Inflammatory bowel diseases (IBD) are a group of chronic inflammatory intestinal conditions with unknown etiology. Crohn's disease (CD) and ulcerative colitis (UC) are the two main types of IBD and they have some interchangeable and some different clinical and pathological characteristics. When diagnosis is performed for the first time, the majority of CD patients have a predominant inflammatory condition. As the disease progresses most patients experience the development of complications, such as abscesses, fistulas, perforation, strictures, and others. Both computed tomography (CT) and Magnetic Resonance Imaging (MRI) allow great view of the whole length of the intestinal tract together with the eventual extra-and intra-intestinal complications. MR enterography (MRE) and CT enterography (CTE), performed after oral administrations of contrast medium, have similar diagnostic accuracy for the diagnosis of CD and its complications. Even though CT is still the most familiar diagnostic technique used for studying CD worldwide, MRE have several important benefits that are leading to rapid increase in its employment in the last years. In particular, MRE allows a superior soft tissue contrast resolution compared to CT, offering a better visualization of bowel wall and its inflammatory and fibrotic characteristics. Moreover, Pelvic Magnetic Resonance is the principal technique in patients with perianal disease due to its ability of providing precise and fine detail images of the sphincter complex, which are crucial for evaluating pelvic disease. In this paper we describe common and uncommon complications in patients with CD, and explain how to identify their findings in CT and MR exams.
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http://dx.doi.org/10.1016/j.acra.2021.07.025 | DOI Listing |
Hum Brain Mapp
January 2025
Department of Psychology, Concordia University, Montreal, Quebec, Canada.
The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and II to prefrontal regions. This differential connectivity pattern leads to the hypothesis that individual differences in structure should be related, especially for connected regions.
View Article and Find Full Text PDFJACC Adv
January 2025
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Little is known about the associations between choline metabolites (total choline, phosphatidylcholine, and glycine) and the incidence of heart failure (HF).
Objectives: The purpose of this study was to assess the associations of choline metabolites with incident HF and examine the effect modification by genetic susceptibility.
Methods: This prospective cohort study followed 245,072 participants from the UK Biobank from baseline (2006-2010) until March 30, 2023.
Cureus
December 2024
Department of Pediatrics, Division of Neonatology, Blythedale Children's Hospital, Valhalla, USA.
Retroperitoneal teratomas are rare neoplasms in neonates, presenting with nonspecific symptoms and variable clinical features, making diagnosis challenging. Radiological investigations, particularly fetal ultrasound and contrast-enhanced computed tomography, play a critical role in their detection. Differential diagnoses include neuroblastoma, adrenal hemorrhage, and congenital cystic lesions, which share overlapping clinical and imaging features.
View Article and Find Full Text PDFCureus
December 2024
Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.
View Article and Find Full Text PDFNeurooncol Adv
December 2024
Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Background: Intrathecal (IT) chemotherapy is essential in treating hematological malignancies, but it can lead to ascending paraplegia, a condition that currently lacks clear management guidelines.
Methods: We conducted a systematic review, analyzing 1219 studies and 116 patients, adhering to PRISMA guidelines for individual patient data. The study, registered under PROSPERO (CRD42022362121), focused on the onset, diagnostic approaches, and therapeutic interventions associated with this complication, and management strategies to tackle the ascending paraplegia.
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