Jan Persson1, Barbara Geppert2, Céline Lönnerfors2, Michele Bollino2, Anna Måsbäck3. 1. Department of Obstetrics and Gynecology, Skane University Hospital, Lund University, Lund, Sweden. Electronic address: Jan.Persson@med.lu.se. 2. Department of Obstetrics and Gynecology, Skane University Hospital, Lund University, Lund, Sweden. 3. Department of Pathology, Skane University Hospital, Lund University, Lund, Sweden.
Abstract
OBJECTIVE: To describe and evaluate a reproducible, anatomically based surgical algorithm, including reinjection of tracer to enhance technical success rate, for detection of pelvic sentinel lymph nodes (SLNs) in endometrial cancer (EC). METHODS: A prospective study of 102 consecutive women with high risk EC scheduled for robotic surgery was conducted. Following cervical injection of a fluorescent dye, an algorithm for trans- and retroperitoneal identification of tracer display in the lower and upper paracervical pathways was strictly adhered to. To enhance the technical success rate, this included ipsilateral reinjection of tracer in case of non-display of any lymphatic pathway. The lymphatic pathways were kept intact by opening the avascular planes. To minimize disturbance from leaking dye, removal of SLNs was first performed along the lower paracervical (presacral) pathways followed by the more caudal upper paracervical pathways. In each pathway, the juxtauterine node with an afferent lymph vessel was defined as an SLN. After removal of SLNs, a complete pelvic and, unless contraindicated, infrarenal paraaortic lymph node dissection was performed. RESULTS: The bilateral detection rate including tracer reinjection was 96%. All 24 (23.5%) node positive patients had at least one metastatic SLN. Presacral lymph node metastases were discovered in 33.3% of the node positive patients. One patient (4.2%) had an isolated presacral lymph node metastasis. CONCLUSIONS: The described cranial-to-caudal anatomically based surgical SLN algorithm, including a presacral dissection and reinjection of tracer, results in a high SLN detection rate and identified all patients with lymph node metastases.
OBJECTIVE: To describe and evaluate a reproducible, anatomically based surgical algorithm, including reinjection of tracer to enhance technical success rate, for detection of pelvic sentinel lymph nodes (SLNs) in endometrial cancer (EC). METHODS: A prospective study of 102 consecutive women with high risk EC scheduled for robotic surgery was conducted. Following cervical injection of a fluorescent dye, an algorithm for trans- and retroperitoneal identification of tracer display in the lower and upper paracervical pathways was strictly adhered to. To enhance the technical success rate, this included ipsilateral reinjection of tracer in case of non-display of any lymphatic pathway. The lymphatic pathways were kept intact by opening the avascular planes. To minimize disturbance from leaking dye, removal of SLNs was first performed along the lower paracervical (presacral) pathways followed by the more caudal upper paracervical pathways. In each pathway, the juxtauterine node with an afferent lymph vessel was defined as an SLN. After removal of SLNs, a complete pelvic and, unless contraindicated, infrarenal paraaortic lymph node dissection was performed. RESULTS: The bilateral detection rate including tracer reinjection was 96%. All 24 (23.5%) node positive patients had at least one metastatic SLN. Presacral lymph node metastases were discovered in 33.3% of the node positive patients. One patient (4.2%) had an isolated presacral lymph node metastasis. CONCLUSIONS: The described cranial-to-caudal anatomically based surgical SLN algorithm, including a presacral dissection and reinjection of tracer, results in a high SLN detection rate and identified all patients with lymph node metastases.
Authors: Maria Luisa Gasparri; Donatella Caserta; Pierluigi Benedetti Panici; Andrea Papadia; Michael D Mueller Journal: J Cancer Res Clin Oncol Date: 2018-11-20 Impact factor: 4.553
Authors: Andrea Papadia; Alessandro Buda; Maria Luisa Gasparri; Giampaolo Di Martino; Beatrice Bussi; Debora Verri; Michael D Mueller Journal: J Cancer Res Clin Oncol Date: 2018-07-24 Impact factor: 4.553