Your browser doesn't support javascript.
loading
A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance.
Cannon, Piper C; Ferguson, James M; Pitt, E Bryn; Shrand, Jason A; Setia, Shaan A; Nimmagadda, Naren; Barth, Eric J; Kavoussi, Nicholas L; Galloway, Robert L; Herrell, S Duke; Webster, Robert J.
Afiliación
  • Cannon PC; Vanderbilt University Nashville TN 37235 USA.
  • Ferguson JM; Vanderbilt University Nashville TN 37235 USA.
  • Pitt EB; Vanderbilt University Nashville TN 37235 USA.
  • Shrand JA; Vanderbilt University Nashville TN 37235 USA.
  • Setia SA; Vanderbilt University Medical Center Nashville TN 37232 USA.
  • Nimmagadda N; Vanderbilt University Medical Center Nashville TN 37232 USA.
  • Barth EJ; The Johns Hopkins University School of Medicine Baltimore MD 21287 USA.
  • Kavoussi NL; Vanderbilt University Nashville TN 37235 USA.
  • Galloway RL; Vanderbilt University Medical Center Nashville TN 37232 USA.
  • Herrell SD; Vanderbilt University Nashville TN 37235 USA.
  • Webster RJ; Vanderbilt University Medical Center Nashville TN 37232 USA.
IEEE Open J Eng Med Biol ; 5: 133-139, 2024.
Article en En | MEDLINE | ID: mdl-38487093
ABSTRACT
Goal We present a new framework for in vivo image guidance evaluation and provide a case study on robotic partial nephrectomy.

Methods:

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.

Results:

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.

Conclusions:

The bystander protocol is a safe, effective method for testing in-development image guidance systems in human subjects.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: IEEE Open J Eng Med Biol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: IEEE Open J Eng Med Biol Año: 2024 Tipo del documento: Article