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 explore the expression of serum growth differentiation factor-8(GDF-8)and silent information regulator 4(Sir4)in elderly patients with chronic heart failure(CHF)and their relationship with left ventricular remodeling and cardiac function.Methods A total of 300 CHF patients admitted in our hospital from Jan 2021 to Dec 2023 were recruited and assigned into an observation group,and 100 healthy individuals who took physical examination during the same period served as control group.Based on New York Heart Association(NYHA)heart function classification,the patients in the observation group were divided into Grade Ⅰ(60 cases),Ⅱ(72 cases),Ⅲ(102 cases),and Ⅳ(66 cases)subgroups.Their clinical data were collected,serum GDF-8 and Sir4 levels were detected,left ventricular remodeling was evaluated with echocardiography,and cardiac dysfunction was assessed with NYHA cardiac function grading.Pearson and Spearman correlation analyses were used to analyze the correlation of GDF-8 and Sir4 levels with left ven-tricular remodeling and myocardial injury.Results The observation group had significantly larger left atrial diameter(LAD)and left ventricular end diastolic diameter(LVEDD),thicker left ven-tricular posterior wall thickness(LVPWT)and interventricular septum thickness(IVST),and higher left ventricular mass index(LVMI)and serum Sir4 and GDF-8 levels(42.46±4.75 mm vs 36.39±5.33 mm,54.63±7.96 mm vs 47.42±8.08 mm,9.44±1.21 mm vs 8.49±0.88 mm,9.27±1.58 mm vs 8.66±1.71 mm,141.49±5.32 g/m2 vs 106.52±7.33 g/m2,3.69±1.06 g/L vs 1.48±0.42 g/L,33.75±10.64 g/L vs 19.08±5.13 g/L,P＜0.01),but lower LVEF[(40.02±10.14)％vs(63.64±6.13)％,P＜0.01]and left ventricular remodeling index(LVRI,1.05±0.24 g/ml vs 1.32±0.33 g/ml,P＜0.01)when compared with the control group.The levels of Sir4 and GDF-8,as well as LVMI,were gradually increased,while the LVRI was decreased in Grades Ⅰ,Ⅱ,Ⅲ,and Ⅳ subgroups in turn,with statistical differences in the subgroups(P＜0.01).Pearson and Spearman correlation analyses showed that Sir4 and GDF-8 levels were positively correlated with LAD,LVEDD,LVPWT,IVST,LVMI,and NHYA cardiac function grade(P＜0.01),and nega-tively with LVEF and LVRI(P＜0.01).Conclusion Serum Sir4 and GDF-8 levels are abnormally elevated in elderly CHF patients,and their levels are positively correlated with the severity of left ventricular remodeling and the severity of cardiac dysfunction.

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.

Background::Histological healing is closely associated with improved long-term clinical outcomes and lowered relapses in patients with ulcerative colitis (UC). Here, we developed a novel diagnostic criterion for assessing histological healing in UC patients.Methods::We conducted a retrospective cohort study in UC patients, whose treatment was iteratively optimized to achieve mucosal healing at Shanghai Tenth People’s Hospital of Tongji University from January 2017 to May 2022. We identified an inflammatory cell enumeration index (ICEI) for assessing histological healing based on the proportions of eosinophils, CD177 + neutrophils, and CD40L + T cells in the colonic lamina propria under high power field (HPF), and the outcomes (risks of symptomatic relapses) of achieving histological remission vs. persistent histological inflammation using Kaplan-Meier curves. Intrareader reliability and inter-reader reliability were evaluated by each reader. The relationships to the changes in the Nancy index and the Geboes score were also assessed for responsiveness. The ICEI was further validated in a new cohort of UC patients from other nine university hospitals. Results::We developed an ICEI for clinical diagnosis of histological healing, i.e., Y = 1.701X 1 + 0.758X 2 + 1.347X 3 - 7.745 (X 1, X 2, and X 3 represent the proportions of CD177 + neutrophils, eosinophils, and CD40L + T cells, respectively, in the colonic lamina propria under HPF). The receiver operating characteristics curve (ROC) analysis revealed that Y <-0.391 was the cutoff value for the diagnosis of histological healing and that an area under the curve (AUC) was 0.942 (95% confidence interval [CI]: 0.905-0.979) with a sensitivity of 92.5% and a specificity of 83.6% ( P <0.001). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.855 (95% CI: 0.781-0.909), and ICEI had good inter-reader reliability of 0.832 (95% CI: 0.748-0.894). During an 18-month follow-up, patients with histological healing had a substantially better outcome compared with those with unachieved histological healing ( P <0.001) using ICEI. During a 12-month follow-up from other nine hospitals, patients with histological healing also had a lower risk of relapse than patients with unachieved histological healing. Conclusions::ICEI can be used to predict histological healing and identify patients with a risk of relapse 12 months and 18 months after clinical therapy. Therefore, ICEI provides a promising, simplified approach to monitor histological healing and to predict the prognosis of UC.Registration::Chinese Clinical Trial Registry, No. ChiCTR2300077792.