Literature DB >> 28411673

Breast Cancer Risk Assessment Models and High-Risk Screening.

Lora D Barke1, Mary E Freivogel2.   

Abstract

It is important to recognize that patients at high risk for breast cancer may benefit by following breast cancer screening paradigms that are more robust than those recommended for the average-risk population. Assessing individual cancer risk and using guidelines to determine if a patient is a candidate for genetic counseling and possibly genetic testing are essential components to comprehensive breast cancer screening.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast MR imaging; Breast cancer screening; Hereditary cancer syndromes; High-risk screening; Mammography; Risk assessment models

Mesh:

Year:  2017        PMID: 28411673     DOI: 10.1016/j.rcl.2016.12.013

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  4 in total

1.  Breast cancer screening in average-risk women: towards personalized screening.

Authors:  Almir Gv Bitencourt; Carolina Rossi Saccarelli; Christiane Kuhl; Elizabeth A Morris
Journal:  Br J Radiol       Date:  2019-09-23       Impact factor: 3.039

Review 2.  Assessing Risk of Breast Cancer: A Review of Risk Prediction Models.

Authors:  Geunwon Kim; Manisha Bahl
Journal:  J Breast Imaging       Date:  2021-02-19

3.  Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions.

Authors:  Renato de Oliveira Pereira; Larissa Almondes da Luz; Diego Cipriano Chagas; Jefferson Rodrigues Amorim; Elmo de Jesus Nery-Júnior; Araci Castelo Branco Rodrigues Alves; Flávio Teixeira de Abreu-Neto; Maria da Conceição Barros Oliveira; Danylo Rafhael Costa Silva; José Maria Soares-Júnior; Benedito Borges da Silva
Journal:  Clinics (Sao Paulo)       Date:  2020-07-22       Impact factor: 2.365

4.  Authors' Reply "Comments: Evaluation of the accuracy of mammography, ultrasound, and magnetic resonance imaging in suspect breast lesions".

Authors:  Renato de Oliveira Pereira; Larissa Almondes da Luz; Diego Cipriano Chagas; Jefferson Rodrigues Amorim; Elmo de Jesus Nery-Junior; Araci Castelo Branco Rodrigues Alves; Flávio Teixeira de Abreu-Neto; Maria da Conceicão Barros Oliveira; Danylo Rafhael Costa Silva; José Maria Soares-Júnior; Benedito Borges da Silva
Journal:  Clinics (Sao Paulo)       Date:  2021-06-14       Impact factor: 2.365

  4 in total

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