A5042705991- Cancer Risks and Factors
- Digital Radiography and Breast Imaging
- Global Cancer Incidence and Screening
- Nutritional Studies and Diet
- Breast Cancer Treatment Studies
- Breast Lesions and Carcinomas
- AI in cancer detection
- Digestive system and related health
- Cancer Cells and Metastasis
- Body Composition Measurement Techniques
- Colorectal Cancer Screening and Detection
- Gut microbiota and health
- Per- and polyfluoroalkyl substances research
- Effects and risks of endocrine disrupting chemicals
- Estrogen and related hormone effects
- BRCA gene mutations in cancer
- Air Quality and Health Impacts
- Health, Environment, Cognitive Aging
- PI3K/AKT/mTOR signaling in cancer
- Cervical Cancer and HPV Research
- Radiomics and Machine Learning in Medical Imaging
- Nutrition and Health in Aging
- Carcinogens and Genotoxicity Assessment
- Frailty in Older Adults
- Coffee research and impacts
University of Florida
2015-2024
Florida College
2015-2024
Washington University in St. Louis
2011-2013
Harvard University
2011-2013
Brigham and Women's Hospital
2011-2013
University of Cincinnati Medical Center
2007-2012
Beth Israel Deaconess Medical Center
2011
Mayo Clinic in Arizona
2011
University of Cincinnati
2009
Few studies that investigated the associations between breast density and subsequent cancer according to tumor characteristics have produced inconclusive findings. We aimed determine whether varied by characteristics. included 1042 postmenopausal women diagnosed with June 1, 1989, 30, 2004, 1794 matched control subjects from Nurses' Health Study, an ongoing prospective cohort study of 121 701 registered female nurses across United States. Breast was estimated digitized images using...
We investigated the association of several air pollution measures with postmenopausal breast cancer (BCa) risk.This study included 155,235 women (of which 6146 BCa) from UK Biobank. Cancer diagnoses were ascertained through linkage to National Health Service Central Registers. Annual exposure averages available 2005, 2006, 2007, and 2010 for NO2, 2007 PM10, PM2.5, NOX, PM2.5-10 PM2.5 absorbance. Information on BCa risk factors was collected at baseline. Cox proportional hazards regression...
Mammographic breast density is a well-established strong risk factor for cancer. The environmental contributors to geographic variation in urban and rural areas are poorly understood. We examined the association between exposure ambient air pollutants (particulate matter <2.5 μm diameter (PM2.5) ozone (O3)) large population-based screening registry. Participants included women undergoing mammography at imaging facilities within Breast Cancer Surveillance Consortium (2001–2009). aged ≥40...
The data on the expression of stem cell markers CD44, CD24, and ALDH1A1 in breast tissue cancer-free women is very limited no previous studies have explored agreement between pathologist computational assessments these markers. We compared immunohistochemical (IHC) assessment for by an expert with automated image analysis results assessed homogeneity across multiple cores pertaining to each woman. included 81 (399 cores) biopsy-confirmed benign disease Nurses' Health Study (NHS) NHSII...
Abstract Background: Few studies have shown that the association between mammographic breast density and cancer persists for up to 10 years after mammogram. We investigated associations of percent density, absolute dense, nondense areas with risk according time since Methods: This study included 1,028 incident cases diagnosed within Nurses' Health Study 1,780 matched controls. Breast was measured from digitized film images computerized techniques. Information on factors obtained...
We investigated associations of known breast cancer risk factors with density, a well-established and very strong predictor risk. This nested case–control study included cancer-free women, 265 high 860 low density. Women were required to be 40–80 years old should have body mass index (BMI) <35 at the time mammogram. Information on covariates was obtained from annual questionnaires. In overall analysis, density inversely associated BMI mammogram (P for trend<0.001), parity trend=0.02)...
Abstract Background: We investigated the associations between several reproductive factors related to childbearing and variation (V) measure (a novel, objective, single summary of breast image intensity) by menopausal status. Methods: Our study included 3,814 cancer-free women within Nurses’ Health Study (NHS) NHSII cohorts. The data on variables covariates were obtained from biennial questionnaires closest mammogram date. V-measures mammographic images using a previously developed algorithm...
This study aimed to determine if associations of pre-diagnostic percent breast density, absolute dense area, and non-dense area with subsequent cancer risk differ by the tumour’s molecular marker status. We included 1010 postmenopausal women 2077 matched controls from Nurses’ Health Study (NHS) II (NHS II) cohorts. Breast density was estimated digitised film mammograms using computer-assisted thresholding techniques. Information on factors obtained prospectively biennial questionnaires....
OBJECTIVES To evaluate the effect of hospitalizations on patterns sedentary and physical activity time in mobility‐limited older adults randomized to structured or health education. DESIGN Secondary analysis investigator‐blinded, parallel‐group, trial conducted at 8 U.S. centers between February 2010 December 2013. PARTICIPANTS Sedentary men women aged 70 89 baseline who wore a hip‐fitted accelerometer 7 consecutive days 6, 12, 24 months after randomization (N=1,341). MEASUREMENTS...
Abstract Background We investigated the associations of reproductive factors with percentage epithelium, stroma, and fat tissue in benign breast biopsy samples. Methods This study included 983 cancer-free women biopsy-confirmed disease (BBD) within Nurses’ Health Study II cohorts. The each type (epithelium, fat) was measured on whole-section images a deep-learning technique. All measures were log-transformed all analyses to improve normality. data variables other cancer risk obtained from...
Background: The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. represents continuous transition discrete groups, which results loss ordering information and landscape continuum, thus may contribute to mixed findings the literature. Few studies have examined validity using codes variables same analysis. Methods: We geocoded cases north central Florida between 2005 2010 collected by Cancer Data System. Using...