Augmented Reality in Breast Surgery Education

Gouveia, Pedro; Luna, Rogélio; Fontes, Francisco; Pinto, David; Mavioso, Carlos; Anacleto, João; Timoteo, Rafaela; Santinha, João; Marques, Tiago; Cardoso, Fátima; Cardoso, M.J.

doi:10.1159/000529587

Cited by 7 publications

(5 citation statements)

References 21 publications

(28 reference statements)

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“…Although promising research has been published, AR applications in breast surgery are still evolving, and the technology’s maturity needs to be carefully assessed for clinical adoption. Also, AR systems used in medical settings must undergo rigorous certification processes to ensure compliance with medical device regulations ( 103 , 104 ). Limitations of AR localization include lack of interoperability between healthcare systems, video flickering problem intraoperatively ( 103 ).…”

Section: Localization Methods For Non-palpable Breast Lesionsmentioning

confidence: 99%

“…Also, AR systems used in medical settings must undergo rigorous certification processes to ensure compliance with medical device regulations ( 103 , 104 ). Limitations of AR localization include lack of interoperability between healthcare systems, video flickering problem intraoperatively ( 103 ).…”

Section: Localization Methods For Non-palpable Breast Lesionsmentioning

confidence: 99%

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Evolution of localization methods for non-palpable breast lesions: a literature review from a translational medicine perspective

Cheung,

Co,

Lui

et al. 2024

Transl Breast Cancer Res

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Background and Objective With an increasing number of non-palpable breast lesions detected due to improved screening, accurate localization of these lesions for surgery is crucial. This literature review explores the evolution of localization methods for non-palpable breast lesions, highlighting the translational journey from concept to clinical practice. Methods A comprehensive search of PubMed, Embase, and Scopus databases until September 2023 was conducted. Key Content and Findings Multiple methods have been developed throughout the past few decades. (I) Wire-guided localization (WGL) introduced in 1966, has become a reliable method for localization. Its simplicity and cost-effectiveness are its key advantages, but challenges include logistical constraints, patient discomfort, and potential wire migration. (II) Intraoperative ultrasound localization (IOUS) has shown promise in ensuring complete lesion removal with higher negative margin rates. However, its utility is limited to lesions visible on ultrasound (US) imaging. (III) Breast biopsy marker localization: the use of markers has improved the precision of localization without the need for wire. However, marker visibility remains a challenge despite improvements in their design. (IV) Radioactive techniques: radio-guided occult lesion localization (ROLL) and radioactive seed localization (RSL) offer flexibility in scheduling and improved patient comfort. However, they require close multidisciplinary collaboration and specific equipment due to radioactive concerns. (V) Other wireless non-radioactive techniques: wireless non-radioactive techniques have been developed in recent three decades to provide flexible and patient-friendly alternatives. It includes magnetic seed localization, radar techniques, and radiofrequency techniques. Their usage has been gaining popularity due to their safety profile and allowance of more flexible scheduling. However, their high cost and need for additional training remain a barrier to a wider adoption. Conclusions The evolution of breast lesion localization methods has progressed to more patient-friendly techniques, each with its unique advantages and limitations. Future research on patient-reported outcomes, cosmetic outcomes, breast biopsy markers and integration of augmented reality with breast lesion localization are needed.

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Section: Localization Methods For Non-palpable Breast Lesionsmentioning

confidence: 99%

Section: Localization Methods For Non-palpable Breast Lesionsmentioning

confidence: 99%

Evolution of localization methods for non-palpable breast lesions: a literature review from a translational medicine perspective

Cheung,

Co,

Lui

et al. 2024

Transl Breast Cancer Res

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“…Real-time data collecting, ML-aided processing, and visualization are anticipated goals for using AR technologies in the healthcare sector. The study in [26] focuses on the potential future application of AR in breast surgery education, describing two prospective applications (surgical remote telementoring and impalpable breast cancer localization using AR) as well as the technical requirements to make it viable.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Survey on the Investigation of Machine-Learning-Powered Augmented Reality Applications in Education

Khan,

Jamil,

Piran

et al. 2024

Technologies

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Machine learning (ML) is enabling augmented reality (AR) to gain popularity in various fields, including gaming, entertainment, healthcare, and education. ML enhances AR applications in education by providing accurate visualizations of objects. For AR systems, ML algorithms facilitate the recognition of objects and gestures from kindergarten through university. The purpose of this survey is to provide an overview of various ways in which ML techniques can be applied within the field of AR within education. The first step is to describe the background of AR. In the next step, we discuss the ML models that are used in AR education applications. Additionally, we discuss how ML is used in AR. Each subgroup’s challenges and solutions can be identified by analyzing these frameworks. In addition, we outline several research gaps and future research directions in ML-based AR frameworks for education.

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“…Access is provided not only to content, such as articles, research papers, and videos, but also webinars and live-streamed procedures that facilitate education and promote new diagnostic and therapeutic strategies [12]. Telementoring and surgery through the use of artificial intelligence are closer than ever [13].…”

Section: The Goodmentioning

confidence: 99%