Digital analysis and quantitative assessment of the cervical surface with dysplasia.

The investigation aims - a quantitative assessment of cervical surface changes with digital analysis and computer technologies in dysplasia. Colposcopy was made in 90 women from 21 to 52 years (avr. age 33,9±8,13 y.o.) with mild epithelial dysplasia (CIN1), moderate dysplasia (CIN2), severe dysplasia (CIN3). The algorithm detected indicators which provide the cervical dysplasia classification on pre cytological and pre molecular-genetic patients investigations. The outcome of an algorithm was the identification of the cervix surface condition severity by an objective quantification. The cervical dysplasia type (CIN) was classified as IndGV values. The mild dysplasia (CIN1) had IndGV=8,5, moderate dysplasia (CIN2) - IndGV=13, severe dysplasia (CIN3) - IndGV=15,6. The cervical affected surface area (IndInt) equalled 0,17 in CIN1, 0,19 in CIN2, 0,22 in CIN3. A change severity has a direct relation with a grey color value. It demonstrates quantify classification in digital analysis. The algorithm is used in real-time mode and no requires considerable material outlays. This makes it possible to use an algorithm after clinical examination and predict patient management.

[COMPOSITION OF POPULATION OF DIPHTHERIA CAUSATIVE AGENT STRAINS IN RUSSIA].

AIM: Characteristics of clonal composition of Corynebacterium diphtheriae strain population in Russia using MLST, as well as evaluation of a possibility of using of this method during execu- tion of monitoring of diphtheria infection causative agent strains. MATERIALS AND METHODS: C. diph- theriae strains, isolated in Russia in 1957 - 2015 and sent to Gabrichevsky MRIEM reference centre for diphtheria and pertussis, were studied. Gentyping of C. diphtheriae using MLST was carried out based on sequencing of <> gene fragments. ST identification was carried out according to PubMLST Result. C. diphtheriae strains of 36 sequence-types (ST) were identi- fied on the territory of Russia - 27 previously known and 9 novel, detected for the first time. 2 sequence types ST25 and ST8 (22% and 18%) dominated. Inter-relation between phenotype. properties (toxigenicity. and biovar) and membership of C. diphtheriae strains in certain sequence- types was shown - toxigenic and non-toxigenic C. diphtheriae strains of various biovars were characterized by certain sequence-types. Changes of clonal composition of C. diphtheriae popula- tion in dynamics of epidemic process of diphtheria infection were.shown. CONCLUSION: Use of MLST allowed to characterized clonal composition of C. diphtheriae strains' population in Russia and has shown perspectives of use of this method to characterize population of diphtheria causative agent, detect epidemically significant strains and decipher foci of diphtheria infection.