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Lymphology
January 2024
Medical Oncology Department, UZ Brussel, Brussels, Belgium.
Accurate quantitative assessments are crucial to understanding development of diseases and their effective treatments. Various validated perimetry and volumetry measurement methods for patients with lymphedema exist and each has its own advantages and limitations and choosing the right instrument is essential. PeriKit® (PK) is a new measurement device that requires validation.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Ankara University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey.
Importance: Clinical trials are vital for advancing cancer treatments and improving patient outcomes. Understanding the factors that influence participants' decision-making is critical for enhancing trial recruitment.
Objective: To evaluate the attitudes of patients with cancer and their relatives toward clinical trial participation, identifying key barriers and motivators that affect their willingness to engage in such trials.
JAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
Asian Pac J Cancer Prev
January 2025
Cancer Foundation of India, Kolkata, West Bengal, India.
Objective: The case-control study aims to identify the potential risk and protective factors contributing to breast cancer risk in the high-incidence Aizawl population and the low-incidence Agartala population, using age-specific prevalence data of established reproductive factors and body mass index (BMI) among healthy women.
Methods: A risk profile survey was conducted on asymptomatic women aged 30-64 in Aizawl and Agartala towns. Data was analysed using SPSS software.
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