Literature DB >> 29935081

Interstitial assessment of aggressive prostate cancer by physio-chemical photoacoustics: An ex vivo study with intact human prostates.

Shengsong Huang1, Yu Qin2, Yingna Chen2, Jing Pan2, Chengdang Xu1, Denglong Wu1, Wan-Yu Chao3, John T Wei4, Scott A Tomlins5, Xueding Wang6,7, J Brian Fowlkes6, Paul L Carson6, Qian Cheng2, Guan Xu1,6.   

Abstract

PURPOSE: Transrectal ultrasound (TRUS)-guided biopsy is the standard procedure for evaluating the presence and aggressiveness of prostate cancer. TRUS biopsy involves tissue removal, and suffers from low core yield as well as high false negative rate. A less invasive and more accurate diagnostic procedure for prostate cancer is therefore highly desired. Combining the optical sensitivity and ultrasonic resolution to resolve the spatial distribution of the major molecular components in tissue, photoacoustic (PA) technology could be an alternative approach for the diagnosis of prostate cancer. The purpose of this study was to examine the feasibility of identifying aggressive prostate cancer using interstitial PA measurements.
METHODS: Seventeen patients with prebiopsy magnetic resonance imaging (MRI), TRUS biopsies, and planned prostatectomies were enrolled in this study. The interstitial PA measurements were achieved using our recently developed needle PA probe, which was inserted into the ex vivo prostates in the fashion of a biopsy needle. A total of 70 interstitial PA measurements were acquired. The PA measurements were quantified by a previously established PA physio-chemical analysis (PAPCA) method. The histology has confirmed the nonaggressive and aggressive cancerous conditions at the insertion locations. The diagnostic accuracy was also compared to that provided by the prebiopsy MRI.
RESULTS: The quantitative study shows significant differences between the individual parameters of the nonaggressive and the aggressive cancerous regions (P < 0.005). Multivariate analysis of the quantitative features achieved a diagnostic accuracy of 78.6% for differentiating nonaggressive and aggressive prostate cancer tissues.
CONCLUSIONS: The proposed procedure has shown promises in the diagnosis of aggressive prostate cancer.
© 2018 American Association of Physicists in Medicine.

Entities:  

Keywords:  medical imaging; optoacoustics; photoacoustic physio-chemical analysis; photoacoustic spectral analysis; prostate cancer

Year:  2018        PMID: 29935081      PMCID: PMC6629517          DOI: 10.1002/mp.13061

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  29 in total

1.  Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. 1974.

Authors:  Donald F Gleason; George T Mellinger
Journal:  J Urol       Date:  2002-02       Impact factor: 7.450

2.  Photoacoustic spectrum analysis for microstructure characterization in biological tissue: A feasibility study.

Authors:  Guan Xu; Irfaan A Dar; Chao Tao; Xiaojun Liu; Cheri X Deng; Xueding Wang
Journal:  Appl Phys Lett       Date:  2012-11-26       Impact factor: 3.791

3.  Interstitial photoacoustic spectral analysis: instrumentation and validation.

Authors:  Haonan Zhang; Wan-Yu Chao; Qian Cheng; Shengsong Huang; Xueding Wang; Denglong Wu; Guan Xu
Journal:  Biomed Opt Express       Date:  2017-02-21       Impact factor: 3.732

Review 4.  Image-guided prostate biopsy using magnetic resonance imaging-derived targets: a systematic review.

Authors:  Caroline M Moore; Nicola L Robertson; Nasr Arsanious; Thomas Middleton; Arnauld Villers; Laurence Klotz; Samir S Taneja; Mark Emberton
Journal:  Eur Urol       Date:  2012-06-13       Impact factor: 20.096

5.  Photoacoustic spectrum analysis for microstructure characterization in biological tissue: analytical model.

Authors:  Guan Xu; J Brian Fowlkes; Chao Tao; Xiaojun Liu; Xueding Wang
Journal:  Ultrasound Med Biol       Date:  2015-03-06       Impact factor: 2.998

6.  Frequency-domain analysis of photoacoustic imaging data from prostate adenocarcinoma tumors in a murine model.

Authors:  Ronald E Kumon; Cheri X Deng; Xueding Wang
Journal:  Ultrasound Med Biol       Date:  2011-03-03       Impact factor: 2.998

7.  In vivo label-free photoacoustic microscopy of cell nuclei by excitation of DNA and RNA.

Authors:  Da-Kang Yao; Konstantin Maslov; Kirk K Shung; Qifa Zhou; Lihong V Wang
Journal:  Opt Lett       Date:  2010-12-15       Impact factor: 3.776

8.  Label-free bond-selective imaging by listening to vibrationally excited molecules.

Authors:  Han-Wei Wang; Ning Chai; Pu Wang; Song Hu; Wei Dou; David Umulis; Lihong V Wang; Michael Sturek; Robert Lucht; Ji-Xin Cheng
Journal:  Phys Rev Lett       Date:  2011-06-10       Impact factor: 9.161

9.  Magnetic resonance imaging/ultrasound-fusion biopsy significantly upgrades prostate cancer versus systematic 12-core transrectal ultrasound biopsy.

Authors:  M Minhaj Siddiqui; Soroush Rais-Bahrami; Hong Truong; Lambros Stamatakis; Srinivas Vourganti; Jeffrey Nix; Anthony N Hoang; Annerleim Walton-Diaz; Brian Shuch; Michael Weintraub; Jochen Kruecker; Hayet Amalou; Baris Turkbey; Maria J Merino; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  Eur Urol       Date:  2013-06-12       Impact factor: 20.096

10.  Performance of transperineal template-guided mapping biopsy in detecting prostate cancer in the initial and repeat biopsy setting.

Authors:  A V Taira; G S Merrick; R W Galbreath; H Andreini; W Taubenslag; R Curtis; W M Butler; E Adamovich; K E Wallner
Journal:  Prostate Cancer Prostatic Dis       Date:  2009-09-29       Impact factor: 5.554

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  5 in total

1.  Cylindrical illumination with angular coupling for whole-prostate photoacoustic tomography.

Authors:  Brittani Bungart; Yingchun Cao; Tiffany Yang-Tran; Sean Gorsky; Lu Lan; Darren Roblyer; Michael O Koch; Liang Cheng; Timothy Masterson; Ji-Xin Cheng
Journal:  Biomed Opt Express       Date:  2019-02-22       Impact factor: 3.732

2.  Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis.

Authors:  Shiying Wu; Ying Liu; Yingna Chen; Chengdang Xu; Panpan Chen; Mengjiao Zhang; Wanli Ye; Denglong Wu; Shengsong Huang; Qian Cheng
Journal:  Photoacoustics       Date:  2021-12-18

3.  Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.

Authors:  Kangmu Ma; Shiying Wu; Shixing Huang; Weiya Xie; Mengjiao Zhang; Yingna Chen; Pengxiong Zhu; Jun Liu; Qian Cheng
Journal:  Photoacoustics       Date:  2022-03-05

4.  Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal.

Authors:  G Ramkumar; P Bhuvaneswari; R Radhika; S Saranya; S Vijayalakshmi; M Karpagam; Florin Wilfred
Journal:  Contrast Media Mol Imaging       Date:  2022-09-20       Impact factor: 3.009

5.  Optical-Resolution Photoacoustic Microscopy Using Transparent Ultrasound Transducer.

Authors:  Haoyang Chen; Sumit Agrawal; Ajay Dangi; Christopher Wible; Mohamed Osman; Lidya Abune; Huizhen Jia; Randall Rossi; Yong Wang; Sri-Rajasekhar Kothapalli
Journal:  Sensors (Basel)       Date:  2019-12-11       Impact factor: 3.576

  5 in total

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