Clinical Analysis of the Diagnostic Accuracy and Time of Execution of a Transillumination Caries Detection Method Compared to Bitewing Radiographs

被引:1
|
作者
Pelliccioni, Gian Andrea [1 ]
Gatto, Maria Rosaria Antonella [1 ]
Bolognesi, Silvia [1 ,2 ]
Dal Fiume, Daniele [2 ]
Sebold, Maicon [3 ]
Breschi, Lorenzo [1 ]
机构
[1] Alma Mater Studiorum Univ Bologna, Dept Biomed & Neuromotor Sci, Via San Vitale 59, I-40125 Bologna, Italy
[2] Dal Fiume Private Practice, Via G Leopardi 101, I-40026 Imola, Italy
[3] Univ Estadual Campinas, Dept Restorat Dentisty, Operat Dent Div, Piracicaba Dent Sch, Ave Limeira 901, BR-13414903 Piracicaba, Brazil
关键词
fiber optic technology; transillumination; radiography; bitewing; dental caries; diagnosis; oral; ROC curve; INFRARED LIGHT TRANSILLUMINATION; ASSESSMENT SYSTEM ICDAS; INTERNATIONAL CARIES; AGREEMENT;
D O I
10.3390/jcm10204780
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purposes: this clinical study evaluated the accuracy and execution time of a digital imaging fiber-optic transillumination (DIFOTI) technique for the detection of approximal caries in posterior teeth compared to intra-oral examination associated with bitewing radiographs. Methods: one hundred patients were selected and submitted to clinical inspection and bitewing radiographs. The outcomes of this process were converted into scores, according to the International Caries Detection and Assessment System (ICDAS): 0-sound tooth; 1, 2, and 3-carious lesion confined within enamel; 4, 5, and 6-dentin carious lesion. Subsequently, an independent investigator acquired digital images of the same teeth using a DIFOTI device (DIAGNOcam, Kavo Dental), which were also converted into ICDAS scores. The time required for executing diagnostic procedures was measured. The clinical sensitivity and specificity of DIFOTI were analyzed by receiver operating characteristic (ROC) curves. The time necessary to perform the diagnostic methods was evaluated by Mann-Whitney U (alfa = 0.05). Results: the overall test accuracy for the DIFOTI-based device ranged from 0.717 to 0.815 (area under the ROC curve) with p < 0.0001 for all ICDAS scores. Bitewing radiographs took almost twice the time required by DIFOTI (p < 0.001). Conclusions: the DIFOTI-based device DIAGNOcam provided accurate detection of approximal caries in posterior teeth, even at early stages. The technique employed for transillumination caries diagnosis by the same device took less time than conventional bitewing radiographs. Clinical Relevance: transillumination devices, such as DIAGNOcam, can be accurately used for caries diagnosis in approximal surfaces of posterior teeth, demanding less clinical time and without radiation-related risks.
引用
收藏
页数:10
相关论文
共 49 条
  • [1] Effect of noise on the compressibility and diagnostic accuracy for caries detection of digital bitewing radiographs
    Janhom, A
    van der Stelt, PF
    van Ginkel, FC
    Geraets, WGM
    DENTOMAXILLOFACIAL RADIOLOGY, 1999, 28 (01) : 6 - 12
  • [2] Diagnostic accuracy of artificial intelligence for approximal caries on bitewing radiographs: A systematic review and meta-analysis
    Carvalho, Bruna Katherine Guimaraes
    Nolden, Elias-Leon
    Wenning, Alexander Schulze
    Kiss-Dala, Szilvia
    Agocs, Gergely
    Roth, Ivett
    Keremi, Beata
    Geczi, Zoltan
    Hegyi, Peter
    Kivovics, Marton
    JOURNAL OF DENTISTRY, 2024, 151
  • [3] Accuracy of near-infrared light transillumination (NILT) compared to bitewing radiograph for detection of interproximal caries in the permanent dentition: A systematic review and meta-analysis
    Ortiz, Mariangela Ivette Guanipa
    Alencar, Cristiane de Melo
    Paula, Brennda Lucy Freitas De
    Magno, Marcela Barauna
    Maia, Lucianne Cople
    Silva, Cecy Martins
    JOURNAL OF DENTISTRY, 2020, 98
  • [4] Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
    Chen, Xiaotong
    Guo, Jiachang
    Ye, Jiaxue
    Zhang, Mingming
    Liang, Yuhong
    CARIES RESEARCH, 2023, 56 (5-6) : 455 - 463
  • [5] Evaluation of near-infrared digital imaging transillumination compared with bitewing radiography for proximal caries detection in children
    Patel, Jilen
    Vannemreddy, Akhil
    Goh, Yee Jing
    Francis, Youssef
    Anthonappa, Robert
    INTERNATIONAL JOURNAL OF PAEDIATRIC DENTISTRY, 2025, 35 (01) : 108 - 117
  • [6] Diagnostic performance of artificial intelligence-aided caries detection on bitewing radiographs: a systematic review and meta-analysis
    Ammar, Nour
    Kuehnisch, Jan
    JAPANESE DENTAL SCIENCE REVIEW, 2024, 60 : 128 - 136
  • [7] Accuracy of computer-automated caries detection in digital radiographs compared with human observers
    Wenzel, A
    Hintze, H
    Kold, LM
    Kold, S
    EUROPEAN JOURNAL OF ORAL SCIENCES, 2002, 110 (03) : 199 - 203
  • [8] Evaluation of Caries Detection on Bitewing Radiographs: A Comparative Analysis of the Improved Deep Learning Model and Dentist Performance
    Ayhan, Baturalp
    Ayan, Enes
    Karadag, Gokhan
    Bayraktar, Yusuf
    JOURNAL OF ESTHETIC AND RESTORATIVE DENTISTRY, 2025,
  • [9] Real-Time Caries Detection of Bitewing Radiographs Using a Mobile Phone and an Artificial Neural Network: A Pilot Study
    Pun, Ming Hong Jim
    ORAL, 2023, 3 (03): : 437 - 449
  • [10] Diagnostic accuracy of DXA compared to conventional spine radiographs for the detection of vertebral fractures in children
    E. Adiotomre
    L. Summers
    A. Allison
    S. J. Walters
    M. Digby
    P. Broadley
    I. Lang
    G. Morrison
    N. Bishop
    P. Arundel
    A. C. Offiah
    European Radiology, 2017, 27 : 2188 - 2199