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Grayscale Color Mapping with the Mathematical Analysis of an Ultrasound Image in the Differential Diagnosis of Cystic and Solid Breast Masses

https://doi.org/10.20862/0042-4676-2020-101-3-136-146

Abstract

Objective. Atypical breast cysts are often quite a serious problem in noninvasive ultrasound differential diagnosis. To develop a system for automated analysis of grayscale ultrasound images, which on the principles of mathematical processing would make it possible to increase the specificity of diagnosis in this situation.

Material and methods. The authors developed the CystChecker 1.0 software package. To test this system, they used a set of 217 ultrasound images: 107 cystic (including 53 atypical lesions that were hardly differentially diagnosed by standard methods) and 110 solid (both benign and malignant) breast masses. All the masses were verified by cytology and/or histology. Visual assessment was carried out analyzing grayscale ultrasound, color/power Doppler, and elastography images.

Results. Using the system developed by the authors could correctly identify all (n = 107 (100%)) typical cysts, 107 (97.3%) of 110 solid masses, and 50 (94.3%) of 53 atypical cysts. On the contrary, the standard visual assessment provided a possibility of correctly identifying all (n = 107 (100%)) typical cysts, 96 (87.3%) of 110 solid masses, and 32 (60.4%) of 53 atypical cysts (p < 0.05). The corresponding values of the overall specificity of automated and visual assessments were 98 and 87%, respectively.

Conclusion. Using the system developed by the authors for automated analysis provides a higher specificity than the visual assessment of an ultrasound image, which is carried out by a qualified specialist.

About the Authors

D. V. Pasynkov
Oncology Dispensary of Mari El Republic, Ministry of Health of Mari El Republic; Mari State University
Russian Federation

Dmitriy V. Pasynkov, Сand. Med. Sc., Head of Radiology Department

ul. Osipenko, 22, Yoshkar-Ola, 424037
ploshchad’ Lenina, 1, Yoshkar-Ola, 424000 



I. A. Egoshin
Mari State University
Russian Federation

Ivan A. Egoshin, Postgraduate

ploshchad’ Lenina, 1, Yoshkar-Ola, 424000



A. A. Kolchev
Mari State University; Kazan (Volga region) Federal University
Russian Federation

Aleksey A. Kolchev, Cand. Phys.-Math. Sc., Associate Professor of Radioastronomy Chair

ploshchad’ Lenina, 1, Yoshkar-Ola, 424000
ul. Kremlevskaya, 18, Kazan, 420008 



I. V. Klyushkin
Kazan State Medical University, Ministry of Health of the Russian Federation
Russian Federation

Ivan V. Klyushkin, Dr. Med. Sc., Professor of General Surgery Chair

ul. Butlerova, 49, Kazan, 420012



O. O. Pasynkova
Mari State University
Russian Federation

Ol’ga O. Pasynkova, Cand. Med. Sc., Associate Professor of Fundamental Medicine Chair

ploshchad’ Lenina, 1, Yoshkar-Ola, 424000



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Review

For citations:


Pasynkov D.V., Egoshin I.A., Kolchev A.A., Klyushkin I.V., Pasynkova O.O. Grayscale Color Mapping with the Mathematical Analysis of an Ultrasound Image in the Differential Diagnosis of Cystic and Solid Breast Masses. Journal of radiology and nuclear medicine. 2020;101(3):136-146. (In Russ.) https://doi.org/10.20862/0042-4676-2020-101-3-136-146

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ISSN 0042-4676 (Print)
ISSN 2619-0478 (Online)