Objective: To compare the sensitivity and specificity of the traditional triple assessment of symptomatic breast lesions with contrast-enhanced dynamic magnetic resonance imaging.
Background: Although triple assessment is currently the gold standard for the assessment of symptomatic breast disease, its specificity is such that open biopsies are still required in many cases to be confident of the diagnosis. Contrast-enhanced dynamic magnetic resonance imaging of the breast represents an alternative diagnostic modality.
Methods: Patients were recruited from the symptomatic breast clinics. If any of the diagnostic modalities suggested malignancy, the lesion was excised. The remaining patients were followed clinically and radiologically.
Results: Two hundred eighty-five patients with a mean age of 43 years (range 21 to 77) were recruited. Malignant lesions were excised in 131 patients and benign lesions in 55 patients. The 99 patients who did not undergo surgery were followed clinically and radiologically for a median of 20 months. The sensitivity of each modality was as follows: clinical examination 84%, mammography 87.6%, fine-needle aspiration cytology 79.1%, triple assessment 99.2%, and magnetic resonance imaging 99.2%. In addition, histologically confirmed multifocal disease was detected in 40 patients on magnetic resonance imaging but in only 9 (22.5%) on mammography. The specificity for the diagnosis of benign disease was as follows: clinical examination 83.1%, ultrasound 88.9%, mammography 86.4%, fine-needle aspiration cytology 97%, triple assessment 59.1%, and magnetic resonance imaging 90.9%.
Conclusion: Contrast-enhanced dynamic magnetic resonance imaging of the breast is as sensitive and more specific than the combined traditional triple assessment for the diagnosis of malignant breast lesions.
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http://dx.doi.org/10.1097/00000658-199911000-00010 | DOI Listing |
JAMA Netw Open
January 2025
Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Importance: Baseline cerebral microbleeds (CMBs) and APOE ε4 allele copy number are important risk factors for amyloid-related imaging abnormalities in patients with Alzheimer disease (AD) receiving therapies to lower amyloid-β plaque levels.
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Acta Neurol Belg
January 2025
Department of Radiology, Health Sciences University Gulhane Faculty of Medicine, Ankara, Turkey.
Background: Trigeminal neuralgia is a disease characterized by severe facial pain that significantly reduces patients quality of life. Trigeminal neuralgia is subcategorized as idiopathic, classic or secondary. Magnetic resonance imaging is the basis for classification, but neurophysiological tests are also used.
View Article and Find Full Text PDFJ Biomol NMR
January 2025
Department of Chemistry "Ugo Schiff" and Magnetic Resonance Center (CERM), University of Florence, Florence, Italy.
Intrinsically disordered proteins and protein regions are central to many biological processes but difficult to characterize at atomic resolution. Nuclear magnetic resonance is particularly well-suited for providing structural and dynamical information on intrinsically disordered proteins, but existing NMR methodologies need to be constantly refined to provide greater sensitivity and resolution, particularly to capitalise on the potential of high magnetic fields to investigate large proteins. In this paper, we describe how N-detected 2D NMR experiments can be optimised for better performance.
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.
Purpose: Identification of the molecular subtypes in breast cancer allows to optimize treatment strategies, but usually requires invasive needle biopsy. Recently, non-invasive imaging has emerged as promising means to classify them. Magnetic resonance imaging is often used for this purpose because it is three-dimensional and highly informative.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
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