Literature DB >> 31743049

Update on Breast Density, Risk Estimation, and Supplemental Screening.

Stamatia V Destounis1, Amanda Santacroce1, Andrea Arieno1.   

Abstract

OBJECTIVE. Dense breast tissue is an established risk factor for the development of breast cancer. Methods for reliable and reproducible identification of breast density have been developed and are increasingly being adopted into clinical practice, allowing enhanced identification of patients who will benefit from supplemental screening. Breast density is being used for patient risk stratification through incorporation into risk models, leading to more precise management and improved decision making regarding personalized screening strategies. CONCLUSION. This review provides an update on breast density assessment, evaluation of patient's risk status, and the use of supplemental screening.

Entities:  

Keywords:  breast density; breast imaging; risk assessment; supplemental screening

Mesh:

Year:  2019        PMID: 31743049     DOI: 10.2214/AJR.19.21994

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  3 in total

Review 1.  Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review.

Authors:  Aimilia Gastounioti; Shyam Desai; Vinayak S Ahluwalia; Emily F Conant; Despina Kontos
Journal:  Breast Cancer Res       Date:  2022-02-20       Impact factor: 8.408

2.  External Validation of a Mammography-Derived AI-Based Risk Model in a U.S. Breast Cancer Screening Cohort of White and Black Women.

Authors:  Aimilia Gastounioti; Mikael Eriksson; Eric A Cohen; Walter Mankowski; Lauren Pantalone; Sarah Ehsan; Anne Marie McCarthy; Despina Kontos; Per Hall; Emily F Conant
Journal:  Cancers (Basel)       Date:  2022-09-30       Impact factor: 6.575

3.  Evaluation of automated volumetric breast density software in comparison with visual assessments in an Asian population: A retrospective observational study.

Authors:  Kartini Rahmat; Nazimah Ab Mumin; Marlina Tanty Ramli Hamid; Farhana Fadzli; Wei Lin Ng; Nadia Fareeda Muhammad Gowdh
Journal:  Medicine (Baltimore)       Date:  2020-09-25       Impact factor: 1.817

  3 in total

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