The authors report a clinical case of congenital cyst of the pancreas occurred in a female aged 15 months. They stress how this pathology is particularly rare in pediatric age (only 22 cases in the literature) and how it is extremely difficult to formulate a preoperative diagnosis. The young patient was in good general condition with an enormous abdominal tumefaction and without alterations of hematochemical markers. Echographic and tomographic patterns led to four diagnostic hypotheses: a) mesenteric cyst; b) left ovarian cyst or compound ovarian tumor; c) intestinal duplication; d) pancreatic cyst. Only after surgery a correct diagnosis was formulated (on the basis of the topographic position and the intracystic content of amylase and lipase) and a complete resolution of this pathology was obtained. Surgery therefore has the double function of formulating a correct diagnosis and allowing the complete resolution of this pathology. The complete surgical removal of the mass, in view of the benignity of this lesion, is the therapeutic goal.
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Anaesthesiologie
January 2025
Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Frankfurt, Frankfurt, Deutschland.
Background: Despite being treatable, the prevalence of anemia is relatively high, affecting up to 30% of the general population and 35% of patients undergoing surgery. Symptoms are often misinterpreted and patients frequently do not recognize anemia as a disease. As a result, it is often not discussed during medical consultations.
View Article and Find Full Text PDFAnn Noninvasive Electrocardiol
March 2025
Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
Background: Arterial stiffness, measured using carotid-femoral pulse wave velocity (c-f PWV) and heart rate-corrected augmentation index (Aix75), is associated with cardiovascular disease, and in some studies incident atrial fibrillation (AF). In this cross-sectional study, we aimed to investigate whether arterial stiffness is associated with markers of atrial myopathy, which refers to structural and electrical changes in the atria that indicate increased AF risk.
Methods: We included 1050 participants (age 57 ± 4.
Med Phys
January 2025
National Institute for Mathematical Sciences, Daejeon, Republic of Korea.
Background: In X-ray computed tomography (CT), metal-induced beam hardening artifacts arise from the complex interactions between polychromatic X-ray beams and metallic objects, leading to degraded image quality and impeding accurate diagnosis. A previously proposed metal-induced beam hardening correction (MBHC) method provides a theoretical framework for addressing nonlinear artifacts through mathematical analysis, with its effectiveness demonstrated by numerical simulations and phantom experiments. However, in practical applications, this method relies on precise segmentation of highly attenuating materials and parameter estimations, which limit its ability to fully correct artifacts caused by the intricate interactions between metals and other dense materials, such as bone or teeth.
View Article and Find Full Text PDFJ Oral Pathol Med
January 2025
Department of Oral Pathology and Surgery, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Background: Cosmetic injections are increasing, as their complications, which can be misdiagnosed as neoplastic lesions. This study aimed to detail clinical, pathological, histochemical, and immunohistochemical features of adverse reactions to cosmetic fillers in the oral and maxillofacial region.
Methods: Samples were retrieved from five pathology laboratories.
Med Phys
January 2025
Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
Background: Automatic segmentation of breast tumors from the ultrasound images is essential for the subsequent clinical diagnosis and treatment plan. Although the existing deep learning-based methods have achieved considerable progress in automatic segmentation of breast tumors, their performance on tumors with similar intensity to the normal tissues is still not satisfactory, especially for the tumor boundaries.
Purpose: To accurately segment the non-enhanced lesions with more accurate boundaries, a novel multilevel perception boundary-guided network (PBNet) is proposed to segment breast tumors from ultrasound images.
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