Evidence map›Paper›PMID 31517401›Full record

ArticleMagnetic resonance in medicine2020

Tensor-valued diffusion MRI in under 3 minutes: an initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors.

Markus Nilsson, Filip Szczepankiewicz, Jan Brabec, Marie Taylor, Carl-Fredrik Westin, Alexandra Golby, Danielle van Westen, Pia C Sundgren

Open access · bronzeAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

43 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Markus NilssonDepartment of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden.ORCID 0000-0002-3140-8223
Filip SzczepankiewiczBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5251-587X
Jan BrabecDepartment of Clinical Sciences Lund, Medical Radiation Physics, Lund University, Lund, Sweden.
Marie TaylorDepartment of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden.
Carl-Fredrik WestinBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Alexandra GolbyBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Danielle van WestenDepartment of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden.
Pia C SundgrenDepartment of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden.
Lund University · SEBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the feasibility of a 3-minutes protocol for assessment of the microscopic anisotropy and tissue heterogeneity based on tensor-valued diffusion MRI in a wide range of intracranial tumors.

methodsB-tensor encoding was performed in 42 patients with intracranial tumors (gliomas, meningiomas, adenomas, and metastases). Microscopic anisotropy and tissue heterogeneity were evaluated by estimating the anisotropic kurtosis (MK

resultsThe fast imaging protocol yielded parameters with characteristics in terms of bias and precision similar to the full protocol. Glioblastomas had lower microscopic anisotropy than meningiomas (MK

conclusionEvaluation of the microscopic anisotropy and tissue heterogeneity in intracranial tumor patients is feasible in clinically relevant times frames.

Indexed as

AnisotropyDiffusion Tensor ImagingNeuroimagingAdenomaAdultAlgorithmsBrainBrain NeoplasmsFemaleGliomaHumansImage Processing, Computer-AssistedLinear ModelsMaleMeningiomaMiddle Ageddiffusion MRImicroscopic anisotropytumor heterogeneity

Identifiers

PMID31517401
PMCPMC6900060
OpenAlexW2915399290

What OpenQuestion holds

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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.