Publication: Sentinel Lymph Node Biopsy in Endometrial Cancer: Dual Injection, Dual Tracer-A Multidisciplinary Exhaustive Approach to Nodal Staging
| dc.contributor.author | Torrent-Colomer, Anna | |
| dc.contributor.author | Amengual, Joana | |
| dc.contributor.author | Sampol, Catalina | |
| dc.contributor.author | Ruiz, Mario | |
| dc.contributor.author | Rioja, Jorge | |
| dc.contributor.author | Matheu, Gabriel | |
| dc.contributor.author | Roca, Pilar | |
| dc.contributor.author | Córdoba, Octavi | |
| dc.date.accessioned | 2024-10-04T13:57:54Z | |
| dc.date.available | 2024-10-04T13:57:54Z | |
| dc.date.issued | 2022-02 | |
| dc.description.abstract | Introduction: Sentinel lymph node (SLN) has recently been introduced as a standard staging technique in endometrial cancer (EC). There are some issues regarding team experience and para-aortic detection. Objective: to report the accuracy of SLN detection in EC with a dual tracer (ICG and Tc99) and dual injection site (cervix and fundus) during the learning curve. Methods: A prospective, observational single-center trial including 48 patients diagnosed with early-stage EC. Dual intracervical tracer (Tc99 and ICG) was injected at different times. High-risk patients had a second fundus injection with both tracers. Results: the detection rates were as follows: 100% (48/48) overall for SLNs; 98% (47/48) overall for pelvic SLNs; 89.5% (43/48) for bilateral SLNs; and 2% (1/48) for isolated para-aortic SLNs. In high-risk patients, the para-aortic overall DR was 66.7% (22/33); 60.7% (17/28) with ICG and 51.5% (17/33) with Tc99 (p = 0.048)). Overall rate of lymph node involvement was 14.6% (7/48). Macroscopic pelvic metastasis was found in four patients (8.3%) and microscopic in one case (2%). No metastasis was found in any para-aortic SLNs. Half of the patients with positive pelvic SLNs had positive para-aortic nodes. In high-risk patients, when para-aortic SLNs mapped failed, 36.4% (4/11) had positive nodes in para-aortic lymphadenectomy. The sensitivity and negative predictive value (NPV) of SLN pelvic detection was 100%. Conclusions: Multidisciplinary exhaustive approach gives a suitable accuracy of SLN during learning curve. Dual injection (cervical and fundal) with dual tracer (ICG and Tc99) offers good overall detection rates and increases para-aortic SLN detection. | en |
| dc.description.sponsorship | This work was supported by Son Espases University Hospital funded by the Balearic Islands Government. | es_ES |
| dc.format.number | 4 | es_ES |
| dc.format.page | 929 | es_ES |
| dc.format.volume | 14 | es_ES |
| dc.identifier.citation | Torrent A, Amengual J, Sampol CM, Ruiz M, Rioja J, Matheu G, et al. Sentinel Lymph Node Biopsy in Endometrial Cancer: Dual Injection, Dual Tracer-A Multidisciplinary Exhaustive Approach to Nodal Staging. Cancers. 2022 Feb;14(4):929. | en |
| dc.identifier.doi | 10.3390/cancers14040929 | |
| dc.identifier.e-issn | 2072-6694 | es_ES |
| dc.identifier.journal | Cancers | es_ES |
| dc.identifier.other | https://hdl.handle.net/20.500.13003/19814 | |
| dc.identifier.pubmedID | 35205676 | es_ES |
| dc.identifier.pui | L2015634057 | |
| dc.identifier.scopus | 2-s2.0-85124343463 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12105/23517 | |
| dc.identifier.wos | 763114200001 | |
| dc.language.iso | eng | en |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.publisherversion | https://doi.org/10.3390/cancers14040929 | en |
| dc.rights.accessRights | open access | en |
| dc.rights.license | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Endometrial cancer | |
| dc.subject | Sentinel lymph node | |
| dc.subject | Learning curve | |
| dc.subject | Indocyanine green | |
| dc.subject | Radiotracer | |
| dc.subject | Lymphatic mapping | |
| dc.title | Sentinel Lymph Node Biopsy in Endometrial Cancer: Dual Injection, Dual Tracer-A Multidisciplinary Exhaustive Approach to Nodal Staging | en |
| dc.type | research article | en |
| dspace.entity.type | Publication | |
| relation.isPublisherOfPublication | 30293a55-0e53-431f-ae8c-14ab01127be9 | |
| relation.isPublisherOfPublication.latestForDiscovery | 30293a55-0e53-431f-ae8c-14ab01127be9 |


