Abstract
Introduction:
Breast density is both a modifiable risk factor for breast
cancer and an indicator of the sensi
tivity of mammography. Reliable
measurement in the screening population could enable personalised
screening to maximise early detection of cancer. In the Predicting Risk of
Cancer at Screening (PROCAS) study, we are investigating different
approaches to measuring breast density, and we present comparative data
from one subjective method and two automated volumetric methods.
Methods:
The screening mammograms
of 4,109 women enrolled in
PROCAS were visually assessed independently by two experienced film
readers, who recorded their estimates of percentage density on visual
analogue scales (VAS). The mammograms were also processed by Quantra
™
(Hologic Inc.) and Volpara (Matakina Technology Ltd). They were ranked
Breast density is both a modifiable risk factor for breast
cancer and an indicator of the sensi
tivity of mammography. Reliable
measurement in the screening population could enable personalised
screening to maximise early detection of cancer. In the Predicting Risk of
Cancer at Screening (PROCAS) study, we are investigating different
approaches to measuring breast density, and we present comparative data
from one subjective method and two automated volumetric methods.
Methods:
The screening mammograms
of 4,109 women enrolled in
PROCAS were visually assessed independently by two experienced film
readers, who recorded their estimates of percentage density on visual
analogue scales (VAS). The mammograms were also processed by Quantra
™
(Hologic Inc.) and Volpara (Matakina Technology Ltd). They were ranked
| Original language | English |
|---|---|
| Media of output | Meeting Supplement |
| Publisher | Springer Nature |
| Publication status | Published - 2012 |
Research Beacons, Institutes and Platforms
- Manchester Cancer Research Centre
