Publications by authors named "A Al Nimer"
Dynamics in Quality of Life of Breast Cancer Patients Following Breast-Conserving Surgery Versus Mastectomy: Protocol for Systematic Review and Meta-Analysis.
Healthcare (Basel)
November 2024
Article Synopsis
- Quality of life (QoL) in female breast cancer patients is dynamic and can change over time, influenced by various factors, yet current literature on predicting QoL is limited.
- The proposed meta-analysis will systematically review studies assessing QoL through commonly used questionnaires for women who have undergone mastectomy or breast-conserving surgery, focusing on mental status, physical functioning, and social interactions.
- The research will extract key information about participants (like age and surgery type) to analyze trends in QoL scores and identify predictors that may help stratify patients at risk for significant QoL decline.
Article Synopsis
- Dietary fatty acids are linked to obesity-related nonalcoholic fatty liver disease and can cause health complications like insulin resistance and cardiovascular issues.
- Lifestyle changes and drug treatments targeting lipotoxicity are crucial for preventing related health problems.
- A Mediterranean diet rich in olive oil, which is high in monounsaturated fatty acids, shows potential benefits for liver health and metabolic function by improving insulin resistance and gut microbiota diversity.
Challenges with segmenting intraoperative ultrasound for brain tumours.
Acta Neurochir (Wien)
August 2024
Objective - Addressing the challenges that come with identifying and delineating brain tumours in intraoperative ultrasound. Our goal is to both qualitatively and quantitatively assess the interobserver variation, amongst experienced neuro-oncological intraoperative ultrasound users (neurosurgeons and neuroradiologists), in detecting and segmenting brain tumours on ultrasound. We then propose that, due to the inherent challenges of this task, annotation by localisation of the entire tumour mass with a bounding box could serve as an ancillary solution to segmentation for clinical training, encompassing margin uncertainty and the curation of large datasets.
View Article and Find Full Text PDFObjective: To evaluate prenatal ultrasound markers for distinguishing simple gastroschisis (sGS) from complex gastroschisis (cGS) and identifying fetuses at risk of complications.
Study Design: A retrospective cohort study analyzed 61 fetuses with isolated gastroschisis at a tertiary center from 2011 to 2021, utilizing serial ultrasounds from 14 to 35 weeks' gestation. A general linear model, quantile regression, and logistic regression assessed ultrasound markers, fetal weeks, and gastroschisis risk, yielding predictive models.