Positron emission tomography (PET) imaging with 2-[(18)F]fluoro-2-deoxy-D-glucose (FDG) forms the basis of molecular imaging. FDG-PET imaging is a multidisciplinary undertaking that requires close interdisciplinary collaboration in a broad team comprising physicians, technologists, secretaries, radio-chemists, hospital physicists, molecular biologists, engineers, and cyclotron technicians. The aim of this review is to provide a brief overview of important basic issues and considerations pivotal to successful patient examinations, including basic physics, instrumentation, radiochemistry, molecular and cell biology, patient preparation, normal distribution of tracer, and potential interpretive pitfalls.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.cpet.2014.07.006 | DOI Listing |
Psychol Aging
February 2025
Wilhelm Wundt Institute of Psychology, Leipzig University.
In this editorial, I outline two key changes to the submission guidelines, and I present my vision as the new editor for Psychology and Aging, the premier outlet for psychological research on aging and adult lifespan development. To enhance the impact of research published in the journal, my editorial team and I will accept articles that make strong theoretical contributions, are methodologically rigorous and transparent, use open science practices, contribute cumulative knowledge to the field, and have important practical implications. We will continue to publish high-quality empirical articles, systematic reviews, and meta-analyses, as well as theory development and methodological articles from all areas of psychology and related disciplines that focus on basic principles of aging and adult lifespan development or that investigate these principles in applied settings.
View Article and Find Full Text PDFAdv Biotechnol (Singap)
October 2024
State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Agriculture and Biotechnology, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.
The principle of the "growth-defense trade-off" governs how plants adjust their growth and defensive strategies in response to external factors, impacting interactions among plants, herbivorous insects, and their natural enemies. Mineral nutrients are crucial in modulating plant growth and development through their bottom-up effects. Emerging evidence has revealed complex regulatory networks that link mineral nutrients to plant defense responses, influencing the delicate balance between growth and defense against herbivores.
View Article and Find Full Text PDFExpert Opin Drug Deliv
January 2025
School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning, China.
Introduction: Transdermal patches offer a unique advantage by providing extended therapeutic benefits while maintaining stable plasma drug concentration. The efficacy and safety of patches depend significantly on their ability to adhere to the skin, a feature influenced by various external and internal factors.
Areas Covered: The review primarily focuses on the fundamental aspects of adhesion in transdermal patches, including basic information about the skin, the underlying principles of adhesion, drug delivery, and adhesion characteristics of pressure sensitive adhesives (PSAs), adhesion issues, impact factors, strategies to improve patch adhesion, and relevant molecular mechanisms.
J Exp Clin Cancer Res
January 2025
Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Background: Colorectal cancer (CRC) has high incidence and mortality rates, with severe prognoses during invasion and metastasis stages. Despite advancements in diagnostic and therapeutic technologies, the impact of the tumour microenvironment, particularly extracellular matrix (ECM) stiffness, on CRC progression and metastasis is not fully understood.
Methods: This study included 107 CRC patients.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!