Evidence map›Paper›PMID 31005212›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2019

Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival.

Chao Li, Jiun-Lin Yan, Turid Torheim, Mary A McLean, Natalie R Boonzaier, Jingjing Zou, Yuan Huang, Jianmin Yuan, Bart R J van Dijken, Tomasz Matys and 2 more

Abstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Complex Diagnostic Challenges in Glioblastoma: The Role ofPharmaceuticals (Basel, Switzerland) · 2024
    Review
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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

12 authors.

Chao LiCambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, UK; Department of Neurosurgery, Shanghai General Hospital (originally named "Shanghai First People's Hospital"), Shanghai Jiao Tong University School of Medicine, China; EPSRC Centre for Mathematical Imaging in Healthcare, University of Cambridge, UK. Electronic address: cl647@cam.ac.uk.
Jiun-Lin YanCambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, UK; Department of Neurosurgery, Chang Gung Memorial Hospital, Keelung, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Turid TorheimCancer Research UK Cambridge Institute, University of Cambridge, UK; CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge, UK.
Mary A McLeanCancer Research UK Cambridge Institute, University of Cambridge, UK.
Natalie R BoonzaierDevelopmental Imaging and Biophysics Section, Great Ormond Street Institute of Child Health, University College London, UK.
Jingjing ZouStatistical Laboratory, Centre for Mathematical Sciences, University of Cambridge, UK.
Yuan HuangEPSRC Centre for Mathematical Imaging in Healthcare, University of Cambridge, UK; Department of Radiology, University of Cambridge, UK.
Jianmin YuanDepartment of Radiology, University of Cambridge, UK.
Bart R J van DijkenDepartment of Radiology, University Medical Center Groningen, University of Groningen, the Netherlands.
Tomasz MatysStatistical Laboratory, Centre for Mathematical Sciences, University of Cambridge, UK; Cancer Trials Unit Department of Oncology, Addenbrooke's Hospital, Cambridge, UK.
Florian MarkowetzCancer Research UK Cambridge Institute, University of Cambridge, UK; CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge, UK.
Stephen J PriceCambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, UK; Wolfson Brain Imaging Centre, Department of Clinical Neuroscience, University of Cambridge, UK.

Funding

Cancer Research UK 19274Cancer Research UK A19274Cancer Research UK C14303/A17197Cancer Research UK C197/A16465Department of Health NIHR/CS/009/011
6 · The paper itself

Abstract

background and purposeGlioblastoma exhibits profound intratumoral heterogeneity in perfusion. Particularly, low perfusion may induce treatment resistance. Thus, imaging approaches that define low perfusion compartments are crucial for clinical management. MATERIALS AND

methodsA total of 112 newly diagnosed glioblastoma patients were prospectively recruited for maximal safe resection. The apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) were calculated from diffusion and perfusion imaging, respectively. Based on the overlapping regions of lowest rCBV quartile (rCBV

resultsTwo compartments displayed higher lactate and macromolecule/lipid levels compared to contralateral normal-appearing white matter (each P < 0.001). The proportion of the ADC

conclusionsOur results suggest that the ADC

Indexed as

AdultAgedChemoradiotherapyCohort StudiesDiffusion Magnetic Resonance ImagingFemaleGlioblastomaHumansKaplan-Meier EstimateMagnetic Resonance ImagingMaleMiddle AgedNeoplasm InvasivenessSupratentorial NeoplasmsSurvival RateTemozolomideTemozolomideDiffusion imagingGlioblastomaHeterogeneityPerfusion imagingRadioresistanceTumor habitat imaging

Identifiers

PMID31005212
PMCPMC6486398

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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.