A statistical model of breast cancer tumour growth with estimation of screening sensitivity as a function of mammographic density

被引：21

作者：

Abrahamsson, Linda ^{[1
]}

Humphreys, Keith ^{[1
]}

机构：

[1] Karolinska Inst, Dept Med Epidemiol & Biostat, Box 281, SE-17177 Stockholm, Sweden

来源：

STATISTICAL METHODS IN MEDICAL RESEARCH | 2016年 / 25卷 / 04期

基金：

瑞典研究理事会;

关键词：

Tumour growth model; screening sensitivity; breast cancer; MENOPAUSAL HORMONE-THERAPY; NATURAL-HISTORY; SIZE; RISK; INTERVAL; STAGE;

D O I：

10.1177/0962280213492843

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Understanding screening sensitivity and tumour progression is important for designing and evaluating screening programmes for breast cancer. Several approaches for estimating tumour growth rates have been described, some of which simultaneously estimate (mammography) screening sensitivity. None of the continuous tumour growth modelling approaches has incorporated mammographic density, although it is known to have a profound influence on mammographic screening sensitivity. We describe a new approach for estimating breast cancer tumour growth which builds on recently described continuous tumour growth models and estimates mammographic screening sensitivity as a function of tumour size and mammographic density.

引用

页码：1620 / 1637

页数：18

共 35 条

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[2]

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