Evidence map›Paper›PMID 30535032›Full record

ReviewNeurosurgery2019

The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Robert H Press, Jim Zhong, Saumya S Gurbani, Brent D Weinberg, Bree R Eaton, Hyunsuk Shim, Hui-Kuo G Shu

Open access · hybridAbstract readReview
In one paragraph

Review in Neurosurgery, 2019. 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
0.4field-weighted citation impact, top 33% 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, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Interrogating Glioma-Associated Microglia and Macrophage Dynamics Under CSF-1R Therapy with Multitracer In Vivo PET/MRI.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  4. Article
  5. Article
  6. Review
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 2 institutions in 1 country.

Robert H PressDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Jim ZhongDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Saumya S GurbaniDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.
Brent D WeinbergDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.
Bree R EatonDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Hyunsuk ShimDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Hui-Kuo G ShuDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Emory University · USGeorgia Institute of Technology · US

Funding

Quantitative MRSI to predict early response to SAHA therapy in new GBM managementU01CA172027 · NCI · EMORY UNIVERSITY · PI BARKER, PETER B, HU, XIAOPING P · 2013 to 2017
$3.2M
Improved Whole-Brain Spectroscopic MRI for Radiation Treatment PlanningU01EB028145 · NIBIB · EMORY UNIVERSITY · PI COOPER, LEE, HAN, HUI · 2018 to 2020
$2.4M
Spectroscopic MRI to guide radiation dose escalation for glioblastoma patientsR01CA214557 · NCI · EMORY UNIVERSITY · PI SHIM, HYUNSUK, SHU, HUI-KUO · 2017 to 2019
$739k
NCI NIH HHS R01 CA214557NCI NIH HHS U01 CA172027NIBIB NIH HHS U01 EB028145
6 · The paper itself

Abstract

Radiation therapy (RT) plays a critical role in the overall management of many central nervous system (CNS) tumors. Advances in RT treatment planning, with techniques such as intensity modulated radiation therapy, volumetric modulated arc therapy, and stereotactic radiosurgery, now allow the delivery of highly conformal dose with great precision. These techniques rely on high-resolution 3-dimensional anatomical imaging modalities such as computed tomography or magnetic resonance imaging (MRI) scans to accurately and reliably define CNS targets and normal tissue avoidance structures. The integration of cross-sectional imaging into radiation oncology has directly translated into improvements in the therapeutic window of RT, and the union between radiation oncology and imaging is only expected to grow stronger. In addition, advanced imaging modalities including diffusion, perfusion, and spectroscopic MRIs as well as positron emission tomography (PET) scans with novel tracers are being utilized to provide additional insight into tumor biology and behavior beyond anatomy. Together, these standard and advanced imaging modalities hold significant potential to improve future RT delivery and response assessment. In this review, we will discuss the current utilization of standard/advanced imaging for CNS tumors from a radiation oncology perspective as well as the implications of novel MRI and PET modalities currently under investigation.

Indexed as

Brain NeoplasmsHumansNeuroimagingRadiation OncologyBiological imagingBrain metastasesGliomaMRIPET

Identifiers

PMID30535032
PMCPMC6904726
OpenAlexW2905000647

What OpenQuestion holds

Textmetadata
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.