Evidence map›Paper›PMID 35700041›Full record

ArticleEuropean journal of neurology2022

Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms.

Sonia Mazzucchi, Eleonora Del Prete, Mauro Costagli, Daniela Frosini, Davide Paoli, Gianmichele Migaleddu, Paolo Cecchi, Graziella Donatelli, Riccardo Morganti, Gabriele Siciliano and 2 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2022. 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
2.5field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Sonia MazzucchiNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Eleonora Del PreteNeurology Unit, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Mauro CostagliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.
Daniela FrosiniNeurology Unit, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Davide PaoliNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Gianmichele MigaledduNeuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Paolo CecchiNeuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Graziella DonatelliNeuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.ORCID 0000-0002-5325-0746
Riccardo MorgantiSection of Statistics, University Hospital of Pisa, Pisa, Italy.
Gabriele SicilianoNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Mirco CosottiniImago7 Research Foundation, Pisa, Italy.
Roberto CeravoloNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.ORCID 0000-0003-1412-9406
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITFondazione Stella Maris · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn the quest for in vivo diagnostic biomarkers to discriminate Parkinson's disease (PD) from progressive supranuclear palsy (PSP) and multiple system atrophy (MSA, mainly p phenotype), many advanced magnetic resonance imaging (MRI) techniques have been studied. Morphometric indices, such as the Magnetic Resonance Parkinsonism Index (MRPI), demonstrated high diagnostic value in the comparison between PD and PSP. The potential of quantitative susceptibility mapping (QSM) was hypothesized, as increased magnetic susceptibility (Δχ) was reported in the red nucleus (RN) and medial part of the substantia nigra (SNImed) of PSP patients and in the putamen of MSA patients. However, disease-specific susceptibility values for relevant regions of interest are yet to be identified. The aims of the study were to evaluate the diagnostic potential of a multimodal MRI protocol combining morphometric and QSM imaging in patients with determined parkinsonisms and to explore its value in a population of undetermined cases.

methodPatients with suspected degenerative parkinsonism underwent clinical evaluation, 3 T brain MRI and clinical follow-up. The MRPI was manually calculated on T1-weighted images. QSM maps were generated from 3D multi-echo T2*-weighted sequences.

resultsIn determined cases the morphometric evaluation confirmed optimal diagnostic accuracy in the comparison between PD and PSP but failed to discriminate PD from MSA-p. Significant nigral and extranigral differences were found with QSM. RN Δχ showed excellent diagnostic accuracy in the comparison between PD and PSP and good accuracy in the comparison of PD and MSA-p. Optimal susceptibility cut-off values of RN and SNImed were tested in undetermined cases in addition to MRPI.

conclusionsA combined use of morphometric imaging and QSM could improve the diagnostic phase of degenerative parkinsonisms.

Indexed as

Multiple System AtrophyParkinson DiseaseParkinsonian DisordersSupranuclear Palsy, ProgressiveDiagnosis, DifferentialHumansMagnetic Resonance Imagingbrain MRImorphometric indexesparkinsonismsquantitative susceptibility mapping

Identifiers

PMID35700041
PMCPMC9545010
OpenAlexW4282824729

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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.