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The Value of Multidetector Row Computed Tomography Angiography for Preoperative Planning of Freestyle Pedicled Perforator Flaps. Ann Plast Surg 2017; 77:669-673. [PMID: 26835831 DOI: 10.1097/sap.0000000000000728] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Because the course and territory of perforators are different in each region, careful preoperative planning to identify the proper perforators can be critical to ensure a successful dissection of a freestyle pedicled perforator flap. In this study, our first experience for preoperative perforator mapping of a freestyle pedicled perforator flap using multidetector row computed tomography (MD-CT) angiography is presented. METHODS Twelve patients were planned to undergo various soft-tissue reconstructions with freestyle pedicled perforator flaps. They were evaluated with preoperative MD-CT angiography. The OsiriX for mac software was used to process the data obtained from MD-CT angiography. The available images from MD-CT angiography were analyzed to determine where the proper perforators were located for preoperative planning of a freestyle pedicled perforator flap. Through the MD-CT angiography, the optimal perforators were mapped and a reliable flap design could be made so that the flap was elevated more safely and perfectly to cover an adjacent soft-tissue defect. RESULTS In all 12 patients, each flap was elevated successfully based on the perforators mapped preoperatively with MD-CT angiography. A total of 27 perforators (1-3 perforators per flap) were identified by MD-CT angiography in 12 patients and later confirmed during the flap dissection (sensitivity, 100%). CONCLUSIONS The MD-CT angiography can be a new but very effective imaging modality for preoperative planning of a freestyle pedicled perforator flap surgery. It allows surgeons to accurately select the most appropriate perforators with the shortest intramuscular or suprafascial course preoperatively leading to safer and easier flap dissection.
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Athanasiou L, Rigas G, Sakellarios AI, Exarchos TP, Siogkas PK, Bourantas CV, Garcia-Garcia HM, Lemos PA, Falcao BA, Michalis LK, Parodi O, Vozzi F, Fotiadis DI. Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography--comparison and registration with IVUS. BMC Med Imaging 2016; 16:9. [PMID: 26785613 PMCID: PMC4719213 DOI: 10.1186/s12880-016-0111-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 01/13/2016] [Indexed: 12/02/2022] Open
Abstract
Background The aim of this study is to present a new methodology for three-dimensional (3D) reconstruction of coronary arteries and plaque morphology using Computed Tomography Angiography (CTA). Methods The methodology is summarized in six stages: 1) pre-processing of the initial raw images, 2) rough estimation of the lumen and outer vessel wall borders and approximation of the vessel’s centerline, 3) manual adaptation of plaque parameters, 4) accurate extraction of the luminal centerline, 5) detection of the lumen - outer vessel wall borders and calcium plaque region, and 6) finally 3D surface construction. Results The methodology was compared to the estimations of a recently presented Intravascular Ultrasound (IVUS) plaque characterization method. The correlation coefficients for calcium volume, surface area, length and angle vessel were 0.79, 0.86, 0.95 and 0.88, respectively. Additionally, when comparing the inner and outer vessel wall volumes of the reconstructed arteries produced by IVUS and CTA the observed correlation was 0.87 and 0.83, respectively. Conclusions The results indicated that the proposed methodology is fast and accurate and thus it is likely in the future to have applications in research and clinical arena.
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Affiliation(s)
- Lambros Athanasiou
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece
| | - George Rigas
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece
| | - Antonis I Sakellarios
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece
| | - Themis P Exarchos
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece.,FORTH-Institute of Molecular Biology and Biotechnology, Department of Biomedical Research, GR 45110, Ioannina, Greece
| | - Panagiotis K Siogkas
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece
| | - Christos V Bourantas
- Department of Cardiology, Barts Heart Centre, London, UK.,Department of Cardiovascular Science, University College London, London, UK
| | - Hector M Garcia-Garcia
- Department of Interventional Cardiology, Erasmus University Medical Centre, Thoraxcenter, Rotterdam, The Netherlands
| | - Pedro A Lemos
- Department of Interventional Cardiology, Heart Institute, University of São Paulo, Medical School, São Paulo, Brazil
| | - Breno A Falcao
- Department of Interventional Cardiology, Heart Institute, University of São Paulo, Medical School, São Paulo, Brazil
| | - Lampros K Michalis
- Michaelidion Cardiac Center and Department of Cardiology, Medical School, University of Ioannina, GR 45110, Ioannina, Greece
| | - Oberdan Parodi
- Michaelidion Cardiac Center and Department of Cardiology, Medical School, University of Ioannina, GR 45110, Ioannina, Greece
| | - Federico Vozzi
- Institute of Clinical Physiology, National Research Council, Pisa, IT 56124, Italy
| | - Dimitrios I Fotiadis
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, PO Box 1186, GR 45110, Ioannina, Greece. .,FORTH-Institute of Molecular Biology and Biotechnology, Department of Biomedical Research, GR 45110, Ioannina, Greece. .,Michaelidion Cardiac Center and Department of Cardiology, Medical School, University of Ioannina, GR 45110, Ioannina, Greece.
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