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

In an optimized SLN algorithm for endometrial cancer, to avoid undetected nodal metastases in 4.3% of node-positive women, if mapping fails in either the proximal obturator or interiliac area, nodes should be removed from those defined anatomic positions, despite mapping at other positions.

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Publication Details

Journal
Cancers
Published
2024-09-23
DOI
https://doi.org/10.3390/cancers16183242
Citations
2
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
1.17
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article

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

Jan Persson, Michele Bollino, Céline Lönnerfors, Pétur Reynisson et al.
2 citations
Cancers
Endometrial and Cervical Cancer Treatments
1.17
article

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

Jan Persson, Michele Bollino, Céline Lönnerfors, Pétur Reynisson, Barbara Geppert
article en
2 citations

Abstract

In an optimized SLN algorithm for endometrial cancer, to avoid undetected nodal metastases in 4.3% of node-positive women, if mapping fails in either the proximal obturator or interiliac area, nodes should be removed from those defined anatomic positions, despite mapping at other positions.

CancersVol. 16(18)
Lund University (SE), Skåne University Hospital (SE)
Good health and well-being
Openalex Percentile: Top 20%
Endometrial and Cervical Cancer Treatments
1.17
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