Recent advances in digital breast tomosynthesis (DBT) technology were focused on the reconstruction of 2D "Synthesized Mammograms" (SMs) from DBT dataset. The introduction of SMs could avoid an additional digital mammography (DM) which is often required in complement to DBT examinations. Therefore, breast absorbed dose and compression time can be significantly reduced in DBT+SM procedures with respect to DBT+DM modality. However, to date, a limited number of studies have objectively characterised the image quality of SMs with respect to DM images. Therefore, the aim of this phantom study was to comprehensively compare SMs and DM images in terms of several image quality parameters. A Selenia Dimensions system (Hologic, Bedford, Mass, USA) was employed in this work. Five different phantoms were adopted to study noise, contrast and spatial resolution properties of the images. Specifically, noise power spectrum (NPS), maps of signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), modulation transfer function (MTF) and contrast-detail (CD) thresholds were evaluated both for SM and DM modalities. SMs were characterised by different texture, noise and SNR spatial distribution properties with respect to DM images. Additionally, while in some conditions SM provides higher CNR than DM, lower overall performances in terms spatial resolution and CD curves were found in comparison to DM images. Therefore, given the great benefits of SMs in terms of dose and compression time saving, further clinical investigations on SMs image quality properties could be of practical interest to integrate our findings.
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http://dx.doi.org/10.1007/s13246-019-00816-8 | DOI Listing |
Ann Med
December 2025
Department of Joint and Sports Medicine, Zhongnan Hospital, Wuhan University, Wuhan, China.
As life expectancy among patients infected with the human immunodeficiency virus (HIV) increases, a growing number of complications have been observed. This population displays an elevated risk of ischemic necrosis of the femoral head in comparison to the general population, which may be attributed to HIV infection, antiretroviral medication use, and hormone application. Patients infected with the human immunodeficiency virus (HIV) who also have necrosis of the femoral head tend to present at an earlier age, with a rapid disease progression and a high incidence of bilateral onset.
View Article and Find Full Text PDFJAMA Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
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View Article and Find Full Text PDFQual Life Res
January 2025
Centre of General Practice, Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Purpose: MMQ1 is a Danish-language patient-reported outcome measure (PROM) for quality of life (QOL) in people with multiple long-term conditions (MLTC). It measures needs-based QOL across six scales: Physical ability, Concerns and worries, Limitations in daily life, Social life, Personal finances and Self-image. There is currently no such measure available in English.
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January 2025
Department of Surgery, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands.
Since the adoption of neoadjuvant chemoradiation and total mesorectal excision as the standard in rectal cancer care, there has been marked improvement in the local recurrence rates. In this context, restaging magnetic resonance imaging (MRI) plays a key role in the assessment of tumor response, occasionally enabling organ-sparing approaches. However, the role of restaging MRI in evaluating lateral lymph nodes remains limited.
View Article and Find Full Text PDFMed Biol Eng Comput
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Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
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