Risk-based breast cancer screening strategies in women

被引：63

作者：

Harkness, Elaine F. ^{[1
,2
]}

Astley, Susan M. ^{[1
,2
,3
]}

Evans, D. Gareth ^{[2
,3
,4
,5
]}

机构：

[1] Univ Manchester, Fac Biol Med & Hlth, Sch Hlth Sci, Div Informat Imaging & Data Sci, Manchester, Lancs, England

[2] Manchester Univ NHS Fdn Trust, Wythenshawe Hosp, Prevent Breast Canc Ctr, Manchester M23 9LT, Lancs, England

[3] Christie NHS Fdn Trust, Manchester Breast Ctr, Wilmslow Rd, Manchester M20 4BX, Lancs, England

[4] Manchester Univ NHS Fdn Trust, Manchester Ctr Genom Med, NW Genom Lab Hub, Manchester M13 9WL, Lancs, England

[5] Univ Manchester, Manchester Acad Hlth Sci Ctr, Fac Biol Med & Hlth, Div Evolut & Genom Sci,Sch Biol Sci, Manchester, Lancs, England

来源：

BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY | 2020年 / 65卷

基金：

美国国家卫生研究院;

关键词：

Breast cancer screening; Risk stratification; Risk prediction models; Mammographic density; GENETIC SUSCEPTIBILITY; BOADICEA MODEL; UK NHS; MAMMOGRAPHY; PREDICTION; DENSITY; VALIDATION; PREVENTION; ACCURACY; SURVIVAL;

D O I：

10.1016/j.bpobgyn.2019.11.005

中图分类号：

R71 [妇产科学];

学科分类号：

100211 ;

摘要：

The incidence of breast cancer continues to increase worldwide. Population-based screening is available in many countries but may not be the most efficient use of resources, thus interest in risk-based/stratified screening has grown significantly in recent years. An important part of risk-based screening is the incorporation of mammographic density (MD) and single nucleotide polymorphisms (SNPs) into risk prediction models to be combined with classical risk factors. In this article, we discuss different measures of MD and risk prediction models that are available. Risk-stratified screening options including supplemental or alternative screening modalities including digital breast tomosynthesis (DBT), automated ultrasound (ABUS) and magnetic resonance imaging (MRI) are discussed, as well as potential risk-based interventions (diet and lifestyle, chemoprevention and risk-reducing surgery). Furthermore, we look at risk feedback in practice and the cost-effectiveness and acceptability of risk-based screening, highlighting some of the current challenges. (C) 2019 Published by Elsevier Ltd.

引用

页码：3 / 17

页数：15

共 79 条

[11] Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort [J].

Brentnall, Adam R. ;

Harkness, Elaine F. ;

Astley, Susan M. ;

Donnelly, Louise S. ;

Stavrinos, Paula ;

Sampson, Sarah ;

Fox, Lynne ;

Sergeant, Jamie C. ;

Harvie, Michelle N. ;

Wilson, Mary ;

Beetles, Ursula ;

Gadde, Soujanya ;

Lim, Yit ;

Jain, Anil ;

Bundred, Sara ;

Barr, Nicola ;

Reece, Valerie ;

Howell, Anthony ;

Cuzick, Jack ;

Evans, D. Gareth R. .

BREAST CANCER RESEARCH, 2015, 17

[12] Breast cancer screening controversies: who, when, why, and how? [J].

Chetlen, Alison ;

Mack, Julie ;

Chan, Tiffany .

CLINICAL IMAGING, 2016, 40 (02) :279-282

[13]

Choudhury PP, 2019, JNCI-J NATL CANCER I, DOI [10.1093/jnci/djz113, DOI 10.1093/JNCI/DJZ113.]

[14] Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications [J].

Cintolo-Gonzalez, Jessica A. ;

Braun, Danielle ;

Blackford, Amanda L. ;

Mazzola, Emanuele ;

Acar, Ahmet ;

Plichta, Jennifer K. ;

Griffin, Molly ;

Hughes, Kevin S. .

BREAST CANCER RESEARCH AND TREATMENT, 2017, 164 (02) :263-284

[15] Cancer survival in five continents: a worldwide population-based study (CONCORD) [J].

Coleman, Michel P. ;

Quaresma, Manuela ;

Berrino, Franco ;

Lutz, Jean-Michel ;

De Angelis, Roberto ;

Capocaccia, Riccardo ;

Baili, Paolo ;

Rachet, Bernard ;

Gatta, Gemma ;

Hakulinen, Timo ;

Micheli, Andrea ;

Sant, Milena ;

Weir, Hannah K. ;

Elwood, J. Mark ;

Tsukuma, Hideaki ;

Koifman, Sergio ;

Azevedo e Silva, Gulnar ;

Francisci, Silvia ;

Santaquilani, Mariano ;

Verdecchia, Arduino ;

Storm, Hans H. ;

Young, John L. .

LANCET ONCOLOGY, 2008, 9 (08) :730-756

[16] Validation studies for models projecting the risk of invasive and total breast cancer incidence [J].

Costantino, JP ;

Gail, MH ;

Pee, D ;

Anderson, S ;

Redmond, CK ;

Benichou, J ;

Wieand, HS .

JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1999, 91 (18) :1541-1548

[17] Visually assessed breast density, breast cancer risk and the importance of the craniocaudal view [J].

Duffy, Stephen W. ;

Nagtegaal, Iris D. ;

Astley, Susan M. ;

Gillan, Maureen G. C. ;

McGee, Magnus A. ;

Boggis, Caroline R. M. ;

Wilson, Mary ;

Beetles, Ursula M. ;

Griffiths, Miriam A. ;

Jain, Anil K. ;

Johnson, Jill ;

Roberts, Rita ;

Deans, Heather ;

Duncan, Karen A. ;

Iyengar, Geeta ;

Griffiths, Pam M. ;

Warwick, Jane ;

Cuzick, Jack ;

Gilbert, Fiona J. .

BREAST CANCER RESEARCH, 2008, 10 (04)

[18] Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods [J].

Eng, Amanda ;

Gallant, Zoe ;

Shepherd, John ;

McCormack, Valerie ;

Li, Jingmei ;

Dowsett, Mitch ;

Vinnicombe, Sarah ;

Allen, Steve ;

dos-Santos-Silva, Isabel .

BREAST CANCER RESEARCH, 2014, 16 (05)

[19] Risk reducing mastectomy: outcomes in 10 European centres [J].

Evans, D. G. R. ;

Baildam, A. D. ;

Anderson, E. ;

Brain, A. ;

Shenton, A. ;

Vasen, H. F. A. ;

Eccles, D. ;

Lucassen, A. ;

Pichert, G. ;

Hamed, H. ;

Moller, P. ;

Maehle, L. ;

Morrison, P. J. ;

Stoppat-Lyonnet, D. ;

Gregory, H. ;

Smyth, E. ;

Niederacher, D. ;

Nestle-Kraemling, C. ;

Campbell, J. ;

Hopwood, P. ;

Lalloo, F. ;

Howell, A. .

JOURNAL OF MEDICAL GENETICS, 2009, 46 (04) :254-258

[20] No strong evidence for increased risk of breast cancer 8-26 years after multiple mammograms in their 30s in females at moderate and high familial risk [J].

Evans, D. Gareth ;

Kotre, C. John ;

Harkness, Elaine ;

Wilson, Mary ;

Maxwell, Anthony J. ;

Howell, Anthony .

BRITISH JOURNAL OF RADIOLOGY, 2016, 89 (1059)

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