Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs.

Siviengphanom, S; Gandomkar, Z; Lewis, SJ; Brennan, PC

Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs.

Siviengphanom, S

Gandomkar, Z Lewis, SJ Brennan, PC

Permalink

Publisher:: ELSEVIER SCIENCE INC
Publication Type:: Journal Article
Citation:: Acad Radiol, 2022, 29, (8), pp. 1228-1247
Issue Date:: 2022-08

Closed Access

	Filename	Description	Size
	SSiviengphanom-Manuscript_Final.pdf	Accepted version	1.05 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Siviengphanom, S https://orcid.org/0000-0002-2891-9217
dc.contributor.author	Gandomkar, Z
dc.contributor.author	Lewis, SJ
dc.contributor.author	Brennan, PC
dc.date.accessioned	2022-11-14T21:27:53Z
dc.date.available	2021-09-26
dc.date.available	2022-11-14T21:27:53Z
dc.date.issued	2022-08
dc.identifier.citation	Acad Radiol, 2022, 29, (8), pp. 1228-1247
dc.identifier.issn	1076-6332
dc.identifier.issn	1878-4046
dc.identifier.uri	http://hdl.handle.net/10453/163467
dc.description.abstract	RATIONALE AND OBJECTIVES: Breast cancer is a highly complex heterogeneous disease. Current validated prognostic factors (e.g., histological grade, lymph node involvement, receptor status, and proliferation index), as well as multigene tests (e.g., Oncotype DX and PAM50) are helpful to describe breast cancer characteristics and predict the chance of recurrence risk and survival. Nevertheless, they are invasive and cannot capture a complete heterogeneity of the entire breast tumor resulting in up to 30% of patients being either over- or under-treated for breast cancer. Furthermore, multigene testings are time consuming and expensive. Radiomics is emerging as a reliable, accurate, non-invasive, and cost-effective approach of using quantitative image features to classify breast cancer characteristics and predict patient outcomes. Several recent radiomics reviews have been conducted in breast cancer, however, specific mammography-based radiomics studies have not been well discussed. This scoping review aims to assess and summarize the current evidence on the potential usefulness of mammography-based (i.e., digital mammography, digital breast tomosynthesis, and contrast-enhanced mammography) radiomics in predicting factors that describe breast cancer characteristics, recurrence, and survival. MATERIALS AND METHODS: PubMed database and eligible text reference were searched using relevant keywords to identify studies published between 2015 and December 19, 2020. Studies collected were screened and assessed based on the inclusion and exclusion criteria. RESULTS: Eighteen eligible studies were included and organized into three main sections: radiomics predicting breast cancer characteristics, radiomics predicting breast cancer recurrence and survival, and radiomics integrating with clinical data. Majority of publications reported retrospective studies while three studies examined prospective cohorts. Encouraging results were reported, suggesting the potential clinical value of mammography-based radiomics. Further efforts are required to standardize radiomics approaches and catalogue reproducible and relevant mammographic radiomic features. The role of integrating radiomics with other information is discussed. CONCLUSION: The potential role of mammography-based radiomics appears promising but more efforts are required to further evaluate its reliability as a routine clinical tool.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ELSEVIER SCIENCE INC
dc.relation.ispartof	Acad Radiol
dc.relation.isbasedon	10.1016/j.acra.2021.09.025
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1103 Clinical Sciences
dc.subject.classification	Nuclear Medicine & Medical Imaging
dc.subject.mesh	Breast Neoplasms
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Mammography
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Humans
dc.subject.mesh	Breast Neoplasms
dc.subject.mesh	Mammography
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Female
dc.title	Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs.
dc.type	Journal Article
utslib.citation.volume	29
utslib.location.activity	United States
utslib.for	1103 Clinical Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
utslib.copyright.status	closed_access	*
dc.date.updated	2022-11-14T21:27:52Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	29
utslib.citation.issue	8

Abstract:

RATIONALE AND OBJECTIVES: Breast cancer is a highly complex heterogeneous disease. Current validated prognostic factors (e.g., histological grade, lymph node involvement, receptor status, and proliferation index), as well as multigene tests (e.g., Oncotype DX and PAM50) are helpful to describe breast cancer characteristics and predict the chance of recurrence risk and survival. Nevertheless, they are invasive and cannot capture a complete heterogeneity of the entire breast tumor resulting in up to 30% of patients being either over- or under-treated for breast cancer. Furthermore, multigene testings are time consuming and expensive. Radiomics is emerging as a reliable, accurate, non-invasive, and cost-effective approach of using quantitative image features to classify breast cancer characteristics and predict patient outcomes. Several recent radiomics reviews have been conducted in breast cancer, however, specific mammography-based radiomics studies have not been well discussed. This scoping review aims to assess and summarize the current evidence on the potential usefulness of mammography-based (i.e., digital mammography, digital breast tomosynthesis, and contrast-enhanced mammography) radiomics in predicting factors that describe breast cancer characteristics, recurrence, and survival. MATERIALS AND METHODS: PubMed database and eligible text reference were searched using relevant keywords to identify studies published between 2015 and December 19, 2020. Studies collected were screened and assessed based on the inclusion and exclusion criteria. RESULTS: Eighteen eligible studies were included and organized into three main sections: radiomics predicting breast cancer characteristics, radiomics predicting breast cancer recurrence and survival, and radiomics integrating with clinical data. Majority of publications reported retrospective studies while three studies examined prospective cohorts. Encouraging results were reported, suggesting the potential clinical value of mammography-based radiomics. Further efforts are required to standardize radiomics approaches and catalogue reproducible and relevant mammographic radiomic features. The role of integrating radiomics with other information is discussed. CONCLUSION: The potential role of mammography-based radiomics appears promising but more efforts are required to further evaluate its reliability as a routine clinical tool.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/163467