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A Comparison of Different Machine Learning Classifiers in Predicting Xerostomia and Sticky Saliva due to Head and Neck Radiotherapy using a Multi-objective, Multimodal Radiomics Model.
Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFMultimodal imaging characteristics of peripapillary cavernous hemangioma.
Arq Bras Oftalmol
January 2025
Ophthalmology Department, Ulucanlar Eye Training and Research Hospital, Ankara, Turkey.
Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging.
J Vis Exp
January 2025
Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee;
Cardiovascular disease (CVD) is the leading cause of death in the United States. Damage in the cardiovascular system can be due to environmental exposure, trauma, drug toxicity, or numerous other factors. As a result, cardiac tissue and vasculature undergo structural changes and display diminished function.
View Article and Find Full Text PDFAutomatic multimodal registration of cone-beam computed tomography and intraoral scans: a systematic review and meta-analysis.
Clin Oral Investig
January 2025
Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006, China.
Objectives: To evaluate recent advances in the automatic multimodal registration of cone-beam computed tomography (CBCT) and intraoral scans (IOS) and their clinical significance in dentistry.
Methods: A comprehensive literature search was conducted in October 2024 across the PubMed, Web of Science, and IEEE Xplore databases, including studies that were published in the past decade. The inclusion criteria were as follows: English-language studies, randomized and nonrandomized controlled trials, cohort studies, case-control studies, cross-sectional studies, and retrospective studies.
Diagnostic Feasibility of Cardiac PET CT in the Evaluation of Inflammatory, Infectious, and Malignant Heart Disease.
R I Med J (2013)
February 2025
Alpert Medical School of Brown University, Department of Medicine, Division of Cardiology, Rhode Island Hospital.
Cardiac Positron Emission Tomography (PET) is a power- ful imaging tool with diverse applications in the detection and diagnosis of various cardiac conditions, including inflammatory, infectious, and neoplastic processes. Using the radiotracer 18F-fluorodeoxyglucose (18F-FDG), cardiac PET enables the identification of cardiac involvement in diseases such as sarcoidosis and severe infections affecting the heart tissue. Additionally, 18F-FDG PET is valuable in the evaluation of cardiac masses, helping to assess their metabolic activity and potential malignancy.
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