Rationale And Objectives: Enhancement characteristics after administration of a contrast agent are regarded as a major criterion for differential diagnosis in magnetic resonance mammography (MRM). However, no consensus exists about the best measurement method to assess contrast enhancement kinetics. This systematic investigation was performed to compare visual estimation with manual region of interest (ROI) and computer-aided diagnosis (CAD) analysis for time curve measurements in MRM.
Materials And Methods: A total of 329 patients undergoing surgery after MRM (1.5 T) were analyzed prospectively. Dynamic data were measured using visual estimation, including ROI as well as CAD methods, and classified depending on initial signal increase and delayed enhancement.
Results: Pathology revealed 469 lesions (279 malignant, 190 benign). Kappa agreement between the methods ranged from 0.78 to 0.81. Diagnostic accuracies of 74.4% (visual), 75.7% (ROI), and 76.6% (CAD) were found without statistical significant differences.
Conclusions: According to our results, curve type measurements are useful as a diagnostic criterion in breast lesions irrespective of the method used.
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http://dx.doi.org/10.1016/j.acra.2009.03.017 | DOI Listing |
PLoS One
January 2025
Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Background: Glioblastoma is characterized by neovascularization and diffuse infiltration into the adjacent tissue. T2*-based dynamic susceptibility contrast (DSC) MR perfusion images provide useful measurements of the biomarkers associated with tumor perfusion. This study aimed to distinguish infiltrating tumors from vasogenic edema in glioblastomas using DSC-MR perfusion images.
View Article and Find Full Text PDFEClinicalMedicine
January 2025
School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Background: Discrete choice experiments (DCEs) are increasingly used to inform the design of health products and services. It is essential to understand the extent to which DCEs provide reliable predictions outside of experimental settings in real-world decision-making situations. We aimed to compare the prediction accuracy of stated preferences with real-world choices, as modelled from DCE data.
View Article and Find Full Text PDFCardiovasc Diagn Ther
December 2024
Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou, China.
Background: About 30% of ischemic strokes do not have a clear cause, which is called cryptogenic stroke (CS). Increasing evidence suggests a potential link between CS and right-to-left shunt (RLS). RLS may lead to CS via paradoxical embolic mechanism.
View Article and Find Full Text PDFCardiovasc Diagn Ther
December 2024
Department of Cardiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Engineering Research Center of Cardiovascular Wisdom Diagnosis and Treatment, Beijing, China.
Background: The prevalence of very high-risk atherosclerotic cardiovascular disease (ASCVD) is significant in China, with suboptimal rates of low-density lipoprotein cholesterol (LDL-C) compliance exacerbating plaque instability and causing a higher incidence of major adverse cardiac events (MACEs). Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) are effective in reducing LDL-C levels, increase the stability of vulnerable plaque, and influence the progression of atherosclerosis through multiple mechanisms as demonstrated in animal studies. However, there is currently a lack of evidence regarding the efficacy and safety of high-intensity statin therapy combined with PCSK9i in the secondary prevention of ASCVD in the Chinese population.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus, Groningen, 30001 - 9700 RB, the Netherlands.
Background: Glycogen storage disease (GSD) Ia is an ultra-rare inherited disorder of carbohydrate metabolism. Patients often present in the first months of life with fasting hypoketotic hypoglycemia and hepatomegaly. The diagnosis of GSD Ia relies on a combination of different biomarkers, mostly routine clinical chemical markers and subsequent genetic confirmation.
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