The Accuracy of Infrared Thermographic Imaging for Assessment of Periodontal Status
The diagnosis and differentiation between periodontal diseases are currently based on the measuring and interpretation of full-mouth clinical and radiographic criteria. Thermography is a modern non-invasive imaging method in which the infrared radiation emitted by an object allows the mapping and analysis of the exact temperature distribution on the surface of the object. The produced thermal images correlate with variations in local blood supply and tissue metabolism. Thus, suggested to be a useful rapid and non-invasive tool for the diagnosis of periodontal diseases. However, the validity of this tool compared to standard tools should be evaluated.
- EligibilityCriteria: Inclusion Criteria:  The patients will be enrolled into the study based on the following inclusion criteria:  Patients with generalized gingivitis patient with generalized periodontitis . patient with healthy periodontium . Both genders above 18 y to 60 y .  Exclusion Criteria:  The patients will not be enrolled into this study based on the following exclusion criteria:  pregnant women . smokers .  Patients on medications that cause xerostomia as diuretics , antidepressants  ,bronchodilators ,antihistaminics , antiepileptic ( etc ..)  Patient using antibiotic, anti-inflammatory, and immunosuppressive therapy during the during the study . molars according to camera specifications handicapped patients para functional habits as mouth breathing and tongue thrusting - HealthyVolunteers: Accepts Healthy Volunteers - Gender: All - MinimumAge: 18 Years - MaximumAge: 60 Years - StdAgeList: Adult - StudyPopulation: A total of 45 of consecutive patients attending the periodontology outpatient clinic Patients will be selected according to the previously mentioned inclusion and exclusion criteria to be examined clinically and thermographically then they will be clustered into 3 clusters gingivitis , periodontitis and healthy patients based on the clinical diagnosis and each cluster will consist of 15 patients . - SamplingMethod: Probability Sample