scholarly journals Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

2021 ◽  
Vol 154 ◽  
pp. 227-234
Author(s):  
Titus J. Brinker ◽  
Lennard Kiehl ◽  
Max Schmitt ◽  
Tanja B. Jutzi ◽  
Eva I. Krieghoff-Henning ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Primary Melanoma ◽  
Lymph Node Status ◽  
Learning Approach ◽  
Node Status ◽  
Sentinel Lymph Node Status

scholarly journals Association of Histologic Regression in Primary Melanoma With Sentinel Lymph Node Status

2015 ◽  
Vol 151 (12) ◽  
pp. 1301 ◽  
Author(s):  
Simone Ribero ◽  
Maria Rosaria Gualano ◽  
Simona Osella-Abate ◽  
Giacomo Scaioli ◽  
Fabrizio Bert ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Primary Melanoma ◽  
Lymph Node Status ◽  
Node Status ◽  
Sentinel Lymph Node Status

The correlation of regression in primary melanoma with sentinel lymph node status

2007 ◽  
Vol 61 (3) ◽  
pp. 297-300 ◽  
Author(s):  
C Kaur ◽  
R J Thomas ◽  
N Desai ◽  
M A Green ◽  
D Lovell ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Primary Melanoma ◽  
Lymph Node Status ◽  
Node Status ◽  
Sentinel Lymph Node Status

scholarly journals P234 The role of pre-operative CT staging in predicting the sentinel lymph node status

The Breast ◽  
2011 ◽  
Vol 20 ◽  
pp. S55
Author(s):  
S. Khawaja ◽  
A. Huws ◽  
R. Kannan ◽  
H. Sumrien ◽  
Y. Sharaiha ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Node Status ◽  
Node Status ◽  
Sentinel Lymph Node Status

scholarly journals Regression and Sentinel Lymph Node Status in Melanoma Progression

2018 ◽  
Vol 24 ◽  
pp. 1359-1365 ◽  
Author(s):  
Alina Florentina Letca ◽  
Loredana Ungureanu ◽  
Simona Corina Şenilă ◽  
Lavinia Elena Grigore ◽  
Ştefan Pop ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Node Status ◽  
Melanoma Progression ◽  
Node Status ◽  
Sentinel Lymph Node Status

scholarly journals Dermoscopic Features as Predictors of BRAF Mutational Status and Sentinel Lymph Node Positivity in Primary Cutaneous Melanoma

2021 ◽  
pp. e2021040
Author(s):  
Nika Filipović ◽  
Mirna Šitum ◽  
Marija Buljan
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Kinase Inhibitors ◽  
Lymph Node Status ◽  
Short Article ◽  
Primary Cutaneous Melanoma ◽  
Mutation Status ◽  
Node Status ◽  
Mutational Status ◽  
Sentinel Lymph Node Status

Dermoscopy is a diagnostic tool widely used in clinical practice for the detection of skin tumors, especially early stages of melanoma. Recent studies have shown that different dermoscopic features are associated with important prognostic parameters of melanoma, such as BRAF mutational status and sentinel lymph node status. More than half of all melanomas harbor a mutation in the BRAF oncogene. The current management of advanced-stage melanomas is greatly determined by the presence or absence of a mutation in this gene, as targeted therapy with BRAF kinase inhibitors is one of the first therapeutic choices for these patients. Sentinel lymph node status is one of the most significant predictors of a melanoma patient’s survival. Recent studies have shown that different dermoscopic patterns are also associated with sentinel lymph node status. This short article reviews studies that investigated correlations between dermoscopic features, BRAF mutation status and sentinel lymph node status.

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