ArticleACS nano2023
Personalized Oncology by In Vivo Chemical Imaging: Photoacoustic Mapping of Tumor Oxygen Predicts Radiotherapy Efficacy.
Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Early Radiation Therapy Response Assessment Using Multi-Scale Photoacoustic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Understanding Immune Cell Adaptation to Tumor Hypoxia for Maximized Therapeutic Efficacy of Immunotherapy: Biology and Non-invasive Imaging Application.Cancer research and treatment · 2026Review
- Photoacoustic Chemical Imaging of Tumor Microenvironment pH for Prediction of Chemotherapeutic Efficacy in Breast Cancer.Nano letters · 2025Article
- Noninvasive Mapping of Extracellular Potassium in Breast Tumors via Multi-Wavelength Photoacoustic Imaging.Sensors (Basel, Switzerland) · 2025Article
- The Biophysics of Flash Radiotherapy: Tools for Measuring Tumor and Normal Tissues Microenvironment.Antioxidants (Basel, Switzerland) · 2025Review
- Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?European radiology · 2024Review
- Photoacoustic lifetime oxygen imaging of radiotherapy-induced tumor reoxygenationJournal of photochemistry and photobiology · 2024Article
- Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor ProgressionACS sensors · 2024Article
- Mini review of photoacoustic clinical imaging: a noninvasive tool for disease diagnosis and treatment evaluation.Journal of biomedical optics · 2024Review
- Biomarker-driven molecular imaging probes in radiotherapy.Theranostics · 2024Review
- Visualization of Microcirculation at Acupoints in vivo of Alzheimer's Disease Animal Model with Photoacoustic Microscope: A Pilot Study.Journal of Alzheimer's disease reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
We hereby apply the approach of photoacoustic chemical imaging, performing an in vivo chemical analysis that is spatially resolved (200 μm) and in real time, to predict a given tumor's response to therapy. Using triple negative breast cancer as a model, we took photoacoustic images of tumors' oxygen distributions in patient-derived xenografts (PDXs) in mice using biocompatible, oxygen-sensitive tumor-targeted chemical contrast nanoelements (nanosonophores), which function as contrast agents for photoacoustic imaging. Following radiation therapy, we established a quantitatively significant correlation between the spatial distribution of the initial oxygen levels in the tumor and its spatial distribution of the therapy's efficacy: the lower the local oxygen, the lower the local radiation therapy efficacy. We thus provide a simple, noninvasive, and inexpensive method to both predict the efficacy of radiation therapy for a given tumor and identify treatment-resistant regions within the tumor's microenvironment.
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What OpenQuestion holds
Registered trials
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.