Early detection of osteogenesis in jaw cyst surgery: the diagnostic value of SPECT/CT compared to CBCT [0.03%]
SPECT/CT和CBCT在下颌囊肿手术中早期骨生成的诊断价值比较研究
Huan Hu,Jiahang Wu,Lili Cui et al.
Huan Hu et al.
Background: Early detection of bone regeneration following surgical enucleation of jaw cysts is critical for timely clinical intervention. This study investigates the diagnostic value of Single-Photon Emission Computed To...
Oncocytic papillary cystadenoma of the parotid gland: characteristic multiparametric MRI signature [0.03%]
腮腺乳头状囊腺瘤的多参数MRI特征性影像表现
Niya Slavkova-Bakic,Maria Nedevska,Pavel Stanimirov et al.
Niya Slavkova-Bakic et al.
Volumetric dimensions of the maxillary sinus affect infraorbital canal configurations? A CBCT study [0.03%]
基于锥形束CT的上颌窦体积大小影响眶下神经管走行吗？
Rıdvan Akyol,Beyza Yalvaç Pınarbaşı,Meryem Kaygısız Yiğit et al.
Rıdvan Akyol et al.
Purpose: The primary aim of this study was to evaluate the relationship between maxillary sinus volume (MSV) and morphological variations of the infraorbital canal (IOC) using cone beam computed tomography (CBCT) images. ...
Ultrasonographic evaluation of genioglossus and geniohyoid muscles stiffness in obstructive sleep apnea [0.03%]
睡眠呼吸暂停的舌骨舌肌和舌骨下肌超声评价研究
Fatma Akkoca,Gunnur Ilhan,Deniz Ozkara et al.
Fatma Akkoca et al.
Objective: This study aimed to investigate the relationship between the severity of obstructive sleep apnea (OSA) and stiffness of the genioglossus (GG) and geniohyoid (GH) muscles using shear wave elastography (SWE), a n...
Bidirectional analysis of clinical and MRI correlations in temporomandibular disorders using regression models [0.03%]
基于回归模型的颞下颌关节紊乱病临床与MRI双向相关性分析
Péter Schmidt,Szilvia Ambrus,Szandra Körmendi et al.
Péter Schmidt et al.
Objectives: In the course of a standard diagnostic procedure for temporomandibular joint disorder (TMD), there is often uncertainty regarding the necessity of magnetic resonance imaging (MRI) of the temporomandibular join...
Regarding the paper "Evaluation of the effect of reducing metal artifacts in multi-detector CT imaging of zirconia and titanium implants" accepted: February 17, 2025 [0.03%]
关于论文“评价多排螺旋CT牙种植体金属伪影减少效果：氧化锆和纯钛”的接受日期：2025年2月17日
Yasuhiko Morita
Yasuhiko Morita
I am writing to raise concerns regarding the above-mentioned paper, specifically related to the phantom used in the study "Evaluation of the Effect of Reducing Metal Artifacts in Multi-Detector CT Imaging of Zirconia and Titanium Implants" ...
Web-based AI application for enhanced dental disease diagnosis using advanced object detection integrated with transformer-based attention mechanism [0.03%]
基于web的AI应用：使用先进的物体检测与Transformer注意机制相结合的方法增强牙病诊断
Hossein Sadr,Mojdeh Nazari,Mahsa Koochaki et al.
Hossein Sadr et al.
Background: The accurate and timely diagnosis of dental diseases is critical for effective treatment and improved patient outcomes. However, traditional methods of analyzing panoramic X-ray images rely heavily on the expe...
Evaluation of the accuracy of detecting C-shaped canals in mandibular second molars identified by cone-beam computed tomography on panoramic radiographs using artificial intelligence algorithms developed with deep learning methods [0.03%]
基于锥形束CT的下颌第二磨牙C型根管在曲面体层片上的人工智能检测算法的准确性评价研究
O Uysal,M Polat,H M Akgül
O Uysal
Objective: The aim of this study is to detect the C-shaped canal formation in mandibular second molars on panoramic radiographs based on different Deep Convolutional Neural Networks (DCNNs) trained using panoramic radiogr...
Minimum fascia-tumor distance of parotid tumors: a comparison of ultrasound and computed tomography [0.03%]
腮腺肿瘤包膜与瘤体的距离：超声和CT的对比研究
Yi-Chan Lee,Yi-An Lu,Yao-Te Tsai et al.
Yi-Chan Lee et al.
Objectives: The minimum fascia-tumor distance (MFTD) measured by ultrasound (US) has been proposed for detecting deep lobe parotid tumors, but probe compression may cause measurement bias. Computed tomography (CT), free f...
Towards accurate occlusal plane positioning in panoramic radiographs: a deep learning-assisted study [0.03%]
基于深度学习的全景片咬合平面精确定位研究
Selim Yılmaz,Ceyda Gürhan
Selim Yılmaz
Objective: To assess the effectiveness of deep learning architectures in automatically classifying head positioning errors on panoramic radiographs (PRs). ...