Evidence map›Paper›PMID 26705320›Full record

ArticleAJNR. American journal of neuroradiology2016

Quantitative Intracranial Atherosclerotic Plaque Characterization at 7T MRI: An Ex Vivo Study with Histologic Validation.

A A Harteveld, N P Denswil, J C W Siero, J J M Zwanenburg, A Vink, B Pouran, W G M Spliet, D W J Klomp, P R Luijten, M J Daemen and 2 more

Abstract readValidation Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. MR Intracranial Vessel Wall Imaging: A Systematic Review.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Pooled it
  2. Article
  3. Article
  4. Intracranial vessel wall lesions on MRI: anatomical and pathological issues.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. TFrontiers in neuroscience · 2021
    Article
  12. Article
  13. Review
  14. Vessel wall MR imaging of intracranial atherosclerosis.Cardiovascular diagnosis and therapy · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

12 authors.

A A HarteveldFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.) a.a.harteveld-2@umcutrecht.nl.ORCID 0000-0002-3379-0710
N P DenswilDepartment of Pathology (N.P.D., M.J.D.), Academic Medical Center, Amsterdam, the Netherlands.ORCID 0000-0002-5420-3909
J C W SieroFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.).ORCID 0000-0001-5079-2868
J J M ZwanenburgFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.) Image Sciences Institute (J.J.M.Z.), University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-4282-5719
A VinkPathology (A.V., W.G.M.S.).ORCID 0000-0002-9371-8788
B PouranOrthopedics (B.P.) Rheumatology (B.P.) Department of Biomedical Engineering (B.P.), Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0002-1986-3741
W G M SplietPathology (A.V., W.G.M.S.).ORCID 0000-0003-4038-3264
D W J KlompFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.).ORCID 0000-0002-5884-5386
P R LuijtenFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.).ORCID 0000-0002-8040-8449
M J DaemenDepartment of Pathology (N.P.D., M.J.D.), Academic Medical Center, Amsterdam, the Netherlands.ORCID 0000-0003-1076-199X
J HendrikseFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.).ORCID 0000-0001-6384-6140
A G van der KolkFrom the Departments of Radiology (A.A.H., J.C.W.S., J.J.M.Z., D.W.J.K., P.R.L., J.H., A.G.v.d.K.).ORCID 0000-0002-8267-8848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn recent years, several high-resolution vessel wall MR imaging techniques have emerged for the characterization of intracranial atherosclerotic vessel wall lesions in vivo. However, a thorough validation of MR imaging results of intracranial plaques with histopathology is still lacking. The aim of this study was to characterize atherosclerotic plaque components in a quantitative manner by obtaining the MR signal characteristics (T1, T2, T2*, and proton density) at 7T in ex vivo circle of Willis specimens and using histopathology for validation. MATERIALS AND

methodsA multiparametric ultra-high-resolution quantitative MR imaging protocol was performed at 7T to identify the MR signal characteristics of different intracranial atherosclerotic plaque components, and using histopathology for validation. In total, 38 advanced plaques were matched between MR imaging and histology, and ROI analysis was performed on the identified tissue components.

resultsMean T1, T2, and T2* relaxation times and proton density values were significantly different between different tissue components. The quantitative T1 map showed the most differences among individual tissue components of intracranial plaques with significant differences in T1 values between lipid accumulation (T1 = 838 ± 167 ms), fibrous tissue (T1 = 583 ± 161 ms), fibrous cap (T1 = 481 ± 98 ms), calcifications (T1 = 314 ± 39 ms), and the intracranial arterial vessel wall (T1 = 436 ± 122 ms).

conclusionsDifferent tissue components of advanced intracranial plaques have distinguishable imaging characteristics with ultra-high-resolution quantitative MR imaging at 7T. Based on this study, the most promising method for distinguishing intracranial plaque components is T1-weighted imaging.

Indexed as

HumansIntracranial ArteriosclerosisMagnetic Resonance ImagingNeuroimagingPlaque, Atherosclerotic

Identifiers

PMID26705320
PMCPMC7960324

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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.