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Advance Thermography diagnostics: automatic algorithm to find out acute sinusitis

https://doi.org/10.33667/2078-5631-2023-15-49-58

Abstract

Development of medical imaging techniques (including medical thermography) provided an opportunity to mine data that can be explored for the development of clinical decision support systems.

Aim. Find out quantitative thermography criteria for acute rhinosinusitis and implement these criteria into automated analysis protocols to create a diagnostic complex suitable for use by professionals of any medical speciality.

Material, methods. After necessary adaptation, facial thermography by mean of thermography camera ТВС300-меd LLC “СТК СИЛАР” Russia, (384x288 pixel, 30 mK) was performed in 100 healthy volunteers and 305 patients with suspected acute rhinosinusitis (in 173 of them diagnosis was supported). Resulted thermograms were processed in “cloud service” TVision (LLC “Dignosys”, Russia). Point and regions of interest (ROI), namely, point in the middle of the line, connected inner edge of eyebrows (Тср) and ROI, covered the projections of maxillary sinuses were marked automatically. Difference between temperature in Тср point and mean temperature in each ROI (ΔТr/ΔТl), as well as mean temperature between ROI were calculated (ΔTпаз).

Result. The best results ( sensitivity 82%, specificity 74%, accuracy 78%) were received when complex of ΔТr/ΔТl ≤0 and module |ΔTпаз| ≥0,5°C (both or at least one criterion) was applied. Based on these data, automatic algorithm of thermography acute rhinosinusitis diagnostics was created to use in primary medical care routine as clinical decision support systems.

About the Authors

I. M. Dolgov
LLC 'Dignosys' Russia
Russian Federation

Igor Maratovich Dolgov, MD, PhD, deputy director

 



Yu. V. Karamyshev
Military Medical Academy of the Ministry of Defense of the Russian Federation named after S. M. Kirov
Russian Federation

Yuri Vladimirovish Karamyshev, Associate Professor Department of Rentgenology and Radiology with a Course in Ultrasound Diagnostics

 



I. S. Zheleznyak
Military Medical Academy of the Ministry of Defense of the Russian Federation named after S. M. Kirov
Russian Federation

Igor Sergeevich Zheleznyak, M.D., PhD, Professor, Head of the Department of Rentgenology and Radiology with a Course in Ultrasound Diagnostics

 



A. A. Karamysheva
St. Petersburg State Budgetary Healthcare Institution “Women’s Consultation clinic No. 44” of the Pushkin district of St. Petersburg
Russian Federation

Angelina Aleksandrovna Karamysheva, Deputy Chief Physician for medical part

 



A. I. Makhnovsky
State Budgetary Institution “I. I. Dzhanelidze Saint Petersburg Research Institute of Emergency Medicine” Russia; North-W estern State Medical University named after I. Mechnikov Ministry of Health of the Russian Federation
Russian Federation

Andrey Ivanovich Makhnovsky, M.D. Deputy Chief Physician of the for the organization of emergency medical care, Assistant, Department of Emergency Medical Care



D. N. Khriupkovskiy
LLC 'Dignosys' Russia
Russian Federation

Dmitrii Nikolaevich Khriupkovskiy, Technical director

 



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For citations:


Dolgov I.M., Karamyshev Yu.V., Zheleznyak I.S., Karamysheva A.A., Makhnovsky A.I., Khriupkovskiy D.N. Advance Thermography diagnostics: automatic algorithm to find out acute sinusitis. Medical alphabet. 2023;1(15):49-58. (In Russ.) https://doi.org/10.33667/2078-5631-2023-15-49-58

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ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)