Evidence map›Paper›PMID 27116215›Full record

ArticleClinical neuroradiology2017

IVIM perfusion fraction is prognostic for survival in brain glioma.

Christian Federau, Milena Cerny, Marion Roux, Pascal J Mosimann, Philippe Maeder, Reto Meuli, Max Wintermark

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Quantitative perfusion and water transport time model from multiJournal of medical imaging (Bellingham, Wash.) · 2023
    Article
  8. Biomarkers Predictive of Distant Disease-free Survival Derived from Diffusion-weighted Imaging of Breast Cancer.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Review
  17. Article
  18. Intravoxel incoherent motion (IVIM) modeling of diffusion MRI during chemoradiation predicts therapeutic response in IDH wildtype glioblastoma.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  19. Article
  20. 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

7 authors.

Christian FederauDepartment of Radiology, Neuroradiology Division, Stanford University, 300 Pasteur Dr, CA 94305-5105, Stanford, USA. christian.federau@gmail.com.
Milena CernyUniversity Hospital Center, Lausanne, Switzerland.
Marion RouxUniversity Hospital Center, Lausanne, Switzerland.
Pascal J MosimannUniversity Hospital Center, Lausanne, Switzerland.
Philippe MaederUniversity Hospital Center, Lausanne, Switzerland.
Reto MeuliUniversity Hospital Center, Lausanne, Switzerland.
Max WintermarkDepartment of Radiology, Neuroradiology Division, Stanford University, 300 Pasteur Dr, CA 94305-5105, Stanford, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe interest in measuring brain perfusion with intravoxel incoherent motion (IVIM) MRI has significantly increased in the last 3 years. Our aim was to evaluate the prognostic value for survival of intravoxel incoherent motion perfusion fraction in patients with gliomas, and compare it to dynamic susceptibility contrast relative cerebral blood volume and apparent diffusion coefficient.

methodsImages were acquired in 27 patients with brain gliomas (16 high grades, 11 low grades), before any relevant treatment. Region of maximal perfusion fraction, maximal relative cerebral blood volume, and minimal apparent diffusion coefficient were obtained. The accuracy of all three methods for 2‑year survival prognosis was compared using the area under the receiver operating characteristic curve and Kaplan-Meier survival curves.

resultsDeath or survival for at least 2 years after imaging could be documented in 22/27 patients. The cutoff values of 0.112 for the perfusion fraction, of 3.01 for the relative cerebral blood volume, and 1033 × 10

conclusionIn this relatively small cohort, maximal IVIM perfusion fraction, similarly to maximal relative cerebral blood volume and minimal apparent diffusion coefficient, was prognostic for survival in patients with gliomas. Maximal IVIM perfusion fraction and minimal apparent diffusion coefficient performed similarly in predicting survival, and both slightly outperformed maximal relative cerebral blood volume.

Indexed as

Diffusion Magnetic Resonance ImagingMagnetic Resonance ImagingAdaptor Proteins, Signal TransducingAdultAgedBrain NeoplasmsFemaleGliomaHumansMaleMiddle AgedMotionPrognosisReproducibility of ResultsSensitivity and SpecificityAdaptor Proteins, Signal TransducingGliomaIntravoxel incoherent motion MRIPerfusionPrognosisSurvival

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.