Morphological characteristics of non-carious cervical lesions. A systematic review

Autor(es)

Villamayor, Karen Gisselle Garay ; Codas-Duarte, Diana ; Ramirez, Iago ; Souza-Gabriel, Aline Evangelista ; Sousa-Neto, Manoel Damiao ; Candemil, Amanda Pelegrin

• Tipo de documento: Artigo Científico
• Fonte: ARCHIVES OF ORAL BIOLOGY; v. 167, p. 11-pg., 2024-07-25.

Resumo

Objectives: This systematic review assessed the morphological characteristics of non-carious cervical lesions (NCCL), among clinical and ex-vivo studies assessed by observational and imaging methods. Design: The search strategy was conducted on four online databases (MEDLINE, Embase, Scopus and Web of Science) and grey literature (Google Scholar and OpenGrey). The study selection was performed by three reviewers from March to September (2023). The eligibility criteria were established according to the PICO strategy and included NCCL, morphological characteristics and clinical and ex-vivo study designs. The data extraction considered general data that identifies the study, evaluation method, parameter to assess the outcome and the main results for each study. The risk of bias was evaluated using Joanna Briggs Institute critical appraisal tool, and a personalized tool. Results: The search resulted in 252 studies. A total of 14 studies were included. Prevalence of NCCLs ranged from 3.5 %to 77.78 % with a higher presence in premolars. Common characteristics were wear facets, occluded tubules or cracks, occlusal stress, scratch marks, dimples and craters, structure loss, and dentin sclerosis, which appear more often on buccal surface and were generally classified as wedge-shaped, saucer-shaped. Etiological hypothesis was mainly related to multifactorial factors. In most of the studies, the risk of bias was classified as high. Conclusions: The morphological characteristics of NCCL showed a wide range of descriptions regarding appearance, prevalence, lesion-related measures, and macro and microscopic descriptions. (AU)

• Processo FAPESP: 21/01623-8 - Efeito da redução de artefatos gerados por materiais de alta densidade em imagens de tomografia computadorizada de feixe cônico por inteligência artificial no diagnóstico de fratura radicular vertical e perfuração radicular
• Beneficiário: Amanda Candemil Kanashiro
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado