Evidence map›Paper›PMID 27883015›Full record

ArticleScientific reports2016

MR Vascular Fingerprinting in Stroke and Brain Tumors Models.

B Lemasson, N Pannetier, N Coquery, Ligia S B Boisserand, Nora Collomb, N Schuff, M Moseley, G Zaharchuk, E L Barbier, T Christen

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Magnetic Resonance Fingerprinting: Implications and Opportunities for PET/MR.IEEE transactions on radiation and plasma medical sciences · 2019
    Article
  18. Article
  19. Consensus statement on current and emerging methods for the diagnosis and evaluation of cerebrovascular disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Review
  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

10 authors.

B LemassonUniv. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France.
N PannetierCenter for Imaging of Neurodegenerative diseases, Veterans Affairs Medical Centrer, San Francisco, USA.
N CoqueryUniv. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France.
Ligia S B BoisserandUniv. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France.
Nora CollombUniv. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France.
N SchuffCenter for Imaging of Neurodegenerative diseases, Veterans Affairs Medical Centrer, San Francisco, USA.
M MoseleyDepartment of Radiology, Stanford University, Stanford, California, USA.
G ZaharchukDepartment of Radiology, Stanford University, Stanford, California, USA.
E L BarbierUniv. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France.
T ChristenDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

Oxygenation Fingerprinting with MRI for Ischemic StrokeR21NS087491 · NINDS · STANFORD UNIVERSITY · PI ZAHARCHUK, GREGORY GEORGE · 2014 to 2015
$441k
NINDS NIH HHS R21 NS087491
6 · The paper itself

Abstract

In this study, we evaluated an MRI fingerprinting approach (MRvF) designed to provide high-resolution parametric maps of the microvascular architecture (i.e., blood volume fraction, vessel diameter) and function (blood oxygenation) simultaneously. The method was tested in rats (n = 115), divided in 3 models: brain tumors (9 L, C6, F98), permanent stroke, and a control group of healthy animals. We showed that fingerprinting can robustly distinguish between healthy and pathological brain tissues with different behaviors in tumor and stroke models. In particular, fingerprinting revealed that C6 and F98 glioma models have similar signatures while 9 L present a distinct evolution. We also showed that it is possible to improve the results of MRvF and obtain supplemental information by changing the numerical representation of the vascular network. Finally, good agreement was found between MRvF and conventional MR approaches in healthy tissues and in the C6, F98, and permanent stroke models. For the 9 L glioma model, fingerprinting showed blood oxygenation measurements that contradict results obtained with a quantitative BOLD approach. In conclusion, MR vascular fingerprinting seems to be an efficient technique to study microvascular properties in vivo. Multiple technical improvements are feasible and might improve diagnosis and management of brain diseases.

Indexed as

AnimalsBrainBrain NeoplasmsCell Line, TumorDisease Models, AnimalGliomaMagnetic Resonance ImagingMaleMicrovesselsRats, Inbred F344Stroke

Identifiers

PMID27883015
PMCPMC5121626

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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.