Evidence map›Paper›PMID 26807366›Full record

ArticleQuantitative imaging in medicine and surgery2015

Mean apparent diffusion coefficient values in defining radiotherapy planning target volumes in glioblastoma.

Daniel Jeong, Christian Malalis, John A Arrington, Aaron S Field, Jung W Choi, Mehmet Kocak

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. The role of corroles in modern cancer therapy: innovation and prospects.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Review
  3. Article
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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

6 authors.

Daniel Jeong1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Christian Malalis1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
John A Arrington1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Aaron S Field1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Jung W Choi1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Mehmet Kocak1 Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA ; 2 Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA ; 3 Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate mean apparent diffusion coefficient (ADC) values on pre-radiotherapy magnetic resonance (MR) at sites that gave rise to glioblastoma (GBM) recurrence compared to similar surrounding background tissue that did not progress to tumor.

methodsTwenty out of 110 consecutive patients with pathology proven GBM treated at our institution from 1/1/2009 to 5/31/2012 had definitive recurrence 6 months following radiotherapy. In this single-center retrospective cohort study, pre- and post-radiotherapy MR brain exams were evaluated. Sites of tumor recurrence on post-therapy exams were co-localized to pre-therapy exams and the background tissue type which gave rise to tumor was noted (i.e., T2 hyperintensity, normal appearing white or gray matter). Similar surrounding background tissue not progressing to tumor was also selected. Two radiologists compared mean ADC values on pre-radiotherapy MR for sites which gave rise to future tumor recurrence and sites of similar background tissue.

resultsPre-radiotherapy mean ADC values were significantly lower in regions of future tumor recurrence than in regions of surrounding background tissue not progressing to tumor (P=0.003). There were no significant quantitative differences on T1-weighted pre contrast (P=0.50) or T2-weighted (P=0.10) sequences between sites. There was strong interobserver agreement with an intraclass correlation of 0.867 for ADC values at sites of future tumor recurrence and background tissue.

conclusionsMean ADC values may help predict sites of future gross tumor recurrence in GBM, which could be helpful in radiation therapy planning.

Indexed as

Apparent diffusion coefficient (ADC)glioblastoma (GBM)magnetic resonance (MR)tumor recurrence

Identifiers

PMID26807366
PMCPMC4700247

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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.