Occlusal caries detection and monitoring using a 3D intraoral scanner system. An in vivo assessment
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Occlusal caries detection and monitoring using a 3D intraoral scanner system. An in vivo assessment. / Michou, Stavroula; Tsakanikou, Angeliki; Bakhshandeh, Azam; Ekstrand, Kim R.; Rahiotis, Christos; Benetti, Ana R.
I: Journal of Dentistry, Bind 143, 104900, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Occlusal caries detection and monitoring using a 3D intraoral scanner system. An in vivo assessment
AU - Michou, Stavroula
AU - Tsakanikou, Angeliki
AU - Bakhshandeh, Azam
AU - Ekstrand, Kim R.
AU - Rahiotis, Christos
AU - Benetti, Ana R.
N1 - Publisher Copyright: © 2024 The Authors
PY - 2024
Y1 - 2024
N2 - Objective: To assess the agreement in detecting and monitoring occlusal caries over thirty months using conventional visual and radiographic assessment and an intraoral scanner system which supports automated caries scoring. Methods: Ninety-one young participants aged 12–19 years were included in the study. All occlusal surfaces were examined visually, radiographically (when indicated), and scanned with the TRIOS 4 intraoral scanner. TRIOS Patient Monitoring software (vers. 2.3, 3Shape TRIOS A/S, Denmark) was used for automated caries detection on the 3D digital models. Results: Fifty-five of the study participants were re-examined after 30-months. Significant differences regarding caries detection were found between the conventional methods and the automated caries scoring system (p < 0.01), with moderate positive percent agreement (49–61%) and high negative percent agreement (87–98%). All methods reported significant caries progression over the follow-up period (p < 0.01). However, the automated system showed significantly more caries progression than the other methods (p < 0.01). Conclusions: The software for automated caries detection and classification showed moderate positive agreement and strong negative agreement with the conventional methods considering both the baseline and the follow-up assessments. The automated caries scoring system detected significantly fewer caries lesions and tended to underestimate the caries severity. All methods indicated significant caries progression over the follow-up period, while the automated system detected more caries progression. Clinical significance: The TRIOS system supporting automated occlusal caries detection and classification can assist in detecting and monitoring occlusal caries on permanent teeth as a complementary tool to the conventional methods. However, the operator should be aware that the automated system shows a tendency to underestimate the caries presence and lesion severity.
AB - Objective: To assess the agreement in detecting and monitoring occlusal caries over thirty months using conventional visual and radiographic assessment and an intraoral scanner system which supports automated caries scoring. Methods: Ninety-one young participants aged 12–19 years were included in the study. All occlusal surfaces were examined visually, radiographically (when indicated), and scanned with the TRIOS 4 intraoral scanner. TRIOS Patient Monitoring software (vers. 2.3, 3Shape TRIOS A/S, Denmark) was used for automated caries detection on the 3D digital models. Results: Fifty-five of the study participants were re-examined after 30-months. Significant differences regarding caries detection were found between the conventional methods and the automated caries scoring system (p < 0.01), with moderate positive percent agreement (49–61%) and high negative percent agreement (87–98%). All methods reported significant caries progression over the follow-up period (p < 0.01). However, the automated system showed significantly more caries progression than the other methods (p < 0.01). Conclusions: The software for automated caries detection and classification showed moderate positive agreement and strong negative agreement with the conventional methods considering both the baseline and the follow-up assessments. The automated caries scoring system detected significantly fewer caries lesions and tended to underestimate the caries severity. All methods indicated significant caries progression over the follow-up period, while the automated system detected more caries progression. Clinical significance: The TRIOS system supporting automated occlusal caries detection and classification can assist in detecting and monitoring occlusal caries on permanent teeth as a complementary tool to the conventional methods. However, the operator should be aware that the automated system shows a tendency to underestimate the caries presence and lesion severity.
KW - Clinical study
KW - Dental caries
KW - Fluorescence
KW - Optical Imaging
KW - Three-dimensional imaging
U2 - 10.1016/j.jdent.2024.104900
DO - 10.1016/j.jdent.2024.104900
M3 - Journal article
C2 - 38412900
AN - SCOPUS:85187410531
VL - 143
JO - Journal of Dentistry
JF - Journal of Dentistry
SN - 0300-5712
M1 - 104900
ER -
ID: 389597006