Evidence map›Paper›PMID 38993953›Full record

ReviewRadiologia brasileira

The dark side of T2: central nervous system lesions with low signal intensity on T2-weighted imaging.

Pedro Carpentieri-Primo, Luiza Nahoum, Louise Almeida, Fernando Nacur, Sérgio Ferreira Alves Júnior, Nina Ventura

Abstract readReview
In one paragraph

Review in Radiologia brasileira. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Pedro Carpentieri-PrimoUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-1491-7496
Luiza NahoumUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0001-8709-0106
Louise AlmeidaUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0009-0005-1240-4760
Fernando NacurUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0009-0004-9932-2890
Sérgio Ferreira Alves JúniorUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0001-6249-450X
Nina VenturaUniversidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-2364-1612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of central nervous system diseases show high signal intensity on T2-weighted magnetic resonance imaging. Diseases of the central nervous system with low signal intensity are less common, which makes it a finding that helps narrow the differential diagnosis. This was a retrospective analysis of brain and spine magnetic resonance imaging examinations in which that finding was helpful in the diagnostic investigation. We selected the cases of patients examined between 2015 and 2022. All diagnoses were confirmed on the basis of the clinical-radiological correlation or the histopathological findings. We obtained images of 14 patients with the following central nervous system diseases: arteriovenous malformation; cavernous malformation; metastasis from lymphoma; medulloblastoma; embryonal tumor; metastasis from melanoma; Rathke's cleft cyst; Erdheim-Chester disease; aspergillosis; paracoccidioidomycosis; tuberculosis; syphilis; immunoglobulin G4-related disease; and metastasis from a pulmonary neuroendocrine tumor. We described lesions of different etiologies in which the T2-weighted imaging profile helped narrow the differential diagnosis and facilitated the definitive diagnosis.

Indexed as

Central nervous systemDiagnosis, differentialMagnetic resonance imagingRadiology

Identifiers

PMID38993953
PMCPMC11235073

What OpenQuestion holds

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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 OpenQuestion graph.