Evidence map›Paper›PMID 37707752›Full record

ArticleJournal of neuro-oncology2023

Relationship between apparent diffusion coefficient and survival as a function of distance from gross tumor volume on radiation planning MRI in newly diagnosed glioblastoma.

Pejman Jabehdar Maralani, James Stewart, Shivaprakash Hiremath, Liam Lawrence, Rachel Chan, Angus Lau, Hanbo Chen, Aimee Chan, Liang K Zeng, Chia-Lin Tseng and 7 more

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

17 authors at 3 institutions in 1 country.

Pejman Jabehdar MaralaniDepartment of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada. Pejman.Maralani@sunnybrook.ca.
James StewartDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Shivaprakash HiremathDepartment of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Liam LawrenceDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Rachel ChanDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Angus LauDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Hanbo ChenDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Aimee ChanDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Liang K ZengDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Chia-Lin TsengDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Sten MyrehaugDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Hany SolimanDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Jay DetskyDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Chinthaka HeynDepartment of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
MaryJane Lim FatDivision of Neurology, Department of Medicine, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Nir LipsmanDivision of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Arjun SahgalDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada.
Sunnybrook Health Science Centre · CAUniversity of Toronto · CAHealth Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the changes in apparent diffusion coefficient (ADC) within incrementally-increased margins beyond the gross tumor volume (GTV) on post-operative radiation planning MRI and their prognostic utility in glioblastoma.

methodsRadiation planning MRIs of adult patients with newly diagnosed glioblastoma from 2017 to 2020 were assessed. The ADC values were normalized to contralateral normal white matter (nADC). Using 1 mm isotropic incremental margin increases from the GTV, the nADC values were calculated at each increment. Age, ECOG performance status, extent of resection and MGMT promoter methylation status were obtained from medical records. Using univariate and multivariable Cox regression analysis, association of nADC to progression-free and overall survival (PFS, OS) was assessed at each increment.

resultsSeventy consecutive patients with mean age of 53.6 ± 10.3 years, were evaluated. The MGMT promoter was methylated in 31 (44.3%), unmethylated in 36 (51.6%) and unknown in 3 (4.3%) patients. 11 (16%) underwent biopsy, 41 (44%) subtotal resection and 18 (26%) gross total resection. For each 1 mm increase in distance from GTV, the nADC decreased by 0.16% (p < 0.0001). At 1-5 mm increment, the nADC was associated with OS (p < 0.01). From 6 to 11 mm increment the nADC was associated with OS with the p-value gradually increasing from 0.018 to 0.046. nADC was not associated with PFS.

conclusionThe nADC values at 1-11 mm increments from the GTV margin were associated with OS. Future prospective multicenter studies are needed to validate the findings and to pave the way for the utilization of ADC for margin reduction in radiation planning.

Indexed as

Brain NeoplasmsGlioblastomaAdultDiffusion Magnetic Resonance ImagingHumansMiddle AgedPrognosisRetrospective StudiesTumor BurdenApparent diffusion coefficientDiffusion weighted imagingGlioblastomaOverall survivalProgression free survival

Identifiers

PMID37707752
OpenAlexW4386726248

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Registered trials

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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.