Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/0890334420977815 | DOI Listing |
J Dent Sci
January 2025
School of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Background/purpose: Identifying crestal bone level (CBL) on the buccal and lingual aspects poses challenges in conventional dental radiographs. Given that optical coherence tomography (OCT) has the capability to non-invasively provide in-depth information about the periodontium, this in vitro study aimed to assess whether OCT can effectively identify periodontal landmarks and measure CBL in the presence of gingiva.
Materials And Methods: An in-house handheld scanning probe connected to a 1310-nm swept-source OCT (SS-OCT) system, along with self-developed algorithms were employed to measure the CBL in dental models with artificial gingiva.
J Dent Sci
January 2025
Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing, China.
Background/purpose: Dental management prior to radiotherapy is often time-critical, and there are no studies on whether manipulations such as tooth extraction influence the risk of severe radiation-induced oral mucositis (ROM) during radiotherapy. Therefore, the aim of this study was to describe the relationship between dental management and the incidence of severe ROM.
Materials And Methods: A retrospective analysis was conducted on 144 head and neck cancer (HNC) patients who received dental management before radiotherapy at Peking University Cancer Hospital, from January 2016 to December 2017.
J Dent Sci
January 2025
Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan.
Background/purpose: In this study, we utilized magnetic resonance imaging data of the temporomandibular joint, collected from the Division of Oral and Maxillofacial Surgery at Taipei Veterans General Hospital. Our research focuses on the classification and severity analysis of temporomandibular joint disease using convolutional neural networks.
Materials And Methods: In gray-scale image series, the most critical features often lie within the articular disc cartilage, situated at the junction of the temporal bone and the condyles.
Front Neurosci
January 2025
Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, United States.
Introduction: In the rapidly advancing field of 'omics research, there is an increasing demand for sophisticated bioinformatic tools to enable efficient and consistent data analysis. As biological datasets, particularly metabolomics, become larger and more complex, innovative strategies are essential for deciphering the intricate molecular and cellular networks.
Methods: We introduce a pioneering analytical approach that combines Principal Component Analysis (PCA) with Graphical Lasso (GLASSO).
J Orthop
August 2025
University of Turin, Centro Traumatologico Ortopedico (CTO), Department of Orthopaedic Surgery, Turin, Italy.
Introduction: Sacroiliac joint (SIJ) dislocations, particularly pure SIJ dislocations without associated fractures, represent a rare and complex subset of pelvic ring injuries. Given the intricate pelvic anatomy and the need to achieve both stability and functional recovery, the optimal surgical management for these injuries remains a topic of debate. This systematic review aims to evaluate the various surgical techniques employed in treating this rare and challenging injury and assess associated clinical outcomes and complications.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!