Purpose: Ga-Trivehexin is a PET tracer targeting αvβ6-integrin, a transmembrane receptor that is frequently expressed by pancreatic cancer cells. This study aimed to determine the biokinetics, image contrast, and acquisition parameters for Ga-Trivehexin PET imaging in pancreatic cancers.
Methods: 44 patients with pancreatic cancer underwent Trivehexin PET/CT between June 2021 and November 2022 (EK-242052023).
Context: Tethered cord syndrome is associated with motor and sensory deficits.
Objective: Our objective was to summarize evidence regarding the diagnosis, prophylactic surgery, symptomatic treatment, and repeat surgery of tethered spinal cord in a systematic review (CRD42023461296).
Data Sources And Study Selection: We searched 13 databases, reference-mined reviews, and contacted authors to identify diagnostic accuracy studies and treatment studies published until March 2024.
Deep learning applications in taxonomic classification for animals and plants from images have become popular, while those for microorganisms are still lagging behind. Our study investigated the potential of deep learning for the taxonomic classification of hundreds of filamentous fungi from colony images, which is typically a task that requires specialized knowledge. We isolated soil fungi, annotated their taxonomy using standard molecular barcode techniques, and took images of the fungal colonies grown in petri dishes ( = 606).
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