Evidence map›Paper›PMID 35453858›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Comparison of Qualitative and Quantitative Analyses of MR-Arterial Spin Labeling Perfusion Data for the Assessment of Pediatric Patients with Focal Epilepsies.

Domenico Tortora, Matteo Cataldi, Mariasavina Severino, Alessandro Consales, Mattia Pacetti, Costanza Parodi, Fiammetta Sertorio, Antonia Ramaglia, Erica Cognolato, Giulia Nobile and 9 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Head to head comparison between arterial spin labelling MRI and [Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Observational
  3. Review
  4. Review
  5. Magnetic Resonance-guided Laser interstitial thermal therapy (MR-gLiTT) in Pediatric Neurosurgery: italian perspective and literature review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. MRI Data Analysis in Malformations of Cortical Development.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. Review
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

19 authors at 2 institutions in 1 country.

Domenico TortoraNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0002-5621-4046
Matteo CataldiChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Mariasavina SeverinoNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Alessandro ConsalesDivision of Neurosurgery, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0002-4354-6906
Mattia PacettiDivision of Neurosurgery, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Costanza ParodiNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Fiammetta SertorioNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0002-5926-1462
Antonia RamagliaNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Erica CognolatoChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Giulia NobileChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Margherita MancardiChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Giulia PratoChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0001-6634-2474
Laura SiriChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Thea GiacominiChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Pasquale StrianoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Child and Maternal Health (DINOGMI), University of Genoa, 16147 Genoa, Italy.
Dario ArnaldiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Child and Maternal Health (DINOGMI), University of Genoa, 16147 Genoa, Italy.ORCID 0000-0001-6823-6069
Gianluca PiatelliDivision of Neurosurgery, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Andrea RossiNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0001-8575-700X
Lino NobiliChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0001-9317-5405
Istituto Giannina Gaslini · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of MR Arterial-Spin-Labeling Cerebral Blood Flow maps (ASL-CBF) in the assessment of pediatric focal epilepsy is still debated. We aim to compare the Seizure Onset Zone (SOZ) detection rate of three methods of evaluation of ASL-CBF: 1) qualitative visual (qCBF), 2) z-score voxel-based quantitative analysis of index of asymmetry (AI-CBF), and 3) z-score voxel-based cluster analysis of the quantitative difference of patient’s CBF from the normative data of an age-matched healthy population (cCBF). Interictal ASL-CBF were acquired in 65 pediatric patients with focal epilepsy: 26 with focal brain lesions and 39 with a normal MRI. All hypoperfusion areas visible in at least 3 contiguous images of qCBF analysis were identified. In the quantitative evaluations, clusters with a significant z-score AI-CBF ≤ −1.64 and areas with a z-score cCBF ≤ −1.64 were considered potentially related to the SOZ. These areas were compared with the SOZ defined by the anatomo-electro-clinical data. In patients with a positive MRI, SOZ was correctly identified in 27% of patients using qCBF, 73% using AI-CBF, and 77% using cCBF. In negative MRI patients, SOZ was identified in 18% of patients using qCBF, in 46% using AI-CBF, and in 64% using cCBF (p < 0.001). Quantitative analyses of ASL-CBF maps increase the detection rate of SOZ compared to the qualitative method, principally in negative MRI patients.

Indexed as

arterial spin labelingfocal epilepsymagnetic resonanceperfusionseizure onset zone

Identifiers

PMID35453858
PMCPMC9032819
OpenAlexW4220787861

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.