Publications by authors named "O Sandra Madueke-Laveaux"
Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.
J Med Imaging (Bellingham)
September 2024
Article Synopsis
- Uterine fibroids (UFs) are benign tumors that can cause varying degrees of health issues in women, and current management methods struggle with predicting their growth and related complications.
- The aim of the study was to create a predictive model using MRI data to identify which UFs are likely to grow faster and lead to more severe health problems.
- The researchers successfully developed a model that distinguishes faster-growing UFs with a promising accuracy, indicating its potential for improving personalized treatment options for patients once tested with a larger group.
Introduction: Uterine fibroids, the most common nonmalignant tumors affecting the female genital tract, are a significant medical challenge. This article focuses on the most recent studies that attempted to identify novel non-hormonal therapeutic targets and strategies in UF therapy.
Areas Covered: This review covers the analysis of the pharmacological and biological mechanisms of the action of natural substances and the role of the microbiome in reference to UFs.
Background: Uterine fibroid (UF) growth rate and future morbidity cannot be predicted. This can lead to sub-optimal clinical management, with women being lost to follow-up and later presenting with severe disease that may require hospitalization, transfusions, and urgent surgical interventions. Multi-parametric quantitative magnetic resonance imaging (MRI) could provide a biomarker to predict growth rate facilitating better-informed disease management and better clinical outcomes.
View Article and Find Full Text PDFUterine leiomyosarcoma (uLMS) is the most common subtype of uterine sarcomas. They have a poor prognosis with high rates of recurrence and metastasis. The five-year survival for uLMS patients is between 25 and 76%, with survival rates approaching 10-15% for patients with metastatic disease at the initial diagnosis.
View Article and Find Full Text PDFUterine Fibroid Prevalence in a Predominantly Black, Chicago-Based Cohort.
Int J Environ Res Public Health
February 2024
(1) Objectives: To investigate the effect of individual-level, neighborhood, and environmental variables on uterine fibroid (UF) prevalence in a Chicago-based cohort. (2) Methods: Data from the Chicago Multiethnic Prevention and Surveillance Study (COMPASS) were analyzed. Individual-level variables were obtained from questionnaires, neighborhood variables from the Chicago Health Atlas, and environmental variables from NASA satellite ambient air exposure levels.
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