Accurate prognosis in patients with lung cancer is important for clinical decision making and treatment selection. The TNM staging system is currently the main method for establishing prognosis. Using this system, pat...Accurate prognosis in patients with lung cancer is important for clinical decision making and treatment selection. The TNM staging system is currently the main method for establishing prognosis. Using this system, patients are grouped into one of four stages based on primary tumor extent, nodal disease, and distant metastases. However, each stage represents a range of disease extent and may not on its own be the best reflection of individual patient prognosis. 18F-fluorodeoxyglucose_positron emission tomography （18F-FDG-PET） can be used to evaluate the metabolic tumor burden affecting the whole body with measures such as metabolic rumor volume （MTV） and total lesion glycolysis （TLG）. MTV and TLG have been shown to be significant prognostic factors in patients with lung cancer, independent of TNM stage. These metabolic tumor burden measures have the potential to make lung cancer staging and prognostication more accurate and quantitative, with the goal of optimizing treatment choices and outcome predictions.展开更多
BACKGROUND： No staging systems of hepatocellular carcinoma（HCC） are tailored for assessing recurrence risk. We sought to establish a recurrence risk scoring system to predict recurrence of HCC patients receiving su...BACKGROUND： No staging systems of hepatocellular carcinoma（HCC） are tailored for assessing recurrence risk. We sought to establish a recurrence risk scoring system to predict recurrence of HCC patients receiving surgical curative treatment（liver resection or transplantation）.METHODS： We retrospectively studied 286 HCC patients with preserved liver function receiving liver resection（n=184） or transplantation（n=102）. Independent risk factors were identified to construct the recurrence risk scoring model. The recurrence free survival and discriminatory ability of the model were analyzed. RESULTS： Total tumor volume, HBs Ag status, plasma fibrinogen level were included as independent prognostic factors for recurrence-free survival and used for constructing a 3-factor recurrence risk scoring model. The scoring model was as follows： 0.758×HBs Ag status（negative： 0; positive： 1）＋0.387×plasma fibrinogen level（≤3.24 g/L： 0; 〉3.24 g/L： 1）＋0.633×total tumor volume（≤107.5 cm3： 0; 〉107.5 cm3： 1）. The cutoff value was set to 1.02, and we defined the patients with the score ≤1.02 as a low risk group and those with the score 〉1.02 as a high risk group. The 3-year recurrence-free survival rate was significantly higher in the low risk group compared with that in the high risk group（67.9% vs 41.3%, P〈0.001）. In the subgroup analysis, liver transplantation patients had a better3-year recurrence-free survival rate than the liver resection patients in the low risk group（80.0% vs 64.0%, P〈0.01）. Additionally for patients underwent liver transplantation, we compared the recurrence risk model with the Milan criteria in the prediction of recurrence, and the 3-year recurrence survival rates were similar（80.0% vs 79.3%, P=0.906）.CONCLUSION： Our recurrence risk scoring model is effective in categorizing recurrence risks and in predicting recurrencefree survival of HCC before potential surgical curative treatment.展开更多
文摘Accurate prognosis in patients with lung cancer is important for clinical decision making and treatment selection. The TNM staging system is currently the main method for establishing prognosis. Using this system, patients are grouped into one of four stages based on primary tumor extent, nodal disease, and distant metastases. However, each stage represents a range of disease extent and may not on its own be the best reflection of individual patient prognosis. 18F-fluorodeoxyglucose_positron emission tomography （18F-FDG-PET） can be used to evaluate the metabolic tumor burden affecting the whole body with measures such as metabolic rumor volume （MTV） and total lesion glycolysis （TLG）. MTV and TLG have been shown to be significant prognostic factors in patients with lung cancer, independent of TNM stage. These metabolic tumor burden measures have the potential to make lung cancer staging and prognostication more accurate and quantitative, with the goal of optimizing treatment choices and outcome predictions.
基金supported by grants from the Guang dong Natural Science Foundation(S2013010016023)National Natural Science Foundation of China(81572368)+2 种基金Science and Technology Planning Project of Guangdong Province,China(2014A020212084)the Fundamental Research Funds for the Central Universities(12ykpy47 and 12ykpy43)National 12th Five-Year Science and Technology Plan Major Projects of China(2012ZX10002017-005)
文摘BACKGROUND： No staging systems of hepatocellular carcinoma（HCC） are tailored for assessing recurrence risk. We sought to establish a recurrence risk scoring system to predict recurrence of HCC patients receiving surgical curative treatment（liver resection or transplantation）.METHODS： We retrospectively studied 286 HCC patients with preserved liver function receiving liver resection（n=184） or transplantation（n=102）. Independent risk factors were identified to construct the recurrence risk scoring model. The recurrence free survival and discriminatory ability of the model were analyzed. RESULTS： Total tumor volume, HBs Ag status, plasma fibrinogen level were included as independent prognostic factors for recurrence-free survival and used for constructing a 3-factor recurrence risk scoring model. The scoring model was as follows： 0.758×HBs Ag status（negative： 0; positive： 1）＋0.387×plasma fibrinogen level（≤3.24 g/L： 0; 〉3.24 g/L： 1）＋0.633×total tumor volume（≤107.5 cm3： 0; 〉107.5 cm3： 1）. The cutoff value was set to 1.02, and we defined the patients with the score ≤1.02 as a low risk group and those with the score 〉1.02 as a high risk group. The 3-year recurrence-free survival rate was significantly higher in the low risk group compared with that in the high risk group（67.9% vs 41.3%, P〈0.001）. In the subgroup analysis, liver transplantation patients had a better3-year recurrence-free survival rate than the liver resection patients in the low risk group（80.0% vs 64.0%, P〈0.01）. Additionally for patients underwent liver transplantation, we compared the recurrence risk model with the Milan criteria in the prediction of recurrence, and the 3-year recurrence survival rates were similar（80.0% vs 79.3%, P=0.906）.CONCLUSION： Our recurrence risk scoring model is effective in categorizing recurrence risks and in predicting recurrencefree survival of HCC before potential surgical curative treatment.
