Although the diagnosis of arthritis and spondyloarthritis is based on clinical criteria, today the imaging methods are an indispensable aid to the rheumatologist. Imaging has not only the task of helping early diagnosis, but it has also a fundamental role in disease grading and therapeutic monitoring. In this scenario where many publications emphasize the importance of identifying synovitis and erosions at an early stage, it is essential to know the possible pitfalls which can determine both false positives and false negatives. The high variability of the musculoskeletal system anatomy makes it necessary to have a correct knowledge of all anatomical complexes, in order not to confuse them with the pathology. Moreover, the correct and standardized method of the execution and interpretation of the exams, such as ultrasound, is crucial to identifying and correctly monitoring the pathological hallmarks of the arthritis. This paper aims to provide an instrument to radiologists, highlighting the main imaging pitfalls in ultrasound and magnetic resonance which may be encountered in daily practice.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11547-019-01017-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Image-guided biopsy of clinically occult nipple lesions: techniques and learning points.
Quant Imaging Med Surg
January 2025
Department of Radiology, Changi General Hospital, Singapore, Singapore.
Percutaneous biopsy is the standard of care for breast lesions, except nipple lesions which are primarily biopsied by excision due to perceived risks of pain and bleeding. However, excisional biopsy of nipple lesion inevitably leads to disfigurement and possible loss of the nipple-areolar complex (NAC), highlighting the need for minimally invasive biopsy techniques. We present our experience of seven patients who underwent ultrasound-guided core biopsy or vacuum-assisted biopsy (VAB) for sampling of clinically occult nipple lesions.
View Article and Find Full Text PDFNavigating the Waves of Critical Care Echocardiography: Unveiling its Role, Advantages, and Pitfalls in the Cardiac Intensive Care Unit.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Disease, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Critical Care Echocardiography (CCE) is now established as an important tool in the intensive care unit (ICU). This paper aims to examine the expanding role of cardiovascular ultrasound in the ICU, focusing on its applications, benefits, and challenges, while highlighting recent advancements shaping the future of critical care echocardiography.
Recent Findings: Non-invasive echocardiographic measurement of hemodynamic parameters including stroke volume, cardiac output, left ventricular filling pressures, and pulmonary pressures have been well-validated against invasive measurements.
Neuroendocrine tumour of the urinary bladder.
BMJ Case Rep
January 2025
Royal Derby Hospital, Derby, UK.
We report a rare case of urinary bladder neuroendocrine tumour (NET) in a young, non-smoking man. He had no known risk factors and no comorbidities. After being diagnosed with a bladder tumour while being investigated for flank pain and poor renal function, he was treated with transurethral resection of the bladder tumour and deroofing of ureters bilaterally.
View Article and Find Full Text PDFNavigating Artificial Intelligence in Scientific Manuscript Writing: Tips and Traps.
Indian J Radiol Imaging
January 2025
Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
It is being increasingly recognized that the strategic use of artificial intelligence (AI) can catalyze the process of manuscript writing. However, it is imperative that we recognize the hidden biases, pitfalls, and disadvantages of relying solely on AI, such as accuracy concerns and the potential erosion of nuanced human insight. With an emphasis on crafting effective prompts and inputs, this article reveals how to navigate the labyrinth of AI capabilities to create a good-quality manuscript.
View Article and Find Full Text PDFRad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics.
Comput Methods Programs Biomed
January 2025
Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, 90127, Italy. Electronic address:
Article Synopsis
- Machine learning-based clinical decision support systems (CDSS) face challenges with transparency and reliability, as explainability often reduces predictive accuracy.
- A novel method called Rad4XCNN enhances the predictive power of CNN features while maintaining interpretability through Radiomics, moving beyond traditional saliency maps.
- In breast cancer classification tasks, Rad4XCNN demonstrates superior accuracy compared to other feature types and allows for global insights, effectively addressing the explainability-accuracy trade-off in AI models.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!