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Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment.
Breast 2019; 49:123-130B

Abstract

The Breast Cancer overall survival rate has raised impressively in the last 20 years mainly due to improved screening and effectiveness of treatments. This increase in survival paralleled the awareness over the long-lasting impact of the side effects of treatments on patient quality of life, emphasizing the motto "a longer but better life for breast cancer patients". In breast cancer more strikingly than in other cancers, besides the side effects of systemic treatments, there is the visible impact of surgery and radiotherapy on patients' body image. This has sparked interest on the development of tools for the aesthetic evaluation of Breast Cancer locoregional treatments, which evolved from manual, subjective approaches to computerized, automated solutions. However, although studied for almost four decades, past solutions were not mature enough to become a standard. Recent advancements in machine learning have inspired trends toward deep-learning-based medical image analysis, also bringing new promises to the field of aesthetic assessment of locoregional treatments. In this paper, a review and discussion of the previous state-of-the-art methods in the field is conducted and the extracted knowledge is used to understand the evolution and current challenges. The aim of this paper is to delve into the current opportunities as well as motivate and guide future research in the aesthetic assessment of Breast Cancer locoregional treatments.

Authors+Show Affiliations

INESC TEC, Portugal; University of Porto, Portugal. Electronic address: jaime.cardoso@inesctec.pt.INESC TEC, Portugal; University of Porto, Portugal.INESC TEC, Portugal; Champalimaud Foundation, Portugal; Nova Medical School, Lisbon, Portugal.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31790958

Citation

Cardoso, Jaime S., et al. "Evolution, Current Challenges, and Future Possibilities in the Objective Assessment of Aesthetic Outcome of Breast Cancer Locoregional Treatment." Breast (Edinburgh, Scotland), vol. 49, 2019, pp. 123-130.
Cardoso JS, Silva W, Cardoso MJ. Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment. Breast. 2019;49:123-130.
Cardoso, J. S., Silva, W., & Cardoso, M. J. (2019). Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment. Breast (Edinburgh, Scotland), 49, pp. 123-130. doi:10.1016/j.breast.2019.11.006.
Cardoso JS, Silva W, Cardoso MJ. Evolution, Current Challenges, and Future Possibilities in the Objective Assessment of Aesthetic Outcome of Breast Cancer Locoregional Treatment. Breast. 2019 Nov 21;49:123-130. PubMed PMID: 31790958.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment. AU - Cardoso,Jaime S, AU - Silva,Wilson, AU - Cardoso,Maria J, Y1 - 2019/11/21/ PY - 2019/09/02/received PY - 2019/11/13/revised PY - 2019/11/14/accepted PY - 2019/12/4/pubmed PY - 2019/12/4/medline PY - 2019/12/3/entrez KW - Artificial intelligence KW - Breast aesthetics KW - Breast conserving therapy KW - Objective evaluation SP - 123 EP - 130 JF - Breast (Edinburgh, Scotland) JO - Breast VL - 49 N2 - The Breast Cancer overall survival rate has raised impressively in the last 20 years mainly due to improved screening and effectiveness of treatments. This increase in survival paralleled the awareness over the long-lasting impact of the side effects of treatments on patient quality of life, emphasizing the motto "a longer but better life for breast cancer patients". In breast cancer more strikingly than in other cancers, besides the side effects of systemic treatments, there is the visible impact of surgery and radiotherapy on patients' body image. This has sparked interest on the development of tools for the aesthetic evaluation of Breast Cancer locoregional treatments, which evolved from manual, subjective approaches to computerized, automated solutions. However, although studied for almost four decades, past solutions were not mature enough to become a standard. Recent advancements in machine learning have inspired trends toward deep-learning-based medical image analysis, also bringing new promises to the field of aesthetic assessment of locoregional treatments. In this paper, a review and discussion of the previous state-of-the-art methods in the field is conducted and the extracted knowledge is used to understand the evolution and current challenges. The aim of this paper is to delve into the current opportunities as well as motivate and guide future research in the aesthetic assessment of Breast Cancer locoregional treatments. SN - 1532-3080 UR - https://www.unboundmedicine.com/medline/citation/31790958/Evolution,_current_challenges,_and_future_possibilities_in_the_objective_assessment_of_aesthetic_outcome_of_breast_cancer_locoregional_treatment L2 - https://linkinghub.elsevier.com/retrieve/pii/S0960-9776(19)31098-7 DB - PRIME DP - Unbound Medicine ER -