UTILIZING INFRARED IMAGING TO EVALUATE THE AGGRESSIVENESS OF PROSTATE CANCER

Authors

  • B. Partsvania Georgian Technical University, Institute of Cybernetics, Tbilisi, Georgia
  • T. Sulaberidze Georgian Technical University, Institute of Cybernetics, Tbilisi, Georgia
  • A. Khuskivadze Geogia-Israel Joint Clinic “Gidmrdi”
  • S. Abazadze Geogia-Israel Joint Clinic “Gidmrdi”
  • T. Gogoladze Georgian Technical University, Institute of Cybernetics, Tbilisi, Georgia

DOI:

https://doi.org/10.15407/exp-oncology.2025.03.377

Keywords:

prostate cancer, infrared imaging, aggressiveness, diagnosis

Abstract

Background. Prostate cancer (PCa) remains a leading cause of cancer-related deaths among men. While PSA screening has reduced mortality, the lack of its specificity and limitations of biopsy necessitate alternative diagnostic approaches. Aim. To evaluate the aggressiveness of PCa using an infrared (IR) imaging technique to improve PCa detection and treatment planning. Materials and Methods. We conducted a study using IR imaging on formalin-fixed paraffin-embedded prostate tissue samples from 60 patients who underwent radical prostatectomy. An IR-sensitive CCD camera, a holder for the sample, and an IR irradiation source (LED 850 nm) are parts of the experimental setup. Custom software was used to analyze tissue samples. For each aggressiveness group (low, intermediate, high; n = 20 per group), the ratio of average illumination (RAI) between malignant and healthy regions was calculated. Results. RAIs between malignant area and healthy areas for different aggressiveness levels (mean ± 95% CI) were low-aggressiveness [6.8—7.2], intermediate [5.2—6.1], and high-aggressiveness [4.4—5.0]. These intervals did not overlap. The control (benign) tissues showed RAI > 7.5. The method demonstrated a sensitivity of 88% and specificity of 91% in distinguishing highly aggressive tumors. Conclusion. IR imaging reliably differentiates PCa aggressiveness, with non-overlapping RAI intervals for each group. This technique may enhance early detection and guide personalized treatment strategies.

References

Siegel RL, Miller Kd, fuchs hE, Jemal A. Cancer statistics, 2025. CA Cancer J Clin. 2025;75(1):7-33. https://doi. org/10.3322/caac.21871

Sung h, ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mor- tality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209-249. https://doi.org/10.3322/ caac.21660

American Cancer Society. Key statistics for prostate cancer. Atlanta: American Cancer Society; 2023. Available from: https://www.cancer.org/cancer/prostate-cancer/about/key-statistics.html

World health Organization. Global cancer burden growing, amidst mounting need for services. Geneva: WhO; 2024 feb 1. Available from: https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing--amidst- mounting-need-for-services

ferlay J, Ervik M, Lam f, et al. Global Cancer Observatory: Cancer Today. Lyon, france: International Agency for Research on Cancer; 2020. Available from: https://gco.iarc.fr/today

Schröder fh, hugosson J, Roobol MJ, et al. Prostate-cancer mortality at 11 years of follow-up. N Engl J Med. 2012;366(11):981-990. https://doi.org/10.1056/NEJMoa1113135.

hugosson J, Carlsson S, Aus G, et al. Mortality results from the Göteborg randomised population-based prostate- cancer screening trial. Lancet Oncol. 2010;11(8):725-732. https://doi.org/10.1016/S1470-2045(10)70143-7.

Martin RM, donovan JL, Turner EL, et al. Effect of a low-intensity PSA-based screening intervention on pros- tate cancer mortality: the CAP randomized clinical trial. JAMA. 2024;331(17):1717-1727. https://doi.org/10.1001/ jama.2024.3549.

Roobol MJ, Carlsson SV. Screening for prostate cancer. Hematol Oncol Clin North Am. 2020;34(2):221-236. https:// doi.org/10.1016/j.hoc.2019.11.007.

Pinsky Pf, Prorok PC, Kramer BS. Prostate cancer screening — a perspective on the current state of the evidence.

N Engl J Med. 2017;376(15):1457-1464. https://doi.org/10.1056/NEJMra1611696.

Cherney K. Aggressive Prostate Cancer: What it is and how It’s Treated. healthline, 2023. Available from: https:// www.healthline.com/health/prostate-cancer/aggressive-prostate-cancer

Cooperberg MR, Carroll PR. Trends in management for patients with localized prostate cancer, 1990–2013. JAMA. 2015;314(1):80-82. https://doi.org/10.1001/jama.2015.6820

Giganti f, Allen C, Emberton M, et al. factors influencing variability in the performance of multiparametric mag- netic resonance imaging in detecting clinically significant prostate cancer: a systematic literature review. Eur Urol Oncol. 2020;3(2):145-167. https://doi.org/10.1016/j.euo.2019.12.0061

Jansen BhE, Oudshoorn fhK, Tijans AM, et al. Local staging with multiparametric MRI in daily clinical practice: diagnostic accuracy and evaluation of a radiologic learning curve. World J Urol. 2018;36(8):1201-1207. https://doi. org/10.1007/s00345-018-2295-6

Schoots IG, Petrides N, Giganti f, et al. Magnetic resonance imaging in prostate cancer detection: A systema- tic review and meta-analysis of diagnostic accuracy. Eur Urol. 2025;87(1):45-56. https://doi.org/10.1016/j.euru- ro.2024.11.005

de Rooij M, hamoen EhJ, fütterer JJ, et al. Accuracy of multiparametric MRI for prostate cancer detection: a meta- analysis. AJR Am J Roentgenol. 2014;202(2):343-351. https://doi.org/10.2214/AJR.13.11046

Turkbey B, Rosenkrantz AB, haider MA, et al. Multiparametric MRI for prostate cancer detection and risk stratifi- cation: a critical review. Radiology. 2019;292(2):343-356. https://doi.org/10.1148/radiol.2019182460

Partsvania B, Sulaberidze T, Khuskivadze A, Abazadze S. Prostate cancer diagnostics modeling using the infrared imaging method. Exp Oncol. 2024;46(3):268-272. https://doi.org/10.15407/exp-oncology.2024.03.268.

Partsvania B, Petriashvili G, fonjavidze N. Possibility of using near infrared irradiation for early cancer diagnosis. Electromagn Biol Med. 2014;33(1):18-20. https://doi.org/10.3109/15368378.2013.783845.

Khuskivadze A, Partsvania B, Kochiashvili d. Visualization of human prostate cancer using infrared radiation. Urology. 2014;84(4 Suppl):S304.

Abazadze S, Khuskivadze A, Kochiashvili d, Partsvania B. dependence of prostate tissue permeability on the wave- length of radiation in the infrared range of the spectrum. Georgian Med News. 2021;(321):111-115.

Epstein JI, Zelefsky MJ, Sjoberg dd, et al. A Contemporary Prostate Cancer Grading System: A validated alterna- tive to the Gleason score. Eur Urol. 2016;69(3):428-435. https://doi.org/10.1016/j.eururo.2015.06.046

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Published

30.12.2025

How to Cite

Partsvania, B., Sulaberidze, T., Khuskivadze, A., Abazadze, S., & Gogoladze, T. (2025). UTILIZING INFRARED IMAGING TO EVALUATE THE AGGRESSIVENESS OF PROSTATE CANCER. Experimental Oncology, 47(3), 377–384. https://doi.org/10.15407/exp-oncology.2025.03.377

Issue

Section

Methods and techniques