Purpose: Manual delineation of dental structures is too time-consuming to be feasible in routine practice. Information on dose risk levels is crucial for dentists following irradiation of the head and neck to avoid postextraction osteoradionecrosis based on empirical dose-effects data established on bidimensional radiation therapy plans.
Material And Methods: We present an automatic atlas-based segmentation framework of the dental structures, called Dentalmaps, constructed from a patient image-segmentation database.
Results: This framework is accurate (within 2 Gy accuracy) and relevant for the routine use. It has the potential to guide dental care in the context of new irradiation techniques.
Conclusion: This tool provides a user-friendly interface for dentists and radiation oncologists in the context of irradiated head and neck cancer patients. It will likely improve the knowledge of dose-effect correlations for dental complications and osteoradionecrosis.
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http://dx.doi.org/10.1016/j.canrad.2011.05.010 | DOI Listing |
Target Oncol
January 2025
Hematology-Oncology Service, Department of Medicine, Centre hospitalier de l'Université de Montréal (CHUM), 1000, rue Saint-Denis, Montreal, QC, Canada.
Background: BERIL-1 was a randomized phase 2 study that studied paclitaxel with either buparlisib, a pan-class I PIK3 inhibitor, or placebo in patients with recurrent or metastatic (R/M) head and neck squamous cell cancer (HNSCC). Considering the therapeutic paradigm shift with immune checkpoint inhibitors (ICIs) now approved in the first-line setting, we present an updated immunogenomic analysis of patients enrolled in BERIL-1, including patients with immune-infiltrated tumors.
Objective: The objective of this study was to identify biomarkers predictive of treatment efficacy in the context of the post-ICI therapeutic landscape.
Eur Arch Otorhinolaryngol
January 2025
Department of Otolaryngology, Robert Debre Hospital, Assistance Publique Hôpitaux de Paris (APHP) and Paris University, 48, Boulevard Sérurier, 75019, Paris, France.
Objectives: This study aimed to identify factors predicting postoperative ICU admission, the need for orotracheal intubation (OTI), and the occurrence of supraglottic stenosis in children undergoing supraglottoplasty for laryngomalacia.
Methods: A retrospective analysis was conducted on 31 children (Dear Reviewer, we would have greatly preferred to include a larger sample size. However, as you know, this type of management is rare, and we deliberately selected a 7-year period to ensure a minimum of 30 children while avoiding significant differences in management guidelines over time.
Support Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFIntroduction: Computed tomography (CT) angiography is commonly utilized to quickly identify vascular injuries caused by blunt cervical trauma. It is often conducted alongside a cervical spine CT, based on established criteria. This study assessed the prevalence of cervical vascular injuries identified via CT angiography (CTA) in patients who had negative findings on cervical CT scans.
View Article and Find Full Text PDFJ Allergy Clin Immunol Pract
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Iowa, Iowa City, Iowa.
Background: Otitis media with effusion (OME) is associated with comorbidities such as allergic rhinitis, gastroesophageal reflux disease, asthma, and more. Many of these comorbidities can be caused by type 2 inflammation (T2I). This study aims to determine the risk of undergoing OME surgery in patients with and without T2I disease.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!