Sentence examples for multivariate analysis tumour from inspiring English sources

In the multivariate analysis, tumour volume and stromal invasion depth maintained their significance as indicators of an adverse prognosis regarding the disease-free survival interval, as did the stromal invasion depth in the case of survival.

In multivariate analysis, tumour stage (P < 0.001) and weight loss (P = 0.003) significantly influenced survival.

In the multivariate analysis, tumour thickness was the only significant independent prognostic factor for subclinical nodal metastasis (p = 0.031).

At a multivariate analysis, tumour size, number of nodules, and Child Pugh classification had a significant effect on survival 63.

In Cox's multivariate analysis, tumour thickness (P = 0.0021), bleeding (P = 0.0106) and M/V index (P = 0.0058) predicted poor RFS in the 259 patients available for the analysis.

On univariate and multivariate analysis tumour differentiation correlated with TM expression, with increasing expression seen in well-differentiated tumours compared with moderate and poorly differentiated (P<0.001).

At present these decisions are largely based on known pathological prognostic factors that retain independent significance on multivariate analysis including tumour size, tumour grade and lymph node status in addition to the efficacy of any adjuvant therapy.

In multivariate analysis IMD, tumour microvessel count (P<0.00001), tumour size and regional lymph node status retained independent prognostic value with respect to overall survival.

In multivariate analysis, only tumour size (P=0.002), distant metastasis (P<0.001) and tumour recurrence (P=0.040) remained significant.

H : I and MGI was shown to outperform tumour grade and PR status in a multivariate analysis, with tumour size still contributing significant prognostic value only in the untreated patient population.

Tumour marker AFP had a much lower weight in the multivariate analysis than tumour markers HCG and LDH.