Introduction: The purpose of the present study was to evaluate the prevalence of bilateral three-rooted mandibular first and second molars in Indian population.
Materials And Methods: A total of 215 patients were screened bilaterally for mandibular first and second molar and 430 samples of periapical radiographs were obtained. The gender, symmetry, and prevalence of three-rooted mandibular first and second molars were recorded. The correlation between left and right side occurrences and distribution were recorded and analysed using Z-test.
Results: The results showed that 33 teeth had three-rooted mandibular first molars, 16 male and 17 female (P=0.442). Overall, 21 teeth of right jaw and 12 teeth of left jaw (P=0.103) showed presence of an extra-root. The prevalence of three-rooted mandibular first molars was 7.67% and second molar was 0.23%. The bilateral frequency distribution was 3.72% for the first molar. There was no statistically significant difference between right side and left side mandibular molars. Also, gender did not show a significant relationship with this variant.
Conclusion: The endodontic treatments of first mandibular molars require a careful clinical approach in Indian population as a high racial prevalence of 7.67% three-rooted molars was found. However, in the same population, 0.23% mandibular second molars had three roots.
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BMC Med Imaging
January 2025
Department of Dentomaxillofacial Radiology, Faculty of Dentistry, İstanbul Medipol University, İstanbul, Turkey.
Background: This retrospective study aims to characterise the root canal morphology of maxillary and mandibular second molars using cone-beam computed tomography (CBCT). The number of roots and canal configurations were evaluated using both the Vertucci and Benjamı´n Brisen˜ o Marroquı´n classification systems.
Methods: A total of 1084 second molar images (523 maxillary; 266 right and 257 left side and 561 mandibular; 285 right and 276 left side) were evaluated from 320 CBCT scans analyzed for the Turkish subpopulation.
Cureus
November 2024
School of Medicine, The University of Jordan, Amman, JOR.
Background Anatomical variations in the mandibular first molars can significantly impact endodontic outcomes. The presence of additional roots, such as the distolingual radix entomolaris (RE) and the mesiobuccal radix paramolaris (RP), complicates endodontic procedures. Traditional radiographs often fail to detect these variations due to their inherent limitations.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Dentistry and Central Lab, Ninth People's Hospital of Suzhou, Soochow University, Suzhou, China.
This study aimed to develop a deep learning system for the detection of three-rooted mandibular first molars (MFMs) on panoramic radiographs and to assess its diagnostic performance. Panoramic radiographs, together with cone beam computed tomographic (CBCT) images of the same subjects, were retrospectively collected from 730 patients, encompassing a total of 1444 MFMs (367 teeth were three-rooted and the remaining 1077 teeth were two-rooted). Five convolutional neural network (CNN) models (ResNet-101 and - 50, DenseNet-201, MobileNet-v3 and Inception-v3) were employed to classify three- and two-rooted MFMs on the panoramic radiographs.
View Article and Find Full Text PDFBMC Oral Health
September 2024
Department of Dentistry, Suzhou Ninth People's Hospital, Suzhou, China.
Background: To investigate the anatomic features of the root furcation of permanent mandibular first molars.
Methods: A total of 50 extracted mandibular first molars (25 two-rooted and 25 three-rooted) were collected and scanned using micro-computed tomography. The digital models of teeth and root canal systems were reconstructed three-dimensionally.
BMC Oral Health
June 2024
Department of Endodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Shandong University, Jinan, Shandong, 250012, China.
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