1
-0,3 -0,2 -0,1 0,0 0,1 0,2 0,3 0,4 0,5 k956 k873 k1000 k1067 k1030 k1044 k1091 k852 k1446 k835 k1115 k811 k1742 k1634 k1200 k1702 k1599 k1375 k1180 k1298 k1242 k1556 k1264 k1281 k1418 LD -1 n a m a R e main spectral changes in tooth enamel that occur in case of periodontitis. e structural changes of enamel of the teeth with periodontitis that occur in water-mineral metabolism disorder in the tissues of teeth (intensive substitution of hydroxide ion OH by carbonate apatite ions in the structure) and in collagen synthesis disorder have been identified. Diagnosing the spectral changes in tooth enamel will allow identifying patients from the group of risk of having periodontitis. e developed algorithm sensitivity and specificity were 95.5% and 95.3%. Conclusions: Materials: Aim of the work: e aim of the study is developing noninvasive rapid assessment of periodontitis on the base of change of the enamel spectral characteristics. 42 teeth (molars and premolars) of patients diagnosed with periodontitis were used as the subjects of the study. e age group of patients of both genders was 35-70. All the studied categories of teeth were divided in two main groups: 1st group – control (teeth removed for orthodontical reasons – healthy teeth), 2nd group – the teeth diagnosed with periodontitis. 1 1 2 2 1 P.E. Timchenko , E.V. Timchenko , L.T. Volova , I. Bazhutova , O.O. Frolov 1 Samara National Research University 2 Samara State Medical University E-mail: [email protected] EXPRESS DIAGNOSTICS PERIODONTITIS BY CHANGING THE SPECTRAL CHARACTERISTICS OF TEETH ENAMEL RESULTS Figure 1 - Modeling the spectral the contour of the Raman spectra for enamel tissue Figure 4 – e values of factor structure coefficients of the enamel samples Figure 2 - e averaged Raman spectra, normalized to the average intensity of 2 studied groups of teeth: healthy enamel (Ia) and enamel with periodontitis (Iia) Method: e studies were carried out using the Raman spectroscopy method. e experimental stand included a semiconductor laser (LML- 785.0RB-04), an optical module for Raman spectroscopy (PBL 785), a spectrograph (Sharmrock SR-303i) with integrated digital camera (ANDOR DV-420A-OE) that was cooled to -60 ºC and a computer. Figure 5 – ROC-analysis of the algorithm for periodontitis assessment using the Raman spectroscopy method Figure 6 – e «balance point» between sensitivity and specificity Figure 3. Chart of the linear discriminant function values of the enamel samples. e red line is the enamel of teeth with periodontitis (damaged enamel), and the blue line is the enamel of healthy teeth.

Samara National Research University Samara State Medical

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Page 1: Samara National Research University Samara State Medical

-0,3 -0,2 -0,1 0,0 0,1 0,2 0,3 0,4 0,5

k956k873

k1000k1067k1030k1044k1091

k852k1446

k835k1115

k811k1742k1634k1200k1702k1599k1375k1180k1298k1242k1556k1264k1281k1418

LD-1

s e n i l n a m a R

�e main spectral changes in tooth enamel that occur in case of periodontitis. �e structural changes of enamel of the teeth with periodontitis that occur in water-mineral metabolism disorder in the tissues of teeth (intensive substitution of hydroxide ion OH by carbonate apatite ions in the structure) and in collagen synthesis disorder have been identified. Diagnosing the spectral changes in tooth enamel will allow identifying patients from the group of risk of having periodontitis. �e developed algorithm sensitivity and specificity were 95.5% and 95.3%.

Conclusions:

Materials:

Aim of the work:�e aim of the study is developing noninvasive rapid assessment of periodontitis on the base of change of the enamel spectral characteristics.

42 teeth (molars and premolars) of patients diagnosed with periodontitis were used as the subjects of the study. �e age group of patients of both genders was 35-70. All the studied categories of teeth were divided in two main groups: 1st group – control (teeth removed for orthodontical reasons – healthy teeth), 2nd group – the teeth diagnosed with periodontitis.

1 1 2 2 1P.E. Timchenko , E.V. Timchenko , L.T. Volova , I. Bazhutova , O.O. Frolov 1Samara National Research University

2Samara State Medical University

E-mail: [email protected]

EXPRESS DIAGNOSTICS PERIODONTITIS BY CHANGING THE SPECTRAL CHARACTERISTICS OF TEETH ENAMEL

RESULTS

Figure 1 - Modeling the spectral the contour of the Raman spectra for enamel tissue

Figure 4 – �e values of factor structure coefficients of the enamel samples

Figure 2 - �e averaged Raman spectra, normalized to the average intensity of 2 studied groups of teeth: healthy enamel (Ia) and enamel with periodontitis (Iia)

Method:�e studies were carried out using the Raman spectroscopy method.�e experimental stand included a semiconductor laser (LML-785.0RB-04), an optical module for Raman spectroscopy (PBL 785), a spectrograph (Sharmrock SR-303i) with integrated digital camera (ANDOR DV-420A-OE) that was cooled to -60 ºC and a computer.

Figure 5 – ROC-analysis of the algorithm for periodontitis assessment using the Raman spectroscopy method

Figure 6 – �e «balance point» between sensitivity and specificity

Figure 3. Chart of the linear discriminant function values of the enamel samples.

�e red line is the enamel of teeth with periodontitis (damaged enamel), and the blue line is the enamel of

healthy teeth.