Patient-specific, touch-based registration during robotic, image-guided partial nephrectomy
| Autor: | Naren Nimmagadda, Josephine Granna, S. Duke Herrell, Nicholas Kavoussi, Eric J. Barth, Bryn Pitt, James M. Ferguson, Robert J. Webster |
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| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Standard of care Standardization Urology medicine.medical_treatment ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 030232 urology & nephrology Kidney Nephrectomy Da Vinci Surgical System Task (project management) 03 medical and health sciences 0302 clinical medicine Robotic Surgical Procedures medicine Humans Segmentation Medical physics business.industry Robotics Patient specific Renal anatomy Kidney Neoplasms Touch 030220 oncology & carcinogenesis business |
| Zdroj: | World journal of urology. 40(3) |
| ISSN: | 1433-8726 |
| Popis: | Image-guidance during partial nephrectomy enables navigation within the operative field alongside a 3-dimensional roadmap of renal anatomy generated from patient-specific imaging. Once a process is performed by the human mind, the technology will allow standardization of the task for the benefit of all patients undergoing robot-assisted partial nephrectomy. Any surgeon will be able to visualize the kidney and key subsurface landmarks in real-time within a 3-dimensional simulation, with the goals of improving operative efficiency, decreasing surgical complications, and improving oncologic outcomes. For similar purposes, image-guidance has already been adopted as a standard of care in other surgical fields; we are now at the brink of this in urology. This review summarizes touch-based approaches to image-guidance during partial nephrectomy, as the technology begins to enter in vivo human evaluation. The processes of segmentation, localization, registration, and re-registration are all described with seamless integration into the da Vinci surgical system; this will facilitate clinical adoption sooner. |
| Databáze: | OpenAIRE |
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