ArticleJournal of neuro-oncology2011
Differential diagnosis by unenhanced FLAIR T2-weighted magnetic resonance images between solitary high grade gliomas and cerebral metastases appearing as contrast-enhancing cortico-subcortical lesions.
Article in Journal of neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- The emerging potential of quantitative MRI biomarkers for the early prediction of brain metastasis response after stereotactic radiosurgery: a scoping review.Quantitative imaging in medicine and surgery · 2023Article
- Supramarginal Resection for Glioblastoma: It Is Time to Set Boundaries! A Critical Review on a Hot Topic.Brain sciences · 2022Review
- FLAIRectomy: Resecting beyond the Contrast Margin for Glioblastoma.Brain sciences · 2022Article
- Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases.Frontiers in oncology · 2020Article
- Immunotherapy of brain metastases: breaking a "dogma".Journal of experimental & clinical cancer research : CR · 2019Review
- How we read: the combined use of MRI and novel PET tracers for the characterisation and treatment planning of masses in neuro-oncology.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019Review
- Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research.AJNR. American journal of neuroradiology · 2019Review
- The incidence and significance of multicentric noncontrast-enhancing lesions distant from a histologically-proven glioblastoma.Journal of neuro-oncology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim was to assess the value of unenhanced fluid-attenuated inversion recovery T2-weighted sequences (FLAIR-T2) in the differential diagnosis between solitary high-grade gliomas (HGG) and cerebral metastases (CM) appearing as contrast-enhancing cortico-subcortical lesions of the brain. In 69 patients with a contrast-enhancing cortico-subcortical brain lesion (43 HGG, and 26 CM), unenhanced FLAIR-T2 and gadolinium-enhanced FLAIR T1-weighted (Gd-FLAIR-T1) axial images have been reviewed for the involvement of the cortex adjacent to the contrast-enhancing lesion. In 27 (62.79%) out of 43 HGG, and 3 (11.53%) out of 26 CM, the cortex adjacent to the contrast-enhancing lesion showed high signal intensity on unenhanced FLAIR-T2 without enhancement at Gd-FLAIR-T1. Fischer's exact probability test was P = 0.0003 when applied to HGG versus CM categories, indicating a significant difference. The high signal intensity on unenhanced FLAIR-T2 without gadolinium-enhancement of the cortex adjacent to the enhancing lesion is more frequently associated with HGG than CM.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.