Medicine is ever changing, as is the discipline of surgery. During the last decade, surgery has experienced a technological renaissance driven primarily by the desire to provide patients less invasive surgical treatments with shorter operating times, hospital stays, and recuperative periods. Many traditional open surgical procedures are now being replaced with endoscopic and laparoscopic techniques. As these minimally invasive techniques become sublimated in medical practice, the quest to develop truly noninvasive techniques continues in many medical specialties.
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From micro to macro, nanotechnology demystifies acute pancreatitis: a new generation of treatment options emerges.
J Nanobiotechnology
January 2025
Department of Gastroenterology, Shanghai Institute of Pancreatic Diseases, National Key Laboratory of Immunity and Inflammation, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Acute pancreatitis (AP) is a disease characterized by an acute inflammatory response in the pancreas. This is caused by the abnormal activation of pancreatic enzymes by a variety of etiologic factors, which results in a localized inflammatory response. The symptoms of this disease include abdominal pain, nausea and vomiting and fever.
View Article and Find Full Text PDFPeriapical bone edema volume in 3D MRI is positively correlated with bone architecture changes.
Insights Imaging
January 2025
Diagnostic and Interventional Radiology, University Hospital of Zurich, University Zurich, Zurich, Switzerland.
Objectives: To compare and correlate bone edema volume detected by 3D-short-tau-inversion-recovery (STIR) sequence to osseous decay detected by a T1-based sequence and conventional panoramic radiography (OPT).
Materials And Methods: Patients with clinical evidence of apical periodontitis were included retrospectively and received OPT as well as MRI of the viscerocranium including a 3D-STIR and a 3D-T1 gradient echo sequence. Bone edema was visualized using the 3D-STIR sequence and periapical hard tissue changes were evaluated using the 3D-T1 sequence.
Three-dimensional diffractive acoustic tomography.
Nat Commun
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Acoustically probing biological tissues with light or sound, photoacoustic and ultrasound imaging can provide anatomical, functional, and/or molecular information at depths far beyond the optical diffusion limit. However, most photoacoustic and ultrasound imaging systems rely on linear-array transducers with elevational focusing and are limited to two-dimensional imaging with anisotropic resolutions. Here, we present three-dimensional diffractive acoustic tomography (3D-DAT), which uses an off-the-shelf linear-array transducer with single-slit acoustic diffraction.
View Article and Find Full Text PDFUpdates in the Diagnosis of Chronic Pancreatitis: Current Approaches and New Possibilities.
Gastroenterol Clin North Am
March 2025
Division of Gastroenterology, Hepatology and Nutrition, University of Minnesota, 420 Delaware Street Southeast, Minneapolis, MN 55455, USA. Electronic address:
This review provides a comprehensive update on the diagnostic approaches to chronic pancreatitis (CP), emphasizing recent advancements in imaging techniques, biomarker research, and multivariable scoring systems. Despite substantial progress in these areas, current diagnostic algorithms have limitations, particularly for early and non-calcific CP. Traditional criteria have focused on classic diagnostic signs, but "minimal change" CP is increasingly recognized through advanced imaging and function tests.
View Article and Find Full Text PDFTransformers for Neuroimage Segmentation: Scoping Review.
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
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