Evidence map›Paper›PMID 26232204›Full record

ArticleNeuroradiology2015

Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging.

Leonard Sunwoo, Seung Hong Choi, Roh-Eul Yoo, Koung Mi Kang, Tae Jin Yun, Tae Min Kim, Se-Hoon Lee, Chul-Kee Park, Ji-Hoon Kim, Sun-Won Park and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Observational
  7. Article
  8. Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral Gliomas.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2017
    Article
  9. 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

14 authors.

Leonard SunwooDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Seung Hong ChoiDepartment of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea. verocay@snuh.org.
Roh-Eul YooDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Koung Mi KangDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Tae Jin YunDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Tae Min KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Se-Hoon LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Chul-Kee ParkDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Korea.
Ji-Hoon KimDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Sun-Won ParkDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Chul-Ho SohnDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Jae-Kyung WonDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Sung-Hye ParkDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Il Han KimDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study is to investigate perfusion characteristics of glioblastoma with an oligodendroglioma component (GBMO) compared with conventional glioblastoma (GBM) using dynamic susceptibility contrast (DSC) perfusion magnetic resonance (MR) imaging and microvessel density (MVD).

methodsThe study was approved by the institutional review board. Newly diagnosed high-grade glioma patients were enrolled (n = 72; 20 GBMs, 14 GBMOs, 19 anaplastic astrocytomas (AAs), 13 anaplastic oligodendrogliomas (AOs), and six anaplastic oligoastrocytomas (AOAs)). All participants underwent preoperative MR imaging including DSC perfusion MR imaging. Normalized cerebral blood volume (nCBV) values were analyzed using a histogram approach. Histogram parameters were subsequently compared across each tumor subtype and grade. MVD was quantified by immunohistochemistry staining and correlated with perfusion parameters. Progression-free survival (PFS) was assessed according to the tumor subtype.

resultsGBMO displayed significantly reduced nCBV values compared with GBM, whereas grade III tumors with oligodendroglial components (AO and AOA) exhibited significantly increased nCBV values compared with AA (p < 0.001). MVD analyses revealed the same pattern as nCBV results. In addition, a positive correlation between MVD and nCBV values was noted (r = 0.633, p < 0.001). Patients with oligodendroglial tumors exhibited significantly increased PFS compared with patients with pure astrocytomas in each grade.

conclusionIn contrast to grade III tumors, the presence of oligodendroglial components in grade IV tumors resulted in paradoxically reduced perfusion metrics and MVD. In addition, patients with GBMO exhibited a better clinical outcome compared with patients with GBM.

Indexed as

Blood VolumeCerebrovascular CirculationBlood Flow VelocityBlood Volume DeterminationBrain NeoplasmsContrast MediaDiagnosis, DifferentialFemaleGliomaHumansImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMaleMiddle AgedNeoplasm GradingOligodendrogliomaContrast MediaGlioblastoma with an oligodendroglioma component (GBMO)Histogram analysisMicrovessel density (MVD)Perfusion metrics

Identifiers

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.