Evidence map›Paper›PMID 33983570›Full record

ArticleJournal of neuro-oncology2021

3D whole-brain metabolite imaging to improve characterization of low-to-intermediate grade gliomas.

Jim Zhong, Vicki Huang, Saumya S Gurbani, Karthik Ramesh, J Scott Cordova, Eduard Schreibmann, Hui-Kuo G Shu, Jeffrey Olson, Hui Han, Alexander Giuffrida and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 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 2 institutions in 1 country.

Jim ZhongDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Vicki HuangDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Saumya S GurbaniDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Karthik RameshDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
J Scott CordovaDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Eduard SchreibmannDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Hui-Kuo G ShuDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.
Jeffrey OlsonDepartment of Neurosurgery, Winship Cancer Institute of Emory University, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Hui HanBiomedical Sciences and Biomedical Imaging Research Institute, Cedars Sinai, Los Angeles, CA, 90048, USA.
Alexander GiuffridaDepartment of Biomedical Engineering, Winship Cancer Institute of Emory University, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Hyunsuk ShimDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA. hshim@emory.edu.
Brent D WeinbergDepartment of Radiology and Imaging Sciences, Winship Cancer Institute of Emory University, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA. brent.d.weinberg@emory.edu.ORCID http://orcid.org/0000-0002-7992-1747
Emory University · USCedars-Sinai Medical Center · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
Improved Whole-Brain Spectroscopic MRI for Radiation Treatment PlanningU01EB028145 · NIBIB · EMORY UNIVERSITY · PI COOPER, LEE, HAN, HUI · 2018 to 2020
$2.4M
Unified Shim-RF Coil Technology for Improved Whole-Brain Spectroscopic MRI for Neurological DisordersR01NS121544 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI DOUGLAS J BALLON, Jonathan Paul Dyke · 2021 to 2026
$2.3M
Spectroscopic MRI to guide radiation dose escalation for glioblastoma patientsR01CA214557 · NCI · EMORY UNIVERSITY · PI SHIM, HYUNSUK, SHU, HUI-KUO · 2017 to 2019
$739k
Automated imaging analysis tools to guide clinical decision making in brain tumor patientsF31CA247564 · NCI · EMORY UNIVERSITY · PI RAMESH, KARTHIK · 2020 to 2024
$235k
NCI NIH HHS BRP U01 EB028145NCI NIH HHS R01 CA214557NIBIB NIH HHS U01 EB028145NIGMS NIH HHS T32 GM008169NINDS NIH HHS R01 NS121544
6 · The paper itself

Abstract

purposeMRI is the standard imaging modality used for diagnosis, treatment planning, and post-treatment management of gliomas. Contrast-enhanced T1-weighted (CE-T1w) MRI is used to plan biopsy and radiation for grade IV gliomas but is less effective for grade II and III gliomas (i.e., low-to-intermediate grade gliomas) which may have minimal or no enhancement. Magnetic resonance spectroscopic imaging (MRSI) is an advanced MRI technique that has been shown, to improve diagnostic yield of biopsy and target delineation for grade IV glioma. The purpose of this study is to determine if MRSI can improve characterization and tissue sampling of low-to-intermediate grade gliomas.

methodsProspective grade II and grade III glioma patients were enrolled to undergo whole brain high-resolution MRSI prior to tissue sampling. Choline/N-acetyl-aspartate (Cho/NAA) maps were overlaid on anatomic imaging and imported into stereotactic biopsy software. Patients were treated with standard-of-care surgery and radiation. Volumes of spectroscopically abnormal tissue were generated and compared with anatomic imaging and areas of enhancing recurrence on follow-up imaging.

resultsTen patients had pathologic diagnosis of grade II (n = 4) or grade III (n = 6) with a median follow-up of 27.3 months. Five patients had recurrence, and regions of recurrence were found to overlap with metabolically abnormal regions on MRSI at the time of diagnosis.

conclusionMRSI in low-to-intermediate grade glioma patients is predictive of areas of subsequent recurrence. Larger studies are needed to determine if MRSI can be used to guide surgical and radiation treatment planning in these patients.

Indexed as

Brain NeoplasmsGliomaBrainHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProspective StudiesAstrocytomaCholineGliomaMagnetic resonance imagingMagnetic resonance spectroscopyRadiation oncology

Identifiers

PMID33983570
PMCPMC8237861
OpenAlexW3163881967

What OpenQuestion holds

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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.