A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance
<italic>Goal:</italic> We present a new framework for in vivo image guidance evaluation and provide a case study on robotic partial nephrectomy. <italic>Methods:</italic> This framework (called the “bystander protocol”) involves two surgeons, one who sol...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10113149/ |
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| author | Piper C. Cannon James M. Ferguson E. Bryn Pitt Jason A. Shrand Shaan A. Setia Naren Nimmagadda Eric J. Barth Nicholas L. Kavoussi Robert L. Galloway S. Duke Herrell Robert J. Webster |
| author_facet | Piper C. Cannon James M. Ferguson E. Bryn Pitt Jason A. Shrand Shaan A. Setia Naren Nimmagadda Eric J. Barth Nicholas L. Kavoussi Robert L. Galloway S. Duke Herrell Robert J. Webster |
| author_sort | Piper C. Cannon |
| collection | DOAJ |
| description | <italic>Goal:</italic> We present a new framework for in vivo image guidance evaluation and provide a case study on robotic partial nephrectomy. <italic>Methods:</italic> This framework (called the “bystander protocol”) involves two surgeons, one who solely performs the therapeutic process without image guidance, and another who solely periodically collects data to evaluate image guidance. This isolates the evaluation from the therapy, so that in-development image guidance systems can be tested without risk of negatively impacting the standard of care. We provide a case study applying this protocol in clinical cases during robotic partial nephrectomy surgery. <italic>Results:</italic> The bystander protocol was performed successfully in 6 patient cases. We find average lesion centroid localization error with our IGS system to be 6.5 mm in vivo compared to our prior result of 3.0 mm in phantoms. <italic>Conclusions:</italic> The bystander protocol is a safe, effective method for testing in-development image guidance systems in human subjects. |
| format | Article |
| id | doaj-art-ddd6a104fa14487cabc3a3951e4bc07b |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-ddd6a104fa14487cabc3a3951e4bc07b2025-01-30T00:03:37ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01513313910.1109/OJEMB.2023.327185310113149A Safe Framework for Quantitative In Vivo Human Evaluation of Image GuidancePiper C. Cannon0https://orcid.org/0000-0001-8499-9904James M. Ferguson1https://orcid.org/0000-0002-8436-2804E. Bryn Pitt2https://orcid.org/0000-0003-1839-6616Jason A. Shrand3Shaan A. Setia4Naren Nimmagadda5https://orcid.org/0000-0003-1845-9891Eric J. Barth6https://orcid.org/0000-0002-7462-3417Nicholas L. Kavoussi7Robert L. Galloway8S. Duke Herrell9Robert J. Webster10https://orcid.org/0000-0003-1389-224XVanderbilt University, Nashville, TN, USAVanderbilt University, Nashville, TN, USAVanderbilt University, Nashville, TN, USAVanderbilt University, Nashville, TN, USAVanderbilt University Medical Center, Nashville, TN, USAVanderbilt University Medical Center, Nashville, TN, USAVanderbilt University, Nashville, TN, USAVanderbilt University Medical Center, Nashville, TN, USAVanderbilt University, Nashville, TN, USAVanderbilt University Medical Center, Nashville, TN, USAVanderbilt University, Nashville, TN, USA<italic>Goal:</italic> We present a new framework for in vivo image guidance evaluation and provide a case study on robotic partial nephrectomy. <italic>Methods:</italic> This framework (called the “bystander protocol”) involves two surgeons, one who solely performs the therapeutic process without image guidance, and another who solely periodically collects data to evaluate image guidance. This isolates the evaluation from the therapy, so that in-development image guidance systems can be tested without risk of negatively impacting the standard of care. We provide a case study applying this protocol in clinical cases during robotic partial nephrectomy surgery. <italic>Results:</italic> The bystander protocol was performed successfully in 6 patient cases. We find average lesion centroid localization error with our IGS system to be 6.5 mm in vivo compared to our prior result of 3.0 mm in phantoms. <italic>Conclusions:</italic> The bystander protocol is a safe, effective method for testing in-development image guidance systems in human subjects.https://ieeexplore.ieee.org/document/10113149/Image-guided surgerypartial nephrectomyrobotic surgery |
| spellingShingle | Piper C. Cannon James M. Ferguson E. Bryn Pitt Jason A. Shrand Shaan A. Setia Naren Nimmagadda Eric J. Barth Nicholas L. Kavoussi Robert L. Galloway S. Duke Herrell Robert J. Webster A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance IEEE Open Journal of Engineering in Medicine and Biology Image-guided surgery partial nephrectomy robotic surgery |
| title | A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance |
| title_full | A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance |
| title_fullStr | A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance |
| title_full_unstemmed | A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance |
| title_short | A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance |
| title_sort | safe framework for quantitative in vivo human evaluation of image guidance |
| topic | Image-guided surgery partial nephrectomy robotic surgery |
| url | https://ieeexplore.ieee.org/document/10113149/ |
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