richard Frayne; Simon J Graham; Jan Kassubek Journal: Neurology Date: 2020-07-09 Impact factor: 9.910
Authors: David Reyes-Leiva; Oriol Dols-Icardo; Sonia Sirisi; Elena Cortés-Vicente; Janina Turon-Sans; Noemi de Luna; Rafael Blesa; Olivia Belbin; Victor Montal; Daniel Alcolea; Juan Fortea; Alberto Lleó; Ricard Rojas-García; Ignacio Illán-Gala Journal: Front Neurol Date: 2022-01-18 Impact factor: 4.003