Evidence map›Paper›PMID 38172589›Full record

ArticleScientific reports2024

Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI.

Emanuele Pravatà, Andrea Diociasi, Riccardo Navarra, Luca Carmisciano, Maria Pia Sormani, Luca Roccatagliata, Andrea Chincarini, Alessandra Ossola, Andrea Cardia, Alessandro Cianfoni and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

13 authors at 3 institutions in 2 countries.

Emanuele Pravatà *Neurocenter of Southern Switzerland, EOC, Neuroradiology, Lugano, Switzerland. emanuele.pravata@eoc.ch.ORCID 0000-0002-5225-2993
Andrea Diociasi *Department of Health Sciences, University of Genova, Genova, Italy.
Riccardo NavarraInstitute for Advanced Biomedical Technology (I.T.A.B.), Chieti, Italy.
Luca CarmiscianoDepartment of Health Sciences, University of Genova, Genova, Italy.
Maria Pia SormaniDepartment of Health Sciences, University of Genova, Genova, Italy.
Luca RoccatagliataDepartment of Health Sciences, University of Genova, Genova, Italy.
Andrea ChincariniIstituto Nazionale Di Fisica Nucleare (INFN), Genova, Italy.
Alessandra OssolaNeurocenter of Southern Switzerland, EOC, Ophthalmology, Lugano, Switzerland.
Andrea CardiaNeurocenter of Southern Switzerland, EOC, Neurosurgery, Lugano, Switzerland.
Alessandro CianfoniNeurocenter of Southern Switzerland, EOC, Neuroradiology, Lugano, Switzerland.
Alain Kaelin-LangFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Claudio GobbiFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Chiara ZeccaFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Laboratory for Biomedical Neurosciences · CHUniversity of Genoa · ITIstituto Nazionale di Fisica Nucleare · IT

Funding

Velux Stiftung (Velux Foundation) 1384
6 · The paper itself

Abstract

Anterior Visual Pathway (aVP) damage may be linked to diverse inflammatory, degenerative and/or vascular conditions. Currently however, a standardized methodological framework for extracting MRI biomarkers of the aVP is not available. We used high-resolution, 3-D MRI data to generate a probabilistic anatomical atlas of the normal aVP and its intraorbital (iOrb), intracanalicular (iCan), intracranial (iCran), optic chiasm (OC), and tract (OT) subdivisions. We acquired 0.6 mm

Indexed as

Vascular DiseasesVisual PathwaysBiometryHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingOptic Chiasm

Identifiers

PMID38172589
PMCPMC10764933
OpenAlexW4390572343

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.