Predicting lymph node XXXX in @entity957 : use of a morphological scoring system.

@entity1 @entity135 @entity5 @entity957 @entity3
BACKGROUND: Predicting which @entity1 will develop nodal metastasis from @entity957 ( @entity957 ) remains difficult. This study evaluates a recently described histological risk model validated for mucosal @entity135 ( @entity135 ) when applied to cutaneous @entity5 . In this model, morphologic variables including worst pattern of invasion, lymphocytic host response and perineural invasion were shown to predict disease recurrence, loco regional recurrence and overall survival in mucosal @entity135 . METHODS: @entity1 with @entity957 and known metastatic spread were identified from the author's database over a 5-year period between July 2007 and July 2012. Histology specimens from the original primary @entity5 were separately analysed by 2 histopathologists. Scores were compared against T-Stage matched control specimens without metastatic spread. RESULTS: 27 @entity1 with metastatic @entity957 were identified. Scores for worst pattern of invasion (WPOI) were significantly higher in individuals with lymph node @entity3 (p=0.02). CONCLUSIONS: Adverse pattern of invasion, defined as presence of small @entity5 islands or @entity5 satellites may be an independent risk factor for developing nodal @entity3 in @entity957 . These @entity5 are difficult to investigate histopathologically as it is difficult to be confident the correct primary is chosen for study.
