OPTICAL BIOPSY AS POINT OF CARE FOR DIABETES DIAGNOSIS.

Autor: da SILVA, Sara Maria Santos Dias, RIZZATO, Jaqueline Maria Brandão, FERREIRA, Maria Clara de Moura Santos Coelho, FURUKAWA, Monique Vieira, ROVAI, Emanuel da Silva, NOGUEIRA, Marcelo Saito, de CARVALHO, Luis Felipe das Chagas e Silva
Zdroj: Oral Surgery, Oral Medicine, Oral Pathology & Oral Radiology; Jun2024, Vol. 137 Issue 6, pe282-e282, 1p
Abstrakt: INTRODUCTION: Diabetes is a multifactorial endocrine disease that can have several consequences if not diagnosed at an early stage. Currently, the gold standard diagnostic method is the fasting blood glucose and glycated hemoglobin test, both with a delay of approximately 7 days for diagnosis. FT-IR spectroscopy can be used to aid the diagnosis of patients with real-time results. This study aimed to obtain spectral signatures of saliva to compare diabetic and healthy patients. The study consisted of a sample n of 40, with 20 healthy patients (control group) and 20 patients with diabetes. For the analysis of this saliva, a Bruker ATR-FTIR spectrometer equipped with a diamond crystal was used. Data analysis was performed in a MATLAB routine, the spectral regions analyzed were the "fingerprint" between 600-1800 cm-1. After data pre-processing statistical methods statistical methods involving artificial intelligence and machine learning were used. The results showed that after the machine learning technique - Suppor Vector Machine was the one that best contributed to discrimination between samples with 86% specificity and 92% sensitivity. We conclude that the technique was effective for group discrimination, and can contribute to its solidification as a point-of-care diagnosis. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index
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