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Objective:To analyze the prevalence of parturiophobia and its association with preferred mode of delivery in pregnant women in Changning District, Shanghai.Methods:A cross- sectional study was conducted among 1 560 pregnant women in the third trimester who had their antenatal examination in Changning Maternity and Infant Health Hospital from September 2020 to March 2021. Fear of childbirth was measured with a validated Chinese version of Wijma Delivery Expectancy/Experience Questionnaire version A (W-DEQ-A). Based on the W-DEQ-A scores, the participants were divided into two groups: non-clinical parturiophobia group [<85 scores, including mild (≤37 scores), moderate (38-65 scores) and severe (66-84 scores) parturiophobia] and clinical parturiophobia group (≥85 scores). Rank-sum test, Chi-square test and t-test were used for univariate analysis. Multivariate binary logistic regression was used to analyze the factors associated with fear of childbirth and its relationship with preferred mode of delivery. Results:The detection rates of mild, moderate, severe and clinical parturiophobia were 18.8% (294/1 560), 44.9% (700/1 560), 31.1% (485/1 560) and 5.2% (81/1 560), respectively. Multivariate binary logistic regression showed that the participants who were supported by relatives and friends to have cesarean section ( OR=3.45, 95% CI: 1.29-9.22) or had antenatal anxiety ( OR=4.73, 95% CI: 2.49-8.97) were more likely to have clinical parturiophobia, while those with planned pregnancy ( OR=0.49, 95% CI: 0.29-0.82), high intensity physical activity ( OR=0.36, 95% CI: 0.18-0.72) or better/well understanding of the delivery process ( OR=0.42, 95% CI: 0.19-0.97) were less likely to develop clinical parturiophobia (all P<0.05). Compared with the non-clinical parturiophobia women, those with clinical parturiophobia were more likely to choose cesarean section ( OR=2.15, 95% CI: 1.22-3.78, P=0.008). Conclusions:The detection rates of severe and clinical parturiophobia are 31.1% and 5.2% in Changning District, Shanghai. The associated factors mainly include the attitudes of relatives and friends towards the mode of delivery, antenatal anxiety, planned pregnancy or not, physical activity level and the understanding of delivery process. Clinical parturiophobia might be an important factor for cesarean section on maternal request.
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Objective:To investigate the correlation between the SUV index (SUV max of the lesion/SUV mean of the liver) in 18F-FDG PET/CT imaging and the invasiveness of early lung adenocarcinoma presenting as ground-glass nodule (GGN). Methods:From January 2012 to March 2020, 167 GGN patients (49 males, 118 females; age: (61.5±9.0) years) with early lung adenocarcinoma who underwent PET/CT imaging in Changzhou First People′s Hospital were retrospectively enrolled. The image parameters including the GGN number, location, type, edge, shape, abnormal bronchus sign, vacuole sign, pleural depression, vessel convergence sign, GGN diameter ( DGGN), solid component diameter ( Dsolid), consolidation to tumor ratio (CTR, Dsolid/ DGGN), CT values (CT value of ground-glass opacity (CT GGO), CT value of lung parenchyma (CT LP), ΔCT GGO-LP (CT GGO-CT LP)) and SUV index were analyzed. Single and multivariate logistic regressions were used to analyze the correlation between SUV index and infiltration. The generalized additive model was used for curve fitting, and the piece-wise regression model was used to further explain the nonlinearity. Results:In 189 GGNs, invasive adenocarcinoma accounted for 85.2% (161/189). Single logistic regression showed that the GGN number, type, shape, edge, abnormal bronchus sign, pleural depression, vessel convergence sign, DGGN, Dsolid, CTR, CT GGO, ΔCT GGO-LP and SUV index were related factors of infiltration (odds ratio ( OR) values: 0.396-224.083, P<0.001 or P<0.05). After fully adjusting for confounding factors, SUV index was significantly correlated with increased risk of invasion ( OR=2.162 (95% CI: 1.191-3.923), P=0.011). Curve fitting showed that the SUV index was non-linearly related to the risk of infiltration, and the risk of infiltration increased significantly only when the SUV index was greater than 0.43 ( OR=3.509 (95% CI: 1.429-8.620), P=0.006). The correlation between SUV index and infiltration had no interaction between age, vacuoles, pleural depression and CTR subgroups (all P>0.05). Conclusions:SUV index is an independent factor related to the invasiveness of early lung adenocarcinoma. The higher the SUV index, the greater the risk of invasion; but the two are not simply linearly correlated.
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Objective:To evaluate the left ventricular diastolic dyssynchrony (LVDD) and its influencing factors early after acute myocardial infarction (AMI) using phase analysis of SPECT gated myocardial perfusion imaging (GMPI).Methods:Bama miniature swines ( n=16) were subjected to establish AMI models. GMPI was performed before and 1 d after AMI to obtain the extent of myocardial perfusion defect (Extent, %) and left ventricular systolic dyssynchrony (LVSD)/LVDD parameters, namely the phase histogram bandwidth (PBW) and phase standard deviation (PSD). Meanwhile, left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and the ratio of early to late peak mitral diastolic flow (E/A) were obtained by echocardiography. Independent-sample t test, paired t test and Pearson correlation analysis were used to analyze the data. Results:Sixteen AMI swines were successfully created. Compared to baseline, Extent, LVEDV and LVESV significantly increased on 1 d after AMI ( t values: -11.14, -4.55, -6.12, all P<0.001), while LVEF and E/A significantly decreased ( t values: 10.16, 2.18, P<0.001, P=0.046). GMPI showed that the LVDD parameters PBW and PSD increased significantly on 1 d after AMI when compared to those at baseline((142.25±72.06)° vs (33.06±8.98)°, (56.15±26.71)° vs (12.51±5.13)°; t values: -6.11, -6.60, both P<0.001). There were significant differences between LVSD parameters and LVDD parameters (PBW: (109.06±62.40)° vs (142.25±72.06)°, PSD: (44.40±25.61)° vs (56.15±26.71)°; t values: -2.73, -2.20, P values: 0.016, 0.044). LVDD parameters PBW, PSD were negatively correlated with E/A after AMI ( r values: -0.569, -0.566, P values: 0.021, 0.022), and positively correlated with the Extent ( r values: 0.717, 0.634, P values: 0.002, 0.008). The phase analysis of SPECT GMPI to evaluate LVDD showed good intra-observer and inter-observe reproducibility (intraclass correlation coefficient (ICC): 0.953-0.984, all P<0.001). Conclusions:LVDD occurs early on 1 d after AMI, and can reflect left ventricular diastolic dysfunction. The Extent is correlated with LVDD significantly. Phase analysis of SPECT GMPI is an accurate method to evaluate LVDD and left ventricular diastolic function.
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Objective:To explore the relationship between the maximum standard uptake value (SUV max) based on 18F-fluorodeoxyglucose (FDG) PET-CT and the epidermal growth factor receptor (EGFR) mutation status of lung adenocarcinoma appearing as ground glass nodules (GGN). Methods:A total of 103 patients with lung adenocarcinoma from October 2011 to December 2020 in the Third Affiliated Hospital of Soochow University were retrospectively enrolled. All patients underwent 18F-FDG PET-CT and high-resolution CT, and underwent surgical resection and EGFR detecting within one month. The patients were divided into EGFR mutation group and wild group according to the EGFR test results. The GGN number, type, location, shape, lobulation sign, spicule sign, abnormal bronchial sign, vacuole sign, pleural indentation, diameter of GGNs (D GGN), diameter of solid component (D solid) and nodule ground-glass opacity component CT mean (CT GGO) were analyzed on CT images. The maximum standard uptake value (SUV max) of nodules was measured on PET-CT images. The t test, Mann-Whitney U test or χ 2 test were used to compare the differences of clinical data, pathological data, CT imaging parameters and SUV max between the two groups. Hierarchical binary logistic regression model was used to assess whether there was any association between SUV max and EGFR mutation status in different subgroups. Generalized additive model and smooth curve fitting were applied to solve nonlinear problems, and piecewise binary logistic regression model was used to explain nonlinearity. Results:A total of 103 patients with 106 nodules were finally included. There were 75 patients (78 nodules) in the EGFR mutation group and 28 patients (28 nodules) in the EGFR wild group. Adenocarcinomas with EGFR mutation showed significantly higher spiculated edge, pleural depression sign and invasive adenocarcinoma proportions than those in EGFR wild group ( P<0.05). There were no significant differences in other indicators between groups ( P>0.05). After adjusting for age and fasting blood glucose, gender and the number of GGNs significantly affected the relationship between SUV max and EGFR mutation ( P<0.05), which suggested that there was an interaction. After adjusting for confounding factors, there was a non-linear relationship between SUV max and EGFR mutation status in female subgroup (degree of freedom was 1.817, P=0.026). When SUV max<2.4, the risk of EGFR mutation increased significantly with the increase of SUV max (OR=43.621, 95%CI 4.686-406.042), P<0.001]. When SUV max>2.4, the risk of EGFR mutation increased insignificantly ( P=0.392). Conclusions:Lung adenocarcinoma appearing as GGN has a higher risk of EGFR mutation. The risk of EGFR mutation in female patients increases with increasing SUV max, but there is saturation effect.
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Objective:To investigate the predictive value of 18F-fluorodeoxyglucose (FDG) PET/CT metabolic parameters for occult lymph node metastasis (OLM) in non-small cell lung cancer (NSCLC). Methods:A total of 183 patients (72 males, 111 females; age (61.5±8.4) years) who underwent 18F-FDG PET/CT and preoperatively diagnosed with clinical N0 stage (cN0) in Third Affiliated Hospital of Soochow University from January 2013 to December 2018 were retrospectively enrolled. All patients underwent anatomical pulmonary resection with systematic lymph node dissections within 3 weeks after 18F-FDG PET/CT examinations. According to the presence or absence of lymph node metastasis, patients were divided into OLM positive (OLM+ ) group and OLM negative (OLM-) group. Parameters of primary lesions, such as the maximum diameter (D max), tumor sites, morphological features, maximum standardized uptake value (SUV max), mean standardized uptake value (SUV mean), metabolic total volume (MTV), total lesion glycolysis (TLG), tumor SUV max to liver SUV mean (TLR max), tumor TLG to liver SUV mean (TLR TLG) were analyzed. Mann-Whitney U test and χ2 test were used to compare the parameters between groups. Multivariable logistic regression was used to analyze the independent risk factors for OLM. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of different parameters. Results:Among 183 patients, 25 (13.7%, 25/183) of them were diagnosed as OLM. In OLM+ group, 46 lymph nodes were pathologically positive for metastasis, including 15 N1 disease and 31 N2 disease. D max (2.9(2.3, 3.7) vs 2.3(1.7, 2.8) cm), lobulation ((76.0%(19/25) vs 37.3%(59/158)), SUV max (11.1(7.9, 17.7) vs 4.7(2.3, 9.2)), TLG (41.5(10.2, 91.1) vs 15.6(6.5, 23.8) ml), TLR max (4.7(3.5, 7.6) vs 2.1(0.9, 4.0)) and TLR TLG (18.1(5.0, 44.3) vs 6.1(3.0, 11.4) ml) of the primary lesions in OLM+ group were significantly higher than those in OLM-group ( z values: from -4.709 to -3.247, χ2=13.190, all P<0.05). Multivariable logistic regression analysis showed that TLR max (odds ratio ( OR)=15.145, 95% CI: 3.381-67.830, P<0.001) and D max ( OR=3.220, 95% CI: 1.192-8.701, P=0.021) were independent risk factors for OLM. TLR max yielded the highest area under curve (AUC; AUC=0.794) with the threshold of 3.12, and the sensitivity, specificity, accuracy, positive predictive value and negative predictive value for predicting OLM were 92.0%(23/25), 63.3%(100/158), 67.2%(123/183), 28.4%(23/81) and 98.0%(100/102), respectively. Conclusions:TLR max of tumor is the independent risk factor for OLM in NSCLC patients. TLR max can sensitively predict OLM preoperatively in patients with NSCLC.