[Extended Reality (XR) - Applications in Thoracic Surgery]. / Einsatz von erweiterten Realitäten (XR) in der Thoraxchirurgie.

Extended reality (XR) includes the sub-terms of virtual reality (VR), augmented reality (AR) and mixed reality (MR) and describes interactive and immersive technologies that replace the real world with digital elements or seamlessly extend it with such approaches. XR thus offers a very wide range of possible applications in medicine. In surgery, and thoracic surgery in particular, XR technologies can be harnessed for treatment planning, navigation, training, and patient information. Such applications are increasingly being tested and need to be evaluated. We provide an overview of the status quo of technical development, current surgical applications of XR, and look into the future of the medical XR landscape with integration of artificial intelligence (AI).

A System for Mixed-Reality Holographic Overlays of Real-Time Rendered 3D-Reconstructed Imaging Using a Video Pass-through Head-Mounted Display-A Pathway to Future Navigation in Chest Wall Surgery.

Background: Three-dimensional reconstructions of state-of-the-art high-resolution imaging are progressively being used more for preprocedural assessment in thoracic surgery. It is a promising tool that aims to improve patient-specific treatment planning, for example, for minimally invasive or robotic-assisted lung resections. Increasingly available mixed-reality hardware based on video pass-through technology enables the projection of image data as a hologram onto the patient. We describe the novel method of real-time 3D surgical planning in a mixed-reality setting by presenting three representative cases utilizing volume rendering. Materials: A mixed-reality system was set up using a high-performance workstation running a video pass-through-based head-mounted display. Image data from computer tomography were imported and volume-rendered in real-time to be customized through live editing. The image-based hologram was projected onto the patient, highlighting the regions of interest. Results: Three oncological cases were selected to explore the potentials of the mixed-reality system. Two of them presented large tumor masses in the thoracic cavity, while a third case presented an unclear lesion of the chest wall. We aligned real-time rendered 3D holographic image data onto the patient allowing us to investigate the relationship between anatomical structures and their respective body position. Conclusions: The exploration of holographic overlay has proven to be promising in improving preprocedural surgical planning, particularly for complex oncological tasks in the thoracic surgical field. Further studies on outcome-related surgical planning and navigation should therefore be conducted. Ongoing technological progress of extended reality hardware and intelligent software features will most likely enhance applicability and the range of use in surgical fields within the near future.

Collaborative Virtual Reality Real-Time 3D Image Editing for Chest Wall Resections and Reconstruction Planning.

The integration of extended reality (XR) technologies into health care procedures presents transformative opportunities, particularly in surgical processes. This study delves into the utilization of virtual reality (VR) for preoperative planning related to chest wall resections in thoracic surgery. Leveraging the capabilities of 3-dimensional (3D) imaging, real-time visualization, and collaborative VR environments, surgeons gain enhanced anatomical insights and can develop predictive surgical strategies. Two clinical cases highlighted the effectiveness of this approach, showcasing the potential for personalized and intricate surgical planning. The setup provides an immersive, dynamic representation of real patient data, enabling collaboration among teams from separate locations. While VR offers enhanced interactive and visualization capabilities, preliminary evidence suggests it may support more refined preoperative strategies, potentially influence postoperative outcomes, and optimize resource management. However, its comparative advantage over traditional methods needs further empirical validation. Emphasizing the potential of XR, this exploration suggests its broad implications in thoracic surgery, especially when dealing with complex cases requiring multidisciplinary collaboration in the immersive virtual space, often referred to as the metaverse. This innovative approach necessitates further examination, marking a shift toward future surgical preparations. In this article, we sought to demonstrate the technique of an immersive real-time volume-rendered collaborative VR-planning tool using exemplary case studies in chest wall surgery.

Multidisciplinary Postoperative Validation of 18F-FDG PET/CT Scan in Nodal Staging of Resected Non-Small Cell Lung Cancer.

BACKGROUND: The aim of this study was to examine the validity of PET/CT scans in the preoperative identification of lymph node metastases (LNM) and compare them with postoperative outcomes. METHODS: In this retrospective study, we included 87 patients with a solitary lung nodule or biopsy-proven non-small cell lung cancer treated in our institution from 2009 to 2015. Patients were divided into two groups and four subgroups, depending on pre- and postoperative findings. RESULTS: According to our analysis, PET/CT scan has a sensitivity of 50%, a specificity of 88.89%, a positive predictive value of 63.16%, and a negative predictive value of 82.35%. Among the patients, 13.8% were downstaged in PET-CT, while 8% were upstaged. In 78.2% of cases, the PET/CT evaluation was consistent with the histology. Metastases without extracapsular invasion were seldom recognized on PET/CT. CONCLUSIONS: This analysis showed the significance of extracapsular tumor invasion, which causes an inflammatory reaction, on LNM, which is probably responsible for preoperative false-positive findings. In conclusion, PET/CT scans are very effective in identifying patients without tumors. Furthermore, it is highly probable that patients with negative findings are free of disease.

Role of Pre-Operative Brain Imaging in Patients with NSCLC Stage I: A Retrospective, Multicenter Analysis.

Background: Lung cancer is the worldwide leading oncological cause of death in both genders combined and accounts for around 40-50% of brain metastases in general. In early-stage lung cancer, the incidence of brain metastases is around 3%. Since the early detection of asymptomatic cerebral metastases is of prognostic value, the aim of this study was to analyze the incidence of brain metastases in early-stage lung cancer and identify possible risk factors. Methods: We conducted a retrospective multicentric analysis of patients with Stage I (based on T and N stage only) Non-Small Cell Lung Cancer (NSCLC) who had received preoperative cerebral imaging in the form of contrast-enhanced CT or MRI. Patients with a history of NSCLC, synchronous malignancy, or neurological symptoms were excluded from the study. Analyzed variables were gender, age, tumor histology, cerebral imaging findings, smoking history, and tumor size. Results were expressed as mean with standard deviation or median with range. Results: In total, 577 patients were included in our study. Eight (1.4%) patients were found to have brain metastases in preoperative brain imaging. Tumor histology was adenocarcinoma in all eight cases. Patients were treated with radiotherapy (five), surgical resection (two), or both (one) prior to thoracic surgical treatment. Other than tumor histology, no statistically significant characteristics were found to be predictive of brain metastases. Conclusion: Given the low incidence of brain metastases in patients with clinical Stage I NSCLC, brain imaging in this cohort could be avoided.

The role of wet lab in thoracic surgery.

During the last three decades, minimally invasive surgery has become common practice in all kinds of surgical disciplines and, in Thoracic Surgery, the minimally invasive approach is recommended as the treatment of choice for early-stage non-small cell lung cancer. Nevertheless, all over the world a large number of lobectomies is still performed by conventional open thoracotomy and not as video-assisted thoracic surgery (VATS), which shows the need of a proper training for this technique. Development and improvement of surgical skills are not only challenging and time-consuming components of the training curriculum for resident or fellow surgeons, but also for more experienced consultants learning new techniques. The rapid evolution of medical technologies like VATS or robotic surgery requires an evolution of the existing educational models to improve cognitive and procedural skills before reaching the operating room in order to increase patient safety. Nowadays, in the Thoracic Surgery field, there is a wide range of simulation-based training methods for surgeons starting or wanting to improve their learning curve in VATS. Aim is to overcome the learning curve required to successfully master this new technique in a brief time. In general, the basic difference between the various learning techniques is the distinction between "dry" and "wet" lab modules, which mainly reflects the use of synthetic or animal-model-based materials. Wet lab trainings can be further sub-divided into in vivo modules, where living anaesthetized animals are used, and ex vivo modules, where only animal tissues serve as basis of the simulation-based training method. In the literature, the role of wet lab in Thoracic Surgery is still debated.