Deriving a mammogram-based risk score from screening digital breast tomosynthesis for 5-year breast cancer risk prediction.

Screening digital breast tomosynthesis (DBT) aims to identify breast cancer early when treatment is most effective leading to reduced mortality. In addition to early detection, the information contained within DBT images may also inform subsequent risk stratification and guide risk-reducing management. Using transfer learning we refined a model in the WashU cohort of 5,066 women with DBT screening (mean age 54.

Does interdisciplinary group care for the treatment of endometriosis improve pain interference: protocol for a pilot randomised controlled trial at an urban academic medical centre.

Introduction: Endometriosis affects 10-15% of people assigned female at birth and can cause chronic pelvic pain and impair many domains of quality of life, such as fertility, mood and bladder, bowel and sexual function. Current treatments often fail, leading to recurrent pain and the need for reintervention. As endometriosis negatively affects many domains of life, a variety of non-pharmacological treatments modestly improve symptoms.

Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.

Introduction: The mammogram risk score (MRS), an AI-driven texture feature derived from digital mammograms, strongly predicts breast cancer risk independently of breast density, though underlying mechanisms remain unclear. This study investigated relationships between established breast cancer risk factors, covering anthropometrics, reproductive factors, family history, and mammographic density metrics, and MRS.

Methods: Using data from the Nurses' Health Study II (292 cases, 561 controls), we validated MRS's association with breast cancer using logistic regression and evaluated its relationships with risk factors through: linear regressions of MRS on observed risk factors and polygenic scores associated with risk factors, and Mendelian randomization (MR) analysis via two-stage least squares regression.

Plant-based, fast-food, Western-contemporary, and animal-based dietary patterns and risk of premature aging in adult survivors of childhood cancer: a cross-sectional study.

Background: Although premature aging is a significant concern in adult survivors of childhood cancer, little is known about the role of diet in premature aging in this vulnerable population. Therefore, we examined whether dietary patterns specific to childhood cancer survivors are associated with premature aging.

Methods: This cross-sectional study included 2904 adult survivors of childhood cancer (mean age = 31 years, SD = 8 years) in the St.

Association of hyponatremia with outcomes after geriatric trauma: a systematic review and meta-analysis.

Background: Trauma is a major cause of mortality in the elderly population. Hyponatremia is the most common electrolyte imbalance in geriatric patients and has been demonstrated to be a risk factor for altered cognition, low bone density, falls, and death. We systematically and critically reviewed the literature to ascertain the association between hyponatremia and geriatric trauma outcomes.