Effect of the reduction of artefacts arising from high-density materials on cone-beam CT by artificial intelligence on the diagnosis of vertical root fracture and root perforation

• Grant number: 21/01623-8
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: March 01, 2022
• End date: February 28, 2025
• Field of knowledge: Health Sciences - Dentistry - Endodontics
• Principal Investigator: Manoel Damiao de Sousa Neto
• Grantee: Amanda Candemil Kanashiro
• Host Institution: Faculdade de Odontologia de Ribeirão Preto (FORP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated scholarship(s): 22/07081-5 - Effect of the reduction of artefacts arising from high-density materials on cone-beam ct by artificial intelligence on the diagnosis of vertical root fracture and root perforation, BE.EP.PD

Abstract

Cone-Beam Computed Tomography (CBCT) is an imaging exam used in endodontics to diagnose diseases and evaluate internal root anatomy, however, one of its limitations is the presence of artefacts that hamper the diagnostic efficacy. Although the literature presents different techniques to reduce artefacts, till this moment, there are no effective methods that contribute to its reduction. Deep convolutional neural network has shown promising approaches to reduce the presence of artefacts arising from high-density materials, however, besides the scientific literature only presents preliminary data, with neural networks with low training by few CBCT images, there is no information about its impact on diagnostic accuracy of clinical tasks such as root fracture and perforation. Therefore, this study aims to create a deep convolutional neural network to reduce artefacts arising from high-density materials and low X-ray dose, based in CBCT scans, evaluate the impact in the diagnostic accuracy of different clinical tasks and analyze and compare its efficacy with others artefact reduction methods. An imaging phantom will be custom made with a partially edentulous macerated human mandible. One hundred extracted human teeth will be endodontically instrumented and then divided in two steps: in the step 1, 40 instrumented and filled teeth will be used to simulate artefacts from high-density materials (scattering, beam hardening, starvation and blooming) to the training of the deep convolutional neural network. And, then, after the development of the deep convolutional neural network, in the step 2, the remain 60 teeth will be divided in three groups (n=20) in accordance with the proposed endodontic complication: vertical root fracture, root perforation and control. Each teeth group will be positioned individually in an empty socket of the human mandible and CBCT scans will be obtained with a field of view of 5 × 5 cm at two resolution protocols (high and low), with/without metal artefact reduction algorithm. Additional scans will be obtained from the teeth of interest in the empty sockets of the mandible to simulate different clinical conditions high-density materials (filling material, implant and intracanal post). Ad-hoc deep convolutional neural network will be developed based on the literature of the U-net network. It will be tailored to the properly prepared CBCT images of the imaging phantom that will be used for network validation and training. The CBCT images will be corrected by the trained deep convolutional neural network and will be analyzed subjectively by four observers to indicate the presence of vertical root fracture and root perforation with a 5-point scale. And, additionally, the images will be analyzed objectively by one observer, that will obtain measurements of the signal-to-noise ratio and gray value homogeneity of a homogeneous area. All the images will be evaluated in the CBCT software's OsiriX MD v.7.5.1 and e-Vol DX and will be posteriorly compared.

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VILLAMAYOR, KAREN GISSELLE GARAY; CODAS-DUARTE, DIANA; RAMIREZ, IAGO; SOUZA-GABRIEL, ALINE EVANGELISTA; SOUSA-NETO, MANOEL DAMIAO; CANDEMIL, AMANDA PELEGRIN. Morphological characteristics of non-carious cervical lesions. A systematic review. ARCHIVES OF ORAL BIOLOGY, v. 167, p. 11-pg., 2024-07-25. (21/01623-8)

CANDEMIL, AMANDA PELEGRIN; DOS SANTOS, GUILHERME NILSON ALVES; OLIVEIRA, MATHEUS L.; GATTI, FILIPPO; SILVA-SOUSA, YARA T. C.; SILVA-SOUSA, ALICE C.; MAZZI-CHAVES, JARDEL FRANCISCO; SOUSA-NETO, MANOEL DAMIAO. Accuracy of Magnetic Resonance Imaging in Clinical Endodontic Applications: A Systematic Review. JOURNAL OF ENDODONTICS, v. 50, n. 4, p. 16-pg., 2024-03-26. (22/07081-5, 21/01623-8)

DOS SANTOS, GUILHERME NILSON ALVES; SOUSA-NETO, MANOEL DAMIAO; ASSIS, HELENA CRISTINA; LOPES-OLHE, FABIANE CARNEIRO; FARIA-E-SILVA, ANDRE L.; OLIVEIRA, MATHEUS L.; MAZZI-CHAVES, JARDEL FRANCISCO; CANDEMIL, AMANDA PELEGRIN. Prevalence and morphological analysis of dens invaginatus in anterior teeth using cone beam computed tomography: A systematic review and meta-analysis. ARCHIVES OF ORAL BIOLOGY, v. 151, p. 9-pg., 2023-05-03. (21/01623-8)

DE LIMA, JOAO PEDRO; MAZZI-CHAVES, JARDEL FRANCISCO; DE SOUSA-NETO, MANOEL DAMIAO; CANDEMIL, AMANDA PELEGRIN. Could Low-dose Cone-beam CT be Used for Endodontic Intraoperative Diagnosis?. JOURNAL OF ENDODONTICS, v. 49, n. 9, p. 8-pg., 2023-09-12. (21/01623-8, 22/07081-5, 22/02664-2)

CANDEMIL, AMANDA PELEGRIN; MAZZI-CHAVES, JARDEL FRANCISCO; OLIVEIRA, MATHEUS LIMA; AMBROSANO, GUILHERME BOVI; VASCONCELOS, KARLA FARIAS; PAUWELS, RUBEN; JACOBS, REINHILDE; SOUSA-NETO, MANOEL DAMIAO. Assessment of the root filling volume in C-shaped root canal on cone-beam CT and micro-CT in relation to nano-CT. CLINICAL ORAL INVESTIGATIONS, v. 27, n. 11, p. 8-pg., 2023-09-14. (21/01623-8)

RAMIREZ, IAGO; BERTOLINI, GUNTHER R.; CANDEMIL, AMANDA P.; SOUSA-NETO, MANOEL D.; SOUZA-GABRIEL, ALINE E.. Chemical and morphological analysis of dentin irradiated by different high-power lasers: a systematic review. Lasers in Medical Science, v. 38, n. 1, p. 18-pg., 2023-11-06. (21/01623-8)

MOLINA, MIGUEL ANGEL VENTURA; SILVA, GIOVANE OLIVEIRA; CANDEMIL, AMANDA PELEGRIN; DE CAMARGO, RAFAEL VERARDINO; PAUWELS, RUBEN; JACOBS, REINHILDE; SOUSA-NETO, MANOEL DAMIAO; MAZZI-CHAVES, JARDEL FRANCISCO. Evaluation of 2-and 3-dimensional anatomic parameters of C-shaped root canals with cone beam computed tomography, microcomputed tomography, and nanocomputed tomography. ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, v. 136, n. 6, p. 10-pg., 2023-12-04. (21/01623-8, 20/09242-0)

ALVES, LUISA VALENTE GOTARDO LARA; PIRES, CASSIANO RICARDO FERREIRA; SOUSA-NETO, MANOEL DAMIAO; PRADO, HEITOR SILVA; MAZZI-CHAVES, JARDEL FRANCISCO; CANDEMIL, AMANDA PELEGRIN. Metal artifact reduction tool and mA levels impact on the diagnosis of fracture extension in endodontically treated teeth using cone-beam CT. CLINICAL ORAL INVESTIGATIONS, v. 28, n. 10, p. 10-pg., 2024-09-19. (21/01623-8)