Patients' Perceptions and Attitudes to the Use of Artificial Intelligence in Breast Cancer Diagnosis: A Narrative Review

Breast cancer remains the most prevalent cancer among women worldwide, necessitating advancements in diagnostic methods. The integration of artificial intelligence (AI) into mammography has shown promise in enhancing diagnostic accuracy. However, understanding patient perspectives, particularly considering the psychological impact of breast cancer diagnoses, is crucial. This narrative review synthesizes literature from 2000 to 2023 to examine breast cancer patients' attitudes towards AI in breast imaging, focusing on trust, acceptance, and demographic influences on these views. Methodologically, we employed a systematic literature search across databases such as PubMed, Embase, Medline, and Scopus, selecting studies that provided insights into patients' perceptions of AI in diagnostics. Our review included a sample of seven key studies after rigorous screening, reflecting varied patient trust and acceptance levels towards AI. Overall, we found a clear preference among patients for AI to augment rather than replace the diagnostic process, emphasizing the necessity of radiologists' expertise in conjunction with AI to enhance decision-making accuracy. This paper highlights the importance of aligning AI implementation in clinical settings with patient needs and expectations, emphasizing the need for human interaction in healthcare. Our findings advocate for a model where AI augments the diagnostic process, underlining the necessity for educational efforts to mitigate concerns and enhance patient trust in AI-enhanced diagnostics.

Advancements in Standardizing Radiological Reports: A Comprehensive Review

Standardized radiological reports stimulate debate in the medical imaging field. This review paper explores the advantages and challenges of standardized reporting. Standardized reporting can offer improved clarity and efficiency of communication among radiologists and the multidisciplinary team. However, challenges include limited flexibility, initially increased time and effort, and potential user experience issues. The efforts toward standardization are examined, encompassing the establishment of reporting templates, use of common imaging lexicons, and integration of clinical decision support tools. Recent technological advancements, including multimedia-enhanced reporting and AI-driven solutions, are discussed for their potential to improve the standardization process. Organizations such as the ACR, ESUR, RSNA, and ESR have developed standardized reporting systems, templates, and platforms to promote uniformity and collaboration. However, challenges remain in terms of workflow adjustments, language and format variability, and the need for validation. The review concludes by presenting a set of ten essential rules for creating standardized radiology reports, emphasizing clarity, consistency, and adherence to structured formats.

Safety of autologous fat grafting in breast cancer: a multicenter Italian study among 17 senonetwork breast units autologous fat grafting safety: a multicenter Italian retrospective study

BACKGROUND

Autologous fat grafting (AFG), defined as the re-implant to the breast of fat tissue from different body areas, has been firstly applied to esthetic plastic surgery and then has moved to reconstructive surgery, mainly used for scar correction and opposite breast altering. Nevertheless, due to the potentially unsafe stem-like properties of adipocytes at the tumoral bed level, no clear evidence of the procedure's oncological safety has been clearly documented at present.

PATIENTS AND METHODS

We retrospectively collected data of early breast cancer (BC) patients from 17 Italian Breast Units and assessed differences in terms of locoregional recurrence rate (LRR) and locoregional recurrence-free survival (LRFS) between patients who underwent AFG and patients who did not. Differences were analyzed in the entire cohort of invasive tumors and in different subgroups, according to prognostic biological subtypes.

RESULTS

With a median follow-up time of 60 months, LRR was 5.3% (n = 71) in the matched population, 3.9% (n = 18) in the AFG group, and 6.1% (n = 53) in the non-AFG group, suggesting non-inferiority of AFG (p = 0.084). Building Kaplan-Meier curves confirmed non-inferiority of the AFG procedure for LRFS (aHR 0.73, 95% CI 0.41-1.30, p = 0.291). The same effect, in terms of LRFS, was also documented among different biological subtypes (luminal-like group, aHR 0.76, 95% CI 0.34-1.68, p = 0.493; HER2 enriched-like, aHR 0.89, 95% CI 0.19-4.22, p = 0.882; and TNBC, aHR 0.61, 95% CI 0.12-2.98, p = 0.543).

CONCLUSIONS

Our study confirms in a very large, multicenter cohort of early BC patients that, aside the well-known benefits on the esthetic result, AFG do not interfere negatively with cancer prognosis.