Evidence map›Paper›PMID 33915813›Full record

ReviewJournal of clinical medicine2021

MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift.

Ahmed Habib, Nicolina Jovanovich, Meagan Hoppe, Murat Ak, Priyadarshini Mamindla, Rivka R Colen, Pascal O Zinn

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.2field-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

26 citing papers in PubMed, 39 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 1 institution in 1 country.

Ahmed HabibDepartment of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.ORCID 0000-0003-4908-6987
Nicolina JovanovichHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Meagan HoppeHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Murat AkHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.ORCID 0000-0001-7384-478X
Priyadarshini MamindlaHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Rivka R ColenHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Pascal O ZinnDepartment of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
UPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
Hillman cancer center startup funding from The University of Pittsburgh Hillman Cancer CenterNCI NIH HHS P30 CA047904the Hillman Cancer Center's NCI Cancer Center Support Grant (CCSG) P30CA047904
6 · The paper itself

Abstract

Low-grade gliomas (LGGs) are tumors that affect mostly adults. These neoplasms are comprised mainly of oligodendrogliomas and diffuse astrocytomas. LGGs remain vexing to current management and therapeutic modalities although they exhibit more favorable survival rates compared with high-grade gliomas (HGGs). The specific genetic subtypes that these tumors exhibit result in variable clinical courses and the need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists and neurosurgeons. Currently, the diagnosis of an LGG pivots mainly around the preliminary radiological findings and the subsequent definitive surgical diagnosis (via surgical sampling). The introduction of radiomics as a high throughput quantitative imaging technique that allows for improved diagnostic, prognostic and predictive indices has created more interest for such techniques in cancer research and especially in neurooncology (MRI-based classification of LGGs, predicting Isocitrate dehydrogenase (

Indexed as

brain tumorslow-grade gliomamachine learningradiogenomicsradiomics

Identifiers

PMID33915813
PMCPMC8036428
OpenAlexW3141049265

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.