Vision 20/20: Mammographic breast density and its clinical applications.
Saved in:
| Title: | Vision 20/20: Mammographic breast density and its clinical applications. |
|---|---|
| Authors: | Ng, Kwan‐Hoong1, Lau, Susie1 |
| Source: | Medical Physics. Dec2015, Vol. 42 Issue 12, p7059-7077. 19p. |
| Subjects: | Breast cancer diagnosis, Breast cancer treatment, Breast imaging, Mammograms, Medical needs assessment, Volumetric analysis |
| Abstract: | Breast density is a strong predictor of the failure of mammography screening to detect breast cancer and is a strong predictor of the risk of developing breast cancer. The many imaging options that are now available for imaging dense breasts show great promise, but there is still the question of determining which women are "dense" and what imaging modality is suitable for individual women. To date, mammographic breast density has been classified according to the Breast Imaging-Reporting and Data System (BI-RADS) categories from visual assessment, but this is known to be very subjective. Despite many research reports, the authors believe there has been a lack of physics-led and evidence-based arguments about what breast density actually is, how it should be measured, and how it should be used. In this paper, the authors attempt to start correcting this situation by reviewing the history of breast density research and the debates generated by the advocacy movement. The authors review the development of breast density estimation from pattern analysis to area-based analysis, and the current automated volumetric breast density (VBD) analysis. This is followed by a discussion on seeking the ground truth of VBD and mapping volumetric methods to BI-RADS density categories. The authors expect great improvement in VBD measurements that will satisfy the needs of radiologists, epidemiologists, surgeons, and physicists. The authors believe that they are now witnessing a paradigm shift toward personalized breast screening, which is going to see many more cancers being detected early, with the use of automated density measurement tools as an important component. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 111402343 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Vision 20/20: Mammographic breast density and its clinical applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ng%2C+Kwan‐Hoong%22">Ng, Kwan‐Hoong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lau%2C+Susie%22">Lau, Susie</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Dec2015, Vol. 42 Issue 12, p7059-7077. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Breast+cancer+diagnosis%22">Breast cancer diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Breast+cancer+treatment%22">Breast cancer treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Breast+imaging%22">Breast imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Mammograms%22">Mammograms</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+needs+assessment%22">Medical needs assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Volumetric+analysis%22">Volumetric analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Breast density is a strong predictor of the failure of mammography screening to detect breast cancer and is a strong predictor of the risk of developing breast cancer. The many imaging options that are now available for imaging dense breasts show great promise, but there is still the question of determining which women are "dense" and what imaging modality is suitable for individual women. To date, mammographic breast density has been classified according to the Breast Imaging-Reporting and Data System (BI-RADS) categories from visual assessment, but this is known to be very subjective. Despite many research reports, the authors believe there has been a lack of physics-led and evidence-based arguments about what breast density actually is, how it should be measured, and how it should be used. In this paper, the authors attempt to start correcting this situation by reviewing the history of breast density research and the debates generated by the advocacy movement. The authors review the development of breast density estimation from pattern analysis to area-based analysis, and the current automated volumetric breast density (VBD) analysis. This is followed by a discussion on seeking the ground truth of VBD and mapping volumetric methods to BI-RADS density categories. The authors expect great improvement in VBD measurements that will satisfy the needs of radiologists, epidemiologists, surgeons, and physicists. The authors believe that they are now witnessing a paradigm shift toward personalized breast screening, which is going to see many more cancers being detected early, with the use of automated density measurement tools as an important component. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=111402343 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1118/1.4935141 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 7059 Subjects: – SubjectFull: Breast cancer diagnosis Type: general – SubjectFull: Breast cancer treatment Type: general – SubjectFull: Breast imaging Type: general – SubjectFull: Mammograms Type: general – SubjectFull: Medical needs assessment Type: general – SubjectFull: Volumetric analysis Type: general Titles: – TitleFull: Vision 20/20: Mammographic breast density and its clinical applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ng, Kwan‐Hoong – PersonEntity: Name: NameFull: Lau, Susie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 42 – Type: issue Value: 12 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |
