Evidence map›Paper›PMID 42766053›Full record

ArticleEuropean radiology experimental2026

T1 mapping in Alzheimer's disease: a quantitative MRI study with amyloid-PET correlation.

Lorenzo Gualco, Noemi Montobbio, Mattia Losa, Mauro Costagli, Federico Massa, Beatrice Orso, Lucia Argenti, Enrico Peira, Andrea Chincarini, Silvia Morbelli and 17 more

Abstract read
In one paragraph

Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Lorenzo GualcoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Noemi MontobbioDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Mattia LosaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Mauro CostagliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Federico MassaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Beatrice OrsoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Lucia ArgentiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Enrico PeiraNational Institute of Nuclear Physics (INFN) Genoa Section, Genoa, Italy.
Andrea ChincariniNational Institute of Nuclear Physics (INFN) Genoa Section, Genoa, Italy.
Silvia MorbelliNuclear Medicine Unit, Città della Salute e della Scienza di Torino, Turin, Italy.
Stefano RaffaAOM - IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Luca SofiaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Gianmario SambucetiDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Luigi LorenziniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Emanuele PravatàDepartment of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Massimo CauloDepartment of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Martina PulzeDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Dario ArnaldiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Andrea DiociasiDepartment of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy.
Domenico ZacàScientific Collaborations and Strategic Partnerships, Siemens Healthcare S.r.l., Milan, Italy.
Gian Franco PireddaSwiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland.
Tom HilbertSwiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland.
Tobias KoberResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Marco Bozzali'Rita Levi Montalcini' Department of Neuroscience, University of Torino, Turin, Italy.
Maria Pia SormaniDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Matteo PardiniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy. matteo.pardini@unige.it.ORCID http://orcid.org/0000-0002-4740-1982
Luca RoccatagliataDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PNRR-MCNT2-2023-12377527 - CUP C13C23001070006
6 · The paper itself

Abstract

objectivesQuantitative T1 mapping (qT1) is a magnetic resonance imaging (MRI) biomarker of brain microstructural changes; however, its application in Alzheimer disease (AD) remains limited. We compared cortico-limbic qT1 values between patients with AD and healthy controls (HCs) and examined their relationship with amyloid burden measured by amyloid-positron emission tomography (PET). MATERIALS AND

methodsWe retrospectively identified subjects with mild cognitive impairment due to AD and HCs who underwent 3-T MRI, including a compressed-sensing MP2RAGE sequence, generating three-dimensional T1-weighted images and qT1 maps. Amyloid-PET was available for 16 patients. Hippocampal qT1 and volume were compared between groups, adjusting for age and sex; analyses were repeated after stratifying patients by Mini-Mental State Examination (MMSE). Voxel-wise group comparison was performed using SPM 12. The qT1-standardized uptake value ratio (SUVr) association was assessed with a linear mixed-effects model applied to voxel-level data, accounting for partial volume effects.

resultsThirty-three AD subjects, aged 69.3 ± 8.2 years (mean ± standard deviation), 18 females, and 22 HCs aged 70.5 ± 13.3 years, 15 females, were evaluated. Regional hippocampal qT1 was higher in AD (1,398 ± 53.0 ms versus 1,349 ± 53.4 ms; p = 0.002), without difference across cognitive subgroups stratified by MMSE. AD subjects exhibited increased qT1 in mesial temporal gray matter and temporo-parieto-occipital cortices (1,448 ± 55.7 ms versus 1,344 ± 51.6 ms; p < 0.001). Voxel-level modelling revealed a positive association between qT1 and amyloid-PET SUVr (p < 0.001; d = 0.223).

conclusionqT1 mapping can be sensitive to changes related to brain amyloidosis, supporting its role as a promising, noninvasive imaging biomarker in AD. KEY POINTS: Question Can qT1 mapping detect AD-related microstructural changes in the cortico-limbic gray matter? Findings Participants with AD showed increased cortico-limbic qT1 values. A subtle yet consistent positive association was observed between cortical qT1 values and amyloid-PET SUVr. Relevance statement qT1 mapping captures microstructural tissue alterations related to amyloid pathology in Alzheimer's disease, supporting its role as a potential non-invasive imaging biomarker in this condition.

Indexed as

Alzheimer DiseaseAmyloidMagnetic Resonance ImagingPositron-Emission TomographyAgedAged, 80 and overCognitive DysfunctionFemaleHumansMaleRetrospective StudiesAmyloidAlzheimer diseaseBiomarkersCognitive dysfunctionMagnetic resonance imagingPositron-emission tomography

Identifiers

PMID42766053
PMCPMC13593977

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