Evidence map›Paper›PMID 38363799›Full record

ArticlePLoS computational biology2024

Enhanced perfusion following exposure to radiotherapy: A theoretical investigation.

Jakub Köry, Vedang Narain, Bernadette J Stolz, Jakob Kaeppler, Bostjan Markelc, Ruth J Muschel, Philip K Maini, Joe M Pitt-Francis, Helen M Byrne

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 17% 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, 5 citations in OpenAlex.

  1. Early Radiation Therapy Response Assessment Using Multi-Scale Photoacoustic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

9 authors at 2 institutions in 3 countries.

Jakub KörySchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-4476-2547
Vedang NarainMathematical Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0754-0088
Bernadette J StolzMathematical Institute, University of Oxford, Oxford, United Kingdom.
Jakob KaepplerCancer Research UK and MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5973-0049
Bostjan MarkelcCancer Research UK and MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom.
Ruth J MuschelCancer Research UK and MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom.
Philip K MainiMathematical Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0146-9164
Joe M Pitt-FrancisDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5094-5403
Helen M ByrneMathematical Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1771-5910
University of Oxford · GBCancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour angiogenesis leads to the formation of blood vessels that are structurally and spatially heterogeneous. Poor blood perfusion, in conjunction with increased hypoxia and oxygen heterogeneity, impairs a tumour's response to radiotherapy. The optimal strategy for enhancing tumour perfusion remains unclear, preventing its regular deployment in combination therapies. In this work, we first identify vascular architectural features that correlate with enhanced perfusion following radiotherapy, using in vivo imaging data from vascular tumours. Then, we present a novel computational model to determine the relationship between these architectural features and blood perfusion in silico. If perfusion is defined to be the proportion of vessels that support blood flow, we find that vascular networks with small mean diameters and large numbers of angiogenic sprouts show the largest increases in perfusion post-irradiation for both biological and synthetic tumours. We also identify cases where perfusion increases due to the pruning of hypoperfused vessels, rather than blood being rerouted. These results indicate the importance of considering network composition when determining the optimal irradiation strategy. In the future, we aim to use our findings to identify tumours that are good candidates for perfusion enhancement and to improve the efficacy of combination therapies.

Indexed as

HypoxiaNeoplasmsCombined Modality TherapyHumansOxygenPerfusionOxygen

Identifiers

PMID38363799
PMCPMC10903964
OpenAlexW4391885636

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.