Evidence map›Paper›PMID 26911151›Full record

ArticleNeuro-oncology2016

Magnetic resonance analysis of malignant transformation in recurrent glioma.

Llewellyn E Jalbert, Evan Neill, Joanna J Phillips, Janine M Lupo, Marram P Olson, Annette M Molinaro, Mitchel S Berger, Susan M Chang, Sarah J Nelson

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  13. Prognostic value of molecular and imaging biomarkers in patients with supratentorial glioma.European journal of nuclear medicine and molecular imaging · 2017
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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

9 authors at 2 institutions in 1 country.

Llewellyn E JalbertJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Evan NeillJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Joanna J PhillipsJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Janine M LupoJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Marram P OlsonJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Annette M MolinaroJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Mitchel S BergerJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Susan M ChangJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
Sarah J NelsonJoint Graduate Program in Bioengineering (L.E.J., S.J.N.), Department of Radiology & Biomedical Imaging (E.N., J.M.L., M.P.O., S.J.N.), Department of Pathology (J.J.P.), Department of Neurological Surgery (J.J.P., A.M.M., M.S.B., S.M.C.), Department of Biostatistics and Epidemiology (A.M.M.),  University of California, San Francisco, San Francisco, California.
University of California, San Francisco · USNeurological Surgery · US

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
Training Program in Translational Brain Tumor ResearchT32CA151022 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2010 to 2026
$6.6M
NCI NIH HHS P50 CA097257NCI NIH HHS T32 CA151022
6 · The paper itself

Abstract

backgroundPatients with low-grade glioma (LGG) have a relatively long survival, and a balance is often struck between treating the tumor and impacting quality of life. While lesions may remain stable for many years, they may also undergo malignant transformation (MT) at the time of recurrence and require more aggressive intervention. Here we report on a state-of-the-art multiparametric MRI study of patients with recurrent LGG.

methodsOne hundred and eleven patients previously diagnosed with LGG were scanned at either 1.5 T or 3 T MR at the time of recurrence. Volumetric and intensity parameters were estimated from anatomic, diffusion, perfusion, and metabolic MR data. Direct comparisons of histopathological markers from image-guided tissue samples with metrics derived from the corresponding locations on the in vivo images were made. A bioinformatics approach was applied to visualize and interpret these results, which included imaging heatmaps and network analysis. Multivariate linear-regression modeling was utilized for predicting transformation.

resultsMany advanced imaging parameters were found to be significantly different for patients with tumors that had undergone MT versus those that had not. Imaging metrics calculated at the tissue sample locations highlighted the distinct biological significance of the imaging and the heterogeneity present in recurrent LGG, while multivariate modeling yielded a 76.04% accuracy in predicting MT.

conclusionsThe acquisition and quantitative analysis of such multiparametric MR data may ultimately allow for improved clinical assessment and treatment stratification for patients with recurrent LGG.

Indexed as

AdolescentAdultAgedBrainBrain NeoplasmsCell Transformation, NeoplasticDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleGliomaHumansImage Interpretation, Computer-AssistedKaplan-Meier EstimateMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalecancer imaginglow-grade gliomamagnetic resonancemalignant transformationspectroscopy

Identifiers

PMID26911151
PMCPMC4933480
OpenAlexW2302885032

What OpenQuestion holds

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LicenceCC BY-NC
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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.