Evidence map›Paper›PMID 33731776›Full record

ArticleScientific reports2021

Adaptive constrained constructive optimisation for complex vascularisation processes.

Gonzalo Daniel Maso Talou, Soroush Safaei, Peter John Hunter, Pablo Javier Blanco

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025
    Review
  4. Computational Framework for Modeling Effects of Brain Collateral Circulation.International journal for numerical methods in biomedical engineering · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Tissue-growth-based synthetic tree generation and perfusion simulation.Biomechanics and modeling in mechanobiology · 2023
    Article
  19. Review
  20. Mechanical regulation of the early stages of angiogenesis.Journal of the Royal Society, Interface · 2022
    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

4 authors at 2 institutions in 2 countries.

Gonzalo Daniel Maso TalouDepartment of Mathematical and Computational Methods, National Laboratory for Scientific Computing, Petrópolis, Brazil. g.masotalou@auckland.ac.nz.
Soroush SafaeiAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Peter John HunterAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Pablo Javier BlancoDepartment of Mathematical and Computational Methods, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Laboratório Nacional de Computação Científica · BRUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mimicking angiogenetic processes in vascular territories acquires importance in the analysis of the multi-scale circulatory cascade and the coupling between blood flow and cell function. The present work extends, in several aspects, the Constrained Constructive Optimisation (CCO) algorithm to tackle complex automatic vascularisation tasks. The main extensions are based on the integration of adaptive optimisation criteria and multi-staged space-filling strategies which enhance the modelling capabilities of CCO for specific vascular architectures. Moreover, this vascular outgrowth can be performed either from scratch or from an existing network of vessels. Hence, the vascular territory is defined as a partition of vascular, avascular and carriage domains (the last one contains vessels but not terminals) allowing one to model complex vascular domains. In turn, the multi-staged space-filling approach allows one to delineate a sequence of biologically-inspired stages during the vascularisation process by exploiting different constraints, optimisation strategies and domain partitions stage by stage, improving the consistency with the architectural hierarchy observed in anatomical structures. With these features, the aDaptive CCO (DCCO) algorithm proposed here aims at improving the modelled network anatomy. The capabilities of the DCCO algorithm are assessed with a number of anatomically realistic scenarios.

Indexed as

AlgorithmsModels, CardiovascularArteriesComputer SimulationHemodynamicsHumansModels, Anatomic

Identifiers

PMID33731776
PMCPMC7969782
OpenAlexW3136970255

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.