Evidence map›Paper›PMID 34199151›Full record

ReviewCancers2021

Differentiating Glioblastomas from Solitary Brain Metastases: An Update on the Current Literature of Advanced Imaging Modalities.

Austin-John Fordham, Caitlin-Craft Hacherl, Neal Patel, Keri Jones, Brandon Myers, Mickey Abraham, Julian Gendreau

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

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 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

7 authors at 4 institutions in 1 country.

Austin-John FordhamSchool of Medicine, Mercer University School of Medicine, Savannah, GA 31404, USA.
Caitlin-Craft HacherlSchool of Medicine, Mercer University School of Medicine, Savannah, GA 31404, USA.
Neal PatelSchool of Medicine, Mercer University School of Medicine, Savannah, GA 31404, USA.
Keri JonesGraduate Medical Education, Eisenhower Army Medical Center, Augusta, GA 30905, USA.
Brandon MyersGraduate Medical Education, Eisenhower Army Medical Center, Augusta, GA 30905, USA.
Mickey AbrahamDepartment of Neurosurgery, University of California San Diego, La Jolla, CA 92093, USA.
Julian GendreauDepartment of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, USA.
Mercer University · USEisenhower Medical Center · USJohns Hopkins University · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiating between glioblastomas and solitary brain metastases proves to be a challenging diagnosis for neuroradiologists, as both present with imaging patterns consisting of peritumoral hyperintensities with similar intratumoral texture on traditional magnetic resonance imaging sequences. Early diagnosis is paramount, as each pathology has completely different methods of clinical assessment. In the past decade, recent developments in advanced imaging modalities enabled providers to acquire a more accurate diagnosis earlier in the patient's clinical assessment, thus optimizing clinical outcome. Dynamic susceptibility contrast has been optimized for detecting relative cerebral blood flow and relative cerebral blood volume. Diffusion tensor imaging can be used to detect changes in mean diffusivity. Neurite orientation dispersion and density imaging is an innovative modality detecting changes in intracellular volume fraction, isotropic volume fraction, and extracellular volume fraction. Magnetic resonance spectroscopy is able to assist by providing a metabolic descriptor while detecting variable ratios of choline/N-acetylaspartate, choline/creatine, and N-acetylaspartate/creatine. Finally, radiomics and machine learning algorithms have been devised to assist in improving diagnostic accuracy while often utilizing more than one advanced imaging protocol per patient. In this review, we provide an update on all the current evidence regarding the identification and differentiation of glioblastomas from solitary brain metastases.

Indexed as

arterial spin labellingdiffusion tensor imagingdiffusion-weighted imagingdynamic susceptibility contrastglioblastomaintracranialmachine learningmagnetic resonancemetastasisneurite orientation dispersion density

Identifiers

PMID34199151
PMCPMC8231515
OpenAlexW3167431104

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.