Identification of structural markers of chronic rhinosinusitis in images of biological fluids solid phase

Shabalin V.V.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0002-8168-2343

Zakharova G.P.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0003-4779-4058

Krivopalov A.A.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0002-6047-4924

Ivanov N.I.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0003-0937-5370

Donskaya O.S.

First St. Petersburg State Medical University named after I.I. acad. I.P. Pavlova

ORCID: 0000-0002-5379-4794

Identification of structural markers of chronic rhinosinusitis in images of biological fluids solid phase

Authors:

Shabalin V.V., Zakharova G.P., Krivopalov A.A., Ivanov N.I., Donskaya O.S.

More about the authors

Journal: Russian Rhinology. 2023;31(4): 245‑251

DOI: 10.17116/rosrino202331041245

Downloaded: 3

Download PDF (RU)

Contact the author

Table of contents

To cite this article:

Shabalin VV, Zakharova GP, Krivopalov AA, Ivanov NI, Donskaya OS. Identification of structural markers of chronic rhinosinusitis in images of biological fluids solid phase. Russian Rhinology. 2023;31(4):245‑251. (In Russ.)
https://doi.org/10.17116/rosrino202331041245

Close metadata

Currently, new technologies for statistical computer-assisted identification of raster images are widely used in medicine to improve the recognition of pathological processes. The solid phase of biological fluids’ drops is studied according to developed algorithms for evaluation and classification of textural characteristics of the sediment structure, which is formed during evaporation (dehydration on a glass substrate). The use of new technology of computer-assisted statistical analysis for biological fluids in solid sediment phase allows to diagnose pathological process in an automated mode basing on created database of structural markers’ parameters.

OBJECTIVE

To reveal structural markers of norm and pathology in the texture of biological fluids for computer-assisted diagnosis of inflammatory process in the nose and paranasal sinuses.

PATIENTS AND METHODS

A morphological study of raster images of the textures of the nasal mucosa secretion was carried out in 200 patients with chronic rhinosinusitis, including 100 patients with chronic purulent rhinosinusitis and 100 ones with rhinosinusitis with nasal polyps. Biophysical, statistical methods, as well as video microscopy and computer-assisted image analysis methods, biofluid structurization during evaporation by the wedge-shaped dehydration method were used.

RESULTS AND CONCLUSION

The markers of structural disturbance in biological fluids solid phase (SPBF) of nasal cavity secretion in chronic rhinosinusitis were found. A system of computer algorithms based on Mathematica 13 (Wolfram Research) software has been developed, that has revealed the main textural features of structural markers of SPBF in studied pathologies of the nose and paranasal sinuses (entropy, fractal dimension, degree of uniformity). The statistical processing based on the application of computer algorithms, that is presented in the work, serves as the basis for the automated analysis of SPBF.

Keywords:

chronic rhinosinusitis

solid phase of nasal mucosa secretion

structural markers

statistical analysis

Authors:

Shabalin V.V.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0002-8168-2343

Zakharova G.P.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0003-4779-4058

Krivopalov A.A.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0002-6047-4924

Ivanov N.I.

St. Petersburg Research Institute of Ear, Throat, Nose and Speech

ORCID: 0000-0003-0937-5370

Donskaya O.S.

First St. Petersburg State Medical University named after I.I. acad. I.P. Pavlova

ORCID: 0000-0002-5379-4794

Received:

04.03.2023

Accepted:

10.08.2023

List of references:

Alekseenko SI. Interrelation between sinonasal mucociliary dysfunction and mucosa pathology in children with different forms of rhinosinusitis. Folia Otorhinolaryngologiae et Pathologiae Respiratoriae. 2021;27(2):4-12. (In Russ.). https://doi.org/10.33848/foliorl23103825-2021-27-2-4-12
Dvoryanchikov VV, Kuts BV, Ushakov VS, Priporova YuN, Lisovskaya TL, Morozov AD. Application of modern technologies in diagnostics, choice of volume of surgical treatment and postoperative monitoring in patients with precancerous and malignant neoplasms of larynx. Rossiiskaya otorinolaringologiya. 2022;21(3):47-52. (In Russ.). https://doi.org/10.18692/1810-4800-2022-3-47-52
Bulkina NV, Brill’ GE, Postnov DE, Podelinskaya VT. Quantitative characteristics of the crystallographic picture of the oral fluid in normal conditions and in inflammatory periodontal diseases. Vestnik novykh medicinskikh tekhnologiy. 2013;1:1-7. (In Russ.).
Simonova ZhG. Features of the structuring of biological fluids in patients with combined pathology of the cardiovascular system and the gastrointestinal tract. Sovremennye tekhnologii v meditsine. 2014;6(3):64-71. (In Russ.).
Hozman J. Biomedical Image Processing Applications. Biomedical Engineering & Biotechnology. Publishing House of the Czech Technical University. 1994.
Aristov A, Evtushenko G, Rafal’skij A. System for the study of drop samples of bioliquids. Fotonika. 2009;6:32-35. (In Russ.).
Markevich VE. Methods of wedge-shaped dehydration of biological fluids. Morphologya. 2014;8(1):113-117. (In Russ.).
Shabalin VN, Shatokhina SN. Morphology of human biological fluids. M.: Chrysoprase; 2001.
Maksimov SA. Morphology of the solid phase of biological fluids as a diagnostic method in medicine. Byulleten’ sibirskoy meditsny. 2007;4:18-21. (In Russ.).
Buzoverya M.E. Quantitative assessment of microstructural heterogeneity of biofluid facies. JTF. 2014;84(10):133-138. (In Russ.).
Shatohina SN, Kokoreva SN, Sambulov VI, Shabalin VN, Zenger VG. Prognostic value of textures of wound discharge during surgical otorhinolaryngological interventions. Rossijskaya rinologiya. 2002;1:97-98. (In Russ.).
Shatohina SN, Chugunova OL, Golubeva NG, Shabalin VN. A new method for diagnosing candidiasis of the urinary system in children of the neonatal period. Pediatriya. 2001;3:65-68. (In Russ.).
Shatohina SN. A new method for diagnosing hypoxic-ischemic kidney damage in newborns. Voprosy sovremennoj pediatrii. 2002;1(3):18-21. (In Russ.).
Martusevich AK. Biocrystallomics in Russia: a brief outline of the stages of formation. Vyatskij meditsinskij vestnik. 2011;3(4):54-60. (In Russ.).
Kamakin NF. Tesiocrystalline study of biological substrates: guidelines. Kirov: Izdatel’stvo KGMA; 2005. (In Russ.).
Rodionova NV. Texture RGB ‒ segmentation of single-channel TerraSAR-X images. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2014;11(1):301-307. (In Russ.).

Close metadata