Evidence map›Paper›PMID 29089622›Full record

ArticleScientific reports2017

Prognosis of Hippocampal Function after Sub-lethal Irradiation Brain Injury in Patients with Nasopharyngeal Carcinoma.

Sharon Chia-Ju Chen, Yoshifumi Abe, Pen-Tzu Fang, Ya-Ju Hsieh, Yung-I Yang, Tzu-Ying Lu, Shoji Oda, Hiroshi Mitani, Shi-Long Lian, Yu-Chang Tyan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Prevalence of cancer-related cognitive impairment among patients with nasopharyngeal carcinoma: a cross-sectional study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019
    Article
  12. 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

12 authors at 3 institutions in 2 countries.

Sharon Chia-Ju ChenDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yoshifumi AbeDepartment of Integrated Biosciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan.
Pen-Tzu FangDepartment of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Ya-Ju HsiehDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yung-I YangDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Tzu-Ying LuDepartment of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Shoji OdaDepartment of Integrated Biosciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan.
Hiroshi MitaniDepartment of Integrated Biosciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan.
Shi-Long LianDepartment of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Yu-Chang TyanDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chih-Jen HuangDepartment of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. ccjjhh@kmu.edu.tw.
Tatsuhiro HisatsuneDepartment of Integrated Biosciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan. hisatsune@k.u-tokyo.ac.jp.
Kaohsiung Medical University · TWThe University of Tokyo · JPKaohsiung Medical University Chung-Ho Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work emphasizes the value of assessing hippocampal function by making a timely MRI-based prognosis following a minor dose of hippocampal irradiation after nasopharyngeal carcinomas (NPC) radiotherapy. A quasi-experiment with case-control design and functional assessments (e.g., neuroimaging analysis with fMRI) was conducted to assess hippocampal function after radiotherapy. We delivered 70 Gy of irradiation to nasopharyngeal carcinomas by 6MV helical radiotherapy and collected data from twenty NPC patients and 24 healthy age-matched subjects. Inevitably, hippocampi also received an average dose of 6.89 Gy (range, 2.0-14 Gy). Seed-based functional connectivity of the hippocampus was applied to estimate the cognitive alteration by time before, one month, and four months after irradiation. Afterward, longitudinal-and-cross-sessional statistical inference was determined with time-dependent measurement analysis of variance (ANOVA) with controlled covariance. Over time, there were longitudinal changes in the functional connectivity of hippocampal-related cortices, including the right middle frontal lobe, left superior temporal lobe, and left postcentral gyrus. The findings indicate the presence of functional plasticity, demonstrating how minor irradiation affects functional performance during the early delayed phase of irradiation-induced brain injury.

Indexed as

AdultBrainBrain InjuriesCase-Control StudiesCranial IrradiationFemaleHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedNasopharyngeal CarcinomaNeuroimagingPrognosisRadiation Injuries

Identifiers

PMID29089622
PMCPMC5665929
OpenAlexW2766881263

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.