This study aimed to clinically translate our previously proposed translational needle photoacoustic (PA) probe by integrating it with standard prostate biopsy procedures. The all-optical components, enclosed within an 18G clinical standard steel needle, included an optical fiber diffusor and a fiber hydrophone. During the biopsy, the needle PA probe was inserted into the prostate through a guide needle, monitored by real-time transrectal ultrasound imaging fused with pre-procedure magnetic resonance imaging (MRI). Tunable wavelengths were employed to target specific tissue components. For each patient, we focused on one normal area and one cancerous area, as identified by MRI. We then quantified the PA signals via PA spectral analysis and compared them with histology results. This ongoing study aims to demonstrate the effectiveness of our proposed method in differentiating between normal and cancerous tissues in the human prostate.
Our previous investigations effectively employed an interstitial all-optical needle photoacoustic sensing probe on ex vivo tissue studies. In this study, our goal is to locate aggressive PCa within an intact prostate ex vivo using our latest version translational needle PA probe. Targeting specific tissue components, we utilized wavelengths of 1220nm, 1370nm, 800nm, and 266nm. Evans blue dye was injected at the measured positions for histopathology analysis. The acquired photoacoustic signals were analyzed using PASA, including spectrum slopes and midbandfits derived at all wavelengths. With the limited number of insertions, we were able to identify cancers in 3 out of 4 prostates. This non-invasive methodology holds considerable promise for future clinical applications.
In this study, we developed a prototype interstitial all-optical needle photoacoustic sensing probe for clinical translation of prostate cancer. The performance of the PA needle probe was examined on intact human prostates ex vivo to simulate the transrectal ultrasound (US) guided transperineal prostate biopsy procedures. Analysis based on PA spectrum analysis in 8-28 MHz range of acquired RF signals at multi-wavelengths shows statistical difference between benign and cancerous regions (n=49, p<0.05). Multivariate SVM analysis using linear and midbandfit parameters can obtain an accuracy close to 90%.
This study examines the performance of an all-optical and disposable photoacoustic needle probe for characterizing the aggressiveness of prostate cancer in human samples ex vivo. The needle probe consists of a 800um diameter fiber diffuser and a 200um diameter fiber optics hydrophone. The signals acquired by the needle probes were quantified by photoacoustic spectral analysis and envelop statistic methods. Both methods have differentiated between normal tissues and cancerous tissues (n=30 p<0.005), as well as between indolent and aggressiveness cancer tissues (n=16, p<0.01) with statistical significance.
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