Evidence map›Paper›PMID 31382240›Full record

ArticleNeuroImage. Clinical2019

Medial temporal lobe atrophy and posterior atrophy scales normative values.

Matteo Cotta Ramusino, Daniele Altomare, Ruggero Bacchin, Silvia Ingala, Claudio Bnà, Matteo Bonetti, Alfredo Costa, Frederik Barkhof, Valentina Nicolosi, Cristina Festari and 2 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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  4. Predictor model for mild cognitive impairment in Parkinson's disease using visual rating scales.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  9. CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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  12. The A/T/N model applied through imaging biomarkers in a memory clinic.European journal of nuclear medicine and molecular imaging · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matteo Cotta RamusinoCenter for Cognitive and Behavioral Disorders, IRCCS Mondino Foundation, Department of Brain and Behavior, University of Pavia, Italy; LANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland. Electronic address: matteo.cottaramusino01@universitadipavia.it.
Daniele AltomareLANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland.
Ruggero BacchinLANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Neurology, University of Verona, Italy.
Silvia IngalaDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands. Electronic address: s.ingala@vumc.nl.
Claudio BnàNeuradiology, Fondazione Poliambulanza, Brescia, Italy. Electronic address: claudio.bna@poliambulanza.it.
Matteo BonettiNeuroradiology, Istituto Clinico Città di Brescia, Brescia, Italy.
Alfredo CostaCenter for Cognitive and Behavioral Disorders, IRCCS Mondino Foundation, Department of Brain and Behavior, University of Pavia, Italy. Electronic address: alfredo.costa@unipv.it.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; Institutes of Neurology & Healthcare Engineering, UCL, London, London, UK. Electronic address: f.barkhof@vumc.nl.
Valentina NicolosiLANE-Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Cristina FestariLANE-Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Giovanni B FrisoniLANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland; LANE-Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic, University Hospital of Geneva, Geneva, Switzerland.
Marina BoccardiLANVIE-Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland; LANE-Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Electronic address: Marina.Boccardi@unige.ch.

Funding

The Dunhill Medical Trust R380R/1114
6 · The paper itself

Abstract

objectivesThe medial temporal lobe atrophy (MTA) and the posterior atrophy (PA) scales allow to assess the degree hippocampal and parietal atrophy from magnetic resonance imaging (MRI) scans. Despite reliable, easy and widespread employment, appropriate normative values are still missing. We aim to provide norms for the Italian population.

methodsTwo independent raters assigned the highest MTA and PA score between hemispheres, based on 3D T1-weighted MRI of 936 Italian Brain Normative Archive subjects (age: mean ± SD: 50.2 ± 14.7, range: 20-84; MMSE>26 or CDR = 0). The inter-rater agreement was assessed with the absolute intraclass correlation coefficient (aICC). We assessed the association between MTA and PA scores and sociodemographic features and APOE status, and normative data were established by age decade based on percentile distributions.

resultsRaters agreed in 90% of cases for MTA (aICC = 0.86; 95% CI = 0.69-0.98) and in 86% for PA (aICC = 0.82; 95% CI = 0.58-0.98). For both rating scales, score distribution was skewed, with MTA = 0 in 38% of the population and PA = 0 in 52%, while a score ≥ 2 was only observed in 12% for MTA and in 10% for PA. Median denoted overall hippocampal (MTA: median = 1, IQR = 0-1) and parietal (PA: median = 0, IQR = 0-1) integrity. The 90th percentile of the age-specific distributions increased from 1 (at age 20-59) for both scales, to 2 for PA over age 60, and up to 4 for MTA over age 80. Gender, education and APOE status did not significantly affect the percentile distributions in the whole sample, nor in the subset over age 60.

conclusionsOur normative data for the MTA and PA scales are consistent with previous studies and overcome their main limitations (in particular uneven representation of ages and missing percentile distributions), defining the age-specific norms to be considered for proper brain atrophy assessment.

Indexed as

AdultAgedAged, 80 and overAgingAtrophyFemaleHumansItalyMagnetic Resonance ImagingMaleMiddle AgedNervous System DiseasesReference ValuesTemporal LobeYoung AdultMagnetic resonance imagingMedial temporal atrophyNormative valuesPosterior atrophyVisual assessment

Identifiers

PMID31382240
PMCPMC6690662

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.