ArticleOptics letters2020
Photoacoustic spectral analysis at ultraviolet wavelengths for characterizing the Gleason grades of prostate cancer.
Article in Optics letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Imprinted high-Opto-electronic advances · 2026Article
- Detecting Collagen by Machine Learning Improved Photoacoustic Spectral Analysis for Breast Cancer Diagnostics: Feasibility Studies With Murine Models.Journal of biophotonics · 2025Article
- Photoacoustic clinical applications: Musculoskeletal and abdominal imaging.Zeitschrift fur medizinische Physik · 2023Review
- Fabrication of a translational photoacoustic needle sensing probe for interstitial photoacoustic spectral analysis.Photoacoustics · 2023Article
- Photoacoustic Spectral Analysis for Evaluating the Aggressiveness of Prostate Cancer Labeled by Methylene Blue Polyacrylamide Nanoparticles.Biosensors · 2023Article
- Assessment of prostate cancer progression using a translational needle photoacoustic sensing probe: Preliminary study with intact human prostatesPhotoacoustics · 2022Article
- Biomedical Application of Photoacoustics: A Plethora of Opportunities.Micromachines · 2022Review
- Characterizing the aggressiveness of prostate cancer using an all-optical needle photoacoustic sensing probe: feasibility study.Biomedical optics express · 2021Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
The diagnosis of aggressive prostate cancer (PCa) has relied on microscopic architectures, namely Gleason patterns, of tissues extracted through core biopsies. Technology capable of assessing the tissue architecture without tissue extraction will reduce the invasiveness of PCa diagnosis and improve diagnostic accuracy by allowing for more sampling locations. Our recently developed photoacoustic spectral analysis (PASA) has achieved quantification of tissue architectural heterogeneity interstitially. Taking advantage of the unique optical absorption of cell nuclei at ultraviolet (UV) wavelengths, this study investigated PASA at 266 nm for quantifying the tissue architecture heterogeneity in prostates. The results have shown significant differences among the normal, early cancer, and late cancer stages in mouse prostates ex vivo and in vivo (
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Registered trials
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