Evidence map›Paper›PMID 42562016›Full record

ArticlePhysics in medicine and biology2026

Towards a clinically practical computational platform for systematically adapting radiation therapy for glioma patients.

Hugo J M Miniere, David A Hormuth, Ernesto A B F Lima, T J Whitaker, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics in medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hugo J M MiniereBiomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.ORCID 0009-0002-4475-5731
David A HormuthUT Austin Cancer Research Center, The University of Texas at Austin, Austin, TX 78712, United States of America.
Ernesto A B F LimaOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, United States of America.ORCID 0000-0002-9219-8784
T J WhitakerRadiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Maguy FarhatRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Bikash PanthiRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Holly LangshawRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Mihir D ShankerRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Wasif TalpurRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Sara ThrowerImaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.ORCID 0000-0001-9915-7443
Jodi GoldmanRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Caroline ChungRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Thomas E YankeelovBiomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.ORCID 0000-0001-6201-3913

Funding

Imaging-based tumor forecasting to predict brain tumor progression and response to therapyR01CA260003 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI QUARLES, CHRISTOPHER CHAD, YANKEELOV, THOMAS E · 2022 to 2025
$3.2M
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCERU24CA226110 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LEWIS, MICHAEL T., RUBIN, DANIEL L · 2019 to 2023
$3.2M
Quantitative Multiscale Imaging to Optimize Cancer Treatment StrategiesR01CA186193 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, RERICHA, ERIN C · 2014 to 2019
$3.1M
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5M
Personalizing immunotherapy in HER2+ breast cancer through quantitative imagingR01CA240589 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SORACE, ANNA C · 2020 to 2023
$1.6M
NCI NIH HHS R01 CA186193NCI NIH HHS R01 CA240589NCI NIH HHS R01 CA260003NCI NIH HHS U01 CA174706NCI NIH HHS U24 CA226110
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Brain NeoplasmsGliomaRadiotherapy Planning, Computer-AssistedHumansMagnetic Resonance ImagingRadiotherapy Dosagedigital twingliomamathematical modelingradiotherapy

Identifiers

PMID42562016
PMCPMC13501221

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.