Treatment of mandibular condyle fractures using a modified transparotid approach via the parotid mini-incision: experience with 31 cases. [PDF]
Surgery for mandibular condyle fractures must allow direct vision of the fracture, reduce surgical trauma and achieve reduction and fixation while avoiding facial nerve injury. This prospective study was conducted to introduce a new surgical approach for
Jun Shi, Hao Yuan, Bing Xu
doaj +1 more source
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans [PDF]
Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts determine the implant position and dimensions manually from 3D CT images to avoid damaging the mandibular nerve inside the canal. In this paper, we propose a novel dual-stage deep learning-based scheme for the automatic segmentation of the ...
arxiv
Automatic tracing of mandibular canal pathways using deep learning [PDF]
There is an increasing demand in medical industries to have automated systems for detection and localization which are manually inefficient otherwise. In dentistry, it bears great interest to trace the pathway of mandibular canals accurately. Proper localization of the position of the mandibular canals, which surrounds the inferior alveolar nerve (IAN),
arxiv
Circadian BMAL1 regulates mandibular condyle development by hedgehog pathway
Chondrogenesis and endochondral ossification in mandibular condyle play crucial roles in maxillofacial morphogenesis and function. Circadian regulator brain and muscle arnt‐like 1 (BMAL1) is proven to be essential for embryonic and postnatal development.
Shaoling Yu+7 more
semanticscholar +1 more source
Prediction of mandibular ORN incidence from 3D radiation dose distribution maps using deep learning [PDF]
Background. Absorbed radiation dose to the mandible is an important risk factor in the development of mandibular osteoradionecrosis (ORN) in head and neck cancer (HNC) patients treated with radiotherapy (RT). The prediction of mandibular ORN may not only guide the RT treatment planning optimisation process but also identify which patients would benefit
arxiv
BackgroundReconstruction of mandibular continuity and function after tumor resection is challenging, particularly in cases including the mandibular condyle. Various approaches for reconstruction after disarticulation resection have been reported. However,
P. Voss+6 more
semanticscholar +1 more source
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans [PDF]
Deep learning approach has been demonstrated to automatically segment the bilateral mandibular canals from CBCT scans, yet systematic studies of its clinical and technical validation are scarce. To validate the mandibular canal localization accuracy of a deep learning system (DLS) we trained it with 982 CBCT scans and evaluated using 150 scans of five ...
arxiv
Purpose: The purpose of the study was to demonstrate the relationship between bone marrow edema of the mandibular condyle and osteoarthritic changes of the temporomandibular joint (TMJ) in a group of symptomatic patients using magnetic resonance imaging (
Galal Omami
doaj +1 more source
Background The aim of this study is to evaluate whether the three-dimensional (3D) morphology of the mandibular condyle, glenoid fossa, and mandible correlated with menton deviation in facial asymmetry. Subjects and methods Thirty adults (15 males and 15
Min-Hee Oh, Jin-Hyoung Cho
doaj +1 more source
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action [PDF]
Computer assisted technologies based on algorithmic software segmentation are an increasing topic of interest in complex surgical cases. However - due to functional instability, time consuming software processes, personnel resources or licensed-based financial costs many segmentation processes are often outsourced from clinical centers to third parties
arxiv +1 more source