2018
DOI: 10.1016/j.ejca.2017.12.002
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The sentinel lymph node spread determines quantitatively melanoma seeding to non-sentinel lymph nodes and survival

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Cited by 13 publications
(6 citation statements)
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“…There is evidence that risk stratification for adjuvant treatments can be done based on ulceration and nodal tumor burden in patients with a positive sentinel node, regardless of CLND. 3436 This reinforces the importance of SNB and an adequate identification of high-risk patients.…”
Section: Discussionsupporting
confidence: 61%
“…There is evidence that risk stratification for adjuvant treatments can be done based on ulceration and nodal tumor burden in patients with a positive sentinel node, regardless of CLND. 3436 This reinforces the importance of SNB and an adequate identification of high-risk patients.…”
Section: Discussionsupporting
confidence: 61%
“…Therefore, we argue to not routinely perform CLND in case of a positive SN. Others share this opinion and have suggested other alternatives such as routinely harvesting 4e5 nodes during a SLNB [24] or using a prognostic model that incorporates the disseminated cancer cell density in the SN [25].…”
Section: Discussionmentioning
confidence: 99%
“…However, less extensive and more precise techniques are needed. We recently showed that the quantitative analysis of DCCs from disaggregated LN enables an accurate evaluation of the metastatic spread . While this approach allows analysis of the entire LN and not only selected sections, the time‐consuming screening step of millions of lymph node cells remains a limitation.…”
Section: Introductionmentioning
confidence: 99%
“…We recently showed that the quantitative analysis of DCCs from disaggregated LN enables an accurate evaluation of the metastatic spread. 2,10,11 While this approach allows analysis of the entire LN and not only selected sections, the time-consuming screening step of millions of lymph node cells remains a limitation. Automation, especially in combination with better DCC enrichment strategies, would strongly enhance applicability in diagnostic workflows.…”
Section: Introductionmentioning
confidence: 99%