Potential of CT-scan based @entity5 volume as a response indicator in chemotherapy of XXXX .

@entity1 @entity74 @entity43 @entity5
BACKGROUND: Response prediction in @entity1 undergoing chemotherapy for @entity43 is an important issue, since the cure rate is only about 15-20%. We attempted to develop a semi-empirical model to predict response in individual cases after the first cycle of chemotherapy. MATERIAL/METHODS: This prospective study included 51 cases of advanced @entity43 . A method was standardized to estimate @entity43 volume accurately from CT scan films. This permits the inclusion of @entity1 who have undergone CT scan elsewhere. @entity1 underwent 4-6 cycles of chemotherapy and @entity5 volume was estimated after each cycle. This yielded a @entity5 regression curve for each @entity1 . RESULTS: Percent reduction in @entity5 volume after the first chemo-cycle was a significant prognostic factor in multivariate analysis. Depending upon the rate of regression @entity1 could be classified into Fast Regressing FR (n=29) and Moderately Regressing MR (n=16), whereas 6 @entity1 showed @entity74 ( @entity74 ) despite ongoing chemotherapy. The median survivals for the FR, MR and @entity74 groups were 29.3, 18.9 and 8.5 months respectively. We found that 'percent reduction in volume after first chemo-cycle' could categorize a @entity1 as FR/MR/ @entity74 correctly in 94.1% of cases. This parameter could also detect 5 out of 6 inherently resistant @entity74 cases, who would otherwise undergo further chemotherapy, since early detection of resistance by clinical monitoring is quite difficult. CONCLUSIONS: An individual @entity1 at risk for shorter survival and with inherent drug resistance can be identified after the first cycle of chemotherapy.
