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Yogev D, Tejman-Yarden S, Feinberg O, Parmet Y, Goldberg T, Illouz S, Nagar N, Freidin D, Vazgovsky O, Chatterji S, Salem Y, Katz U, Goitein O. Proof of concept: Comparative accuracy of semiautomated VR modeling for volumetric analysis of the heart ventricles. Heliyon 2022; 8:e11250. [PMID: 36387466 PMCID: PMC9641195 DOI: 10.1016/j.heliyon.2022.e11250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction Simpson's rule is generally used to estimate cardiac volumes. By contrast, modern methods such as Virtual Reality (VR) utilize mesh modeling to present the object's surface spatial structure, thus enabling intricate volumetric calculations. In this study, two types of semiautomated VR models for cardiac volumetric analysis were compared to the standard Philips dedicated cardiac imaging platform (PDP) which is based on Simpson's rule calculations. Methods This retrospective report examined the cardiac computed tomography angiography (CCTA) of twenty patients with atrial fibrillation obtained prior to a left atrial appendage occlusion procedure. We employed two VR models to evaluate each CCTA and compared them to the PDP: a VR model with Philips-similar segmentations (VR-PS) that included the trabeculae and the papillary muscles within the luminal volume, and a VR model that only included the inner blood pool (VR-IBP). Results Comparison of the VR-PS and the PDP left ventricle (LV) volumes demonstrated excellent correlation with a ρc of 0.983 (95% CI 0.96, 0.99), and a small mean difference and range. The calculated volumes of the right ventricle (RV) had a somewhat lower correlation of 0.89 (95% CI 0.781, 0.95), a small mean difference, and a broader range. The VR-IBP chamber size estimations were significantly smaller than the estimates based on the PDP. Discussion Simpson's rule and polygon summation algorithms produce similar results in normal morphological LVs. However, this correlation failed to emerge when applied to RVs and irregular chambers. Conclusions The findings suggest that the polygon summation method is preferable for RV and irregular LV volume and function calculations.
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Affiliation(s)
- David Yogev
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
| | - Shai Tejman-Yarden
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
- The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel
- Corresponding author.
| | - Omer Feinberg
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
| | - Yisrael Parmet
- Department of Industrial Engineering and Management, Ben Gurion University, Beer Sheva, Israel
| | - Tomer Goldberg
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shay Illouz
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
| | - Netanel Nagar
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
- Industrial Design Department, Bezalel Academy of Art and Design, Jerusalem, Israel
| | - Dor Freidin
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
| | - Oliana Vazgovsky
- The Engineering Medical Research Lab, Sheba Medical Center, Ramat Gan, Israel
- The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel
| | - Sumit Chatterji
- The Pulmonology Unit, Sheba Medical Center, Ramat Gan, Israel
- Interventional Pulmonology Unit, Sheba Medical Center, Ramat Gan, Israel
| | - Yishay Salem
- The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel
- The Leviev Heart Institute, Sheba Medical Center, Ramat Gan, Israel
| | - Uriel Katz
- The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel
- The Leviev Heart Institute, Sheba Medical Center, Ramat Gan, Israel
| | - Orly Goitein
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
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Singh GD, Singh M. Virtual Surgical Planning: Modeling from the Present to the Future. J Clin Med 2021; 10:jcm10235655. [PMID: 34884359 PMCID: PMC8658225 DOI: 10.3390/jcm10235655] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/19/2021] [Accepted: 11/23/2021] [Indexed: 11/16/2022] Open
Abstract
Virtual surgery planning is a non-invasive procedure, which uses digital clinical data for diagnostic, procedure selection and treatment planning purposes, including the forecast of potential outcomes. The technique begins with 3D data acquisition, using various methods, which may or may not utilize ionizing radiation, such as 3D stereophotogrammetry, 3D cone-beam CT scans, etc. Regardless of the imaging technique selected, landmark selection, whether it is manual or automated, is the key to transforming clinical data into objects that can be interrogated in virtual space. As a prerequisite, the data require alignment and correspondence such that pre- and post-operative configurations can be compared in real and statistical shape space. In addition, these data permit predictive modeling, using either model-based, data-based or hybrid modeling. These approaches provide perspectives for the development of customized surgical procedures and medical devices with accuracy, precision and intelligence. Therefore, this review briefly summarizes the current state of virtual surgery planning.
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Affiliation(s)
- G. Dave Singh
- Virtual Craniofacial Laboratory, Stanford University, Stanford, CA 94301, USA
- Correspondence: ; Tel.: +1-720-924-9929
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