Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study

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Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study. / Ntovas, P.; Michou, S.; Benetti, A. R.; Bakhshandeh, A.; Ekstrand, K.; Rahiotis, C.; Kakaboura, A.

I: Journal of Dentistry, Bind 131, 104457, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ntovas, P, Michou, S, Benetti, AR, Bakhshandeh, A, Ekstrand, K, Rahiotis, C & Kakaboura, A 2023, 'Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study', Journal of Dentistry, bind 131, 104457. https://doi.org/10.1016/j.jdent.2023.104457

APA

Ntovas, P., Michou, S., Benetti, A. R., Bakhshandeh, A., Ekstrand, K., Rahiotis, C., & Kakaboura, A. (2023). Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study. Journal of Dentistry, 131, [104457]. https://doi.org/10.1016/j.jdent.2023.104457

Vancouver

Ntovas P, Michou S, Benetti AR, Bakhshandeh A, Ekstrand K, Rahiotis C o.a. Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study. Journal of Dentistry. 2023;131. 104457. https://doi.org/10.1016/j.jdent.2023.104457

Author

Ntovas, P. ; Michou, S. ; Benetti, A. R. ; Bakhshandeh, A. ; Ekstrand, K. ; Rahiotis, C. ; Kakaboura, A. / Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study. I: Journal of Dentistry. 2023 ; Bind 131.

Bibtex

@article{348584a2762b470aae2b311f1015ec47,
title = "Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study",
abstract = "OBJECTIVES: To evaluate the diagnostic performance of visual caries assessment on 3D dental models obtained using an intraoral scanner and to compare it with the performance of the clinical visual inspection.METHODS: Fifty-three permanent posterior teeth scheduled for extraction were randomly selected and included in this study. One to three independent examination sites on the occlusal surface of each tooth were clinically inspected using International Caries Detection and Assessment System (ICDAS) criteria. Afterwards, the examined teeth were scanned intraorally with a 3D intraoral scanner (TRIOS 4, 3Shape TRIOS A/S, Copenhagen, Denmark) using white and blue-violet light (415 nm wavelength) to capture the colour and fluorescence signal from the tissues. Six months after the clinical examination, the same examiner conducted the on-screen assessment of the obtained 3D digital dental models at the selected examination sites using modified ICDAS criteria. Both tooth colour and fluorescence texture with high resolution were assessed. Lastly, an independent examiner conducted the histological examination of all teeth after extraction. Using histology as the reference test, Sensitivity (SE), Specificity (SP), Accuracy (ACC), area under the Receiver Operating Characteristic (ROC) curve, and Spearman's correlation coefficient were calculated for the clinical and on-screen ICDAS assessments.RESULTS: The ACC values of the evaluated methods varied between 0.59-0.79 for initial caries lesions and 0.77-0.99 for moderate-extensive caries lesions. Apart from SE values corresponding to caries in the inner half of enamel, no significant difference was observed between clinical visual inspection and on-screen assessment. In addition, no difference was found in the assessment of 3D models with tooth colour alone or supplemented with fluorescence for all the evaluated diagnostic measures.CONCLUSIONS: On-screen visual assessment of 3D digital dental models with tooth colour or fluorescence showed a similar diagnostic performance to the clinical visual inspection when detecting and assessing occlusal caries lesions on permanent teeth.CLINICAL SIGNIFICANCE: 3D intraoral scanning can aid the detection and classification of occlusal caries as part of patient screening and can potentially be used in remote caries assessment for clinical and research purposes.",
author = "P. Ntovas and S. Michou and Benetti, {A. R.} and A. Bakhshandeh and K. Ekstrand and C. Rahiotis and A. Kakaboura",
note = "Copyright {\textcopyright} 2023. Published by Elsevier Ltd.",
year = "2023",
doi = "10.1016/j.jdent.2023.104457",
language = "English",
volume = "131",
journal = "Journal of Dentistry",
issn = "0300-5712",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Occlusal caries detection on 3D models obtained with an intraoral scanner. A validation study

AU - Ntovas, P.

AU - Michou, S.

AU - Benetti, A. R.

AU - Bakhshandeh, A.

AU - Ekstrand, K.

AU - Rahiotis, C.

AU - Kakaboura, A.

N1 - Copyright © 2023. Published by Elsevier Ltd.

PY - 2023

Y1 - 2023

N2 - OBJECTIVES: To evaluate the diagnostic performance of visual caries assessment on 3D dental models obtained using an intraoral scanner and to compare it with the performance of the clinical visual inspection.METHODS: Fifty-three permanent posterior teeth scheduled for extraction were randomly selected and included in this study. One to three independent examination sites on the occlusal surface of each tooth were clinically inspected using International Caries Detection and Assessment System (ICDAS) criteria. Afterwards, the examined teeth were scanned intraorally with a 3D intraoral scanner (TRIOS 4, 3Shape TRIOS A/S, Copenhagen, Denmark) using white and blue-violet light (415 nm wavelength) to capture the colour and fluorescence signal from the tissues. Six months after the clinical examination, the same examiner conducted the on-screen assessment of the obtained 3D digital dental models at the selected examination sites using modified ICDAS criteria. Both tooth colour and fluorescence texture with high resolution were assessed. Lastly, an independent examiner conducted the histological examination of all teeth after extraction. Using histology as the reference test, Sensitivity (SE), Specificity (SP), Accuracy (ACC), area under the Receiver Operating Characteristic (ROC) curve, and Spearman's correlation coefficient were calculated for the clinical and on-screen ICDAS assessments.RESULTS: The ACC values of the evaluated methods varied between 0.59-0.79 for initial caries lesions and 0.77-0.99 for moderate-extensive caries lesions. Apart from SE values corresponding to caries in the inner half of enamel, no significant difference was observed between clinical visual inspection and on-screen assessment. In addition, no difference was found in the assessment of 3D models with tooth colour alone or supplemented with fluorescence for all the evaluated diagnostic measures.CONCLUSIONS: On-screen visual assessment of 3D digital dental models with tooth colour or fluorescence showed a similar diagnostic performance to the clinical visual inspection when detecting and assessing occlusal caries lesions on permanent teeth.CLINICAL SIGNIFICANCE: 3D intraoral scanning can aid the detection and classification of occlusal caries as part of patient screening and can potentially be used in remote caries assessment for clinical and research purposes.

AB - OBJECTIVES: To evaluate the diagnostic performance of visual caries assessment on 3D dental models obtained using an intraoral scanner and to compare it with the performance of the clinical visual inspection.METHODS: Fifty-three permanent posterior teeth scheduled for extraction were randomly selected and included in this study. One to three independent examination sites on the occlusal surface of each tooth were clinically inspected using International Caries Detection and Assessment System (ICDAS) criteria. Afterwards, the examined teeth were scanned intraorally with a 3D intraoral scanner (TRIOS 4, 3Shape TRIOS A/S, Copenhagen, Denmark) using white and blue-violet light (415 nm wavelength) to capture the colour and fluorescence signal from the tissues. Six months after the clinical examination, the same examiner conducted the on-screen assessment of the obtained 3D digital dental models at the selected examination sites using modified ICDAS criteria. Both tooth colour and fluorescence texture with high resolution were assessed. Lastly, an independent examiner conducted the histological examination of all teeth after extraction. Using histology as the reference test, Sensitivity (SE), Specificity (SP), Accuracy (ACC), area under the Receiver Operating Characteristic (ROC) curve, and Spearman's correlation coefficient were calculated for the clinical and on-screen ICDAS assessments.RESULTS: The ACC values of the evaluated methods varied between 0.59-0.79 for initial caries lesions and 0.77-0.99 for moderate-extensive caries lesions. Apart from SE values corresponding to caries in the inner half of enamel, no significant difference was observed between clinical visual inspection and on-screen assessment. In addition, no difference was found in the assessment of 3D models with tooth colour alone or supplemented with fluorescence for all the evaluated diagnostic measures.CONCLUSIONS: On-screen visual assessment of 3D digital dental models with tooth colour or fluorescence showed a similar diagnostic performance to the clinical visual inspection when detecting and assessing occlusal caries lesions on permanent teeth.CLINICAL SIGNIFICANCE: 3D intraoral scanning can aid the detection and classification of occlusal caries as part of patient screening and can potentially be used in remote caries assessment for clinical and research purposes.

U2 - 10.1016/j.jdent.2023.104457

DO - 10.1016/j.jdent.2023.104457

M3 - Journal article

C2 - 36858167

VL - 131

JO - Journal of Dentistry

JF - Journal of Dentistry

SN - 0300-5712

M1 - 104457

ER -

ID: 337999483