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Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease

OBJECTIVES: Neurodegeneration in suspected Alzheimer’s disease can be determined using visual rating or quantitative volumetric assessments. We examined the feasibility of volumetric measurements of gray matter (GMV) and hippocampal volume (HCV) and compared their diagnostic performance with visual...

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Autores principales: Ingala, Silvia, van Maurik, Ingrid S., Altomare, Daniele, Wurm, Raphael, Dicks, Ellen, van Schijndel, Ronald A., Zwan, Marissa, Bouwman, Femke, Schoonenboom, Niki, Boelaarts, Leo, Roks, Gerwin, van Marum, Rob, van Harten, Barbera, van Uden, Inge, Claus, Jules, Wottschel, Viktor, Vrenken, Hugo, Wattjes, Mike P., van der Flier, Wiesje M., Barkhof, Frederik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668763/
https://www.ncbi.nlm.nih.gov/pubmed/35639148
http://dx.doi.org/10.1007/s00330-021-08503-7
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author Ingala, Silvia
van Maurik, Ingrid S.
Altomare, Daniele
Wurm, Raphael
Dicks, Ellen
van Schijndel, Ronald A.
Zwan, Marissa
Bouwman, Femke
Schoonenboom, Niki
Boelaarts, Leo
Roks, Gerwin
van Marum, Rob
van Harten, Barbera
van Uden, Inge
Claus, Jules
Wottschel, Viktor
Vrenken, Hugo
Wattjes, Mike P.
van der Flier, Wiesje M.
Barkhof, Frederik
author_facet Ingala, Silvia
van Maurik, Ingrid S.
Altomare, Daniele
Wurm, Raphael
Dicks, Ellen
van Schijndel, Ronald A.
Zwan, Marissa
Bouwman, Femke
Schoonenboom, Niki
Boelaarts, Leo
Roks, Gerwin
van Marum, Rob
van Harten, Barbera
van Uden, Inge
Claus, Jules
Wottschel, Viktor
Vrenken, Hugo
Wattjes, Mike P.
van der Flier, Wiesje M.
Barkhof, Frederik
author_sort Ingala, Silvia
collection PubMed
description OBJECTIVES: Neurodegeneration in suspected Alzheimer’s disease can be determined using visual rating or quantitative volumetric assessments. We examined the feasibility of volumetric measurements of gray matter (GMV) and hippocampal volume (HCV) and compared their diagnostic performance with visual rating scales in academic and non-academic memory clinics. MATERIALS AND METHODS: We included 231 patients attending local memory clinics (LMC) in the Netherlands and 501 of the academic Amsterdam Dementia Cohort (ADC). MRI scans were acquired using local protocols, including a T1-weighted sequence. Quantification of GMV and HCV was performed using FSL and FreeSurfer. Medial temporal atrophy and global atrophy were assessed with visual rating scales. ROC curves were derived to determine which measure discriminated best between cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer’s dementia (AD). RESULTS: Patients attending LMC (age 70.9 ± 8.9 years; 47% females; 19% CN; 34% MCI; 47% AD) were older, had more cerebrovascular pathology, and had lower GMV and HCV compared to those of the ADC (age 64.9 ± 8.2 years; 42% females; 35% CN, 43% MCI, 22% AD). While visual ratings were feasible in > 95% of scans in both cohorts, quantification was achieved in 94–98% of ADC, but only 68–85% of LMC scans, depending on the software. Visual ratings and volumetric outcomes performed similarly in discriminating CN vs AD in both cohorts. CONCLUSION: In clinical settings, quantification of GM and hippocampal atrophy currently fails in up to one-third of scans, probably due to lack of standardized acquisition protocols. Diagnostic accuracy is similar for volumetric measures and visual rating scales, making the latter suited for clinical practice. SUMMARY STATEMENT: In a real-life clinical setting, volumetric assessment of MRI scans in dementia patients may require acquisition protocol optimization and does not outperform visual rating scales. KEY POINTS: • In a real-life clinical setting, the diagnostic performance of visual rating scales is similar to that of automatic volumetric quantification and may be sufficient to distinguish Alzheimer’s disease groups. • Volumetric assessment of gray matter and hippocampal volumes from MRI scans of patients attending non-academic memory clinics fails in up to 32% of cases. • Clinical MR acquisition protocols should be optimized to improve the output of quantitative software for segmentation of Alzheimer’s disease–specific outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08503-7.
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spelling pubmed-96687632022-11-18 Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease Ingala, Silvia van Maurik, Ingrid S. Altomare, Daniele Wurm, Raphael Dicks, Ellen van Schijndel, Ronald A. Zwan, Marissa Bouwman, Femke Schoonenboom, Niki Boelaarts, Leo Roks, Gerwin van Marum, Rob van Harten, Barbera van Uden, Inge Claus, Jules Wottschel, Viktor Vrenken, Hugo Wattjes, Mike P. van der Flier, Wiesje M. Barkhof, Frederik Eur Radiol Neuro OBJECTIVES: Neurodegeneration in suspected Alzheimer’s disease can be determined using visual rating or quantitative volumetric assessments. We examined the feasibility of volumetric measurements of gray matter (GMV) and hippocampal volume (HCV) and compared their diagnostic performance with visual rating scales in academic and non-academic memory clinics. MATERIALS AND METHODS: We included 231 patients attending local memory clinics (LMC) in the Netherlands and 501 of the academic Amsterdam Dementia Cohort (ADC). MRI scans were acquired using local protocols, including a T1-weighted sequence. Quantification of GMV and HCV was performed using FSL and FreeSurfer. Medial temporal atrophy and global atrophy were assessed with visual rating scales. ROC curves were derived to determine which measure discriminated best between cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer’s dementia (AD). RESULTS: Patients attending LMC (age 70.9 ± 8.9 years; 47% females; 19% CN; 34% MCI; 47% AD) were older, had more cerebrovascular pathology, and had lower GMV and HCV compared to those of the ADC (age 64.9 ± 8.2 years; 42% females; 35% CN, 43% MCI, 22% AD). While visual ratings were feasible in > 95% of scans in both cohorts, quantification was achieved in 94–98% of ADC, but only 68–85% of LMC scans, depending on the software. Visual ratings and volumetric outcomes performed similarly in discriminating CN vs AD in both cohorts. CONCLUSION: In clinical settings, quantification of GM and hippocampal atrophy currently fails in up to one-third of scans, probably due to lack of standardized acquisition protocols. Diagnostic accuracy is similar for volumetric measures and visual rating scales, making the latter suited for clinical practice. SUMMARY STATEMENT: In a real-life clinical setting, volumetric assessment of MRI scans in dementia patients may require acquisition protocol optimization and does not outperform visual rating scales. KEY POINTS: • In a real-life clinical setting, the diagnostic performance of visual rating scales is similar to that of automatic volumetric quantification and may be sufficient to distinguish Alzheimer’s disease groups. • Volumetric assessment of gray matter and hippocampal volumes from MRI scans of patients attending non-academic memory clinics fails in up to 32% of cases. • Clinical MR acquisition protocols should be optimized to improve the output of quantitative software for segmentation of Alzheimer’s disease–specific outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08503-7. Springer Berlin Heidelberg 2022-05-31 2022 /pmc/articles/PMC9668763/ /pubmed/35639148 http://dx.doi.org/10.1007/s00330-021-08503-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Neuro
Ingala, Silvia
van Maurik, Ingrid S.
Altomare, Daniele
Wurm, Raphael
Dicks, Ellen
van Schijndel, Ronald A.
Zwan, Marissa
Bouwman, Femke
Schoonenboom, Niki
Boelaarts, Leo
Roks, Gerwin
van Marum, Rob
van Harten, Barbera
van Uden, Inge
Claus, Jules
Wottschel, Viktor
Vrenken, Hugo
Wattjes, Mike P.
van der Flier, Wiesje M.
Barkhof, Frederik
Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title_full Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title_fullStr Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title_full_unstemmed Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title_short Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer’s disease
title_sort clinical applicability of quantitative atrophy measures on mri in patients suspected of alzheimer’s disease
topic Neuro
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668763/
https://www.ncbi.nlm.nih.gov/pubmed/35639148
http://dx.doi.org/10.1007/s00330-021-08503-7
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