Literature DB >> 30220584

A Reliability Comparison of Cone-Beam Breast Computed Tomography and Mammography: Breast Density Assessment Referring to the Fifth Edition of the BI-RADS Atlas.

Yue Ma1, Yang Cao2, Aidi Liu1, Lu Yin1, Peng Han1, Haijie Li1, Xiaohua Zhang3, Zhaoxiang Ye4.   

Abstract

RATIONALE AND
OBJECTIVES: To evaluate the reliability of cone-beam breast computed tomography (CBBCT) in visual assessment of breast density referring to the fifth edition of the Breast Imaging Reporting and Data System compared to digital mammography.
MATERIALS AND METHODS: Breast density assessments of 130 female patients were performed by five radiologists referring to the fifth edition of Breast Imaging Reporting and Data System atlas both on two-view mammograms and CBBCT images. Assessments were repeated by three radiologists with different experience more than 1 month after the initial evaluation. The inter- and intrareader agreements were compared by using the Cohen's weighted Kappa statistic and intraclass correlation coefficient. Weighted Kappa statistic was also used to analyze the agreement between CBBCT images and mammograms. The influence of radiologist experience for breast density assessment was analyzed using a chi-square test.
RESULTS: For CBBCT images, the inter-reader agreement was 0.781, whereas the agreement on mammograms was 0.744, both demonstrating moderate agreement. The level of intrareader reliability was higher on the CBBCT images than mammograms for breast density evaluation, 0.856 versus 0.786. Based on the majority report, the agreement between these two modalities was on substantial agreement degree. There was a statistically significant difference among radiologists with different levels of experience, and higher density categories were reported more often by experienced reader.
CONCLUSION: CBBCT showed equal aptitude and better agreement for the breast density evaluation compared to mammography. CBBCT could be an effective modality for breast density assessment and breast cancer risk evaluation in routine diagnosis and breast cancer screening.
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast density; Cone-beam computed tomography; Mammography

Mesh:

Year:  2018        PMID: 30220584     DOI: 10.1016/j.acra.2018.07.023

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

1.  Breast density in dedicated breast computed tomography: Proposal of a classification system and interreader reliability.

Authors:  Jann Wieler; Nicole Berger; Thomas Frauenfelder; Magda Marcon; Andreas Boss
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

Review 2.  Dedicated breast CT: state of the art-Part II. Clinical application and future outlook.

Authors:  Yueqiang Zhu; Avice M O'Connell; Yue Ma; Aidi Liu; Haijie Li; Yuwei Zhang; Xiaohua Zhang; Zhaoxiang Ye
Journal:  Eur Radiol       Date:  2021-09-03       Impact factor: 5.315

3.  Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?

Authors:  Anna Landsmann; Jann Wieler; Patryk Hejduk; Alexander Ciritsis; Karol Borkowski; Cristina Rossi; Andreas Boss
Journal:  Diagnostics (Basel)       Date:  2022-01-13
  3 in total

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