Cleidocranial dysplasia: radiological appearances on dental panoramic radiography

1999 ◽  
Vol 28 (2) ◽  
pp. 89-97 ◽  
Author(s):  
C M McNamara ◽  
B C O'Riordan ◽  
M Blake ◽  
J R Sandy
2001 ◽  
Vol 30 (6) ◽  
pp. 308-313 ◽  
Author(s):  
F Gijbels ◽  
G Sanderink ◽  
C Bou Serhal ◽  
H Pauwels ◽  
R Jacobs

1999 ◽  
Vol 29 (2) ◽  
pp. 81-84 ◽  
Author(s):  
G Kaeppler ◽  
D Axmann-Krcmar ◽  
I Reuter ◽  
J Meyle ◽  
G Gómez-Román

2016 ◽  
Author(s):  
Cong Zhang ◽  
Yan Jiang ◽  
Xiaoping Xing ◽  
Mei Li ◽  
Ou Wang ◽  
...  

Medic ro ◽  
2019 ◽  
Vol 3 (129) ◽  
pp. 14
Author(s):  
Larisia Mihai ◽  
Cristina Mihai ◽  
Adriana Bălaşa ◽  
Adina  Ungureanu ◽  
Sergiu Chirila ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Gilyazetdinov Kamil ◽  
Ju Young Yoon ◽  
Sukdong Yoo ◽  
Chong Kun Cheon

Abstract Background Large-scale genomic analyses have provided insight into the genetic complexity of short stature (SS); however, only a portion of genetic causes have been identified. In this study, we identified disease-causing mutations in a cohort of Korean patients with suspected syndromic SS by targeted exome sequencing (TES). Methods Thirty-four patients in South Korea with suspected syndromic disorders based on abnormal growth and dysmorphic facial features, developmental delay, or accompanying anomalies were enrolled in 2018–2020 and evaluated by TES. Results For 17 of 34 patients with suspected syndromic SS, a genetic diagnosis was obtained by TES. The mean SDS values for height, IGF-1, and IGFBP-3 for these 17 patients were − 3.27 ± 1.25, − 0.42 ± 1.15, and 0.36 ± 1.31, respectively. Most patients displayed distinct facial features (16/17) and developmental delay or intellectual disability (12/17). In 17 patients, 19 genetic variants were identified, including 13 novel heterozygous variants, associated with 15 different genetic diseases, including many inherited rare skeletal disorders and connective tissue diseases (e.g., cleidocranial dysplasia, Hajdu–Cheney syndrome, Sheldon–Hall, acromesomelic dysplasia Maroteaux type, and microcephalic osteodysplastic primordial dwarfism type II). After re-classification by clinical reassessment, including family member testing and segregation studies, 42.1% of variants were pathogenic, 42.1% were likely pathogenic variant, and 15.7% were variants of uncertain significance. Ultra-rare diseases accounted for 12 out of 15 genetic diseases (80%). Conclusions A high positive result from genetic testing suggests that TES may be an effective diagnostic approach for patients with syndromic SS, with implications for genetic counseling. These results expand the mutation spectrum for rare genetic diseases related to SS in Korea.


2020 ◽  
Vol 24 (05) ◽  
pp. 523-534
Author(s):  
Danisia Haba ◽  
Yllka Decolli ◽  
Emilia Marciuc ◽  
Ana Elena Sîrghe

AbstractDentists and oral and maxillofacial radiologists have used periapical, occlusal, panoramic, and cephalometric radiographs for many years for diagnosing dental anomalies, especially before orthodontic or surgical treatment. Cone beam computed tomography was developed in recent years especially for the dental and maxillofacial region. Thus it has become the imaging modality of choice for many clinical situations, such as the assessment of dental impaction and structural teeth anomalies or other associated diseases and disorders (e.g., Gardner's syndrome, cleidocranial dysplasia). This article reviews different aspects of dental impaction and its possible effects on adjacent structures such as external root resorption, marginal bone loss, as well as describing structural dental anomalies. It provides a systematic analysis of their characteristic features and imaging findings for general radiologists to achieve a precise diagnosis and an optimal interpretation.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chiaki Kuwada ◽  
Yoshiko Ariji ◽  
Yoshitaka Kise ◽  
Takuma Funakoshi ◽  
Motoki Fukuda ◽  
...  

AbstractAlthough panoramic radiography has a role in the examination of patients with cleft alveolus (CA), its appearances is sometimes difficult to interpret. The aims of this study were to develop a computer-aided diagnosis system for diagnosing the CA status on panoramic radiographs using a deep learning object detection technique with and without normal data in the learning process, to verify its performance in comparison to human observers, and to clarify some characteristic appearances probably related to the performance. The panoramic radiographs of 383 CA patients with cleft palate (CA with CP) or without cleft palate (CA only) and 210 patients without CA (normal) were used to create two models on the DetectNet. The models 1 and 2 were developed based on the data without and with normal subjects, respectively, to detect the CAs and classify them into with or without CP. The model 2 reduced the false positive rate (1/30) compared to the model 1 (12/30). The overall accuracy of Model 2 was higher than Model 1 and human observers. The model created in this study appeared to have the potential to detect and classify CAs on panoramic radiographs, and might be useful to assist the human observers.


2017 ◽  
Vol 55 (10) ◽  
pp. e108-e109
Author(s):  
Dipesh Patel ◽  
Nishma Patel ◽  
Jerry Kwok ◽  
Martyn Cobourne

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