Publications by authors named "R Heremans"
Article Synopsis
- This study compares two diagnostic models, ADNEX and ROMA, used to identify whether adnexal masses (tumors near the ovaries) are benign or malignant.
- The research included 894 women undergoing surgery for adnexal tumors and found that ADNEX outperformed ROMA in terms of accuracy, particularly when combined with the biomarker CA125.
- The results indicate that ADNEX not only provided better discrimination between tumor types but also had greater clinical utility, making it a more effective tool for clinicians in practice.
Article Synopsis
- The study aims to validate the IETA-1 polynomial regression model for predicting the risk of endometrial cancer and other uterine pathologies in women without abnormal bleeding.
- The research involved a retrospective analysis using a cohort of 1,745 women, focusing on outcomes related to standardized transvaginal ultrasound examinations conducted between 2011 and 2018.
- Validation of the IETA-1 model relies on key predictors, including age, BMI, and ultrasound findings to predict four distinct histological outcomes, and the study analyzed the model's accuracy and calibration.
Background: Cell-free DNA (cfDNA) analysis holds great promise for non-invasive cancer screening, diagnosis, and monitoring. We hypothesized that mining the patterns of cfDNA shallow whole-genome sequencing datasets from patients with cancer could improve cancer detection.
Methods: By applying unsupervised clustering and supervised machine learning on large cfDNA shallow whole-genome sequencing datasets from healthy individuals (n = 367) and patients with different hematological (n = 238) and solid malignancies (n = 320), we identified cfDNA signatures that enabled cancer detection and typing.