Evidence map›Paper›PMID 31747380›Full record

ArticleRadiology and oncology2019

Retrieved cerebral thrombi studied by T2 and ADC mapping: preliminary results.

Jernej Vidmar, Franci Bajd, Zoran V Milosevic, Igor J Kocijancic, Miran Jeromel, Igor Sersa

Open access · goldAbstract read
In one paragraph

Article in Radiology and oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024
    Article
  4. Article
  5. 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

6 authors at 4 institutions in 1 country.

Jernej VidmarInstitute of Physiology, Medical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Franci BajdFaculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.
Zoran V MilosevicDepartment of Diagnostic and Interventional Neuroradiology, Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Igor J KocijancicDepartment of Diagnostic and Interventional Neuroradiology, Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Miran JeromelDepartment of Diagnostic and Interventional Neuroradiology, Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Igor SersaInstitute of Physiology, Medical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SIUniversity of Ljubljana · SIJožef Stefan Institute · SIŠolski center Slovenj Gradec · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Recent advances in MRI technology makes it increasingly more competitive to CT also in the field of interventions. Multi-parametric MRI offers a significant amount of data relevant for characterization of human cerebral thrombi. Patients and methods Cerebral thrombi of 17 patients diagnosed with acute stroke were acquired by mechanical thrombectomy. The thrombi were subsequently scanned using a high spatial-resolution 3D T1-weighted MRI to obtain morphological characteristics of the thrombi and also by apparent diffusion coefficient (ADC) and transversal nuclear magnetic resonance (NMR) relaxation time (T2) mapping. The MRI results were analysed for possible correlations between thrombectomy procedure parameters (recanalization time and number of passes) and MR-measurable parameters (sample-mean ADC and T2, within-sample coefficient of variation of ADC and T2, and thrombus length). Results Both MRI mapping techniques enabled a good discrimination among thrombi regions of different water mobility and compaction. Within-sample coefficient of variation of ADC was found most sensitive for discrimination between the thrombi where thrombectomy procedure was performed in a single pass and those where is was performed in two or more passes (p = 0.03). Interestingly, negative correlation was found between the recanalization time and thrombus length (ρ = -0.22). Conclusions Preliminary results of presented study shows that pretreatment MRI assessment of thrombi in stroke patients could potentially ease stroke treatment planning. In this study it is shown that within-sample coefficient of variation of ADC could serve for prediction of possible complications during thrombectomy procedures.

Indexed as

Computed Tomography AngiographyDiffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedAgedAged, 80 and overBrain IschemiaFemaleHumansImage EnhancementIntracranial ThrombosisMaleMiddle AgedPreoperative CareStrokeThrombectomyADC mappingmechanical thrombectomyMR microscopystrokeT2 mapping

Identifiers

PMID31747380
PMCPMC6884935
OpenAlexW2990497468

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.