Evidence map›Paper›PMID 29478154›Full record

ArticleMagma (New York, N.Y.)2018

Vessel radius mapping in an extended model of transverse relaxation.

Lukas Reinhold Buschle, Christian H Ziener, Ke Zhang, Volker J F Sturm, Thomas Kampf, Artur Hahn, Gergely Solecki, Frank Winkler, Martin Bendszus, Sabine Heiland and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  5. Imaging in translational cancer research.Cancer biology & medicine · 2022
    Review
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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

12 authors at 4 institutions in 1 country.

Lukas Reinhold BuschleGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany.
Christian H ZienerGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany.
Ke ZhangGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany.
Volker J F SturmGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany.
Thomas KampfDepartment of Experimental Physics 5, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Artur HahnDepartment of Neuroradiology, University Hospital Heidelberg, INF 400, 69120, Heidelberg, Germany.
Gergely SoleckiGerman Cancer Research Center, Neurooncology, INF 280, 69120, Heidelberg, Germany.
Frank WinklerGerman Cancer Research Center, Neurooncology, INF 280, 69120, Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, University Hospital Heidelberg, INF 400, 69120, Heidelberg, Germany.
Sabine HeilandDepartment of Neuroradiology, University Hospital Heidelberg, INF 400, 69120, Heidelberg, Germany.
Heinz-Peter SchlemmerGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany.
Felix T KurzGerman Cancer Research Center, Radiology, INF 280, 69120, Heidelberg, Germany. felix.kurz@med.uni-heidelberg.de.
University Hospital Heidelberg · DEGerman Cancer Research Center · DEHeidelberg University · DEUniversity of Würzburg · DE

Funding

Deutsche Forschungsgemeinschaft DFG KU 3555/1-1Deutsche Forschungsgemeinschaft DFG ZI 1295/2-1
6 · The paper itself

Abstract

objectivesSpin dephasing of the local magnetization in blood vessel networks can be described in the static dephasing regime (where diffusion effects may be ignored) by the established model of Yablonskiy and Haacke. However, for small capillary radii, diffusion phenomena for spin-bearing particles are not negligible. MATERIAL AND

methodsIn this work, we include diffusion effects for a set of randomly distributed capillaries and provide analytical expressions for the transverse relaxation times T2* and T2 in the strong collision approximation and the Gaussian approximation that relate MR signal properties with microstructural parameters such as the mean local capillary radius.

resultsTheoretical results are numerically validated with random walk simulations and are used to calculate capillary radius distribution maps for glioblastoma mouse brains at 9.4 T. For representative tumor regions, the capillary maps reveal a relative increase of mean radius for tumor tissue towards healthy brain tissue of [Formula: see text] (p < 0.001).

conclusionThe presented method may be used to quantify angiogenesis or the effects of antiangiogenic therapy in tumors whose growth is associated with significant microvascular changes.

Indexed as

Magnetic Resonance ImagingAngiogenesis InhibitorsAnimalsBlood VesselsBrainBrain NeoplasmsCapillariesCell Line, TumorComputer SimulationDiffusionGlioblastomaHumansMagnetic Resonance SpectroscopyMaleMiceMice, NudeAngiogenesis InhibitorsNMR transverse relaxationSpin dephasingStrong collision approximationWeak field approximation

Identifiers

PMID29478154
OpenAlexW2791543267

What OpenQuestion holds

Textmetadata
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.