Literature DB >> 25615748

Training and standards for performance, interpretation, and structured reporting for supplemental breast cancer screening.

Ellen B Mendelson1, Wendie A Berg.   

Abstract

OBJECTIVE. To compensate for the reduction of mammography's sensitivity in women with dense breasts, supplemental screening can increase the cancer detection rate. The modalities suggested are MRI, which is the most sensitive and is indicated for women with the highest risk of breast cancer, and ultrasound, which is suggested for dense-breasted average-risk women. CONCLUSION. For decades, ultrasound has been a focused examination. Extending a handheld ultrasound examination to depict the entire breast requires formal didactic training and hands-on scanning to learn suitable, efficient methods. Automated options also require intensive training in performance and interpretation.

Entities:  

Keywords:  automated ultrasound; breast cancer; handheld ultrasound; screening; ultrasound

Mesh:

Year:  2015        PMID: 25615748     DOI: 10.2214/AJR.14.13794

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


  4 in total

1.  Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Authors:  Wendie A Berg; Andriy I Bandos; Ellen B Mendelson; Daniel Lehrer; Roberta A Jong; Etta D Pisano
Journal:  J Natl Cancer Inst       Date:  2015-12-28       Impact factor: 13.506

2.  Preliminary study of the technical limitations of automated breast ultrasound: from procedure to diagnosis.

Authors:  Maria Julia Gregório Calas; Fernanda Philadelpho Arantes Pereira; Leticia Pereira Gonçalves; Flávia Paiva Proença Lobo Lopes
Journal:  Radiol Bras       Date:  2020 Sep-Oct

3.  Not all false positive diagnoses are equal: On the prognostic implications of false-positive diagnoses made in breast MRI versus in mammography / digital tomosynthesis screening.

Authors:  Christiane K Kuhl; Annika Keulers; Kevin Strobel; Hannah Schneider; Nadine Gaisa; Simone Schrading
Journal:  Breast Cancer Res       Date:  2018-02-09       Impact factor: 6.466

4.  Image quality and artifacts in automated breast ultrasonography.

Authors:  Sung Hun Kim
Journal:  Ultrasonography       Date:  2018-07-14
  4 in total

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