Purpose To investigate the value of three-dimensional quantitative measurement of spiral CT in evaluating tumor size and preoperative T stage in stage I non-small cell lung cancer (NSCLC). Materials and Methods The complete data of 125 patients with stage I NSCLC confirmed surgically and pathologically were compared in terms of maximum tumor diameter and T stage analysis by means of three-dimensional quantitative CT measurement, two-dimensional measurement and general pathology measurement. Results The mean maximum tumor diameter of these 125 patients measured by quantitative three-dimensional CT measurement, two-dimensional measurement and general pathology measurement were (26.21±8.14) mm, (27.03±9.90) mm and (25.60±9.31) mm, respectively. The difference in mean maximum tumor diameter by two-dimensional measurement and three-dimensional quantitative measurement was significant, and remained so when two-dimensional measurement and pathology measurement was compared (t=2.377, P<0.05;t=2.961, P<0.01), but that between three-dimensional quantitative measurement and pathology measurement was not significant (t=1.281, P>0.05). Bland-Altman analysis showed that three-dimensional quantitative measurement had higher consistency than two-dimensional measurement when compared with the gold standard pathology measurement. When three-dimensional quantitative measurement was taken to be the staging criterion, 20% results (25 cases) obtained by two-dimensional measurement proved to be inconsistent. Conclusion Compared with two-dimensional measurement, quantitative three-dimensional CT measurement can provide more accurate information in maximum tumor diameter and T stage for patients with stage I NSCLC, therefore can be applied as a more accurate criterion in preoperative staging and prognosis of stage I NSCLC.

Objective:To determine a simpler and more practical scoring standard for predicting mucosal histological healing in ulcerative colitis (UC).Methods:From April 11, 2017 to February 8, 2021, 68 UC patients diagnosed with mucosal healing under endoscopy and hospitalized at Department of Gastroenterology, the Tenth People′s Hospital of Tongji University and during the same period 60 healthy individuals who underwent endoscopy for health checkup were retrospectively analyzed. Modified Mayo score and ulcerative colitis endoscopic index of severity (UCEIS), the modified Nancy index and Robarts histopathology index were determined based on the collected clinical data, endoscopic reports and histopathological evaluation. The proportions of neutrophils, eosinophils, and plasma cells in the colonic mucosal lamina propria were calculated. The proportions of activated neutrophils and T cells in the colonic mucosal lamina were calculated according to CD177 and CD40L, respectively. The new clinical and laboratory diagnostic formulas were determined by multivariate logistic regression analysis, the effectiveness of the equations was evaluated by receiver operating characteristic curve (ROC).Results:Among the 68 patients with UC, the modified Mayo score was 0.7 (0.4, 1.1), the UCEIS was 0.5 (0.3, 0.8), the Nancy index was 5.9±3.2, and the Robarts histopathology index was 2.6±1.7. According to multivariate logistic regression analysis, the formula for clinical diagnosis of histological healing was Y1=-21.09+ 355.9 X1+ 305.8 X2+ 44.91 X3 ( X1, X2 and X3 were the proportions of neutrophils, eosinophils, and plasma cells, respectively). The results of ROC analysis indicated that Y1<-0.747 was the cut-off value of diagnosis of histological healing, and the area under the curve (AUC) was 0.986 and 95% confidence interval ( CI) was 0.922 to 1.000 ( P<0.001), the sensitivity was 97.10% and the specificity was 91.20%. The formula of laboratory diagnosis of histological healing was Y2=-10.57+ 469.1 X1 + 132.7 X2 + 101.2 X3 + 18.56 X4 ( X1, X2, X3, and X4 were the proportions of CD177 + neutrophils, eosinophils, CD40L + T cells and plasma cells, respectively). The results of ROC analysis indicated that Y2<1.960 was the cut-off value of diagnosis of histological healing, and the AUC was 0.980, 95% CI was 0.913 to 0.999 ( P<0.001), the sensitivity was 84.78%, and the specificity was 100.00%. The new clinical and laboratory diagnostic criteria were positively correlated with the Nancy histological index ( r=0.411 and 0.308, P=0.001 and 0.011), and Robarts histopathology index ( r=0.311, 0.273, P=0.010 and 0.024). Conclusions:Compared with the Nancy index, the new clinical and laboratory diagnostic criteria are simpler and more practical. The new clinical diagnostic formula Y1<-0.747 and the new laboratory diagnosis formula Y2<1.960 are the independent factors for predicting histological healing in UC patients.

Objective:To investigate the value of modified early warning score (MEWS) combined with D-dimer test in the establishment of an acute pancreatitis severity evaluation model.Methods:The clinical data of 357 patients with acute pancreatitis who received treatment in the Second Affiliated Hospital of Anhui Medical University, China between January 2017 and December 2018 were collected for this study. The receiver operating characteristic curve was used to determine the optimal cut-off value of MEWS combined with D-dimer test for predicting non-mild acute pancreatitis. The relationship between MEWS and D-dimer level was analyzed using regression analysis. The area under the curve (AUC) was used to evaluate the ability of each factor to predict the severity of acute pancreatitis. The sensitivity and specificity of the new model to predict non-mild acute pancreatitis were calculated.Results:According to the receiver operating characteristic curve, the AUC of D-dimer, MEWS, and new model were 0.702, 0.628 and 0.734 respectively ( P < 0.05). The AUC of the new model in predicting non-mild acute pancreatitis was significantly higher than that of MEWS and D-dimer test (0.734 > 0.702 > 0.628, Z = 3.20, P < 0.01). Conclusion:The ability of the new model established based on MEWS and D-dimer to predict the severity of acute pancreatitis is stronger than that of each of MEWS and D-dimer. The new model is simple, convenient and more suitable for clinical use.