Bollino, M.; Geppert, B.; Reynisson, P.; Lönnerfors, C.; Persson, J.
Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions. Cancers 2024, 16, 3242.
https://doi.org/10.3390/cancers16183242
AMA Style
Bollino M, Geppert B, Reynisson P, Lönnerfors C, Persson J.
Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions. Cancers. 2024; 16(18):3242.
https://doi.org/10.3390/cancers16183242
Chicago/Turabian Style
Bollino, Michele, Barbara Geppert, Petur Reynisson, Celine Lönnerfors, and Jan Persson.
2024. "Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions" Cancers 16, no. 18: 3242.
https://doi.org/10.3390/cancers16183242
APA Style
Bollino, M., Geppert, B., Reynisson, P., Lönnerfors, C., & Persson, J.
(2024). Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions. Cancers, 16(18), 3242.
https://doi.org/10.3390/cancers16183242