Artificial intelligence to support person-centred care in breast imaging - A scoping review.

AIM: To overview Artificial Intelligence (AI) developments and applications in breast imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast pathologies. METHODS: The scoping review was conducted in accordance with the Joanna Briggs Institute methodology. The search was conducted on MEDLINE, Embase, CINAHL, Web of science, IEEE explore and arxiv during July 2022 and included only studies published after 2016, in French and English. Combination of keywords and Medical Subject Headings terms (MeSH) related to breast imaging and AI were used. No keywords or MeSH terms related to patients, or the person-centred care (PCC) concept were included. Three independent reviewers screened all abstracts and titles, and all eligible full-text publications during a second stage. RESULTS: 3417 results were identified by the search and 106 studies were included for meeting all criteria. Six themes relating to the AI-enabled PCC in BI were identified: individualised risk prediction/growth and prediction/false negative reduction (44.3%), treatment assessment (32.1%), tumour type prediction (11.3%), unnecessary biopsies reduction (5.7%), patients' preferences (2.8%) and other issues (3.8%). The main BI modalities explored in the included studies were magnetic resonance imaging (MRI) (31.1%), mammography (27.4%) and ultrasound (23.6%). The studies were predominantly retrospective, and some variations (age range, data source, race, medical imaging) were present in the datasets used. CONCLUSIONS: The AI tools for person-centred care are mainly designed for risk and cancer prediction and disease management to identify the most suitable treatment. However, further studies are needed for image acquisition optimisation for different patient groups, improvement and customisation of patient experience and for communicating to patients the options and pathways of disease management.

The Factors for Success and Lack of Success in the Breast Cancer Patient Care Pathway: A Qualitative Study From the Health Care Staff Perspective.

Objective: To produce information about factors related to successful and unsuccessful breast cancer care pathways from the health care staff perspective. Materials and Methods: An electronic qualitative survey was used to collect data simultaneously from hospitals located in four different countries, focusing on four professional groups: diagnostic radiographers; radiation therapists; breast cancer nurses; and biomedical laboratory scientists (n = 23). The hospitals participating in the study treat breast cancer patients and research permits were applied from all of them. Data was analysed by deductive thematic analysis. Results: At the core of a successful breast cancer care pathway is the right content and timely information provided to the patient at the pace the patient is able to adopt. This is especially highlighted at the beginning of the treatment process. In regards to diagnostic services, rigorous execution of mammography, sampling techniques and analyses were seen as important. Staff also valued the importance of aftercare and follow-up, and highlighted the fact that the patient should be given a chance to keep in close contact with care and treatment staff, even after their active treatment process has finished. Conclusion: Health care staff recognized the same success factors for optimal breast cancer care and treatment pathways as patients reported in previous studies, yet more emphasis was put on patient characteristics and the technical performance features of the process. Both patient and staff viewpoints should be taken into account in planning breast cancer care pathways.