Evidence map›Paper›PMID 35857249›Full record

ArticleJournal of neuro-oncology2022

The landscape of brain tumor mimics in neuro-oncology practice.

Lalanthica V Yogendran, Tuba Kalelioglu, Joseph H Donahue, Haroon Ahmad, Kester A Phillips, Nicole M Calautti, Maria-Beatriz Lopes, Ashok R Asthagiri, Benjamin Purow, David Schiff and 2 more

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Article in Journal of neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 10 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.

Lalanthica V YogendranDivision of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
Tuba KaleliogluDepartment of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA.
Joseph H DonahueDepartment of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA.
Haroon AhmadDepartment of Neurology, University of Maryland, Baltimore, MD, USA.
Kester A PhillipsDepartment of Neurology, The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment at Swedish Neuroscience Institute, Seattle, WA, USA.
Nicole M CalauttiDivision of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
Maria-Beatriz LopesDepartment of Pathology, Divisions of Neuropathology and Molecular Diagnostics, University of Virginia, Charlottesville, VA, USA.
Ashok R AsthagiriDepartment of Neurosurgery, University of Virginia, Charlottesville, VA, USA.
Benjamin PurowDivision of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
David SchiffDivision of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
Sohil H PatelDepartment of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA.
Camilo E FadulDivision of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA. CEF3W@hscmail.mcc.virginia.edu.
University of Virginia · USSwedish Medical Center · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveDifferentiating neoplastic and non-neoplastic brain lesions is essential to make management recommendations and convey prognosis, but the distinction between brain tumors and their mimics in practice may prove challenging. The aim of this study is to provide the incidence of brain tumor mimics in the neuro-oncology setting and describe this patient subset.

methodsRetrospective study of adult patients referred to the Division of Neuro-oncology for a presumed diagnosis of brain tumor from January 1, 2005 through December 31, 2017, who later satisfied the diagnosis of a non-neoplastic entity based on neuroimaging, clinical course, and/or histopathology evaluation. We classified tumor mimic entities according to clinical, radiologic, and laboratory characteristics that correlated with the diagnosis.

resultsThe incidence of brain tumor mimics was 3.4% (132/3897). The etiologies of the non-neoplastic entities were vascular (35%), inflammatory non-demyelinating (26%), demyelinating (15%), cysts (10%), infectious (9%), and miscellaneous (5%). In our study, 38% of patients underwent biopsy to determine diagnosis, but in 26%, the biopsy was inconclusive. DISCUSSION: Brain tumor mimics represent a small but important subset of the neuro-oncology referrals. Vascular, inflammatory, and demyelinating etiologies represent two-thirds of cases. Recognizing the clinical, radiologic and laboratory characteristics of such entities may improve resource utilization and prevent unnecessary as well as potentially harmful diagnostic and therapeutic interventions.

Indexed as

Brain NeoplasmsCystsAdultBiopsyHumansRetrospective StudiesBiopsyBrain tumor mimicsDifferential diagnosis

Identifiers

PMID35857249
OpenAlexW4286005850

What OpenQuestion holds

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Registered trials

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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.