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Utilization of breast cancer risk prediction models by cancer genetic counselors in clinical practice predominantly in the United States.
Park, Min Seon; Weissman, Scott M; Postula, Kristen J Vogel; Williams, Carmen S; Mauer, Caitlin B; O'Neill, Suzanne M.
Afiliação
  • Park MS; Northwestern Medical Group, Chicago, IL, USA.
  • Weissman SM; Northwestern University Feinberg School of Medicine Graduate Program in Genetic Counseling, Chicago, IL, USA.
  • Postula KJV; Chicago Genetic Consultants, LLC, Northbrook, IL, USA.
  • Williams CS; MyGene Team, Miami, FL, USA.
  • Mauer CB; Northwestern Medical Group, Chicago, IL, USA.
  • O'Neill SM; Northwestern University Feinberg School of Medicine Graduate Program in Genetic Counseling, Chicago, IL, USA.
J Genet Couns ; 30(6): 1737-1747, 2021 12.
Article em En | MEDLINE | ID: mdl-34076301
ABSTRACT
Risk assessment in cancer genetic counseling is essential in identifying individuals at high risk for developing breast cancer to recommend appropriate screening and management options. Historically, many breast cancer risk prediction models were developed to calculate an individual's risk to develop breast cancer or to carry a pathogenic variant in the BRCA1 or BRCA2 genes. However, how or when genetic counselors use these models in clinical settings is currently unknown. We explored genetic counselors' breast cancer risk model usage patterns including frequency of use, reasons for using or not using models, and change in usage since the adoption of multi-gene panel testing. An online survey was developed and sent to members of the National Society of Genetic Counselors; board-certified genetic counselors whose practice included cancer genetic counseling were eligible to participate in the study. The response rate was estimated at 23% (243/1,058), and respondents were predominantly working in the United States. The results showed that 93% of all respondents use at least one breast cancer risk prediction model in their clinical practice. Among the six risk models selected for the study, the Tyrer-Cuzick (IBIS) model was used most frequently (95%), and the BOADICEA model was used least (40%). Determining increased or decreased surveillance and breast MRI eligibility were the two most common reasons for most model usage, while time consumption and difficulty in navigation were the two most common reasons for not using models. This study provides insight into perceived benefits and limitations of risk models in clinical use in the United States, which may be useful information for software developers, genetic counseling program curriculum developers, and currently practicing cancer genetic counselors.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Conselheiros Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: America do norte Idioma: En Revista: J Genet Couns Assunto da revista: GENETICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Conselheiros Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: America do norte Idioma: En Revista: J Genet Couns Assunto da revista: GENETICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos