Microsurgical reconstructive head and neck cancer patients are at high risk of venous thromboembolism. The use of anticoagulation can reduce their risk; however, this also increases their bleeding risk. It is not clear whether the benefits of treatment outweigh the risks, and whether a specific post-operative anticoagulation regime is superior. The aim of this review is to evaluate the evidence pertaining to the risks and benefits of post-operative anticoagulation and to provide a rationale for its use in head and neck cancer patients receiving free flaps. The secondary aim was to determine the optimal post-operative anticoagulation regimen. A search was conducted in the PubMed and EMBASE databases identifying studies reporting venous thromboembolism rates in reconstructive head and neck cancer patients undergoing free flaps. These studies were reviewed for their eligibility. Outcomes measured were rates of venous thromboembolism, bleeding-related and microsurgical complications. A total of 306 studies were found from the search with another seven studies identified from citations of key articles. After assessment, nine studies were included. Venous thromboembolism rates ranged from 0.5% to 7% and the rates of bleeding-related complications ranged from 2.4% up to 29%. Anticoagulation appears to lower the risk of venous thromboembolism in this patient group, but also increases the bleeding risk. Risk stratification using the Caprini risk assessment model can help surgeons make decisions. For patients with cancer, low molecular weight heparin appears to be superior to heparin given twice daily but equal to heparin given three times daily and the bleeding risk of each medication appears similar.
Breast cancer management is multidisciplinary, and while oncologic surgery, adjuvant therapy, and psychological therapies are central to this, breast reconstruction also forms an integral part of management [...]
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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