Title |
Breast density predicts endocrine treatment outcome in the adjuvant setting
|
---|---|
Published in |
Breast Cancer Research, August 2012
|
DOI | 10.1186/bcr3235 |
Pubmed ID | |
Authors |
Jack Cuzick |
Abstract |
ABSTRACT: In their report, Kim and colleagues study the ability of changes in mammographic density over a period of 12 to 18 months to predict subsequent recurrence in 1,065 Korean women with oestrogen receptor-positive breast cancer. Based on 80 recurrences, a clear gradient for lower recurrence rates was seen among women with larger density reductions - with recurrence rates being more than twofold higher in women with no reduction compared with those presenting a reduction ≥10%. This extends previous work on predicting the effectiveness of tamoxifen in individual women from the preventive setting to the adjuvant setting, and also includes women treated with aromatase inhibitors, where a slightly larger effect was seen. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 5% |
Unknown | 20 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 24% |
Other | 2 | 10% |
Professor | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Student > Master | 2 | 10% |
Other | 5 | 24% |
Unknown | 3 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 48% |
Agricultural and Biological Sciences | 2 | 10% |
Physics and Astronomy | 2 | 10% |
Computer Science | 1 | 5% |
Unknown | 6 | 29% |