Exploring digital filters for internal root resorption : how can we improve the diagnosis of small lesions?

• Autor(a) principal: Silveira, Priscila Fernanda da
• Data de Publicação: 2022
• Outros Autores: Arús, Nádia Assein, Hilgert, Eduarda Adams, Silveira, Heloísa Emília Dias da, Fontana, Mathias Pante, Silveira, Heraldo Luis Dias da, Vizzotto, Mariana Boessio
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/264274
• topic: Reabsorção da raiz; Radiografia dentária; Intensificação de imagem radiográfica; Root resorption; Dental digital radiography; Radiographic image enhancement

Objectives: This study aimed to evaluate the impact of enhancement filters in detecting small simulated internal root resorptions (IRR). Methods: Forty-two extracted human teeth were sectioned, connected, and stored in a dry human jaw and X-rayed with photostimulable phosphor plates (PSPs), composing the control group (CG). In the middle-third of the root canals, IRR lesions were simulated using Da Silveira protocol. Later, the specimens were X-rayed to create the test group (TG). All images acquired were exported with seven enhancement filters plus the original image. Three examiners used a five-point Likert scale to evaluate the images regarding the presence/absence of IRR. Diagnostic efficacy was assessed from sensitivity and specificity results. Comparison among filters was performed by using receiver operating characteristic (ROC) curve analysis. Results: Moderate values of Kappa interexaminer (0.403–0.620) and high values of Kappa intraexaminer (0.757–0.915) were observed. The best performance occurred in the CG (p < 0.05). Original images presented the greatest sensitivity and area under the ROC curve (0.595–0.750), while the Endo filter presented the greatest specificity (0.952). Inversion and Pseudo-3D images produced the greatest doubt in the diagnosis, significant for CG with the Pseudo-3D filter (p < 0.05). Conclusions: The Original and ‘Endo’ filters should be chosen as it offers greater diagnostic ability and allows more confidence during the evaluation.