Article 2024 · 4 atıf

Panoramic Radiography in the Evaluation of the Relationship of Maxillary Molar Teeth and Maxillary Sinuses on the Deep Learning Models Improved with the Findings Obtained by Cone Beam Computed Tomography

Kadan, E. A., Kilic, R., Miloglu, O., Ozbek, I. Y., Oral, E. A.

Özet

Background:Panoramic radiography (PR) is available to determine the contact relationship between maxillary molar teeth (MMT) and the maxillary sinus floor (MSF). However, as PRs do not provide clear and detailed anatomical information, advanced imaging methods can be used.Aim:The aim of this study was to evaluate the diagnostic performance of deep learning (DL) applications that assess the relationship of the MSF to the first maxillary molar teeth (fMMT) and second maxillary molar teeth (sMMT) on PRs with data confirmed by cone beam computed tomography (CBCT).Methods:A total of 2162 fMMT and sMMT were included in this retrospective study. The contact relationship of teeth with MSF was compared among DL methods.Results:DL methods, such as GoogLeNet, VGG16, VGG19, DarkNet19, and DarkNet53, were used to evaluate the contact relationship between MMT and MSF, and 85.89% accuracy was achieved by majority voting. In addition, 88.72%, 81.19%, 89.39%, and 83.14% accuracy rates were obtained in right fMMT, right sMMT, left fMMT, and left sMMT, respectively.Conclusion:DL models showed high accuracy values in detecting the relationship of fMMT and sMMT with MSF.

Anahtar Kelimeler

Artificial intelligence deep learning machine learning maxillary molars maxillary sinus neural networks 3RD MOLARS FLOOR DISTANCES SINUSITIS POSITION ANATOMY APICES

WoS Kategorileri

Medicine, General & Internal

Sürdürülebilir Kalkınma Amaçları

Sağlık ve Kaliteli Yaşam

Künye

Dergi: NIGERIAN JOURNAL OF CLINICAL PRACTICE
Yıl: 2024
Cilt: 27
Sayı: 5
Sayfa: 669-677
ISSN: 1119-3077
eISSN: 2229-7731
DOI: 10.4103/njcp.njcp_220_24
WoS UID: WOS:001233949200007

Yayını aç (DOI)