Evidence map›Paper›PMID 29113251›Full record

ArticleOncology letters2017

Structural MRI research in patients with nasopharyngeal carcinoma following radiotherapy: A DTI and VBM study.

Xi Leng, Peng Fang, Huan Lin, Jie An, Xin Tan, Chi Zhang, Donglin Wu, Wen Shen, Shijun Qiu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. 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
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  12. Treatment of Radiation-Induced Brain Necrosis.Oxidative medicine and cellular longevity · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. 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
  17. Article
  18. 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

9 authors at 4 institutions in 1 country.

Xi LengMedical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Peng FangCollege of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, P.R. China.
Huan LinMedical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Jie AnMedical Imaging Center, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Xin TanMedical Imaging Center, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Chi ZhangMedical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Donglin WuMedical Imaging Center, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Wen ShenMedical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Shijun QiuMedical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Southern Medical University · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CNNanfang Hospital · CNNational University of Defense Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the microstructural characteristics of the brain lobes following radiotherapy (RT) for patients with nasopharyngeal carcinoma (NPC) at distinct times. Diffusion tensor imaging (DTI) and 3D-T1-weighted imaging was performed in 70 age- and sex-matched subjects, 24 of whom were pre-treatment patients. The patients were divided into three groups, according to the time following completion of RT. Fractional anisotropy (FA) and gray matter (GM) volume were determined. The DTI data were analyzed using tract-based spatial statistics and the GM volume was analyzed using voxel-based morphometry (VBM). Compared with the pre-RT group, the mean FA values in the left parietal lobe white matter (WM) and right cerebellum decreased significantly in the post-RT 0-6 month group (P<0.05). In addition, the mean FA values in the right parietal lobe WM decreased significantly in the post-RT 6-12 month group (P<0.05), compared with the pre-RT group. The FA level in the right temporal lobe remained significantly decreased, compared with that in the pre-RT group (P<0.05) for 1 year after RT. Furthermore, compared with pre-RT group, the GM volume in the bilateral frontal lobe, right occipital lobe, left parietal lobe, right temporal lobe and left cerebellum decreased significantly in the post-RT 0-6 month group (P<0.05), and in the bilateral temporal lobe, parietal lobe, right frontal lobe and left cerebellum, the GM volume decreased significantly in the post-RT 6-12 month group (P<0.05). The GM volume in the right temporal lobe, bilateral frontal lobe and bilateral cerebellum remained significantly decreased compared with that in the pre-RT group (P<0.05) for 1 year after RT. A combination of DTI and VBM may be used to determine radiation-induced brain injury in patients treated for NPC.

Indexed as

diffusion tensor imagingfractional anisotropynasopharyngeal carcinomatract-based spatial statisticvoxel-based morphometry

Identifiers

PMID29113251
PMCPMC5661403
OpenAlexW2754435501

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.