2014
DOI: 10.1117/1.jbo.19.5.056008
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Optoacoustic characterization of prostate cancer in anin vivotransgenic murine model

Abstract: Abstract. Optoacoustic (OA) imaging was employed to distinguish normal from neoplastic tissues in a transgenic murine model of prostate cancer. OA images of five tumor-bearing mice and five age-matched controls across a 14 mm × 14 mm region of interest (ROI) on the lower abdomen were acquired using a reverse-mode OA imaging system (Seno Medical Instruments Inc., San Antonio, Texas). Neoplastic prostate tissue was identified based on the OA signal amplitude in combination with spectral analysis of the OA radio … Show more

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Cited by 24 publications
(19 citation statements)
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“…For example, by using commercially available or homefabricated piezoelectric transducers, PASA has been explored for applications in diagnosis of prostate cancer [6,12,13] and evaluation of liver conditions [7,8,14]. In these studies, PASA was performed on the tissue level, and the targeted biological tissues (e.g., small vessels, cellular groups, and lipid clusters) have features on the scale of over 100 microns.…”
Section: Introductionmentioning
confidence: 99%
“…For example, by using commercially available or homefabricated piezoelectric transducers, PASA has been explored for applications in diagnosis of prostate cancer [6,12,13] and evaluation of liver conditions [7,8,14]. In these studies, PASA was performed on the tissue level, and the targeted biological tissues (e.g., small vessels, cellular groups, and lipid clusters) have features on the scale of over 100 microns.…”
Section: Introductionmentioning
confidence: 99%
“…PASA was successfully used to identify prostate adenocarcinoma tumors in a murine model [12]. Changes in livers, breast, and other tumor tissue have also been characterized using PASA [17]. Recent series study also find that PASA can estimate the dimensions of the optical absorbers [13][14][15].…”
Section: Introductionmentioning
confidence: 96%
“…Exploiting the spectrum of PA signal amplitude at a range of PA wave frequency, frequency domain analysis has shown potential in determining important parameters, such as the size and concentration, of the optical absorber and thus enabling the quantitative characterization of the prostate tissue, as demonstrated by Kumon et al, Sinha et al, and Patterson et al [87][88][89] Several challenges, however, are faced in the development of both PAI spectroscopy and frequency domain analysis towards clinical implementation. The spectral parameters are likely to be di®erent in an in vivo system, due to the overlying tissue; the algorithm for chromophore PA image reconstrucion is more complicated in reality, given that there are more components than dHb, HbO 2 , lipids, and water in biological tissues.…”
Section: Pai Of Prostate Cancer Using Endogenous Contrastmentioning
confidence: 99%