ABSTRACT
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).
Subject(s)
Medicine , Thoracic Surgery , Thoracic Surgical Procedures , Virtual Reality , Humans , Artificial IntelligenceABSTRACT
Acute abdominal pain is a common presenting symptom in the emergency department and represents heterogeneous causes and diagnoses. There is often a decision to be made regarding emergency surgical care. Machine learning (ML) could be used here as a decision-support and relieve the time and personnel resource shortage.Patients with acute abdominal pain presenting to the Department of Surgery at Bonn University Hospital in 2020 and 2021 were retrospectively analyzed. Clinical parameters as well as laboratory values were used as predictors. After randomly splitting into a training and test data set (ratio 80 to 20), three ML algorithms were comparatively trained and validated. The entire procedure was repeated 20 times.A total of 1357 patients were identified and included in the analysis, with one in five (n = 276, 20.3%) requiring emergency abdominal surgery within 24 hours. Patients operated on were more likely to be male (p = 0.026), older (p = 0.006), had more gastrointestinal symptoms (nausea: p < 0.001, vomiting p < 0.001) as well as a more recent onset of pain (p < 0.001). Tenderness (p < 0.001) and guarding (p < 0.001) were more common in surgically treated patients and blood analyses showed increased inflammation levels (white blood cell count: p < 0.001, CRP: p < 0.001) and onset of organ dysfunction (creatinine: p < 0.014, quick p < 0.001). Of the three trained algorithms, the tree-based methods (h2o random forest and cforest) showed the best performance. The algorithms classified patients, i.e., predicted surgery, with a median AUC ROC of 0.81 and 0.79 and AUC PRC of 0.56 in test sets.A proof-of-concept was achieved with the development of an ML model for predicting timely surgical therapy for acute abdomen. The ML algorithm can be a valuable tool in decision-making. Especially in the context of heavily used medical resources, the algorithm can help to use these scarce resources more effectively. Technological progress, especially regarding artificial intelligence, increasingly enables evidence-based approaches in surgery but requires a strictly interdisciplinary approach. In the future, the use and handling of ML should be integrated into surgical training.
Subject(s)
Abdomen, Acute , Humans , Artificial Intelligence , Retrospective Studies , Machine Learning , AlgorithmsABSTRACT
The increasing diffusion of the robotic-assisted technique in thoracic surgery (RATS) in Germany was initially delayed in comparison with other countries. Therefore, there is a large potential to implement the volume of the surgical procedures performed by RATS.The RATS-technique has many positive aspects. For example, the angulated instruments allow a full wristed dexterity like the human hand, but with a greater range of motion. The surgical Robot has a tremor filter and replicates perfectly the surgeon's movements. Furthermore, the 3D-scope enables an image magnification up to 10 times compared to the normal thoracoscopes. The RATS has also some disadvantages. For example, the operating surgeon sits far away from the patient and is not sterile while performing surgery. This is an important factor in in case of emergency situations, like major bleeding, which often require a conversion to thoracotomy.All robotic systems are built after the same master-slave technology, that allows the operating surgeon to have full control of the master system. The slave system consists of mechanical actuators that respond to the master system's inputs, so the surgical robot will translate every single movement of the surgeon at the console.The main surgical indications for RATS are: mediastinal tumors, diaphragm plication and anatomical lung resection like segment resections, lobectomies or sleeve resections.In the future, the implementation of virtual and augmented reality is expected in the training but also in the planning of RATS-operations.
Subject(s)
Robotics , Thoracic Surgery , Thoracic Surgical Procedures , Humans , Pneumonectomy , ThoracotomyABSTRACT
INTRODUCTION: Short-bowel-syndrome (SBS) is an often chronic disease with high morbidity. The aim of this study was to evaluate the complexity of SBS treatment and the economic burden on a treating hospital. METHODS: Anonymized data of eleven consecutive SBS patients from the University Hospital of Bonn were included. Parameters of medical resources were considered for year of diagnosis (YOD) and a follow-up (FU) period of three years. Subsequently, costs were evaluated according to the corresponding catalogues. RESULTS: Median inpatient days were 96 days in YOD and decreased to three days in the third year of FU. Median cost of inpatient treatment decreased from approximately 84â500â auf 3200â. While major visceral surgery was usually required in the YOD, catheter-associated interventions dominated during further FU. Actual reimbursement according to the G-DRG covered approximately 50â% of inpatient treatment cost, for outpatient care only est. 16.5â% of costs were covered. Annual costs for medication, parenteral nutrition and GLP-2-analogon treatment added up to 6752â, 48â485â and 138â442â, respectively. CONCLUSIONS: The interdisciplinary medical care of SBS-patients is resource-intensive and expensive. The required treatment shifts from the in- to the outpatient sector. Both settings are at present not adequately reimbursed. Hence, this imbalance may endanger adequate care for SBS-patients in the future in times of economic rationale. In concordance with other rare disease management programs, additional measures are needed to provide and improve interdisciplinary treatment of SBS.
Subject(s)
Ambulatory Care/economics , Health Care Costs/standards , Hospitalization/economics , Patient Care Team , Short Bowel Syndrome , Ambulatory Care/statistics & numerical data , Cost of Illness , Germany , Hospitalization/statistics & numerical data , HumansABSTRACT
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.
ABSTRACT
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.
Subject(s)
Surgeons , Thoracic Surgical Procedures , Thoracic Wall , Virtual Reality , Humans , Thoracic Wall/surgery , Imaging, Three-Dimensional/methodsABSTRACT
BACKGROUND: The median arcuate ligament syndrome (MALS) is a rare disease caused by compression of the celiac artery (ORPHA: 293208). Surgical treatment of MALS aims to restore normal celiac blood flow by laparoscopic celiac artery decompression. However, surgical success rates vary widely between patients, therefore adequate selection of patients is essential to improve surgical outcome. Symptoms of MALS might also overlap with other chronic multi-system disorders such as mast cell activation syndrome (MCAS). So far, no clinical or radiological parameter was found to be predictive of the postoperative outcome. We, therefore, aim to study preclinical parameters in one of the largest MALS cohorts with the focus to identify patients that would benefit from surgical MAL release. RESULTS: By analyzing 20 MALS patients that underwent surgical celiac artery decompression, we found 60% of patients (12/20) had a postoperative relief of their symptoms and a simultaneous decrease of analgetic use. No demographic, radiologic or operative parameter was able to predict postoperative symptom relief. However, mast cell activation syndrome correlated significantly (p = 0.04) with persistent symptoms after the operation. CONCLUSIONS: Overall, laparoscopic MAL release can provide immediate symptomatic relief. Despite the missing predictive value of demographic and imaging data, our data show a correlation between persistent symptoms and a co-existing mast cell activation syndrome. This suggests that MCAS symptoms might be interpreted as MALS symptoms in the presence of celiac artery stenosis and therefore surgical treatment should be evaluated carefully. Overall, the selection of patients who are most likely to respond to surgical MAL release may best be accomplished by an interdisciplinary team of gastroenterologists, radiologists and surgeons.