BACKGROUND: Liver resection is an effective treatment in select @entity1 with huge @entity157 ( @entity157 , diameter >= 10 cm). This study aimed to develop nomograms for pre- and postoperative predictions of @entity1349 ( @entity1349 ) for these @entity1 . STUDY DESIGN: There were 464 consecutive @entity1 who underwent liver resection for huge @entity157 at the Eastern Hepatobiliary Surgery Hospital (EHBH) between January 2008 and December 2009. They were collected and divided into a training cohort (n  = 310) and an internal validation cohort (n  = 154). Another 90 @entity1 who were operated on at the Fujian Medical University (FMU) between January 2008 and April 2010 served as an external validation cohort. The surgical morbidity, mortality, time to recurrence, and @entity1349 were observed. Two prognostic nomograms were developed based separately on the data obtained before and after surgery. Discrimination and predictive accuracy of the models were measured using concordance index (C-index), calibration curves, and validation study. RESULTS: The postoperative 4-year @entity5 recurrence and @entity1349 rates were, respectively, 79.0% and 41.2% in the @entity1 from the EHBH and 78.8% and 37.6% in those from the FMU. Independent predictors of @entity1349 on multivariable analysis using pre- and postoperative data were respectively incorporated into the 2 nomograms. In the training cohort, calibration curves for the probability of 4-year postoperative survival fitted well. The C-indexes of the pre- and postoperative nomograms in predicting @entity1349 were 0.75 (95% CI 0.72 to 0.78) and 0.78 (95% CI 0.75 to 0.81), respectively. The internal and external validation studies optimally supported these results. CONCLUSIONS: The 2 nomograms achieved accurate pre- or postoperative predictions of long-term survival for @entity1 with huge @entity157 after liver resection.

Prognostic Nomograms for Pre- and Postoperative Predictions of Long-Term Survival for XXXX Who Underwent Liver Resection for  Huge  @entity157 .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity157 :: ('MESH:D006528', 'Disease') :: ['HCC', 'hepatocellular carcinoma'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor'] @entity1349 :: ('MESH:D011475', 'Disease') :: ['OS', 'overall survival']
@entity1 :: (9606,Species) :: ['Patients']
