Visualization and morphometrics of changes in cervical biotissues based on normalized spectral indices

  • Olexandr Roslyakov Department of Correlation Optics, Educational and Scientific Institute of Physical, Technical and Computer Sciences, Yuriy Fedkovych Chernivtsi National University, 101 Storozhynetska St., Chernivtsi, 58029, Ukraine https://orcid.org/0009-0008-8316-9544
  • Sergiy Yermolenko Department of Correlation Optics, Educational and Scientific Institute of Physical, Technical and Computer Sciences, Yuriy Fedkovych Chernivtsi National University, 101 Storozhynetska St., Chernivtsi, 58029, Ukraine https://orcid.org/0009-0004-5085-460X
  • Olexandr Peresunko Department of Oncology and Radiology, Bukovyna State Medical University, 2 Teatralna St., Chernivtsi, 58002, Ukraine https://orcid.org/0000-0002-5877-1428
Keywords: spectral visualization, NSI maps, normalized spectral index, optical-morphological changes, cervix, asymmetry, kurtosis

Abstract

Background: Modern visual diagnostics of precancerous and malignant lesions of the cervix requires increasing objectivity and accuracy through the use of physically based optical-spectral methods. Formation of quantitative spectral characteristics of structural changes in biotissue opens up new opportunities for differential assessment of the stage of pathology and construction of morpho-spectral screening scales.

Objectives: To develop a method for spectral visualization and analysis of morpho-optical changes in cervical biotissue based on normalized spectral indices (NSI) using a compact optical module and to determine key quantitative indicators sensitive to the stages of the oncological process.

Materials and Methods: To register spectral reflectance, a diagnostic module with a monochrome CMOS camera and a ring LED lighting system (450, 550, 630, 820 nm), supplemented with polarization filters, was used. NSI-map processing was carried out by calculating NSI-indexes and statistical parameters for 62 cervical images of patients of the main groups of pathologies with subsequent morphological verification.

Results: The NSI_630/820 index was the most sensitive to changes in tissue density and vascularization, its average value increased from 1.303 in inflammation to 1.528 in the case of adenocarcinoma. The increase in asymmetry and kurtosis in the NSI_530/820 profiles in the case of the transition from CIN to carcinoma indicates the likely formation of areas with increased optical heterogeneity. A structured classification of intervals of values of the main morpho-optical characteristics was formed, reflecting their changes within the pathological process.

Conclusions: The method of spectral-normalized visualization based on NSI indices allowed to quantitatively reflect morphological changes in the biotissue of the cervix. Indicators of changes in the spectral structure of the reflected optical signal, which correlate with the type of pathology, were established, and the effectiveness of the proposed approach for optical-physical differentiation of the stages of malignancy was proven.

Downloads

Download data is not yet available.

References

Massad LS, Einstein MH, Huh WK, Katki HA, Kinney WK, Schiffman M, et al. 2012 Updated Consensus Guidelines for the Management of Abnormal Cervical Cancer Screening Tests. J Low Genit Tract Dis. 2013;17(5 Suppl 1):S1–S27. https://doi.org/10.1097/LGT.0b013e318287d329

Gage JC, Hanson VW, Abbey K, Dippery S, Gardner S, Kubota J, et al. Number of cervical biopsies and sensitivity of colposcopy. Obstet Gynecol. 2006;108(2):264–72. https://doi.org/10.1097/01.AOG.0000220505.18525.85

Rahaman A, Anantharaju A, Jeyachandran K, Manideep R, Pal UM. Optical imaging for early detection of cervical cancer: state of the art and perspectives. J Biomed Opt. 2023;28(8):080902. https://doi.org/10.1117/1.JBO.28.8.080902

Origoni M, Cantatore F, Sopracordevole F, Clemente N, Spinillo A, Gardella B, De Vincenzo R, et al. Colposcopy accuracy and diagnostic performance: A quality control and cuality assurance survey in italian tertiary-level teaching and academic institutions — The Italian Society of Colposcopy and Cervico-Vaginal Pathology (SICPCV). Diagnostics (Basel). 2023;13(11):1906. https://doi.org/10.3390/diagnostics13111906

Brown BH, Tidy JA. The diagnostic accuracy of colposcopy – A review of research methodology and impact on the outcomes of quality assurance. Eur J Obstet Gynecol Reprod Biol. 2019;240:182–6. https://doi.org/10.1016/j.ejogrb.2019.07.003

Ramanujam N, Mitchell MF, Mahadevan A, Warren S, Thomsen S, Silva E, Richards-Kortum R. In vivo diagnosis of cervical intraepithelial neoplasia using 337-nm-excited laser-induced fluorescence. Proc Natl Acad Sci USA. 1994;91(21):10193-7. https://doi.org/10.1073/pnas.91.21.10193

Benavides JM, Chang S, Park SY, Richards-Kortum R, Mackinnon N, MacAulay C, et al. Multispectral digital colposcopy for in vivo detection of cervical cancer. Opt Express. 2003;11(10):1223–36. https://doi.org/10.1364/OE.11.001223

Georgakoudi I, Sheets EE, Müller MG, Backman V, Crum CP, Badizadegan K, et al. Trimodal spectroscopy for the detection and characterization of cervical precancers in vivo. Am J Obstet Gynecol. 2002;186(3):374–82. https://doi.org/10.1067/mob.2002.121075

Park SY, Follen M, Milbourne A, Rhodes H, Malpica A, MacKinnon N, et al. Automated image analysis of digital colposcopy for the detection of cervical neoplasia. J Biomed Opt. 2008;13(1):014029. https://doi.org/10.1117/1.2830654

Wentzensen N, Walker JL, Gold MA, Smith KM, Zuna RE, Mathews C, et al. Multiple biopsies and detection of cervical cancer precursors at colposcopy. J Clin Oncol. 2015;33(1):83–9. https://doi.org/10.1200/JCO.2014.55.9948

Lu G, Fei B. Medical hyperspectral imaging: a review. J Biomed Opt. 2014;19(1):010901. https://doi.org/10.1117/1.JBO.19.1.010901

Arifler D, MacAulay CE, Follen M, Richards-Kortum RR. Spatially resolved reflectance spectroscopy for diagnosis of cervical precancer: Monte Carlo modeling and comparison to clinical measurements. J Biomed Opt. 2006;11(6):064027. https://doi.org/10.1117/1.2398932

Tuchin VV. Tissue optics: Light scattering methods and instruments for medical diagnosis. 2nd ed. Bellingham (WA): SPIE Press; 2007. 882 p. https://doi.org/10.1117/3.684093

Jacques SL. Optical properties of biological tissues: a review. Phys Med Biol. 2013;58(11):R37–R61. https://doi.org/10.1088/0031-9155/58/11/R37

Georgakoudi I, Quinn KP. Optical imaging using endogenous contrast to assess metabolic state. Annu Rev Biomed Eng. 2012;14:351–67. https://doi.org/10.1146/annurev-bioeng-071811-150108

Weingandt H, Stepp H, Baumgartner R, Diebold J, Xiang W, Hillemanns P. Autofluorescence spectroscopy for the diagnosis of cervical intraepithelial neoplasia. BJOG: Int J Obstet Gynaecol. 2002;109(8):947–51. https://doi.org/10.1111/j.1471-0528.2002.01311.x

Ramanujam N. Fluorescence spectroscopy of neoplastic and non-neoplastic tissues. Neoplasia. 2000;2(1–2):89-117. https://doi.org/10.1038/sj.neo.7900077

Yamal JM, Zewdie GA, Cox DD, Atkinson EN, Cantor SB, MacAulay CE, et al. Accuracy of optical spectroscopy for the detection of cervical intraepithelial neoplasia without colposcopic tissue information; a step toward automation for low resource settings. J Biomed Opt. 2012;17(4):047002. https://doi.org/10.1117/1.JBO.17.4.047002

Fujii T, Nakamura M, Kameyama K, Saito M, Nishio H, Ohno A, et al. Digital colposcopy for the diagnosis of cervical adenocarcinoma using a narrow band imaging system. Int J Gynecol Cancer. 2010;20(4):605–10. https://doi.org/10.1111/IGC.0b013e3181d98da9

Stolik S, Delgado JA, Pérez A, Anasagasti L. Measurement of the penetration depths of red and near infrared light in human “ex vivo” tissues. J Photochem Photobiol B, Biol. 2000;57(2-3):90–3. https://doi.org/10.1016/S1011-1344(00)00082-8

Shahzad A, Köhler G, Knapp M, Gaubitzer E, Puchinger M, Edetsberger M. Emerging applications of fluorescence spectroscopy in medical microbiology field. J Transl Med. 2009;7:99. https://doi.org/10.1186/1479-5876-7-99

Robinson D, Hoong K, Kleijn WB, Doronin A, Rehbinder J, Vizet J, et al. Polarimetric imaging for cervical pre-cancer screening aided by machine learning: ex vivo studies. J Biomed Opt. 2023;28(10):102904. https://doi.org/10.1117/1.JBO.28.10.102904

Nath A, Rivoire K, Chang SK, Cox DD, Atkinson EN, Follen M, et al. Effect of probe pressure on cervical fluorescence spectroscopy measurements. J Biomed Opt. 2004;9(3):523–33. https://doi.org/10.1117/1.1695562

Prabitha VG, Suchetha S, Jayanthi JL, Baiju KV, Rema P, Anuraj K, et al. Detection of cervical lesions by multivariate analysis of diffuse reflectance spectra: a clinical study. Lasers Med Sci. 2016;31(1):67–75. https://doi.org/10.1007/s10103-015-1829-z

Tucker CJ. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ. 1979;8(2):127–50. https://doi.org/10.1016/0034-4257(79)90013-0

Mourant JR, Fuselier T, Boyer J, Johnson TM, Bigio IJ. Predictions and measurements of scattering and absorption over broad wavelength ranges in tissue phantoms. Appl Opt. 1997;36(4):949–57. https://doi.org/10.1364/AO.36.000949

Pierangelo A, Manhas S, Benali A, Fallet C, Totobenazara JL, Antonelli MR, et al. Multispectral Mueller polarimetric imaging detecting residual cancer and cancer regression after neoadjuvant treatment for colorectal carcinomas. J Biomed Opt. 2013;18(4):046014. https://doi.org/10.1117/1.JBO.18.4.046014

Drezek R, Guillaud M, Collier TG, Boiko I, Malpica A, MacAulay C, et al. Light scattering from cervical cells throughout neoplastic progression: influence of nuclear morphology, DNA content, and chromatin texture. J Biomed Opt. 2003;8(1):7–16. https://doi.org/10.1117/1.1528950

Perelman LT. Optical diagnostic technology based on light scattering spectroscopy for early cancer detection. Expert Rev Med Devices. 2006;3(6):787-803. https://doi.org/10.1586/17434440.3.6.787

Yaroslavsky AN, Schulze PC, Yaroslavsky IV, Schober R, Ulrich F, Schwarzmaier HJ. Optical properties of selected native and coagulated human brain tissues in vitro in the visible and near infrared spectral range. Phys Med Biol. 2002;47(12):2059–73. https://doi.org/10.1088/0031-9155/47/12/305

Bashkatov AN, Genina EA, Kochubey VI, Tuchin VV. Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm. J Phys D: Appl Phys. 2005;38(15):2543–55. https://doi.org/10.1088/0022-3727/38/15/004

Published
2026-06-25
Cited
How to Cite
Roslyakov, O., Yermolenko, S., & Peresunko, O. (2026). Visualization and morphometrics of changes in cervical biotissues based on normalized spectral indices. Biophysical Bulletin, (55), 14-35. https://doi.org/10.26565/2075-3810-2026-55-02
Section
Methods of biophysical investigations