Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

Breast Cancer Research

Volumn 20, Issue 1, 2018, Pages

  Wang, Chao ^a   Brentnall, Adam R ^a   Cuzick, Jack ^a   Harkness, Elaine F ^b   Evans, D Gareth ^b   Astley, Susan ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Breast cancer; Breast density; Digital mammogram; Risk prediction; Thresholding

Indexed keywords

ADULT; AGED; ARTICLE; BODY MASS; BREAST CANCER; BREAST DENSITY; CANCER RISK; CANCER SCREENING; CASE CONTROL STUDY; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; HORMONE SUBSTITUTION; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MENOPAUSE; PREDICTION; SCREENING TEST; UNITED KINGDOM; BREAST; BREAST TUMOR; DIAGNOSTIC IMAGING; EARLY CANCER DIAGNOSIS; MIDDLE AGED; PATHOLOGY; PROGNOSIS; RISK ASSESSMENT; RISK FACTOR; SOFTWARE; STATISTICAL MODEL;

ADULT; AGED; BREAST; BREAST DENSITY; BREAST NEOPLASMS; CASE-CONTROL STUDIES; EARLY DETECTION OF CANCER; FEMALE; HUMANS; LOGISTIC MODELS; MAMMOGRAPHY; MIDDLE AGED; PROGNOSIS; RISK ASSESSMENT; RISK FACTORS; SOFTWARE;

EID: 85048265777     PISSN: 14655411     EISSN: 1465542X     Source Type: Journal    
DOI: 10.1186/s13058-018-0979-x     Document Type: Article

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