Evidence map›Paper›PMID 28494948›Full record

ArticleBiophysical journal2017

Microvessel Chaste: An Open Library for Spatial Modeling of Vascularized Tissues.

James A Grogan, Anthony J Connor, Bostjan Markelc, Ruth J Muschel, Philip K Maini, Helen M Byrne, Joe M Pitt-Francis

Abstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Comparative analysis of continuum angiogenesis models.Journal of mathematical biology · 2021
    Article
  8. Article
  9. Abnormal morphology biases hematocrit distribution in tumor vasculature and contributes to heterogeneity in tissue oxygenation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Tumorcode : A framework to simulate vascularized tumors.The European physical journal. E, Soft matter · 2018
    Article
  12. Article
  13. 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

7 authors.

James A GroganWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom. Electronic address: grogan@maths.ox.ac.uk.
Anthony J ConnorWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Bostjan MarkelcCRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom.
Ruth J MuschelCRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom.
Philip K MainiWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Helen M ByrneWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Joe M Pitt-FrancisDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.

Funding

Cancer Research UK 20407
6 · The paper itself

Abstract

Spatial models of vascularized tissues are widely used in computational physiology. We introduce a software library for composing multiscale, multiphysics models for applications including tumor growth, angiogenesis, osteogenesis, coronary perfusion, and oxygen delivery. Composition of such models is time consuming, with many researchers writing custom software. Recent advances in imaging have produced detailed three-dimensional (3D) datasets of vascularized tissues at the scale of individual cells. To fully exploit such data there is an increasing need for software that allows user-friendly composition of efficient, 3D models of vascularized tissues, and comparison of predictions with in vivo or in vitro experiments and alternative computational formulations. Microvessel Chaste can be used to build simulations of vessel growth and adaptation in response to mechanical and chemical stimuli; intra- and extravascular transport of nutrients, growth factors and drugs; and cell proliferation in complex 3D geometries. In addition, it can be used to develop custom software for integrating modeling with experimental data processing workflows, facilitated by a comprehensive Python interface to solvers implemented in C++. This article links to two reproducible example problems, showing how the library can be used to build simulations of tumor growth and angiogenesis with realistic vessel networks.

Indexed as

Computer SimulationMicrovesselsModels, BiologicalSoftwareAdenocarcinomaAlgorithmsAnimalsCell Line, TumorColonic NeoplasmsCorneaImaging, Three-DimensionalInternetMice, Inbred C57BLNeoplasm TransplantationNeovascularization, PathologicNeovascularization, PhysiologicVascular Endothelial Growth Factor A

Identifiers

PMID28494948
PMCPMC5425404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.