Evidence map›Paper›PMID 35486397›Full record

ArticleJAMA network open2022

Diagnostic Accuracy of Magnetic Resonance Imaging Measures of Brain Atrophy Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Degeneration.

Ignacio Illán-Gala, Salvatore Nigro, Lawren VandeVrede, Neus Falgàs, Hilary W Heuer, Cèlia Painous, Yaroslau Compta, Maria J Martí, Victor Montal, Javier Pagonabarraga and 17 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 37 citations in OpenAlex.

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  10. Caregiver perspectives enable accurate diagnosis of neurodegenerative disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  15. Review
  16. Pathomechanisms of cognitive and behavioral impairment in corticobasal degeneration.Journal of neural transmission (Vienna, Austria : 1996) · 2023
    Review
  17. Article
  18. Review
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 6 institutions in 3 countries.

Ignacio Illán-GalaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Salvatore NigroCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Lecce, Italy.
Lawren VandeVredeMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Neus FalgàsAtlantic Fellow for Equity in Brain Health at the University of California, San Francisco, Department of Neurology, University of California, San Francisco.
Hilary W HeuerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Cèlia PainousParkinson's Disease & Movement Disorders Unit, Hospital Clínic, Instituto de Investigaciones Biomédicas August Pi i Sunyer, CIBERNED, European Reference Network for Rare Neurological Diseases, Institut de Neurociències, Universitat de Barcelona, Catalonia, Spain.
Yaroslau ComptaParkinson's Disease & Movement Disorders Unit, Hospital Clínic, Instituto de Investigaciones Biomédicas August Pi i Sunyer, CIBERNED, European Reference Network for Rare Neurological Diseases, Institut de Neurociències, Universitat de Barcelona, Catalonia, Spain.
Maria J MartíParkinson's Disease & Movement Disorders Unit, Hospital Clínic, Instituto de Investigaciones Biomédicas August Pi i Sunyer, CIBERNED, European Reference Network for Rare Neurological Diseases, Institut de Neurociències, Universitat de Barcelona, Catalonia, Spain.
Victor MontalSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Javier PagonabarragaCentro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
Jaime KulisevskyCentro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
Alberto LleóSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Juan ForteaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Giancarlo LogroscinoCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Lecce, Italy.
Andrea QuattroneDepartment of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.
Aldo QuattroneNeuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy.
David C PerryMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Maria Luisa Gorno-TempiniMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Howard J RosenMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Lea T GrinbergMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Salvatore SpinaMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Renaud La JoieMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Gil D RabinoviciMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Bruce L MillerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Julio C RojasMemory and Aging Center, Department of Neurology, University of California, San Francisco.
William W SeeleyMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Adam L BoxerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
University of California, San Francisco · USUniversitat Autònoma de Barcelona · ESBiomedical Research Networking Center on Neurodegenerative Diseases · ESMagna Graecia University · ITNational Research Council · ITUniversity of Bari Aldo Moro · IT

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI ADAM L. BOXER, Bradley F Boeve · 2019 to 2026
$120.9M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
Clinical Features and Neuropathological Basis of Sleep Wake Behavior in Alzheimer's and PSPR01AG060477 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Lea Tenenholz Grinberg, Thomas C Neylan · 2019 to 2026
$8.2M
Primary Progressive Aphasia: Cognition, Anatomy and ProgressionRF1NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2022 to 2022
$4.7M
Diagnostic and prognostic certainty in behavioral variant frontotemporal dementiaR01AG062758 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2020 to 2025
$4.0M
Reward processing in genetic frontotemporal dementia and mood disordersR01AG059794 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2019 to 2023
$4.0M
Training program in the neurology of language and neurodegenerative aphasiasK24DC015544 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2016 to 2025
$1.9M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
Neuropathological changes underlying clinical heterogeneity in Alzheimer diseaseK24AG053435 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ · 2016 to 2025
$1.8M
Neuropathological basis of brain network dysfunctionK08AG052648 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SPINA, SALVATORE · 2016 to 2020
$852k
NIA NIH HHS K08 AG052648NIA NIH HHS K24 AG045333NIA NIH HHS K24 AG053435NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG038791NIA NIH HHS R01 AG059794NIA NIH HHS R01 AG060477NIA NIH HHS R01 AG062758NIA NIH HHS U19 AG063911NIDCD NIH HHS K24 DC015544NINDS NIH HHS RF1 NS050915
6 · The paper itself

Abstract

Importance: The accurate diagnosis of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) is hampered by imperfect clinical-pathological correlations. Objective: To assess and compare the diagnostic value of the magnetic resonance parkinsonism index (MRPI) and other magnetic resonance imaging-based measures of cerebral atrophy to differentiate between PSP, CBD, and other neurodegenerative diseases. Design, Setting, and Participants: This prospective diagnostic study included participants with 4-repeat tauopathies (4RT), PSP, CBD, other neurodegenerative diseases and available MRI who appeared in the University of California, San Francisco, Memory and Aging Center database. Data were collected from October 27, 1994, to September 29, 2019. Data were analyzed from March 1 to September 14, 2021. Main Outcomes and Measures: The main outcome of this study was the neuropathological diagnosis of PSP or CBD. The clinical diagnosis at the time of the MRI acquisition was noted. The imaging measures included the MRPI, cortical thickness, subcortical volumes, including the midbrain, pons, and superior cerebellar peduncle volumes. Multinomial logistic regression models (MLRM) combining different cortical and subcortical regions were defined to discriminate between PSP, CBD, and other pathologies. The areas under the receiver operating characteristic curves (AUROC) and cutoffs were calculated to differentiate between PSP, CBD, and other diseases. Results: Of the 326 included participants, 176 (54%) were male, and the mean (SD) age at MRI was 64.1 (8.0) years. The MRPI showed good diagnostic accuracy for the differentiation between PSP and all other pathologies (accuracy, 87%; AUROC, 0.90; 95% CI, 0.86-0.95) and between 4RT and other pathologies (accuracy, 80%; AUROC, 0.82; 95% CI, 0.76-0.87), but did not allow the discrimination of participants with CBD. Its diagnostic accuracy was lower in the subgroup of patients without the canonical PSP-Richardson syndrome (PSP-RS) or probable corticobasal syndrome (CBS) at MRI. MLRM combining cortical and subcortical measurements showed the highest accuracy for the differentiation between PSP and other pathologies (accuracy, 95%; AUROC, 0.98; 95% CI, 0.97-0.99), CBD and other pathologies (accuracy, 83%; AUROC, 0.86; 95% CI, 0.81-0.91), 4RT and other pathologies (accuracy, 89%; AUROC, 0.94; 95% CI, 0.92-0.97), and PSP and CBD (accuracy, 91%; AUROC, 0.95; 95% CI, 0.91-0.99), even in participants without PSP-RS or CBS at MRI. Conclusions and Relevance: In this study, the combination of widely available cortical and subcortical measures of atrophy on MRI discriminated between PSP, CBD, and other pathologies and could be used to support the diagnosis of 4RT in clinical practice.

Indexed as

Corticobasal DegenerationNeurodegenerative DiseasesSupranuclear Palsy, ProgressiveAtrophyCerebellumFemaleHumansMagnetic Resonance ImagingMaleProspective Studies

Identifiers

PMID35486397
PMCPMC9055455
OpenAlexW4225145940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.