PROSTATE CANCER DIAGNOSTICS MODELING USING THE INFRARED IMAGING METHOD

Authors

  • B. PARTSVANIA Georgian Technical University, Institute of Cybernetics, Tbilisi, Georgia
  • T. SULABERIDZE Georgian Technical University, Institute of Cybernetics, Tbilisi, Georgia
  • A. KHUSKIVADZE Georgia-Israel Joint Clinic “Gidmrdi” Tbilisi, Georgia
  • S. ABAZADZE Georgia-Israel Joint Clinic “Gidmrdi” Tbilisi, Georgia

DOI:

https://doi.org/10.15407/exp-oncology.2024.03.268

Keywords:

prostate cancer, non-invasive diagnosis, modeling

Abstract

Background. Imaging plays an important role in the identification of prostate cancer (PCa). However, a shortcoming of the current imaging techniques is their inability to detect PCa at an early stage of development when tumor volume is small. This led us to explore new and improved imaging methods. The phenomenon that infrared (IR) light penetrates biological tissues caused our efforts to utilize IR rays for PCa visualization. The aim of this study was to conduct model experiments to demonstrate how IR light could be used in the future to detect PCa in vivo. Materials and Methods. Experiments were carried out on prostates obtained after radical prostatectomy. The study was approved by the ethical commission of the Georgia-Israel Joint Clinic “Gidmedi”. We developed a device that uses IR light to illuminate a prostate from the inside. In order to get IR images of the prostate, we developed a device with an IR-sensitive charge-coupled device (CCD) camera. The model experiments showed that the intensity of IR light passing through noncancerous and malignant prostate tissues is significantly different allowing their distinguishment. The visualization device can detect PCa lesions as small as several millimeters. Conclusion. These results suggest that our device could be useful for the detection of small PCa lesions.

References

Siegel RL, Miller KD, Jemal A. Cancer statistics. CA Cancer J Clin. 2015;65(1):5­29. https://doi.org/10.3322/ caac.21254

Merriel SWD, Pocock L, Gilbert E, et al. Systematic review and meta­analysis of the diagnostic accuracy of prostate­ specific antigen (PSA) for the detection of prostate cancer in symptomatic patients. BMC Med. 2022;20(54). https:// doi.org/10.1186/s12916­021­02230­y

Bailey DL, Townsend DW, Valk PE, Maisy MN. Positron Emission Tomography: Basic Sciences. Secaucus, NJ: Spring­ er­Verlag. 2005. ISBN 978­1­85233­798­8.

Daryanani A, Turkbey B. Recent advancements in CT and MR imaging of prostate cancer. Semin Nucl Med. 2022;52(3):365­373. https://doi.org/10.1053/j.semnuclmed

Leen N, Harkanwal R, Zahra S, et al. Digital rectal examination for prostate cancer screening in primary care: A sys­ tematic review and meta­analysis. Aust Fam Med. 2018;16(2):149­154. https://doi.org/10.1370/afm.2205

Pedler K, Kitzing YX, Mohan CV, Arianayagam M. The current status of MRI in prostate cancer. Aust Fam Physician. 2015;44(4):225­230.

Formica D, Silvestri S. Biological effects of exposure to magnetic resonance imaging: an overview. Biomed Eng On- line. 2004;22(3). https://doi.org/10.1186/1475­925X­3­11

Bonekamp D, Jacobs MA, El­Khouli R, et al. Advancements in MR imaging of the prostate: from diagnosis to inter­ ventions. Radiographics. 2011;31(3):677­703. https://doi.org/10.1148/rg.313105139

Harvey CJ, Pilcher J, Richenberg J, et al. Applications of transrectal ultrasound in prostate cancer. Br J Radiol. 2012;85(Spec.Iss.1):S3­S17. https://doi.org/10.1259/bjr/56357549

Korevaar S, Tennakoon R, Page M. et al. Incidental detection of prostate cancer with computed tomography scans. Sci Rep. 2021;11(1):7956. https://doi.org/10.1038/s41598­021­86972­y

Minamimoto R, Senda M, Jinnouchi S, et al. Detection of prostate cancer by an FDG­PET cancer screening program: results from a Japanese nationwide survey. Asia Ocean J Nucl Med Biol. 2014;2(1):19­23. PMID: 27408855.

Polom W, Markuszewski M, Rho YS, Matuszewski M. Usage of invisible near infrared light (NIR) fluorescence with indocyanine green (ICG) and methylene blue (MB) in urological oncology. Part 1. Cent European J Urol. 2014;67(2):142­148. https://doi.org/10.5173/ceju.2014.02.art5

Wang X, Huang SS, Heston WD, et al. Development of targeted near­infrared imaging agents for prostate cancer. Mol Cancer Ther. 2014;13(11):2595­2606. https://doi.org/10.1158/1535­7163.

Partsvania B, Petriashvili G, Fonjavidze N. Possibility of using near infrared irradiation for early cancer diagnosis.

Electromagn Biol Med. 2014;33(1):18­20. https://doi.org/10.3109/15368378.2013.783845.

Khuskivadze A, Partsvania B, Kochiashvili D. Visualization of human prostate cancer using infrared radiation. Uro- logy. 2014;84:S304.

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Published

19.12.2024

How to Cite

PARTSVANIA, B., SULABERIDZE, T., KHUSKIVADZE, A., & ABAZADZE, S. (2024). PROSTATE CANCER DIAGNOSTICS MODELING USING THE INFRARED IMAGING METHOD. Experimental Oncology, 46(3), 268–272. https://doi.org/10.15407/exp-oncology.2024.03.268

Issue

Section

Methods and techniques