Literature DB >> 24817621

Optoacoustic characterization of prostate cancer in an in vivo transgenic murine model.

Michelle P Patterson1, Christopher B Riley2, Michael C Kolios3, William M Whelan1.   

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 frequency (RF) data. Integration of the signal amplitude images was performed to construct two-dimensional images of the ROI. The prostate tumors generated higher amplitude signals than those of the surrounding tissues, with contrast ratios ranging from 31 to 36 dB. The RF spectrum analysis showed significant differences between the tumor and the control mice. The midband fit was higher by 5 dB (62%), the intercept higher by 4 dB (57%) and the spectral slope higher by 0.4 dB/MHz (50%) for neoplastic prostate tissue compared to normal tissues in the control mice. The results demonstrate that OA offers high contrast imaging of prostate cancer in vivo.

Entities:  

Mesh:

Year:  2014        PMID: 24817621     DOI: 10.1117/1.JBO.19.5.056008

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  8 in total

1.  Characterizing cellular morphology by photoacoustic spectrum analysis with an ultra-broadband optical ultrasonic detector.

Authors:  Ting Feng; Qiaochu Li; Cheng Zhang; Guan Xu; L Jay Guo; Jie Yuan; Xueding Wang
Journal:  Opt Express       Date:  2016-08-22       Impact factor: 3.894

2.  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

Review 3.  Photoacoustic image-guided interventions.

Authors:  Madhumithra S Karthikesh; Xinmai Yang
Journal:  Exp Biol Med (Maywood)       Date:  2019-11-20

4.  Quantifying Gleason scores with photoacoustic spectral analysis: feasibility study with human tissues.

Authors:  Guan Xu; Mandy C Davis; Javed Siddiqui; Scott A Tomlins; Shengsong Huang; Lakshmi P Kunju; John T Wei; Xueding Wang
Journal:  Biomed Opt Express       Date:  2015-11-09       Impact factor: 3.732

5.  Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Among Malignant, Benign, and Normal Thyroids in an Ex Vivo Study With Human Thyroids.

Authors:  Saugata Sinha; Vikram S Dogra; Bhargava K Chinni; Navalgund A Rao
Journal:  J Ultrasound Med       Date:  2017-06-08       Impact factor: 2.153

6.  Optoacoustic diagnostic modality: from idea to clinical studies with highly compact laser diode-based systems.

Authors:  Rinat O Esenaliev
Journal:  J Biomed Opt       Date:  2017-09-01       Impact factor: 3.170

7.  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

8.  Spatial heterogeneity of oxygenation and haemodynamics in breast cancer resolved in vivo by conical multispectral optoacoustic mesoscopy.

Authors:  Jiao Li; Andrei Chekkoury; Jaya Prakash; Sarah Glasl; Paul Vetschera; Benno Koberstein-Schwarz; Ivan Olefir; Vipul Gujrati; Murad Omar; Vasilis Ntziachristos
Journal:  Light Sci Appl       Date:  2020-04-13       Impact factor: 17.782

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.