Disparities in Breast Cancer Diagnostics: How Radiologists Can Level the Inequalities.

artificial intelligence breast neoplasms cultural competency early detection of cancer health policy healthcare inequities radiology teleradiology

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
27 Dec 2023
Historique:
received: 18 10 2023
revised: 21 12 2023
accepted: 25 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

Access to medical imaging is pivotal in healthcare, playing a crucial role in the prevention, diagnosis, and management of diseases. However, disparities persist in this scenario, disproportionately affecting marginalized communities, racial and ethnic minorities, and individuals facing linguistic or cultural barriers. This paper critically assesses methods to mitigate these disparities, with a focus on breast cancer screening. We underscore scientific mobility as a vital tool for radiologists to advocate for healthcare policy changes: it not only enhances diversity and cultural competence within the radiology community but also fosters international cooperation and knowledge exchange among healthcare institutions. Efforts to ensure cultural competency among radiologists are discussed, including ongoing cultural education, sensitivity training, and workforce diversification. These initiatives are key to improving patient communication and reducing healthcare disparities. This paper also highlights the crucial role of policy changes and legislation in promoting equal access to essential screening services like mammography. We explore the challenges and potential of teleradiology in improving access to medical imaging in remote and underserved areas. In the era of artificial intelligence, this paper emphasizes the necessity of validating its models across a spectrum of populations to prevent bias and achieve equitable healthcare outcomes. Finally, the importance of international collaboration is illustrated, showcasing its role in sharing insights and strategies to overcome global access barriers in medical imaging. Overall, this paper offers a comprehensive overview of the challenges related to disparities in medical imaging access and proposes actionable strategies to address these challenges, aiming for equitable healthcare delivery.

Identifiants

pubmed: 38201557
pii: cancers16010130
doi: 10.3390/cancers16010130
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Filippo Pesapane (F)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Priyan Tantrige (P)

King's College Hospital NHS Foundation Trust, London SE5 9RS, UK.

Anna Rotili (A)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Luca Nicosia (L)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Silvia Penco (S)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Anna Carla Bozzini (AC)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Sara Raimondi (S)

Molecular and Pharmaco-Epidemiology Unit, Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Giovanni Corso (G)

Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.
Division of Breast Surgery, IEO European Institute of Oncology IRCCS, Via Ripamonti, 435, 20141 Milan, Italy.
European Cancer Prevention Organization (ECP), 20122 Milan, Italy.

Roberto Grasso (R)

Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.
Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Gabriella Pravettoni (G)

Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.
Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Sara Gandini (S)

Molecular and Pharmaco-Epidemiology Unit, Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Enrico Cassano (E)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Classifications MeSH