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Investigation of the effect of thyroid collar, radiation safety glasses and lead apron on radiation dose in cone beam computed tomography.
Dentomaxillofac Radiol
January 2025
Assist. Prof. Dr, Selcuk University Faculty of Medicine, Department of Radiation Oncology, Konya, 42130, Turkiye.
Objectives: Due to the increasing use of cone-beam computed tomography (CBCT) in dentistry and considering the effects of radiation on radiosensitive organs, the aim of this study was to investigate the effect of shielding on absorbed dose of eyes, thyroid and breasts in scans conducted with different parameters using two different fields of view (FOV).
Methods: Dose measurements were calculated on a tissue-equivalent female phantom by repeating each scanning parameter three times and placing at least two thermoluminescent dosimeters (TLD) on each organ, with the averages then taken. The same CBCT scans were performed in two different FOV with shielding including thyroid collar, radiation safety glasses and lead apron and without shielding.
3 dimensional TEE semiautomated tricuspid annulus analysis: validation against computed tomography in patients undergoing percutaneous annuloplasty.
Eur Heart J Cardiovasc Imaging
January 2025
Cardiology Department, University Hospital Ramon y Cajal, Madrid, Spain.
Perfusion estimation from dynamic non-contrast computed tomography using self-supervised learning and a physics-inspired U-net transformer architecture.
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFDeep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.
Radiol Med
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.
Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.
Therapeutic potential of 4-hexylresorcinol in reducing sarcopenia in diabetic masseter muscle.
Maxillofac Plast Reconstr Surg
January 2025
Gangneung-Wonju National University KR, Gangneung-si, Gangwon-do, Republic of Korea.
Background: This study aimed to evaluate the effects of 4-hexylresorcinol (4HR), a synthetic compound with antioxidant and stress-modulating properties, on diabetic sarcopenia in the masseter muscle.
Methods: A controlled, parallel-arm study was conducted using 38 Sprague-Dawley rats divided into diabetic and non-diabetic groups. Diabetes was induced with streptozotocin (STZ), and the groups were further subdivided to receive weekly subcutaneous injections of either 4HR or saline.
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