Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures. Existing quantitative approaches, like radiomics and deep learning models, lack explicit quantification of intricate and subtle parenchymal structures, including fibroglandular tissue. To address this, we propose a novel topological approach that explicitly extracts multi-scale topological structures to better approximate breast parenchymal structures, and then incorporates these structures into a deep-learning-based prediction model via an attention mechanism.
View Article and Find Full Text PDFPelvic venous disorder (PeVD) is a prevalent chronic condition characterized by the presence of varicose veins in the pelvis, leading to the development of chronic pelvic pain. Despite the growing interest in assessing quality of life in PeVD, well-designed and validated disease-specific questionnaires are missing. The objective of this study was a linguistic and clinical validation of the Symptom Questionnaire (SQ) in a cohort of Polish females with pelvic vein incompetence.
View Article and Find Full Text PDFIntroduction: One of the most popular tests of the heart is the electrocardiogram (ECG). The physical basis of this study has been known for over 200 years. However, the way an ECG is performed and the interpretation of the obtained results have undergone considerable evolution over time.
View Article and Find Full Text PDFKey Clinical Message: Femoral hypoplasia-unusual facies syndrome is a rare condition of unknown etiology. The phenotype consists of significant femoral hypoplasia with characteristic facial malformations that often overlap with findings seen in patients with Pierre Robin sequence. Anesthesia providers must prepare for difficult intravenous access, difficult airway management, and uncertainties with regional anesthesia.
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