Purpose: Oral or oropharyngeal tumors degrade patients' speech quality because of their location. The treatment of these cancers also affects the functional outcomes, depending on type (surgery, radiotherapy, chemotherapy), volume resection (according the size of the tumor) or on the anatomical area treated, and the post-treatment delay. The aim of this work is to determine the factors influencing the chronic speech disorders (in terms of intelligibility and severity) of patients treated for an oral or oropharyngeal cancer.
Methods: Speech-perceptive assessment was led by a panel of six expert speech therapists, on a task of a description of a picture, presented to 87 patients. Clinical and treatment data were gathered by examining medical files.
Results: Intelligibility and severity scores in our population were 6.06 (interquartile range 4.2-8) and 7.61 (interquartile range 6.8-9.5) on a maximum of 10. After adjusting for age and anatomical region involved, multivariate analysis showed a principal impact of surgery on both intelligibility and severity, while the size of the tumor significantly affected the intelligibility score [- 143; 95% CI (- 2.21, - 0.65)]. These results are consistent with the definitions of intelligibility and severity of speech disorders.
Conclusions: The lack of information on the impact of tumor location, however, requires more work to contribute to reducing impact on the quality of life of patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00405-019-05397-6 | DOI Listing |
J Magn Reson Imaging
January 2025
Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Background: As ferroptosis is a key factor in renal fibrosis (RF), iron deposition monitoring may help evaluating RF. The capability of quantitative susceptibility mapping (QSM) for detecting iron deposition in RF remains uncertain.
Purpose: To investigate the potential of QSM to detect iron deposition in RF.
JAMA Netw Open
January 2025
Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.
View Article and Find Full Text PDFAppl Neuropsychol Child
January 2025
National Research Center, Giza, Egypt.
Unlabelled: Stuttering is a speech disorder disrupting fluency with implications that could affect psychological, educational, social, and occupational aspects of life. Cognitive functions include mental processes that allows for execution of goal-directed responses in different situations. They are usually referred to as executive functions (EF) which consists of three main components, working memory, cognitive flexibility, and inhibitory control.
View Article and Find Full Text PDFJ Dent Sci
January 2025
First Clinical Division, Peking University School and Hospital of Stomatology & National Center for 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 Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, China.
Background/purpose: Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.
Materials And Methods: The study included 388 intraoral photographs.
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.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!