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Proteoform Identification and Quantification Based on Alignment Graphs.
Bioinformatics
January 2025
Department of Computer Science, City University of Hong Kong, Hong Kong, China.
Motivation: Proteoforms are the different forms of a proteins generated from the genome with various sequence variations, splice isoforms, and post-translational modifications. Proteoforms regulate protein structures and functions. A single protein can have multiple proteoforms due to different modification sites.
View Article and Find Full Text PDFCorrection: Quantification of [Tc]Tc-HDP bone SPECT/CT: can we improve the body weight based standardized uptake value with a more robust normalization?
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January 2025
Department of Nuclear Medicine, Cantonal Hospital Baden, Affiliated Hospital for Research and Teaching of the Faculty of Medicine, University of Zurich, Baden, Switzerland.
Biomarkers.
Alzheimers Dement
December 2024
Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of (South).
Background: Normative percentile (NP) quantifies brain atrophy by comparing regional brain volumes of a subject against age and sex-matched cognitively normal populations. Accurate intracranial volume (ICV) adjustment is vital in NP quantification to minimize the effect of an individual's head size. However, which intracranial volume adjustment method yields reliable normative percentiles remains unclear.
View Article and Find Full Text PDFBackground: New generation PET scanners achieve superior resolution and sensitivity, but the implications on beta amyloid (Aβ) quantitation are not well understood. The Centiloid (CL) scale (Klunk et al., 2015) was introduced to promote consistent Aβ burden quantification across different positron emission tomography (PET) tracers and quantification pipelines, but was not intended to control for hardware or reconstruction changes.
View Article and Find Full Text PDFBiomarkers.
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USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Background: Diagnosis of cerebral amyloid angiopathy (CAA) presents a significant challenge in determining whether to propose anti-amyloid treatment plans. The identification of perivascular spaces (PVS) through MRI serves as a possible strategy to elucidate the physiopathological interconnections between the brain's clearance mechanisms and the accumulation of amyloid. This study endeavors to the association between PVS morphology and CAA pathology.
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