Literature DB >> 28157381

Informing Women and Their Physicians about Recommendations for Adjunct Breast MRI Screening: A Cohort Study.

John T Brinton1, Lora D Barke2, Mary E Freivogel2, Tiffany C Talley2, Michelle D Lexin2, Alicia L Drew2, Rachel B Beam2, Deborah H Glueck3,4.   

Abstract

It is unclear how best to communicate recommendations for breast cancer screening with MRI as an adjunct to mammography for women at high risk. This study compares the rates of breast MRI screening for two different methods of communication. The retrospective IRB-approved cohort study was conducted at Invision Sally Jobe Breast Centers (ISJBC). ISJBC provided Gail model risk assessment to all women presenting for screening mammography. Women with scores ≥ 19.6% were considered to be high risk. Over 2 years, ISJBC used two different methods to inform women at elevated lifetime risk and their physicians about recommendations for adjunct MRI screening (N = 561, mean age = 52 years, s.d. = 8.7). During Window A, information was sent to referring physicians as a part of the dictated imaging report, while later, in Window B, the information was sent to referring physicians as well as to the women themselves in a letter. Analyses were stratified by mammography screening frequency. One-time screeners presented in only Window A or Window B. Repeat screeners came both in Window A and in Window B. Breast MRI screening rates were significantly higher in Window B than in Window A (one-time screeners, N = 459, 9.8% vs. 14.4%, p = 0.047; repeat screeners, N = 102, 0% vs. 6.9%, p = 0.016). Although an observational study cannot assess causality, direct communication of risk-based recommendations for adjunct breast MRI screening to women and to their referring physicians was associated with an increased rate of screening breast MRI completion at the same clinic at which the women underwent mammography.

Entities:  

Mesh:

Year:  2017        PMID: 28157381      PMCID: PMC6714970          DOI: 10.1080/10410236.2016.1278499

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  20 in total

Review 1.  Risk models in genetic epidemiology.

Authors:  E B Claus
Journal:  Stat Methods Med Res       Date:  2000-12       Impact factor: 3.021

2.  American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.

Authors:  Debbie Saslow; Carla Boetes; Wylie Burke; Steven Harms; Martin O Leach; Constance D Lehman; Elizabeth Morris; Etta Pisano; Mitchell Schnall; Stephen Sener; Robert A Smith; Ellen Warner; Martin Yaffe; Kimberly S Andrews; Christy A Russell
Journal:  CA Cancer J Clin       Date:  2007 Mar-Apr       Impact factor: 508.702

3.  Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk.

Authors:  Wendie A Berg; Zheng Zhang; Daniel Lehrer; Roberta A Jong; Etta D Pisano; Richard G Barr; Marcela Böhm-Vélez; Mary C Mahoney; W Phil Evans; Linda H Larsen; Marilyn J Morton; Ellen B Mendelson; Dione M Farria; Jean B Cormack; Helga S Marques; Amanda Adams; Nolin M Yeh; Glenna Gabrielli
Journal:  JAMA       Date:  2012-04-04       Impact factor: 56.272

4.  Prospective study of breast cancer incidence in women with a BRCA1 or BRCA2 mutation under surveillance with and without magnetic resonance imaging.

Authors:  Ellen Warner; Kimberley Hill; Petrina Causer; Donald Plewes; Roberta Jong; Martin Yaffe; William D Foulkes; Parviz Ghadirian; Henry Lynch; Fergus Couch; John Wong; Frances Wright; Ping Sun; Steven A Narod
Journal:  J Clin Oncol       Date:  2011-03-28       Impact factor: 44.544

5.  Breast cancer risk assessment in 64,659 women at a single high-volume mammography clinic.

Authors:  John T Brinton; Lora D Barke; Mary E Freivogel; Stacy Jackson; Colin I O'Donnell; Deborah H Glueck
Journal:  Acad Radiol       Date:  2011-11-03       Impact factor: 3.173

6.  Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.

Authors:  Adriano Decarli; Stefano Calza; Giovanna Masala; Claudia Specchia; Domenico Palli; Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2006-12-06       Impact factor: 13.506

7.  How should we measure informed choice? The case of cancer screening.

Authors:  R G Jepson; J Hewison; A G H Thompson; D Weller
Journal:  J Med Ethics       Date:  2005-04       Impact factor: 2.903

8.  BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes.

Authors:  Donald A Berry; Edwin S Iversen; Daniel F Gudbjartsson; Elaine H Hiller; Judy E Garber; Beth N Peshkin; Caryn Lerman; Patrice Watson; Henry T Lynch; Susan G Hilsenbeck; Wendy S Rubinstein; Kevin S Hughes; Giovanni Parmigiani
Journal:  J Clin Oncol       Date:  2002-06-01       Impact factor: 44.544

9.  A breast cancer prediction model incorporating familial and personal risk factors.

Authors:  Jonathan Tyrer; Stephen W Duffy; Jack Cuzick
Journal:  Stat Med       Date:  2004-04-15       Impact factor: 2.373

10.  Reasons women at elevated risk of breast cancer refuse breast MR imaging screening: ACRIN 6666.

Authors:  Wendie A Berg; Jeffrey D Blume; Amanda M Adams; Roberta A Jong; Richard G Barr; Daniel E Lehrer; Etta D Pisano; W Phil Evans; Mary C Mahoney; Linda Hovanessian Larsen; Glenna J Gabrielli; Ellen B Mendelson
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

View more
  2 in total

1.  Factors associated with breast MRI use among women with a family history of breast cancer.

Authors:  Mary C White; Ashwini Soman; Clarice R Weinberg; Juan L Rodriguez; Susan A Sabatino; Lucy A Peipins; Lisa DeRoo; Hazel B Nichols; M Elizabeth Hodgson; Dale P Sandler
Journal:  Breast J       Date:  2018-05-20       Impact factor: 2.431

2.  Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial.

Authors:  Claire C Conley; Karen J Wernli; Sarah Knerr; Tengfei Li; Kathleen Leppig; Kelly Ehrlich; David Farrell; Hongyuan Gao; Erin J A Bowles; Amanda L Graham; George Luta; Jinani Jayasekera; Jeanne S Mandelblatt; Marc D Schwartz; Suzanne C O'Neill
Journal:  J Cancer Educ       Date:  2021-11-23       Impact factor: 1.771

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.