Evidence map›Paper›PMID 25889239›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2015

Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging.

Xiaoguang Li, Yongshan Zhu, Houyi Kang, Yulong Zhang, Huaping Liang, Sumei Wang, Weiguo Zhang

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 pooled it
–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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Trial
  6. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
  7. Article
  8. Association Between the Volume Transfer Constant (KCancer reports (Hoboken, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  16. Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Advanced MR Techniques for Preoperative Glioma Characterization: Part 2.Journal of magnetic resonance imaging : JMRI · 2023
    Review

9 more citing papers are in PubMed but not listed here.

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

7 authors.

Xiaoguang LiDepartment of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. lixiaoguang0708@qq.com.
Yongshan ZhuDepartment of Radiology, Tianchang people's hospital, Tianchang, Anhui, 239300, China. 407727750@qq.com.
Houyi KangDepartment of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. kanghy0925@163.com.
Yulong ZhangDepartment of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. 361028683@qq.com.
Huaping LiangState key laboratory of Trauma, Burns and Combined Injury, Institute of Surgery Research, Daping Hospital, Third Military Medical University, No. 10, Changjiang Zhilu, Da Ping, Yuzhong Distriction, Chongqing, 400042, China. 13638356728@163.com.
Sumei WangDivision of Neuroradiology, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA19104, USA. Sumei.Wang@uphs.upenn.edu.
Weiguo ZhangDepartment of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. wgzhang01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascular extracellular space (EES) per unit volume of tissue (Ve) derived from DCE-MRI, and the degree of ITSS in glioma grading.

methodsThirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade.

resultsKtrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P<0.01). The degree of ITSS of LGGs was lower than HGGs (P<0.01), and the ITSS of grade II gliomas was lower than grade III or IV gliomas. Ktrans and Ve were correlated with glioma grade (P<0.01), while ITSS was moderately correlated (P<0.01). Ktrans values were moderately correlated with ITSS in the same segments (P<0.01).

conclusionKtrans and Ve values, and ITSS helped distinguish the differences between LGGs and HGGs and between grade II, III and IV gliomas. There was a moderate correlation between Ktrans and ITSS in the same tumor segments.

Indexed as

AdolescentAdultAgedBrain NeoplasmsChildFemaleGliomaHumansImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesROC CurveYoung Adult

Identifiers

PMID25889239
PMCPMC4389664

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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.