Management of ischiopagus twin separation with a focus on W–S incision design
The study examines ischiopagus twin separation, a complex procedure due to shared spinal, neural, and visceral structures. From a plastic surgery perspective, one key challenge is covering large parietal defects created during separation. The report outlines incision design strategies that help minimize morbidity and improve coverage, particularly in the abdominal and perineal areas.
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March 24, 2021
Fast-track VR for Cardiac Imaging in Congenital Heart Disease
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We sought to evaluate the appropriateness of cardiac anatomy renderings by a new virtual reality (VR) technology, entitled DIVA, directly applicable to raw MRI imaging data without intermediate segmentation steps in comparison to standard 3D rendering techniques (3D PDF and 3D printing). Differences in post processing times were also evaluated.
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March 16, 2021
Partial breast resection for multifocal lower quadrant breast tumour using virtual reality
Oncoplastic surgery allows an increase in the number of indications for conservative breast cancer treatments. However, uncertainty as to whether it can be performed still exists in certain situations such as with multicentric or multifocal lesions, even when the breast volume can accommodate it. With the aid of a virtual reality software, DIVA, allowing the precise visualisation of tumours and breast volumes based entirely on the patient’s MRI, we report the ability to rapidly confirm and secure an indication for partial surgery of multiple lesions in a 31-year-old patient. With the described approach, the patient did not have to suffer significant disfigurement from cancerous breast surgery without compromising safety.
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November 12, 2021
Breast Magnetic Resonance Image Analysis for Surgeons Using Virtual Reality: A Comparative Study
The treatment of breast cancer, the leading cause of cancer and cancer mortality among women worldwide, is mainly on the basis of surgery. In this study, we describe the use of a medical image visualization tool on the basis of virtual reality (VR), entitled DIVA, in the context of breast cancer tumor localization among surgeons. The aim of this study was to evaluate the speed and accuracy of surgeons using DIVA for medical image analysis of breast magnetic resonance image (MRI) scans relative to standard image slice-based visualization tools.
