Evidence map›Paper›PMID 31337635›Full record

ReviewDisease models & mechanisms2019

Photoacoustic imaging as a tool to probe the tumour microenvironment.

Emma Brown, Joanna Brunker, Sarah E Bohndiek

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Early Radiation Therapy Response Assessment Using Multi-Scale Photoacoustic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. A Renal Clearable Probe for In Vivo Monoamine Oxidase (MAO) Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. An Indocyanine Green-Based Nanoprobe for In Vivo Detection of Cellular Senescence.Angewandte Chemie (International ed. in English) · 2024
    Article
  17. Article
  18. Review
  19. Characterization of adnexal lesions using photoacoustic imaging to improve sonographic O-RADS risk assessment.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2023
    Article
  20. 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

3 authors.

Emma BrownDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK.
Joanna BrunkerDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK.
Sarah E BohndiekDepartment of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK seb53@cam.ac.uk.ORCID 0000-0003-0371-8635

Funding

Cancer Research UK 16267Cancer Research UK C14303/A17197Cancer Research UK C197/A16465Cancer Research UK C47594/A16267Wellcome TrustWellcome Trust 204845/Z/16/Z
6 · The paper itself

Abstract

The tumour microenvironment (TME) is a complex cellular ecosystem subjected to chemical and physical signals that play a role in shaping tumour heterogeneity, invasion and metastasis. Studying the roles of the TME in cancer progression would strongly benefit from non-invasive visualisation of the tumour as a whole organ

Indexed as

Photoacoustic TechniquesTumor MicroenvironmentAnimalsCell HypoxiaExtracellular MatrixHumansNeoplasmsCancerHypoxiaOptoacoustic imagingPAITMEVasculature

Identifiers

PMID31337635
PMCPMC6679374

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.