Banca de DEFESA: VIRGINIA KELMA DOS SANTOS SILVA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : VIRGINIA KELMA DOS SANTOS SILVA
DATE: 17/03/2020
TIME: 15:00
LOCAL: Departamento de Odontologia da UFRN
TITLE:

ACCURACY OF COMPUTER-ASSISTED IMAGE ANALYSIS IN THE DIAGNOSIS OF MAXILLOFACIAL RADIOLUCENT LESIONS: A SYSTEMATIC REVIEW AND META-ANALYSIS

KEY WORDS:

Computer-assisted diagnosis; Computer-assisted image analysis; Computer-assisted image processing; Periapical cyst; Maxillofacial pathology.

PAGES: 70
BIG AREA: Ciências da Saúde
AREA: Odontologia
SUMMARY:

Objectives: This study aimed to search for scientific evidence concerning the accuracy of computer-assisted analysis for diagnosing maxillofacial radiolucent lesions. Methods: A systematic review was conducted according to the statements of PRISMAP and considering ten databases, including the grey literature. Protocol was registered in PROSPERO (CRD [Blinding]). The PICO strategy was used to define the eligibility criteria and only diagnostic test studies were included. Their risk of bias was assessed by the Joanna Briggs Institute Critical Appraisal tool. Random-effects model metaanalysis was performed and heterogeneity among the included studies was estimated using the I2 statistic. The GRADE tool assessed the quality of evidence and strength of recommendation across included studies. Results: Out of 715 identified citations, four papers, published between 2009 and 2017, fulfilled the criteria and were included in this systematic review. A total of 191 lesions, classified as periapical granuloma and cyst, dentigerous cyst, or keratocystic odontogenic tumor, were analyzed. All selected articles scored low risk of bias. The pooled accuracy estimation, regardless of the classification method used, was 88.75%

(95% CI = 85.19-92.30). Heterogeneity test reached moderate values (I2 = 57.89%).

According to the GRADE tool, the analyzed outcome was classified as having low level of certainty. Conclusions: The overall evaluation showed all studies presented high accuracy rates of computer-aided diagnosis systems in classifying radiolucent maxillofacial lesions compared to histopathological biopsy. However, due to the moderate heterogeneity found among the studies included in this meta-analysis, a pragmatic recommendation about the use of computer-assisted analysis is not possible.

BANKING MEMBERS:
Externa à Instituição - EMELINE DAS NEVES DE ARAUJO LIMA - UFS
Presidente - 350485 - HEBEL CAVALCANTI GALVAO
Externo à Instituição - MANUEL ANTONIO GORDON NUNEZ - UEPB
Externa ao Programa - 2644142 - PATRICIA TEIXEIRA DE OLIVEIRA
Externa ao Programa - 350484 - ROSEANA DE ALMEIDA FREITAS