Objective: The purpose of this study was to determine the characteristics and phenomena of duplication (or mirror) images in vascular sonography.
Methods: We retrospectively reviewed 5 cases of vascular sonography that produced duplication images performed between June 30, 2009, and January 10, 2010. The 5 vascular studies included the subclavian artery (2), subclavian vein (1), carotid artery (1), and abdominal aorta (1). The characteristics of the color flow images and spectral Doppler waveforms in the artifactual vessels and in the true vessels were analyzed. Sources and mechanisms of producing duplication images were assessed.
Results: We were able to generate color flows in the artifactual vessels that were the same as in the true vessels in 2 cases. However, we were able to generate images in which the apparent flow directions in the artifactual vessels differed from the actual flow observed in the true vessels in all 5 cases by changing the orientation of the ultrasound beam relative to the true flow and the reflecting surface.
Conclusions: Duplication images result from mirror reflections producing multipath artifacts. The appearance of the flow in an artifactual vessel on color Doppler imaging strongly depends on the angle of the incident sound beam and the surface structure of the strong reflector relative to the flow in the true vessel. Alternating the scanning plane and the angle of the incident sound beam to the reflector may help distinguish a duplication artifact from a true vessel in ambiguous cases.
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http://dx.doi.org/10.7863/jum.2010.29.10.1385 | DOI Listing |
Diagnostics (Basel)
December 2024
Facultad de Ingeniería de Sistemas e Informática, Universidad Nacional Mayor de San Marcos (UNMSM), Lima 15081, Peru.
Objectives: This review aims to evaluate several convolutional neural network (CNN) models applied to breast cancer detection, to identify and categorize CNN variants in recent studies, and to analyze their specific strengths, limitations, and challenges.
Methods: Using PRISMA methodology, this review examines studies that focus on deep learning techniques, specifically CNN, for breast cancer detection. Inclusion criteria encompassed studies from the past five years, with duplicates and those unrelated to breast cancer excluded.
Brain Sci
November 2024
Laser Physics Laboratory, University of Rennes, 35042 Rennes Cedex, France.
Acoustic noise is known to perturb reading for good readers, including children and adults. This external acoustic noise interfering at the multimodal areas in the brain causes difficulties reducing reading and writing performances. Moreover, it is known that people with developmental coordination disorder (DCD) and dyslexia have reading deficits even in the absence of acoustic noise.
View Article and Find Full Text PDFGenetic studies on the protist, provide a glimpse into the unexpectedly rich world of intracellular patterning that unfolds within the ciliate cell cortex. Ciliate pattern studies provide a useful counterpoint to animal models of pattern formation in that the unicellular model draws attention away from fields of cells (or nuclei) as the principal players in the metazoan pattern paradigm, focusing instead on fields of ciliated basal bodies serving as sources of positional information. In this study, we identify , a Polo kinase of , that serves as an important factor driving global, circumferential pattern.
View Article and Find Full Text PDFBJU Int
January 2025
Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Objective: To perform a systematic review and meta-analysis to assess the relationship between intraprostatic maximum standardised uptake value (SUV) of the dominant prostatic lesion as measured on preoperative prostate-specific membrane antigen (PSMA) positron emission tomography (PET) with radical prostatectomy International Society of Urological Pathology (ISUP) Grade Group, pathological tumour (pT) staging, and biochemical recurrence (BCR).
Methods: Prostate-specific membrane antigen PET may offer non-invasive assessment of histopathological and oncological outcomes before definitive treatment. SUV of the dominant lesion has been explored as a prognostic biomarker.
Eur J Neurol
January 2025
Folkhalsan Research Center, Helsinki, Finland.
Background: myotilinopathy is a very rare inherited muscle disease that belongs to the group of myofibrillar myopathies. These diseases share a common alteration of the sarcomere organization at the level of the Z disk resulting in pathological protein aggregation, autophagic abnormalities, and ultimately muscle degeneration. Most reported cases are due to dominant missense mutations in the MYOT gene, two of which are largely recurrent.
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