Evidence map›Paper›PMID 31515215›Full record

ArticleAJNR. American journal of neuroradiology2019

Perfusion MRI-Based Fractional Tumor Burden Differentiates between Tumor and Treatment Effect in Recurrent Glioblastomas and Informs Clinical Decision-Making.

M Iv, X Liu, J Lavezo, A J Gentles, R Ghanem, S Lummus, D E Born, S G Soltys, S Nagpal, R Thomas and 2 more

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
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 at 6 institutions in 5 countries.

M IvFrom the Departments of Neuroimaging and Neurointervention (M.I., N.F.) miv@stanford.edu.ORCID 0000-0001-6794-7213
X LiuDepartment of Neurosurgery (X.L.), Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0001-7690-0847
J LavezoPathology (J.L., R.G., S.L., D.E.B.).ORCID 0000-0002-4329-3136
A J GentlesMedicine (Biomedical Informatics Research) (A.J.G.).ORCID 0000-0002-0941-9858
R GhanemPathology (J.L., R.G., S.L., D.E.B.).ORCID 0000-0002-9638-6213
S LummusPathology (J.L., R.G., S.L., D.E.B.).ORCID 0000-0003-2343-5528
D E BornPathology (J.L., R.G., S.L., D.E.B.).ORCID 0000-0001-6102-512X
S G SoltysRadiation Oncology (S.G.S.).ORCID 0000-0002-5360-7063
S NagpalNeurology (Neuro-Oncology) (S.N., R.T., L.R.), Stanford University, Stanford, California.ORCID 0000-0002-0289-2319
R ThomasNeurology (Neuro-Oncology) (S.N., R.T., L.R.), Stanford University, Stanford, California.
L RechtNeurology (Neuro-Oncology) (S.N., R.T., L.R.), Stanford University, Stanford, California.ORCID 0000-0001-8614-2189
N FischbeinFrom the Departments of Neuroimaging and Neurointervention (M.I., N.F.).ORCID 0000-0003-2895-3586
Urology Team · USStanford University · USCognitive Neuroimaging Lab · FRChina Medical University · CNInstitute of Informatics of the Slovak Academy of Sciences · SKPalmetto Hematology Oncology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFractional tumor burden better correlates with histologic tumor volume fraction in treated glioblastoma than other perfusion metrics such as relative CBV. We defined fractional tumor burden classes with low and high blood volume to distinguish tumor from treatment effect and to determine whether fractional tumor burden can inform treatment-related decision-making. MATERIALS AND

methodsForty-seven patients with high-grade gliomas (primarily glioblastoma) with recurrent contrast-enhancing lesions on DSC-MR imaging were retrospectively evaluated after surgical sampling. Histopathologic examination defined treatment effect versus tumor. Normalized relative CBV thresholds of 1.0 and 1.75 were used to define low, intermediate, and high fractional tumor burden classes in each histopathologically defined group. Performance was assessed with an area under the receiver operating characteristic curve. Consensus agreement among physician raters reporting hypothetic changes in treatment-related decisions based on fractional tumor burden was compared with actual real-time treatment decisions.

resultsMean lower fractional tumor burden, high fractional tumor burden, and relative CBV of the contrast-enhancing volume were significantly different between treatment effect and tumor (

conclusionsHigh fractional tumor burden and low fractional tumor burden define fractions of the contrast-enhancing lesion volume with high and low blood volume, respectively, and can differentiate treatment effect from tumor in recurrent glioblastomas. Fractional tumor burden maps can also help to inform clinical decision-making.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsCerebrovascular CirculationClinical Decision-MakingContrast MediaFemaleGlioblastomaHumansImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedObserver VariationPerfusion ImagingContrast Media

Identifiers

PMID31515215
PMCPMC7028562
OpenAlexW2972370289

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.