The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction

Mavioso, Carlos; Anacleto, João; Vasconcelos, M. Teresa S. D.; Araújo, Ricardo J.; Oliveira, Hélder P.; Pinto, Décio dos Santos; Gouveia, Pedro; Alves, C.; Cardoso, Fátima; Cardoso, Jaime S.; Cardoso, Maria João

doi:10.1016/s0959-8049(18)30448-9

Cited by 1 publication

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“…AI offers multiple possible benefits: potentially superior predictive accuracy, time savings for clinicians, and greater reliability. Mavioso et al in 2020 demonstrated some of these benefits in their study analysing the efficacy of a semi-automatic model in identifying perforators in the preoperative planning of a DIEP flap [ 119 , 120 ]. They found that the AI algorithm resulted in approximately 80 h being saved for the 40 patients included in the study [ 119 ].…”

Section: Artificial Intelligence In Pre-operative Planningmentioning

confidence: 99%

A History of Innovation: Tracing the Evolution of Imaging Modalities for the Preoperative Planning of Microsurgical Breast Reconstruction

Cevik

Seth

Hunter-Smith

et al. 2023

JCM

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Breast reconstruction is an essential component in the multidisciplinary management of breast cancer patients. Over the years, preoperative planning has played a pivotal role in assisting surgeons in planning operative decisions prior to the day of surgery. The evolution of preoperative planning can be traced back to the introduction of modalities such as ultrasound and colour duplex ultrasonography, enabling surgeons to evaluate the donor site’s vasculature and thereby plan operations more accurately. However, the limitations of these techniques paved the way for the implementation of modern three-dimensional imaging technologies. With the advancements in 3D imaging, including computed tomography and magnetic resonance imaging, surgeons gained the ability to obtain detailed anatomical information. Moreover, numerous adjuncts have been developed to aid in the planning process. The integration of 3D-printing technologies has made significant contributions, enabling surgeons to create complex haptic models of the underlying anatomy. Direct infrared thermography provides a non-invasive, visual assessment of abdominal wall vascular physiology. Additionally, augmented reality technologies are poised to reshape surgical planning by providing an immersive and interactive environment for surgeons to visualize and manipulate 3D reconstructions. Still, the future of preoperative planning in breast reconstruction holds immense promise. Most recently, artificial intelligence algorithms, utilising machine learning and deep learning techniques, have the potential to automate and enhance preoperative planning processes. This review provides a comprehensive assessment of the history of innovation in preoperative planning for breast reconstruction, while also outlining key future directions, and the impact of artificial intelligence in this field.

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Section: Artificial Intelligence In Pre-operative Planningmentioning

confidence: 99%