ArticleJournal of clinical imaging science2013
Multispectral Photoacoustic Imaging of Prostate Cancer: Preliminary Ex-vivo Results.
Article in Journal of clinical imaging science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Developments in Ultrasound-Based Imaging for Prostate Cancer Detection.The Prostate · 2025Review
- Multispectral photoacoustic imaging of breast cancer tissue with histopathology validation.Biomedical optics express · 2025Article
- Full-view volumetric photoacoustic imaging using a hemispheric transducer array combined with an acoustic reflector.Biomedical optics express · 2024Article
- Application of photoacoustic computed tomography in biomedical imaging: A literature review.Bioengineering & translational medicine · 2023Review
- Approaching closed spherical, full-view detection for photoacoustic tomography.Journal of biomedical optics · 2022Article
- Assessment of Nanoparticle-Mediated Tumor Oxygen Modulation by Photoacoustic Imaging.Biosensors · 2022Review
- Prostate cancer identification via photoacoustic spectroscopy and machine learning.Photoacoustics · 2021Article
- Photoacoustic tomography reconstruction using lag-based delay multiply and sum with a coherence factor improves in vivo ovarian cancer diagnosis.Biomedical optics express · 2021Article
- Photoacoustic-guided surgery from head to toe [Invited].Biomedical optics express · 2021Review
- Role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography.Journal of biophotonics · 2021Article
- Photoacoustics resolves species-specific differences in hemoglobin concentration and oxygenation.Journal of biomedical optics · 2020Article
- Lipid-weighted intraoperative photoacoustic tomography of breast tumors: Volumetric comparison to preoperative MRI.Photoacoustics · 2020Article
- High-Resolution Photoacoustic Tomography for Early-Stage Cancer Detection and Its Clinical Translation.Radiology. Imaging cancer · 2020Review
- Automatic cancer tissue detection using multispectral photoacoustic imaging.International journal of computer assisted radiology and surgery · 2020Article
- Examining the technical feasibility of prostate cancer molecular imaging by transrectal photoacoustic tomography with transurethral illumination.Experimental biology and medicine (Maywood, N.J.) · 2020Article
- Photoacoustic Imaging in Tissue Engineering and Regenerative Medicine.Tissue engineering. Part B, Reviews · 2020Review
- Photoacoustic clinical imaging.Photoacoustics · 2019Review
- Photoacoustic imaging with low-cost sources; A review.Photoacoustics · 2019Review
- Intraoperative photoacoustic screening of breast cancer: a new perspective on malignancy visualization and surgical guidance.Journal of biomedical optics · 2019Article
- Multiview spatial compounding using lens-based photoacoustic imaging system.Photoacoustics · 2019Article
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Authors and funding
9 authors.
Funding
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Abstract
objectiveThe objective of this study is to validate if ex-vivo multispectral photoacoustic (PA) imaging can differentiate between malignant prostate tissue, benign prostatic hyperplasia (BPH), and normal human prostate tissue. MATERIALS AND
methodsInstitutional Review Board's approval was obtained for this study. A total of 30 patients undergoing prostatectomy for biopsy-confirmed prostate cancer were included in this study with informed consent. Multispectral PA imaging was performed on surgically excised prostate tissue and chromophore images that represent optical absorption of deoxyhemoglobin (dHb), oxyhemoglobin (HbO2), lipid, and water were reconstructed. After the imaging procedure is completed, malignant prostate, BPH and normal prostate regions were marked by the genitourinary pathologist on histopathology slides and digital images of marked histopathology slides were obtained. The histopathology images were co-registered with chromophore images. Region of interest (ROI) corresponding to malignant prostate, BPH and normal prostate were defined on the chromophore images. Pixel values within each ROI were then averaged to determine mean intensities of dHb, HbO2, lipid, and water.
resultsOur preliminary results show that there is statistically significant difference in mean intensity of dHb (P < 0.0001) and lipid (P = 0.0251) between malignant prostate and normal prostate tissue. There was difference in mean intensity of dHb (P < 0.0001) between malignant prostate and BPH. Sensitivity, specificity, positive predictive value, and negative predictive value of our imaging system were found to be 81.3%, 96.2%, 92.9% and 89.3% respectively.
conclusionOur preliminary results of ex-vivo human prostate study suggest that multispectral PA imaging can differentiate between malignant prostate, BPH and normal prostate tissue.
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