First use of a new extended reality tool for preoperative planning in coronary artery bypass surgery: a case-report.
Sulayman El MathariAlexander BroersenJouke DijkstraAmir H SadeghiBastiaan GrisèlRobert A F de Lind van WijngaardenRobert J M KlautzJolanda KluinPublished in: Journal of surgical case reports (2024)
A 73-year-old male presented with angina symptoms and was diagnosed with three-vessel coronary artery disease by use of computed tomography angiography and coronary angiography. This diagnosis necessitated coronary artery bypass grafting (CABG) surgery. A custom made AI-driven algorithm was used to generate a patient-specific three-dimensional coronary artery model from computed tomography angiography imaging data. This framework enabled precise segmentation and reconstruction of the coronary vasculature, yielding an accurate anatomical and pathological representation. Subsequently, this generated model was integrated into a novel extended reality tool for preoperative planning and intraoperative guidance in CABG surgery. Both preoperatively and intraoperatively, the tool augmented spatial orientation and facilitated precise stenosis localization, thereby enhancing the surgeon's operative proficiency. This case report underscores the utility of advanced extended reality tools in cardiovascular surgery, emphasizing their pivotal role in refining surgical planning and execution.
Keyphrases
- coronary artery bypass
- percutaneous coronary intervention
- coronary artery disease
- coronary artery bypass grafting
- coronary artery
- minimally invasive
- acute coronary syndrome
- patients undergoing
- case report
- pulmonary artery
- deep learning
- cardiovascular events
- high resolution
- machine learning
- heart failure
- magnetic resonance imaging
- virtual reality
- atrial fibrillation
- magnetic resonance
- artificial intelligence
- physical activity
- aortic stenosis
- mass spectrometry
- image quality
- robot assisted