A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
Background: Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions. O...
| Main Authors: | , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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SciELO
2016
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| Online Access: | http://hdl.handle.net/1721.1/102791 https://orcid.org/0000-0002-7832-7156 |
| _version_ | 1826217911101947904 |
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| author | Falcão, Breno A. A. Falcão, João Luiz A. A. Morais, Gustavo R. Silva, Rafael C. Lopes, Augusto Celso de Araujo Soares, Paulo R. Mariani, Jose Kalil-Filho, Roberto Edelman, Elazer R. Lemos, Pedro A. |
| author2 | Institute for Medical Engineering and Science |
| author_facet | Institute for Medical Engineering and Science Falcão, Breno A. A. Falcão, João Luiz A. A. Morais, Gustavo R. Silva, Rafael C. Lopes, Augusto Celso de Araujo Soares, Paulo R. Mariani, Jose Kalil-Filho, Roberto Edelman, Elazer R. Lemos, Pedro A. |
| author_sort | Falcão, Breno A. A. |
| collection | MIT |
| description | Background: Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions. Objective: to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions. Methods: Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI. Results: According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH. Conclusions: Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression. |
| first_indexed | 2024-09-23T17:11:01Z |
| format | Article |
| id | mit-1721.1/102791 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T17:11:01Z |
| publishDate | 2016 |
| publisher | SciELO |
| record_format | dspace |
| spelling | mit-1721.1/1027912022-09-30T00:16:40Z A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions Falcão, Breno A. A. Falcão, João Luiz A. A. Morais, Gustavo R. Silva, Rafael C. Lopes, Augusto Celso de Araujo Soares, Paulo R. Mariani, Jose Kalil-Filho, Roberto Edelman, Elazer R. Lemos, Pedro A. Institute for Medical Engineering and Science Lopes, Augusto Celso de Araujo Edelman, Elazer R. Background: Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions. Objective: to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions. Methods: Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI. Results: According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH. Conclusions: Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression. Fundação de Amparo à Pesquisa do Estado de São Paulo 2016-06-01T19:46:24Z 2016-06-01T19:46:24Z 2015-04 2015-04 Article http://purl.org/eprint/type/JournalArticle 0066-782X http://hdl.handle.net/1721.1/102791 Falcão, Breno A. A., João Luiz A. A. Falcão, Gustavo R. Morais, Rafael C. Silva, Augusto C. Lopes, Paulo R. Soares, José Mariani, Roberto Kalil-, Elazer R. Edelman, and Pedro A. Lemos. “A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions.” Arquivos Brasileiros de Cardiologia (2015)105:4 p.390-398. https://orcid.org/0000-0002-7832-7156 en_US http://dx.doi.org/10.5935/abc.20150098 Arquivos Brasileiros de Cardiologia Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf SciELO PMC |
| spellingShingle | Falcão, Breno A. A. Falcão, João Luiz A. A. Morais, Gustavo R. Silva, Rafael C. Lopes, Augusto Celso de Araujo Soares, Paulo R. Mariani, Jose Kalil-Filho, Roberto Edelman, Elazer R. Lemos, Pedro A. A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title | A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title_full | A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title_fullStr | A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title_full_unstemmed | A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title_short | A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions |
| title_sort | novel algorithm to quantify coronary remodeling using inferred normal dimensions |
| url | http://hdl.handle.net/1721.1/102791 https://orcid.org/0000-0002-7832-7156 |
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