Evidence map›Paper›PMID 29058342›Full record

ArticleHuman brain mapping2018

Radiation-induced brain structural and functional abnormalities in presymptomatic phase and outcome prediction.

Zhongxiang Ding, Han Zhang, Xiao-Fei Lv, Fei Xie, Lizhi Liu, Shijun Qiu, Li Li, Dinggang Shen

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Evaluation of the potential of diffusion tensor imaging biomarkers in prediction of white matter changes after brain radiation therapy: A systematic review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Review
  6. Article
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  8. Article
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  10. Review
  11. Brain diffusion MRI biomarkers after oncology treatments.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
  12. Article
  13. Article
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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

8 authors at 3 institutions in 3 countries.

Zhongxiang DingZhejiang Provincial People's Hospital, Hangzhou, Zhejiang, 310014, China.
Han ZhangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6645-8810
Xiao-Fei LvDepartment of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.ORCID 0000-0002-1712-630X
Fei XieDepartment of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Lizhi LiuDepartment of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Shijun QiuMedical Imaging Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Li LiDepartment of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Dinggang ShenDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Sun Yat-sen University · CNUniversity of North Carolina at Chapel Hill · USFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

Quantifying Brain Abnormality by Multimodality Neuroimage Analysis,R01AG041721 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2012 to 2019
$3.0M
Imaging Genomics Based Brain Disease PredictionR01AG049371 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI HUANG, HENG · 2015 to 2019
$2.0M
Assessing Large-scale Brain Connectivities in Mild Cognitive ImpairmentR01AG042599 · NIA · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2013 to 2017
$1.4M
Diagnosis of Alzheimer's Disease Using Dynamic High-Order Brain NetworksR01EB022880 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2016 to 2018
$1.1M
NIA NIH HHS R01 AG041721NIA NIH HHS R01 AG042599NIA NIH HHS R01 AG049371NIBIB NIH HHS R01 EB022880
6 · The paper itself

Abstract

Radiation therapy, a major method of treatment for brain cancer, may cause severe brain injuries after many years. We used a rare and unique cohort of nasopharyngeal carcinoma patients with normal-appearing brains to study possible early irradiation injury in its presymptomatic phase before severe, irreversible necrosis happens. The aim is to detect any structural or functional imaging biomarker that is sensitive to early irradiation injury, and to understand the recovery and progression of irradiation injury that can shed light on outcome prediction for early clinical intervention. We found an acute increase in local brain activity that is followed by extensive reductions in such activity in the temporal lobe and significant loss of functional connectivity in a distributed, large-scale, high-level cognitive function-related brain network. Intriguingly, these radiosensitive functional alterations were found to be fully or partially recoverable. In contrast, progressive late disruptions to the integrity of the related far-end white matter structure began to be significant after one year. Importantly, early increased local brain functional activity was predictive of severe later temporal lobe necrosis. Based on these findings, we proposed a dynamic, multifactorial model for radiation injury and another preventive model for timely clinical intervention. Hum Brain Mapp 39:407-427, 2018. © 2017 Wiley Periodicals, Inc.

Indexed as

AdultAgedBrainBrain InjuriesCarcinomaCross-Sectional StudiesDiffusion Tensor ImagingDose-Response Relationship, RadiationFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedModels, BiologicalMultimodal Imagingamplitude of low-frequency fluctuationsdiffusion tensor imagingfunctional connectivityfunctional magnetic resonance imagingirradiation injurynasopharyngeal carcinomaprognosisradiation therapyresting statestructural connectivity

Identifiers

PMID29058342
PMCPMC6866621
OpenAlexW2765734026

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.