Effects of Edentulism on Mandibular Morphology: Evaluation of Panoramic Radiographs

Effects of Edentulism on Mandibular Morphology: Evaluation of Panoramic Radiographs

Purpose. The objective of this study was to evaluate morphological changes of the mandible in edentulous and dentate subjects using panoramic radiographs. Materials and Methods. Panoramic radiographs were divided into the following three groups: Group I (completely edentulous group), Group II (old d...

Full description

Saved in:

Bibliographic Details
Main Authors:	Rıdvan Okşayan, Bayram Asarkaya, Nizamettin Palta, İrfan Şimşek, Oral Sökücü, Eren İşman
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2014/254932
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessment of the Mandibular Incisive Canal by Panoramic Radiograph and Cone-Beam Computed Tomography
by: Ricardo Raitz, et al.
Published: (2014-01-01)

Assessment of the mandibular incisive canal by panoramic radiograph and cone-beam computed tomography
by: Dilek Menzġletoğlu
Published: (2017-04-01)

Anteroposterior location of the mandibular foramen of 7 to 12 year-old children in panoramic radiographs
by: Evelise Ono, et al.
Published: (2010-08-01)

Relation between maxillary sinus pneumatization and the thickness of the mandibular inferior border in panoramic radiographs
by: Nasim Jafari-pozve, et al.
Published: (2024-02-01)

Fully automated deep learning framework for detection and classification of impacted mandibular third molars in panoramic radiographs
by: Veerabhadrappa Suresh Kandagal, et al.
Published: (2025-01-01)

Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them
by: Atsushi Danjo, et al.
Published: (2024-12-01)

Application of Fractal Analysis in Detecting Trabecular Bone Characteristics Around Mandibular Impacted Third Molars on Dental Panoramic Radiographs
by: Elif Polat Balkan, et al.
Published: (2024-08-01)

Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact
by: A. Canberk Ulusoy, et al.
Published: (2025-02-01)

Mandibular residual ridge height in relation to age, gender and duration of edentulism in a Saudi population: A clinical and radiographic study
by: Hana Al AlSheikh, et al.
Published: (2019-04-01)

Retrospective panoramic radiographic evaluation of acute leukemia patients with fractal analysis
by: Hüseyin Balbay, et al.
Published: (2025-07-01)

PXseg: automatic tooth segmentation, numbering and abnormal morphology detection based on CBCT and panoramic radiographs
by: Raokaijuan Wang, et al.
Published: (2025-07-01)

Radiographic signs of bone mineral density in panoramic radiographs from pre and postmenopausal patients.
by: Paula Cristina de Faria, et al.
Published: (2017-03-01)

Artificial intelligence-based detection of dens invaginatus in panoramic radiographs
by: Ayse Hanne Sarı, et al.
Published: (2025-06-01)

Impact of Digital Panoramic Radiograph Magnification on Vertical Measurement Accuracy
by: Marc El Hage, et al.
Published: (2015-01-01)

The influence of anatomical location on the accuracy of tonsillolith diagnosis on panoramic radiographs
by: Matheus Herreira-Ferreira, et al.
Published: (2024-10-01)

Evaluation of the styloid process in a Sri Lankan population using digital panoramic radiographs
by: Pilana Vithanage Kalani Shihanika Hettiarachchi, et al.
Published: (2019-01-01)

Is panoramic radiography sufficient enough for the evaluation of mandibular condyle osseous changes and cortication types?
by: Rüya Sessiz, et al.
Published: (2025-03-01)

Morphological and morphometric analysis of the inferior alveolar canal and mental foramen in black South Africans: A panoramic radiographic study
by: Ikeoluwa A. Oluwafemi, et al.
Published: (2025-06-01)

Evaluation of Haller's Cells Prevalence in a Sample of Polish Population Assessed Using Panoramic Radiographs
by: Angelika Manaj, et al.
Published: (2022-10-01)

Pano-GAN: A Deep Generative Model for Panoramic Dental Radiographs
by: Søren Pedersen, et al.
Published: (2025-02-01)

Delayed Diagnosis of Unilateral Mandibular Condylar Fracture in a Posterior Edentulous Patient
by: Sahani Anupama, et al.
Published: (2021-01-01)

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis
by: Ali Tarighatnia, et al.
Published: (2025-03-01)

Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology
by: Aslıhan Şahan Keskin, et al.
Published: (2025-06-01)

Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs
by: Ibrahim Burak Yuksel, et al.
Published: (2025-08-01)

Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs
by: Deniz Bora Küçük, et al.
Published: (2025-01-01)

Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs
by: Seda Arslan Tuncer, et al.
Published: (2024-12-01)

Discriminant function for grouping subjects into legal age of 12 and 14 years using maturity indices of seven mandibular teeth on panoramic radiograph – A cross sectional study
by: Rachana Prabhu, et al.
Published: (2024-12-01)

Evaluation of Mandibular Bone Alterations by Panoramic Radiography: A Potential Tool in the Identification of Signs of Osteopenia and Osteoporosis
by: Esdras Gabriel Alves-Silva, et al.
Published: (2025-07-01)

Implant-supported overdenture, an alternative option for the rehabilitation of a completely edentulous mandibular arch
by: Ganesh Ram Kumar Rajapandi, et al.
Published: (2025-07-01)

Case Series of Mandibular Glandular Odontogenic Cysts: Radiographic and Histopathological Evaluation
by: Hanadi Sabban, et al.
Published: (2025-01-01)

Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet
by: Salih Taha Alperen Ozcelik, et al.
Published: (2025-01-01)

The Validation of an Artificial Intelligence-Based Software for the Detection and Numbering of Primary Teeth on Panoramic Radiographs
by: Heba H. Bakhsh, et al.
Published: (2025-06-01)

Comment on “Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs”
by: Manas Bajpai
Published: (2025-08-01)

Automated detection and classification of osteolytic lesions in panoramic radiographs using CNNs and vision transformers
by: Niels van Nistelrooij, et al.
Published: (2025-06-01)

Management of Obstructive Sleep Apnea in an Edentulous Lower Jaw Patient with a Mandibular Advancement Device
by: Filiz Keyf, et al.
Published: (2014-01-01)

Management of severely resorbed edentulous mandibular ridge by neutral zone technique – A case report
by: J R Patel, et al.
Published: (2013-01-01)

Prosthetic rehabilitation of edentulous atrophied Mandibular ridge using piezographic technique: a case report
by: Stalin M, et al.
Published: (2024-04-01)

Trefoil System for the Treatment of Mandibular Edentulism: A Case Report with 30 Months Follow-Up
by: Andrea E. Borgonovo, et al.
Published: (2020-01-01)

Development and evaluation of a deep learning-based system for dental age estimation using the demirjian method on panoramic radiographs
by: Yunus Balel, et al.
Published: (2025-07-01)

Comparative evaluation of bone mineral density in premature birth and low birth weight children by fractal analysis on panoramic radiographs
by: Berrin Çelik, et al.
Published: (2025-06-01)