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Technical innovations in imaging sciences


Multispectral Photoacoustic Imaging of Prostate Cancer: Preliminary Ex-vivo Results.

Vikram S DograBhargava K ChinniKeerthi S ValluruJean V JosephAhmed GhaziJorge L YaoKatie EvansEdward M MessingNavalgund A Rao
Departments of Radiology, Urology, and BME, and Imaging Sciences, University of Rochester, Departments of Urology, Pathology, and Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY 14642, Center for Imaging Sciences, Rochester Institute of Technology, Lomb Memorial Drive, Rochester, NY 14623, USA
Date of Submission: 08-Aug-2013, Date of Acceptance: 11-Sep-2013, Date of Web Publication: 30-Sep-2013.
Corresponding Author:
Corresponding Author

Vikram S. Dogra

University of Rochester, 601 Elmwood Avenue, Box 648, Rochester, NY 14642, USA.
E-mail: Vikram_Dogra@urmc.rochester.edu

Corresponding Author:
Corresponding Author

Vikram S. Dogra

University of Rochester, 601 Elmwood Avenue, Box 648, Rochester, NY 14642, USA.
E-mail: Vikram_Dogra@urmc.rochester.edu

DOI: 10.4103/2156-7514.119139 Facebook Twitter Google Linkedin

ABSTRACT



Objective: The 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 Methods: Institutional 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.
Results: Our 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.
Conclusion: Our preliminary results of ex-vivo human prostate study suggest that multispectral PA imaging can differentiate between malignant prostate, BPH and normal prostate tissue.
Keywords: Multispectral, Photoacoustic, Prostate

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  1. Laurie J. Rich and Mukund Seshadri (2015) Photoacoustic imaging of salivary glands. Biomed. Opt. Express 6(9):3157. doi: 10.1364/BOE.6.003157
  2. Andrzej Krol, Barjor Gimi, Sowmiya C. and Arun K. Thittai (2017) Simulation of photoacoustic tomography (PAT) system in COMSOL and comparison of two popular reconstruction techniques . . Conference Presentation in Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging 101371O. doi: 10.1117/12.2254450
  3. Laurie J. Rich, Sandra Sexton, Leslie Curtin and Mukund Seshadri (2017) Spatiotemporal Optoacoustic Mapping of Tumor Hemodynamics in a Clinically Relevant Orthotopic Rabbit Model of Head and Neck Cancer. Translational Oncology 10(5):839. doi: 10.1016/j.tranon.2017.08.004
  4. Shengsong Huang, Yu Qin, Yingna Chen, Jing Pan, Chengdang Xu, Denglong Wu, Wan-Yu Chao, John T. Wei, Scott A. Tomlins, Xueding Wang, J. Brian Fowlkes, Paul L. Carson, Qian Cheng and Guan Xu (2018) Interstitial assessment of aggressive prostate cancer by physio-chemical photoacoustics: An ex vivo study with intact human prostates. Med. Phys. 45(9):4125. doi: 10.1002/mp.13061
  5. S Patch, M Thomas, D Hull, S Griep, K Jacobsohn and W See (2014) Thermoacoustic contrast of prostate cancer due to heating by very high frequency irradiation. . Conference Presentation in 2014 IEEE International Ultrasonics Symposium 1670. doi: 10.1109/ULTSYM.2014.0414
  6. Kalloor Joseph Francis, Bhargava Chinni, Sumohana S. Channappayya, Rajalakshmi Pachamuthu, Vikram S. Dogra and Navalgund Rao (2017) Characterization of lens based photoacoustic imaging system. Photoacoustics 8:37. doi: 10.1016/j.pacs.2017.09.003
  7. Sreyankar Nandy, Atahar Mostafa, Ian S. Hagemann, Matthew A. Powell, Eghbal Amidi, Kathryn Robinson, David G. Mutch, Cary Siegel and Quing Zhu (2018) Evaluation of Ovarian Cancer: Initial Application of Coregistered Photoacoustic Tomography and US. Radiology 289(3):740. doi: 10.1148/radiol.2018180666
  8. Johan G. Bosch, Marvin M. Doyley, Saugata Sinha, Navalgund A. Rao, Keerthi S. Valluru, Bhargava K. Chinni, Vikram S. Dogra and Maria Helguera (2014) Frequency analysis of multispectral photoacoustic images for differentiating malignant region from normal region in excised human prostate. . Conference Presentation in Medical Imaging 2014: Ultrasonic Imaging and Tomography 90400P. doi: 10.1117/12.2043802
  9. Dong-qing Peng, Yuan-yuan Peng, Jian Guo and Hui Li (2016) Laser Illumination Modality of Photoacoustic Imaging Technique for Prostate Cancer. J. Phys.: Conf. Ser. 679:012026. doi: 10.1088/1742-6596/679/1/012026
  10. Kamal Jnawali, Bhargava Chinni, Vikram Dogra, Navalgund Rao, Horst K. Hahn and Kensaku Mori (2019) Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging. . Conference Presentation in Medical Imaging 2019: Computer-Aided Diagnosis 140. doi: 10.1117/12.2506950
  11. Saugata Sinha, Navalgund A. Rao, Bhargava K. Chinni and Vikram S. Dogra (2016) Evaluation of Frequency Domain Analysis of a Multiwavelength Photoacoustic Signal for Differentiating Malignant From Benign and Normal Prostates. 35(10):2165. doi: 10.7863/ultra.15.09059
  12. Kalloor Joseph Francis, Bhargava Chinni, Sumohana S. Channappayya, Rajalakshmi Pachamuthu, Vikram S. Dogra and Navalgund Rao (2019) Multiview spatial compounding using lens-based photoacoustic imaging system. Photoacoustics 13:85. doi: 10.1016/j.pacs.2019.01.002
  13. Mohsen Erfanzadeh and Quing Zhu (2019) Photoacoustic imaging with low-cost sources; A review. Photoacoustics 14:1. doi: 10.1016/j.pacs.2019.01.004
  14. Dong-qing Peng, Wen-ming Xie, Jian Guo, Jia-ming Tang, Zhifang Li and Hui Li (2015) Light absorption distribution of prostate tissue irradiated by diffusing light source. Optoelectron. Lett. 11(3):237. doi: 10.1007/s11801-015-5020-3
  15. Laurie J. Rich and Mukund Seshadri (2015) Photoacoustic Imaging of Vascular Hemodynamics: Validation with Blood Oxygenation Level–Dependent MR Imaging. Radiology 275(1):110. doi: 10.1148/radiol.14140654
  16. Keerthi S. Valluru, Katheryne E. Wilson and Jürgen K. Willmann (2016) Photoacoustic Imaging in Oncology: Translational Preclinical and Early Clinical Experience. Radiology 280(2):332. doi: 10.1148/radiol.16151414
  17. Xuanjin Yang and Liangzhong Xiang (2017) Photoacoustic imaging of prostate cancer. J. Innov. Opt. Health Sci. 10(04):1730008. doi: 10.1142/S1793545817300087
  18. Ivan Kosik, Muriel Brackstone, Anat Kornecki, Astrid Chamson-Reig, Philip Wong, Morteza Haydari, Jeff Carson, Alexander A. Oraevsky and Lihong V. Wang (2019) Intraoperative photoacoustic screening: a breast surgical center experience. . Conference Presentation in Photons Plus Ultrasound: Imaging and Sensing 2019 13. doi: 10.1117/12.2509552
  19. Vikram Dogra, Bhargava Chinni, Shalini Singh, Hans Schmitthenner, Navalgund Rao, John J. Krolewski and Kent L. Nastiuk (2016) Photoacoustic imaging with an acoustic lens detects prostate cancer cells labeled with PSMA-targeting near-infrared dye-conjugates. J. Biomed. Opt 21(6):066019. doi: 10.1117/1.JBO.21.6.066019
  20. Keerthi S. Valluru and Juergen K. Willmann (2016) Clinical photoacoustic imaging of cancer. Ultrasonography 35(4):267. doi: 10.14366/usg.16035
  21. Bhargava Chinni, Vikram Dogra, Zichao Han, Navalgund Rao, Pedro Vallejo, Wayne Knox, Julie Bentley and Ronald Wood (2015) Fabrication of a novel C-scan photoacoustic imaging camera. . Conference Presentation in 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS) 1. doi: 10.1109/BioCAS.2015.7348455
  22. Kenichiro Okumura, Junichi Matsumoto, Yasunori Iwata, Kotaro Yoshida, Norihide Yoneda, Takahiro Ogi, Azusa Kitao, Kazuto Kozaka, Wataru Koda, Satoshi Kobayashi, Dai Inoue, Norihiko Sakai, Kengo Furuichi, Takashi Wada, Toshifumi Gabata and Niels Olsen Saraiva Câmara (2018) Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury. PLoS ONE 13(12):e0206461. doi: 10.1371/journal.pone.0206461
  23. Kamal Jnawali, Bhargava Chinni, Vikram Dogra, Saugata Sinha, Navalgund Rao, Nicole V. Ruiter and Brett C. Byram (2019) Deep 3D convolutional neural network for automatic cancer tissue detection using multispectral photoacoustic imaging. . Conference Presentation in Medical Imaging 2019: Ultrasonic Imaging and Tomography 51. doi: 10.1117/12.2518686
  24. Ryan K. W. Chee, Peiyu Zhang, Mohammad Maadi and Roger J. Zemp (2017) Multifrequency Interlaced CMUTs for Photoacoustic Imaging. IEEE Trans. Ultrason., Ferroelect., Freq. Contr. 64(2):391. doi: 10.1109/TUFFC.2016.2620381
  25. Brittani L. Bungart, Lu Lan, Pu Wang, Rui Li, Michael O. Koch, Liang Cheng, Timothy A. Masterson, Murat Dundar and Ji-Xin Cheng (2018) Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets. Photoacoustics 11:46. doi: 10.1016/j.pacs.2018.07.006
  26. Shanshan Tang, Jian Chen, Pratik Samant, Kelly Stratton and Liangzhong Xiang (2016) Transurethral Photoacoustic Endoscopy for Prostate Cancer: A Simulation Study. IEEE Trans. Med. Imaging 35(7):1780. doi: 10.1109/TMI.2016.2528123
  27. Chang H. Lee, Jeff Folz, Joel W. Y. Tan, Janggun Jo, Xueding Wang and Raoul Kopelman (2019) Chemical Imaging in Vivo: Photoacoustic-Based 4-Dimensional Chemical Analysis. Anal. Chem. 91(4):2561. doi: 10.1021/acs.analchem.8b04797
  28. S K Patch, D Hull, M Thomas, SK Griep, K Jacobsohn and WA See (2015) Thermoacoustic contrast of prostate cancer due to heating by very high frequency irradiation. Phys. Med. Biol. 60(2):689. doi: 10.1088/0031-9155/60/2/689
  29. Jörgen Elgqvist (2017) Nanoparticles as Theranostic Vehicles in Experimental and Clinical Applications—Focus on Prostate and Breast Cancer. IJMS 18(5):1102. doi: 10.3390/ijms18051102
  30. Mohsen Erfanzadeh, Patrick D. Kumavor and Quing Zhu (2018) Laser scanning laser diode photoacoustic microscopy system. Photoacoustics 9:1. doi: 10.1016/j.pacs.2017.10.001
  31. Alexander A. Oraevsky, Lihong V. Wang, Bhargava Chinni, Zichao Han, Nicholas Brown, Pedro Vallejo, Tess Jacobs, Wayne Knox, Vikram Dogra and Navalgund Rao (2016) Multi-acoustic lens design methodology for a low cost C-scan photoacoustic imaging camera . . Conference Presentation in Photons Plus Ultrasound: Imaging and Sensing 2016 97081Q. doi: 10.1117/12.2212933
  32. Katheryne E. Wilson, Keerthi S. Valluru and Jürgen K. Willmann (2017) Design and Applications of Nanoparticles in Biomedical Imaging. (Chapter 15):315. doi: 10.1007/978-3-319-42169-8_15
  33. Ivan Kosik, Muriel Brackstone and Anat Kornecki (2019) Intraoperative photoacoustic screening of breast cancer: a new perspective on malignancy visualization and surgical guidance. J. Biomed. Opt. 24(05):1. doi: 10.1117/1.JBO.24.5.056002

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