Publications by authors named "Antonia Pontiki"

Background: Penile implant surgery is the standard surgical treatment for end-stage erectile dysfunction. However, the growing complexity of modern high-tech penile prostheses has increased the demand for more practical training opportunities. The most advanced contemporary training methods involve simulation training using cadavers, with costs exceeding $5,000 per cadaver, inclusive of biohazard fees.

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Cardiac catheterization for congenital heart disease (CHD) performed under fluoroscopic guidance still lacks definition and requires exposure to ionizing radiation and contrast agents, with most patients needing multiple procedures through their lifetime, leading to cumulative radiation risks. While fusion overlay techniques have been employed in the past to aid, these have been limited to a single plane, while interventions are traditionally performed under biplane fluoroscopy. We describe our initial experience performing cardiac catheterizations guided by an enhanced biplane GuideCCI system (Siemens Healthcare, Germany) augmented by 3D magnetic resonance imaging and computed tomography modeling.

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Advances in technology allowing the combination of medical imaging and three-dimensional printing have greatly benefitted thoracic surgery, allowing for the creation of complex prostheses. Surgical education is also a significant application of three-dimensional printing, especially for the development of simulation-based training models. Aiming to show how three-dimensional printing can benefit patients and clinicians in thoracic surgery, an optimized method to create patient-specific chest wall prosthesis using three-dimensional printing was developed and clinically validated.

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Management of chest wall defects after oncologic resection can be challenging, depending on the size and location of the defect, as well as the method of reconstruction. This report presents the first clinical case where patient-specific rib prostheses were created using a computer program and statistical shape model of human ribs. A 64-year-old male was diagnosed with non-small-cell lung cancer originating in the right upper lobe and invading the lateral aspect of the 3rd, 4th, and 5th ribs.

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Patients with advanced cancer undergoing chest wall resection may require reconstruction. Currently, rib prostheses are created by segmenting computed tomography images, which is time-consuming and labour intensive. The aim was to optimise the production of digital rib models based on a patient's age, weight, height and gender.

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Background: Tumors involving the chest wall may require extensive resection and reconstruction. This study aims to evaluate functional, cosmetic results, and quality of life (QoL) in patients who had a reconstruction based on patient-specific 3-dimensional (3D) printing.

Methods: The patient-specific chest wall prosthesis was created for 10 patients.

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The aim of the study was to assess the degree of aerosolisation in different chest drainage systems according to different air leak volumes, in a simulated environment. This novel simulation model was designed to produce an air leak by passing air through and agitating a fluorescent fluid. The air leak volume and amount of fluorescent fluid were tested in various combinations and aerosolisation was assessed at 10-minute intervals using the ultraviolet light.

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Novel commercially available software has enabled registration of both CT and MRI images to rapidly fuse with X-ray fluoroscopic imaging. We describe our initial experience performing cardiac catheterisations with the guidance of 3D imaging overlay using the VesselNavigator system (Philips Healthcare, Best, NL). A total of 33 patients with CHD were included in our study.

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Objectives: Patients undergoing surgery for locally advanced lung cancer involving the chest wall require anatomical lung with extensive en-bloc chest wall resection and appropriate reconstruction.In this proof-of-concept study, we aimed to produce personalized three-dimensional (3D)-printed chest wall prosthesis for a patient undergoing chest wall resection and reconstruction using clinically obtained computed tomography (CT) data.

Methods: Preoperative CT scans of three patients undergoing chest wall resection were analyzed and the areas of resection segmented.

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