Evidence map›Paper›PMID 27387822›Full record

ArticlePloS one2016

Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma.

Josep Puig, Javier Sánchez-González, Gerard Blasco, Pepus Daunis-I-Estadella, Christian Federau, Ángel Alberich-Bayarri, Carles Biarnes, Kambiz Nael, Marco Essig, Rajan Jain and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  8. Article
  9. Review
  10. Review
  11. 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
  12. Article
  13. 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
  14. Article
  15. Article
  16. Article
  17. Review
  18. Impact of b-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2020
    Article
  19. 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 8 institutions in 4 countries.

Josep PuigImaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
Javier Sánchez-GonzálezPhilips Healthcare Ibérica, Madrid, Spain.
Gerard BlascoImaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
Pepus Daunis-I-EstadellaDepartment of Computer Science, Applied Mathematics, and Statistics, University of Girona, Girona, Spain.
Christian FederauDepartment of Diagnostic and Interventional Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland.
Ángel Alberich-BayarriBiomedical Imaging Research Group (GIBI230), La Fe Polytechnics and University Hospital, La Fe Health Research Institute, Valencia, Spain.
Carles BiarnesImaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
Kambiz NaelDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, United States of America.
Marco EssigDepartment of Radiology, University of Manitoba, Winnipeg, Canada.
Rajan JainDivision of Neuroradiology, Department of Radiology, NYU Langone Medical Center, New York, United States of America.
Max WintermarkDepartment of Radiology, Neuroradiology Division, Stanford University, Palo Alto, United States of America.
Salvador PedrazaImaging Research Unit, Institut de Diagnostic per la Imatge (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari Dr Josep Trueta, Girona, Spain.
Institut d'Investigació Biomèdica de Girona · ESIcahn School of Medicine at Mount Sinai · USNYU Langone Health · USPhilips (Spain) · ESStanford University · USUniversity Hospital of Lausanne · CHUniversity of Girona · ESUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIntravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma.

methodsFifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.

resultsWe found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.

conclusionsThe IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.

Indexed as

Diffusion Magnetic Resonance ImagingMotionAgedBiomarkersBrainBrain NeoplasmsFemaleGlioblastomaHumansImage Processing, Computer-AssistedKaplan-Meier EstimateMaleMiddle AgedObserver VariationPerfusionPrognosisBiomarkers

Identifiers

PMID27387822
PMCPMC4936699
OpenAlexW2470345044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.