A computational program for automated surgical planning of fenestrated endovascular repair
An Abdominal Aortic Aneurysm (AAA) is a dilation of the aorta at the level of the abdomen. To reduce the risk of rupture, an endograft is often implanted inside the aneurysm to decrease pressure on the aneurysm sac. To maintain blood flow to major abdominal vessels, a fenestrated endograft can be us...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2024
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| Online Access: | https://hdl.handle.net/1721.1/154103 |
| _version_ | 1824458057069887488 |
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| author | Dillon, Tom M. Liang, Patric Schermerhorn, Marc L. Roche, Ellen T. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Dillon, Tom M. Liang, Patric Schermerhorn, Marc L. Roche, Ellen T. |
| author_sort | Dillon, Tom M. |
| collection | MIT |
| description | An Abdominal Aortic Aneurysm (AAA) is a dilation of the aorta at the level of the abdomen. To reduce the risk of rupture, an endograft is often implanted inside the aneurysm to decrease pressure on the aneurysm sac. To maintain blood flow to major abdominal vessels, a fenestrated endograft can be used, whereby physicians modify commercial endografts by creating fenestrations based on preoperative computed tomography imaging. The manual process of aligning patient-specific visceral anatomy onto endografts can be tedious and subject to human error. Here we developed a computational program, ‘FenFit’, for automated fitting of fenestrations onto commercially available endografts. A pilot clinical study was conducted to evaluate the efficiency of FenFit compared to physician manual planning, showing FenFit can reduce planning time by 62-fold on average. Our program has potential to improve clinical outcomes by providing a user interface that is expeditious and far less susceptible to human error. |
| first_indexed | 2024-09-23T11:09:31Z |
| format | Article |
| id | mit-1721.1/154103 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:19:50Z |
| publishDate | 2024 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1541032024-12-21T05:47:06Z A computational program for automated surgical planning of fenestrated endovascular repair Dillon, Tom M. Liang, Patric Schermerhorn, Marc L. Roche, Ellen T. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Institute for Medical Engineering & Science An Abdominal Aortic Aneurysm (AAA) is a dilation of the aorta at the level of the abdomen. To reduce the risk of rupture, an endograft is often implanted inside the aneurysm to decrease pressure on the aneurysm sac. To maintain blood flow to major abdominal vessels, a fenestrated endograft can be used, whereby physicians modify commercial endografts by creating fenestrations based on preoperative computed tomography imaging. The manual process of aligning patient-specific visceral anatomy onto endografts can be tedious and subject to human error. Here we developed a computational program, ‘FenFit’, for automated fitting of fenestrations onto commercially available endografts. A pilot clinical study was conducted to evaluate the efficiency of FenFit compared to physician manual planning, showing FenFit can reduce planning time by 62-fold on average. Our program has potential to improve clinical outcomes by providing a user interface that is expeditious and far less susceptible to human error. 2024-04-09T20:37:57Z 2024-04-09T20:37:57Z 2023-06-13 2024-04-09T20:27:51Z Article http://purl.org/eprint/type/JournalArticle 2731-3395 https://hdl.handle.net/1721.1/154103 Dillon, T.M., Liang, P., Schermerhorn, M.L. et al. A computational program for automated surgical planning of fenestrated endovascular repair. Commun Eng 2, 37 (2023). en 10.1038/s44172-023-00083-2 Communications Engineering Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Springer Science and Business Media LLC |
| spellingShingle | Dillon, Tom M. Liang, Patric Schermerhorn, Marc L. Roche, Ellen T. A computational program for automated surgical planning of fenestrated endovascular repair |
| title | A computational program for automated surgical planning of fenestrated endovascular repair |
| title_full | A computational program for automated surgical planning of fenestrated endovascular repair |
| title_fullStr | A computational program for automated surgical planning of fenestrated endovascular repair |
| title_full_unstemmed | A computational program for automated surgical planning of fenestrated endovascular repair |
| title_short | A computational program for automated surgical planning of fenestrated endovascular repair |
| title_sort | computational program for automated surgical planning of fenestrated endovascular repair |
| url | https://hdl.handle.net/1721.1/154103 |
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