The aim of the present study was to demonstrate the usefulness of fetal magnetic resonance imaging (MRI) in ischemic brain injury. We report seven cases of fetal brain ischemia prenatally suspected on ultrasound (US) and confirmed by fetal MRI. Sonographic abnormalities included ventricular dilatation (n=3), microcephaly (n=1), twin pregnancy with in utero death of a twin and suspected cerebral lesion in the surviving co-twin (n=3). MRI was performed with a 1.0 T unit using half-Fourier acquisition single-shot turbo spin-echo (HASTE) sequences between 28 and 35 weeks of gestation. US and MRI images were compared with pathologic findings or postnatal imaging. MRI diagnosed hydranencephaly (n=1), porencephaly (n=2), multicystic encephalomalacia (n=2), unilateral capsular ischemia (n=1), corpus callosum and cerebral atrophy (n=1). In comparison with US, visualization of fetal brain anomalies was superior with MRI. The present cases demonstrate that MRI is a valuable complementary means of investigation when a brain pathology is discovered or suspected during prenatal US.
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http://dx.doi.org/10.1002/pd.135 | DOI Listing |
Front Ophthalmol (Lausanne)
December 2024
Department of Ophthalmology & Visual Sciences, School of Medicine, Washington University in St. Louis, St Louis, MO, United States.
Background: Giant cell arteritis (GCA) is the most common vasculitis in patients older than 50 years and is considered a "do not miss" diagnosis. However, it remains a diagnostic challenge given overlapping clinical syndromes such as non-arteritic anterior ischemic optic neuropathy (NAION) and poorly explored imaging findings.
Materials And Methods: In this retrospective study between the time period of January 2013 and December 2021, a total of 13 consecutive patients with a pathological diagnosis of GCA and 8 patients with clinical diagnosis of NAION were isolated.
Germs
September 2024
MD, PhD, School of Medicine, University of Crete, 71003 Heraklion, Greece.
Introduction: Central nervous system (CNS) infection due to the varicella zoster virus (VZV) can complicate the primary infection or the reactivation, leading to significant mortality and morbidity. This study aimed to describe the clinical, laboratory, and radiological characteristics of patients with confirmed VZV CNS infection in a tertiary hospital in Greece.
Methods: Data about patients hospitalized from January 2018 to September 2023 with CNS infection by VZV, confirmed by a syndromic polymerase chain reaction in the cerebrospinal fluid (CSF), were retrospectively collected and evaluated.
J Surg Case Rep
January 2025
Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Neuroendocrine tumors (NENs) originate from neuroendocrine cells and predominantly occur in the gastrointestinal tract, lungs, and pancreas. Although the liver is commonly involved in NEN metastasis, primary hepatic neuroendocrine tumors (PHNETs) are rare. Herein, we report a case of a 52-year-old female who presented with slowly enlarging, cystic, multiple PHNETs.
View Article and Find Full Text PDFJ Chiropr Med
December 2024
Logan University, Chesterfield, Missouri.
Objective: The purpose of this case study was to report the management of a patient with posterior tibialis tendon injury concurrent with gender-affirming hormone therapy (GAHT).
Clinical Features: A 31-year-old transgender male presented to a chiropractic clinic with spontaneous, right medial foot pain following running that day. Medical history revealed bilateral congenital pes planus and intramuscular administration of testosterone for 8 years.
Eur Heart J Imaging Methods Pract
October 2024
Cardiologia 1-Emodinamica, Dipartimento Cardiotoracovascolare 'A. De Gasperis', ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements across multiple modalities, including echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance (CMR), interventional cardiology, nuclear medicine, and electrophysiology. This review explores the clinical applications of AI within each of these areas, highlighting its ability to improve patient selection, reduce image acquisition time, enhance image optimization, facilitate the integration of data from different imaging modality and clinical sources, improve diagnosis and risk stratification. Moreover, we illustrate both the advantages and the limitations of AI across these modalities, acknowledging that while AI can significantly aid in diagnosis, risk stratification, and workflow efficiency, it cannot replace the expertise of cardiologists.
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