Important losses to the ships of the allied troops by the attacks of the German submarines during World War I led researchers to find specific detecting devices as a means of defence. In 1880 Pierre Curie and his brother, discovered the production of ultrasound waves. Langevin, their student, applied this invention to the localisation of boats. At the end of WWI, research and results ended up being forgotten, but gained attention again with the sonar when WWII loomed on the horizon. At the end of the war, a former military medical doctor, G. Ludwig (US Navy), tried to localize gallstones with a left-over sonar apparatus. This definitely led to firm conclusions. Other researchers in several countries contributed to refining this new imaging technique which is nowadays widely applied. During WWII, the American and British army developed considerable research in the field of the calculator (computer) to speed up deciphering the secret codes. Coupling the principles of tomography discovered during WWI with the computing capability of the calculators developed during WWII, computerized axial tomography could be obtained. This new technology, which is used daily, probably is one of the greatest acquisitions of the 20th century in the field of medical imaging.
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Neurology
February 2025
Department of Advanced Biomedical Sciences, University "Federico II," Naples, Italy.
Background And Objectives: Although multiple sclerosis (MS) can be conceptualized as a network disorder, brain network analyses typically require advanced MRI sequences not commonly acquired in clinical practice. Using conventional MRI, we assessed cross-sectional and longitudinal structural disconnection and morphometric similarity networks in people with MS (pwMS), along with their relationship with clinical disability.
Methods: In this longitudinal monocentric study, 3T structural MRI of pwMS and healthy controls (HC) was retrospectively analyzed.
Radiographics
February 2025
From the Department of Radiology, Nihon University School of Dentistry at Matsudo, 2-870-1 Sakaecho-Nishi, Matsudo, Chiba 271-8587, Japan (K.I., K.O., T.K.); Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba, Japan (H.K.); Department of Radiology, VA Boston Health Care System, Boston, Mass (V.C.A.A.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (O.S.).
Various new dental treatment methods have been introduced in dental clinics, and many new materials have been used in recent years for dental treatments. Dentistry is divided into several specialties, each offering unique treatments, such as endodontics, implantology, oral surgery, and orthodontics. CT and MR images after dental treatment reveal a variety of hard- and soft-tissue changes and dental materials, which often cause image artifacts.
View Article and Find Full Text PDFTech Coloproctol
January 2025
Department of Colorectal Surgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222 Banpodearo, Seochogu, Seoul, 06591, Korea.
Metastatic lateral pelvic lymph node (LPN) in rectal cancer has a significant clinical impact on the prognosis and treatment strategies. But there are still debates regarding prediction of lateral pelvic lymph node metastasis and its oncological impact. This review explores the evidence for predicting lateral pelvic lymph node metastasis and survival in locally advanced rectal cancer.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Department of Cardiac Sciences, University of Calgary and Libin Cardiovascular Institute, Calgary, AB, Canada.
Purpose Of Review: This review evaluates recent advancements in Technetium-99 m pyrophosphate (99mTc-PYP) imaging for transthyretin amyloid cardiomyopathy (ATTR-CM). We summarize the advantages of single-photon emission computed tomography (SPECT) over planar imaging, the potential impact of quantitative methods, and emerging data for quantifying response to therapy.
Recent Findings: The current literature demonstrates the superior diagnostic accuracy of SPECT compared with planar imaging in 99mTc-PYP studies.
Med Biol Eng Comput
January 2025
Artificial Intelligence Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India.
The generalization of deep learning (DL) models is critical for accurate lesion segmentation in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well due to the high frequency and scale variations inherent in BUS images. Moreover, conventional loss functions used in these models frequently result in imbalanced optimization, either prioritizing region overlap or boundary accuracy, which leads to suboptimal segmentation performance.
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