Evidence map›Paper›PMID 34570449›Full record

ArticleCancer journal (Sudbury, Mass.)

Precision Radiotherapy for Gliomas: Implementing Novel Imaging Biomarkers to Improve Outcomes With Patient-Specific Therapy.

Michael Connor, Michelle M Kim, Yue Cao, Jona Hattangadi-Gluth

Open access · greenAbstract read
In one paragraph

Article in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Value of artificial intelligence in neuro-oncology.The Lancet. Digital health · 2025
    Review
  3. Article
  4. Article
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

4 authors at 3 institutions in 1 country.

Michael ConnorFrom the Department of Radiation Medicine and Applied Sciences, UC San Diego, Moores Cancer Center, La Jolla, CA.
Michelle M KimDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI.
Yue CaoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI.
Jona Hattangadi-GluthFrom the Department of Radiation Medicine and Applied Sciences, UC San Diego, Moores Cancer Center, La Jolla, CA.
University of Michigan–Ann Arbor · USMoores Cancer CenterUniversity of California, San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteKL2TR001444 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2024
$15.4M
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 TR001444NCI NIH HHS R01 CA238783
6 · The paper itself

Abstract

abstractGliomas are the most common primary brain cancer, yet are extraordinarily challenging to treat because they can be aggressive and infiltrative, locally recurrent, and resistant to standard treatments. Furthermore, the treatments themselves, including radiation therapy, can affect patients' neurocognitive function and quality of life. Noninvasive imaging is the standard of care for primary brain tumors, including diagnosis, treatment planning, and monitoring for treatment response. This article explores the ways in which advanced imaging has and will continue to transform radiation treatment for patients with gliomas, with a focus on cognitive preservation and novel biomarkers, as well as precision radiotherapy and treatment adaptation. Advances in novel imaging techniques continue to push the field forward, to more precisely guided treatment planning, radiation dose escalation, measurement of therapeutic response, and understanding of radiation-associated injury.

Indexed as

Brain NeoplasmsGliomaRadiation OncologyBiomarkersHumansQuality of LifeBiomarkers

Identifiers

PMID34570449
PMCPMC8480523
OpenAlexW3202886033

What OpenQuestion holds

Textmetadata
LicenceTDM
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.