Objective To evaluate a score system(Association of Coloproctology of Great Britain and Ireland ACPGBI)in prediction of postoperative mortality from colorectal cancer patients in a Chinese hospital. Methods We analyzed retrospectively 904 patients with histologically confirmed colorectal cancer who had colorectal surgery from 1992 to 2005.There were 525 colonic cancer patients and 379 rectal cancer patients.We divided patients into several groups according to operative urgency(elective or emergency);surgeons(colorectal specialists or other surgeons);cancer location(colon or rectal).According to ACPGBI score we got the prediction.This prediction was compared with the actual mortality;Chi-square test,receiver operator characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test were used.Results Observed overall mortality within 30 days after surgery was 1.0%(9/904),and the predicted mortality was 8.3%(75/904).In all the subgroups the predicted momdity wag higher than observed mortality.We found that the actual mortality was higher in an individual subgroup in which the predicted mortality was higher. Conclusions For colorectal cancer patients undergoing a surgery the predicted mortality of ACPGBI score system was higher than the actual mortality in a Chinese hospital.

Objective To investigate the relationship between parotid image texture and acute radiation xerostomia (grade) during radiotherapy in patients with head and neck cancer.The mathematical model was established to predict the severity of radiation dry mouth in the early stage.Methods 23 patients with head and neck cancer treated with radiotherapy were observed.The degree of xerostomia was evaluated according to RTOG criteria.The weekly validated CT images of these patients during radiotherapy were collected and transmitted to the MIM system to outline the parotid gland,and an internal analysis program was developed in MATLAB (R2013a).The changes of texture features of weekly parotid CT images during radiotherapy were analyzed,including mean CT value (MCTN),standard deviation (STD),skewness,kurtosis,entropy and volume.The mathematical model was established,and the KNN method was used to optimize the model and predict the level of xerostomia.Results There was no significant correlation among the changes of MCTN,volume and the degree of xerostomia (P ＞ 0.05).However,according to the weekly changes of MCTN and volume,the model was established to predict the grade of xerostomia with an accuracy of 99％.Conclusions The changes of parotid gland MCTN and volume were significantly correlated with acute radiation xerostomia during radiotherapy for head and neck cancer,and the MCTN changes can be used to predict the severity of xerostomia in the early stage.