Architectural distortion is the third most-common appearance of breast cancer and often is a subtle finding on mammography. In this article, we review a variety of breast diseases that may present as architectural distortion on mammography; review the utility of correlative imaging, such as ultrasound and magnetic resonance; and review appropriate management for these diagnoses. Primary causes include breast cancer, ductal carcinoma in situ, radial scar, complex sclerosing lesion, and fat necrosis. Secondary etiologies include previous breast surgery, trauma, and infection. Familiarity with imaging findings presenting as distortion on multimodality imaging will optimize detection and management of this subtle-yet-significant finding.
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http://dx.doi.org/10.1053/j.sult.2011.03.008 | DOI Listing |
Sensors (Basel)
January 2025
Free-Space Optical Communication Technology Research Center, Harbin Institute of Technology, Harbin 150001, China.
To achieve real-time deep learning wavefront sensing (DLWFS) of dynamic random wavefront distortions induced by atmospheric turbulence, this study proposes an enhanced wavefront sensing neural network (WFSNet) based on convolutional neural networks (CNN). We introduce a novel multi-objective neural architecture search (MNAS) method designed to attain Pareto optimality in terms of error and floating-point operations (FLOPs) for the WFSNet. Utilizing EfficientNet-B0 prototypes, we propose a WFSNet with enhanced neural architecture which significantly reduces computational costs by 80% while improving wavefront sensing accuracy by 22%.
View Article and Find Full Text PDFCurr Probl Diagn Radiol
December 2024
Chief Physician, No.215 Heping West Road, Second Hospital of Hebei Medical University, Xinhua District, Hebei Province China. Electronic address:
Background: Distinguishing between benign and malignant pulmonary nodules based on CT imaging features such as the spiculation sign and/or lobulation sign remains challenging and these nodules are often misinterpreted as malignant tumors. this retrospective study aimed to develop a prediction model to estimate the likelihood of benign and malignant lung nodules exhibiting spiculation and/or lobulation signs.
Methods: A total of 500 patients with pulmonary nodules from June 2022 to August 2024 were retrospectively analyzed.
Sci Adv
January 2025
The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Controlling the reactivity of bonds along polymer chains enables both functionalization and deconstruction with relevance to chemical recycling and circularity. Because the substrate is a macromolecule, however, understanding the effects of chain conformation on the reactivity of polymer bonds emerges as important yet underexplored. Here, we show how oxy-functionalization of chemically recyclable condensation polymers affects acidolysis to monomers through control over distortion and interaction energies in the rate-limiting transition states.
View Article and Find Full Text PDFIEEE/ACM Trans Audio Speech Lang Process
February 2024
CRSS: Center for Robust Speech Systems; Cochlear Implant Processing Laboratory (CILab), Department of Electrical and Computer Engineering, University of Texas at Dallas, USA.
The presence of background noise or competing talkers is one of the main communication challenges for cochlear implant (CI) users in speech understanding in naturalistic spaces. These external factors distort the time-frequency (T-F) content including magnitude spectrum and phase of speech signals. While most existing speech enhancement (SE) solutions focus solely on enhancing the magnitude response, recent research highlights the importance of phase in perceptual speech quality.
View Article and Find Full Text PDFPhysiol Meas
January 2025
Faculty of Sciences, University of Coimbra, Palacio de las Escuelas 3004-531, Coimbra, 3004-504, PORTUGAL.
Objective: The detection of arterial pulsating signals at the skin periphery with Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the alternatives to the aid of PPG reconstruction with movement sensors (accelerometer and/or gyroscope) which to date have demonstrated the best pulsating signal reconstruction.
Approach: A generative adversarial network with fully connected layers (FC-GAN) is proposed for the reconstruction of distorted PPG signals.
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