Coarctation of the aorta (CoA) can either present alone as an isolated condition or in association with other aortic arch or cardiac anomalies. One percent of patients with CoA have concomitant an aberrant right subclavian artery (ARSA). We report the case of a 35-year-old woman with uncontrolled hypertension who was found to have CoA and ARSA. The patient was treated successfully using a hybrid procedure comprising ARSA ligation and subclavian to carotid transposition, followed by thoracic endovascular aortic repair. Patients with CoA should be carefully studied, considering the possible coexistence of other congenital aortic arch defects, such as ARSA. Hybrid repair is a safe and effective approach for this condition.
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http://dx.doi.org/10.1177/15385744211048309 | DOI Listing |
Talanta
January 2025
National Institutes for Quantum Science and Technology, 4-9-1 Anagawa, Chiba, Chiba, 263-8555, Japan; Department of Physics, Faculty of Science, Toho University, 2-2-1 Miyama, Funabashi, Chiba, 274-8510, Japan.
Natural uranium isotopes have extremely long half-lives; therefore, analytical methods based on the number of atoms, such as X-ray fluorescence (XRF) analysis, are suitable for uranium detection. However, XRF measurements cannot be used to detect the major isotopes of americium when present in amounts barely detectable using radiation measurements, owing to their relatively short half-lives. Because of α-decay-induced internal conversion, where orbital electrons are emitted instead of γ-rays, these nuclides emit characteristic X-rays.
View Article and Find Full Text PDFMed Image Anal
December 2024
Department of Electrical Engineering, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. Electronic address:
Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizability of the model to tackle the domain shift problem for cross-modality medical segmentation. However, most of the existing UDA approaches depend on high-quality image translation with diversity constraints to explicitly augment the potential data diversity, which is hard to ensure semantic consistency and capture domain-invariant representation. In this paper, free of image translation and diversity constraints, we propose a novel Style Mixup Enhanced Disentanglement Learning (SMEDL) for UDA medical image segmentation to further improve domain generalization and enhance domain-invariant learning ability.
View Article and Find Full Text PDFBest Pract Res Clin Anaesthesiol
March 2024
1400 Holcombe Blvd, FC 13.2000, Houston, TX, 77030, USA. Electronic address:
Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.
View Article and Find Full Text PDFPer Med
January 2025
Department of Clinical Pharmacy, Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.
View Article and Find Full Text PDFPurpose: The long scan times of quantitative MRI techniques make motion artifacts more likely. For MR-Fingerprinting-like approaches, this problem can be addressed with self-navigated retrospective motion correction based on reconstructions in a singular value decomposition (SVD) subspace. However, the SVD promotes high signal intensity in all tissues, which limits the contrast between tissue types and ultimately reduces the accuracy of registration.
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