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Motivations and perceptions for physical activity in women living with metastatic breast cancer: a qualitative interview study.
BMC Cancer
January 2025
The University of Sydney School of Health Sciences, Susan Wakil Health Building, Western Avenue, Camperdown, NSW, 2050, Australia.
Background: The beneficial role of physical activity for people living with cancer is well established. However, the importance of physical activity to women living with metastatic breast cancer is not known. As motivations and perceptions around physical activity influence behavioural uptake, a qualitative study was undertaken to explore the motivations and perceptions towards physical activity of this group.
View Article and Find Full Text PDFOligogenic effect is associated with the clinical heterogeneity of autosomal dominant deafness-15.
Sci Rep
January 2025
Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha, 410000, Hunan, China.
Autosomal dominant deafness-15 which is caused by mutation in the POU4F3 gene, has been reported with a wide degree of clinical heterogeneity, even between intrafamilial members. However, the reason is still elusive. In this study, A four-generation Chinese family with 11 patients manifesting late-onset progressive non-syndromic hearing loss was recruited.
View Article and Find Full Text PDFThe value of metagenomic next-generation sequencing in the diagnosis of fever of unknown origin.
Sci Rep
January 2025
Department of Clinical laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17, YongWaiZheng Street, Nanchang, 330006, China.
Fever of unknown origin (FUO) caused by infection is a disease state characterized by complex pathogens and remains a diagnostic dilemma. Metagenomic next-generation sequencing (mNGS) technology is a promising diagnostic tool for identifying pathogenic microbes of FUO caused by infection. Little is known about the clinical impact of mNGS in the etiological diagnosis of FUO.
View Article and Find Full Text PDFDifferentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis.
Sci Rep
January 2025
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
The conventional statistical approach for analyzing resting state functional MRI (rs-fMRI) data struggles to accurately distinguish between patients with multiple sclerosis (MS) and those with neuromyelitis optic spectrum disorders (NMOSD), highlighting the need for improved diagnostic efficacy. In this study, multilevel functional metrics including resting state functional connectivity, amplitude of low frequency fluctuation (ALFF), and regional homogeneity (ReHo) were calculated and extracted from 116 regions of interest in the anatomical automatic labeling atlas. Subsequently, classifiers were developed using different combinations of these selected features to distinguish between MS and NMOSD.
View Article and Find Full Text PDFA library of proton lineal energy spectra spanning the full range of clinically relevant energies.
Med Phys
January 2025
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.
Purpose: In locations where the proton energy spectrum is broad, lineal energy spectrum-based proton biological effects models may be more accurate than dose-averaged linear energy transfer (LET) based models. However, the development of microdosimetric spectrum-based biological effects models is hampered by the extreme computational difficulty of calculating microdosimetric spectra. Given a precomputed library of lineal energy spectra for monoenergetic protons, a weighted summation can be performed which yields the lineal energy spectrum of an arbitrary polyenergetic beam.
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