<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-29T04:09:59Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/23517" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/23517</identifier><datestamp>2024-11-29T06:46:10Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16967</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-23517" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/23517">
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                  <mods:namePart>Torrent-Colomer, Anna</mods:namePart>
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                  <mods:namePart>Amengual, Joana</mods:namePart>
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                  <mods:namePart>Sampol, Catalina</mods:namePart>
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                  <mods:namePart>Ruiz, Mario</mods:namePart>
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                  <mods:namePart>Rioja, Jorge</mods:namePart>
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                  <mods:namePart>Matheu, Gabriel</mods:namePart>
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                  <mods:namePart>Roca, Pilar</mods:namePart>
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                  <mods:namePart>Córdoba, Octavi</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-10-04T13:57:54Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2022-02</mods:dateIssued>
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               <mods:identifier type="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.</mods:identifier>
               <mods:identifier type="other">https://hdl.handle.net/20.500.13003/19814</mods:identifier>
               <mods:identifier type="uri">https://hdl.handle.net/20.500.12105/23517</mods:identifier>
               <mods:identifier type="pubmedID">35205676</mods:identifier>
               <mods:identifier type="doi">10.3390/cancers14040929</mods:identifier>
               <mods:identifier type="e-issn">2072-6694</mods:identifier>
               <mods:identifier type="journal">Cancers</mods:identifier>
               <mods:identifier type="scopus">2-s2.0-85124343463</mods:identifier>
               <mods:identifier type="wos">763114200001</mods:identifier>
               <mods:identifier type="pui">L2015634057</mods:identifier>
               <mods: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.</mods:abstract>
               <mods:language>
                  <mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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               <mods:subject>
                  <mods:topic>Endometrial cancer</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Sentinel lymph node</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Learning curve</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Indocyanine green</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Radiotracer</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Lymphatic mapping</mods:topic>
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               <mods:titleInfo>
                  <mods:title>Sentinel Lymph Node Biopsy in Endometrial Cancer: Dual Injection, Dual Tracer-A Multidisciplinary Exhaustive Approach to Nodal Staging</mods:title>
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               <mods:genre>research article</mods:genre>
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