Evidence map›Paper›PMID 36800342›Full record

ArticlePloS one2023

The relationship between radiation dose and bevacizumab-related imaging abnormality in patients with brain tumors: A voxel-wise normal tissue complication probability (NTCP) analysis.

Mia Salans, Jordan Houri, Roshan Karunamuni, Austin Hopper, Rachel Delfanti, Tyler M Seibert, Naeim Bahrami, Yasamin Sharifzadeh, Carrie McDonald, Anders Dale and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 1 country.

Mia SalansDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-5195-5590
Jordan HouriDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Roshan KarunamuniDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Austin HopperDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Rachel DelfantiDepartment of Radiology, University of California San Diego, La Jolla, California, United States of America.
Tyler M SeibertDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Naeim BahramiDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Yasamin SharifzadehDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Carrie McDonaldDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Anders DaleDepartment of Radiology, University of California San Diego, La Jolla, California, United States of America.
Vitali MoiseenkoDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.
Nikdokht FaridDepartment of Radiology, University of California San Diego, La Jolla, California, United States of America.
Jona A Hattangadi-GluthDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-8222-606X
University of California San Diego · USDuke University · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
UC San Diego Clinical and Translational Research InstituteKL2TR001444 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2024
$15.4M
UC San Diego Clinical and Translational Research InstituteTL1TR001443 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2019
$3.4M
Improving assessment of prostate cancer bone metastases using advanced diffusion imagingK08EB026503 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEIBERT, TYLER MICHAEL · 2019 to 2022
$805k
Image-Guided Cognitive-Sparing Radiosurgery for Brain Metastases: Avoidance of Eloquent White Matter and Hippocampal RegionsR01CA238783 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HATTANGADI-GLUTH, JONA A · 2019 to 2021
$737k
NCATS NIH HHS KL2 TR001444NCATS NIH HHS TL1 TR001443NCATS NIH HHS UL1 TR000100NCATS NIH HHS UL1 TR001442NCI NIH HHS R01 CA238783NIBIB NIH HHS K08 EB026503
6 · The paper itself

Abstract

purposeBevacizumab-related imaging abnormality (BRIA), appearing as areas of restricted diffusion on magnetic resonance imaging (MRI) and representing atypical coagulative necrosis pathologically, has been observed in patients with brain tumors receiving radiotherapy and bevacizumab. We investigated the role of cumulative radiation dose in BRIA development in a voxel-wise analysis.

methodsPatients (n = 18) with BRIA were identified. All had high-grade gliomas or brain metastases treated with radiotherapy and bevacizumab. Areas of BRIA were segmented semi-automatically on diffusion-weighted MRI with apparent diffusion coefficient (ADC) images. To avoid confounding by possible tumor, hypoperfusion was confirmed with perfusion imaging. ADC images and radiation dose maps were co-registered to a high-resolution T1-weighted MRI and registration accuracy was verified. Voxel-wise normal tissue complication probability analyses were performed using a logistic model analyzing the relationship between cumulative voxel equivalent total dose in 2 Gy fractions (EQD2) and BRIA development at each voxel. Confidence intervals for regression model predictions were estimated with bootstrapping.

resultsAmong 18 patients, 39 brain tumors were treated. Patients received a median of 4.5 cycles of bevacizumab and 1-4 radiation courses prior to BRIA appearance. Most (64%) treated tumors overlapped with areas of BRIA. The median proportion of each BRIA region of interest volume overlapping with tumor was 98%. We found a dose-dependent association between cumulative voxel EQD2 and the relative probability of BRIA (β0 = -5.1, β1 = 0.03 Gy-1, γ = 1.3).

conclusionsBRIA is likely a radiation dose-dependent phenomenon in patients with brain tumors receiving bevacizumab and radiotherapy. The combination of radiation effects and tumor microenvironmental factors in potentiating BRIA in this population should be further investigated.

Indexed as

Brain NeoplasmsGliomaBevacizumabDiffusion Magnetic Resonance ImagingHumansProbabilityRadiation DosageBevacizumab

Identifiers

PMID36800342
PMCPMC9937457
OpenAlexW4321167759

What OpenQuestion holds

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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.