Evidence map›Paper›PMID 35311156›Full record

ArticleFrontiers in oncology2022

The Potential of Photoacoustic Imaging in Radiation Oncology.

Thierry L Lefebvre, Emma Brown, Lina Hacker, Thomas Else, Mariam-Eleni Oraiopoulou, Michal R Tomaszewski, Rajesh Jena, Sarah E Bohndiek

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  3. 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 at 3 institutions in 2 countries.

Thierry L LefebvreDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Emma BrownDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Lina HackerDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Thomas ElseDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Mariam-Eleni OraiopoulouDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Michal R TomaszewskiDepartment of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Rajesh JenaDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
Sarah E BohndiekDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.
Cancer Research UK Cambridge Center · GBUniversity of Cambridge · GBMoffitt Cancer Center · US

Funding

Cancer Research UK 21142Cancer Research UK 28870
6 · The paper itself

Abstract

Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.

Indexed as

image guidancephotoacoustic (optoacoustic) imagingquantitative imaging biomarkerradiation oncologyradiotherapytranslational research

Identifiers

PMID35311156
PMCPMC8928467
OpenAlexW4214849782

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.