Neuroendocrine tumors (NETs) can arise in various organs of the body and share many common pathologic features. Although there are various classification systems, World Health Organization (WHO) proposed classification of NETs based on differentiation and grading for prognostic and therapeutic implications. Ki-67 index and Mitotic index are the most important criteria for grading of NETs. Many studies have been done concerning prognostic role of Ki-67 index in NETs specific to organ systems, but fewer data are available about patients with NETs of heterogenous origin. The aim of our study was to evaluate the prognostic significance of Ki-67 index and mitotic index in NETs. A total of 50 patients undergoing multidisciplinary management were analyzed prospectively over a period of 4 years, from 2010 to 2014. Among various locations, NETs most commonly involved gastrointestinal tract. The study population was classified into three grades. Grade I (13 patients), Grade II (10 patients) and Grade III (27 patients). There was a significant association between tumor grading and metastasis where tumor grading served the most important predictor of outcome.

-In this paper, we apply the results on both the model AMSAA Crow projection model and Reliability growth potential effects of vasopressin to examine the relation between nocturnal vasopressin release and response to treatment with the vasopressin analogue 1-desamino-8-D-Arginine Vasopressin (DDAVP) in children with primary mono symptomatic nocturnal enuresis. In this application the ability to respond to DDAVP is related to endogenous AVP production and is influenced by neuronal patterning in early infancy. The result concludes that ACPM of MTBF projection is estimated of the system failure intensity.ρ GP is the growth potential of Mean time between failure of AVP release according to the result in the estimated growth potential failure intensity , the estimate of the system MTBF growth potential. Thus the ACPM Projection for the system failure intensity, based onβ , the corresponding MTBF Projection value is nearly equal to the Projected system failure intensity based onβ m , the corresponding MTBF Projection values.