Evidence map›Paper›PMID 35687679›Full record

ArticleScience advances2022

Multiscale topology characterizes dynamic tumor vascular networks.

Bernadette J Stolz, Jakob Kaeppler, Bostjan Markelc, Franziska Braun, Florian Lipsmeier, Ruth J Muschel, Helen M Byrne, Heather A Harrington

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Bernadette J StolzMathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-8658-8666
Jakob KaepplerOxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.ORCID 0000-0001-5973-0049
Bostjan MarkelcOxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.ORCID 0000-0002-8674-702X
Franziska BraunData Science, pRED Informatics, Pharma Research & Early Development, Roche Innovation Center Munich, Munich, Germany.ORCID 0000-0003-1027-8084
Florian LipsmeierDigital Biomarkers, pRED Informatics, Pharma Research & Early Development, Roche Innovation Center Basel, Basel, Switzerland.ORCID 0000-0002-8663-819X
Ruth J MuschelOxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
Helen M ByrneMathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0003-1771-5910
Heather A HarringtonMathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-1705-7869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in imaging techniques enable high-resolution three-dimensional (3D) visualization of vascular networks over time and reveal abnormal structural features such as twists and loops, and their quantification is an active area of research. Here, we showcase how topological data analysis, the mathematical field that studies the "shape" of data, can characterize the geometric, spatial, and temporal organization of vascular networks. We propose two topological lenses to study vasculature, which capture inherent multiscale features and vessel connectivity, and surpass the single-scale analysis of existing methods. We analyze images collected using intravital and ultramicroscopy modalities and quantify spatiotemporal variation of twists, loops, and avascular regions (voids) in 3D vascular networks. This topological approach validates and quantifies known qualitative trends such as dynamic changes in tortuosity and loops in response to antibodies that modulate vessel sprouting; furthermore, it quantifies the effect of radiotherapy on vessel architecture.

Identifiers

PMID35687679
PMCPMC9187234

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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.