Over the last two decades, patient engagement in cancer research has evolved significantly, especially in addressing the unique challenges faced by adolescent and young adult (AYA) cancer populations. This paper introduces a framework for meaningful engagement with AYA cancer patient research partners, drawing insights from the "FUTURE" Study, a qualitative study that utilizes focus groups to explore the impact of cancer diagnosis and treatment on the sexual and reproductive health of AYA cancer patients in Canada. The framework's development integrates insights from prior works and addresses challenges with patient engagement in research specific to AYA cancer populations.
View Article and Find Full Text PDFBackground: Sexual health outcomes (SHO), which entail the physical, emotional, mental, and social impacts, are an important consideration for adolescent and young adults (AYA, ages 15-39) affected by cancer. The objective of this systematic review and meta-analysis is to summarize the current literature and evaluate AYA cancer impact on SHO.
Methods: EMBASE and MEDLINE were searched from January 1, 2000 to September 28, 2022 to identify epidemiologic studies that used an analytic observational design, included individuals with AYA cancer and non-cancer control participants, and evaluated SHO.
Background: This systematic review and meta-analysis (SRMA) aimed to synthesize the current literature on the impacts of adolescent and young adult (AYA, ages 15-39 years) cancer on reproductive health outcomes.
Methods: EMBASE and Medline were searched from 1 January 2000 to 26 January 2022 for observational studies that included individuals with AYA cancer and controls which evaluated reproductive health outcomes. We used random effects models and 95% confidence intervals to obtain pooled measures of associations between AYA cancer, cancer treatment, and reproductive health outcomes.
Background: Pelvic cancers are among the most common cancers, impacting millions of individuals worldwide annually. However, little is known about the impact of more rare pelvic cancers on the sexual health of females.
Aim: In this study we explored sexual health experiences of female pelvic cancer survivors (FPCS) and their healthcare providers (HCP) in order to identify the most salient impacts of pelvic cancer on sexual function.
Research suggests that colorectal cancer (CRC) is associated with mental health disorders, primarily anxiety and depression. To synthesize this evidence, we conducted a systematic review and meta-analysis of studies evaluating the onset of anxiety and depression among patients with CRC. We searched EMBASE and Medline from inception to June 2022.
View Article and Find Full Text PDFCOVID-19 pandemic has led to heightened moral distress among healthcare providers. Despite evidence of gendered differences in experiences, there is limited feminist analysis of moral distress. To identify types of moral distress among women healthcare providers during the COVID-19 pandemic; to explore how feminist political economy might be integrated into the study of moral distress.
View Article and Find Full Text PDFObjective: To explore midwives' experiences working on the frontlines of the COVID-19 pandemic in British Columbia, Canada.
Design: Qualitative study involving three semi-structured focus groups and four in-depth interviews with midwives.
Setting: The COVID-19 pandemic in British Columbia, Canada from 2020-2021.
Given the increasing incidence of young-onset colorectal cancer (yCRC; <50 years), we aimed to evaluate the risk of depression and anxiety in individuals with yCRC in comparison to average-age-onset CRC (aCRC; ≥50 years) and to cancer-free controls, with stratification by sex. Our cohort study identified individuals (≥18 years) with CRC and cancer-free controls (10:1) matched on age and sex using population-based linked administrative health databases in British Columbia, Canada. We assessed depression and anxiety using validated algorithms.
View Article and Find Full Text PDFBackground: Throughout the COVID-19 pandemic, as measures have been taken to both prevent the spread of COVID-19 and provide care to those who fall ill, healthcare workers have faced added risks to their health and wellbeing. These risks are disproportionately felt by women healthcare workers, yet health policies do not always take a gendered approach.
Objectives: The objective of this review was to identify the gendered effects of crises on women healthcare workers' health and wellbeing, as well as to provide guidance for decision-makers on health systems policies and programs that could better support women healthcare workers.
Background: The aim of this work was to assess the robustness of cardiac SPECT radiomic features against changes in imaging settings, including acquisition, and reconstruction parameters.
Methods: Four commercial SPECT and SPECT/CT cameras were used to acquire images of a static cardiac phantom mimicking typical myorcardial perfusion imaging using 185 MBq of Tc. The effects of different image acquisition and reconstruction parameters, including number of views, view matrix size, attenuation correction, as well as image reconstruction related parameters (algorithm, number of iterations, number of subsets, type of post-reconstruction filter, and its associated parameters, including filter order and cut-off frequency) were studied.
Purpose: To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade.
Materials And Methods: Seventy-one ccRCC patients (31 low grade and 40 high grade) were included in this study. Tumors were manually segmented on CT images followed by the application of three image preprocessing techniques (Laplacian of Gaussian, wavelet filter, and discretization of the intensity values) on delineated tumor volumes.
Segmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction. However, the automatic LV segmentation in 2D echocardiographic images is a challenging task due to ill-defined borders, and operator dependence issues (insufficient reproducibility). U-net, which is a well-known architecture in medical image segmentation, addressed this problem through an encoder-decoder path.
View Article and Find Full Text PDFBackground: This study aimed to predict methylation status of the O methylguanine-DNA methyltransferase (MGMT) gene promoter status by using magnetic resonance imaging radiomics features, as well as univariate and multivariate analysis.
Methods: Eighty-two patients who had an MGMT methylation status were included in this study. Tumors were manually segmented in the 4 regions of magnetic resonance images, 1) whole tumor, 2) active/enhanced region, 3) necrotic regions, and 4) edema regions.