Objective: To investigate the association between plant-based dietary patterns and gestational weight gain (GWG) among pregnant women with gestational diabetes mellitus (GDM), so as to provide the evidence for guiding the reasonable diet during pregnancy. Methods: GDM pregnant women who participated in the WeBirth project in Hangzhou Obstetrics and Gynecology Hospital were selected. Maternal age and pre-pregnancy body mass index (BMI) were collected. The Chinese version of Pregnancy Physical Activity questionnaire was used to assess the daily activity equivalent. The food frequency questionnaire was used to collect the frequency and amount of food intake in the last month before enrollment. The overall plant-based diet index (PDI), healthy plant-based diet index (HPDI), and unhealthy plant-based diet index (UPDI) were constructed based on food intake and grouped by quartiles. Multiple linear regression models were used to analyze the association between plant-based dietary patterns and GWG. Results: A total of 1 943 pregnant women with GDM, with a median age of 30.91 (interquartile range, 4.92) years. The median BMI of pre-pregnancy was 21.51 (interquartile range, 4.06) kg/m2. The medians of PDI, HPDI and UPDI were 32.42 (interquartile range, 4.60), 32.48 (interquartile range, 4.41) and 32.40 (interquartile range, 5.36), respectively. The median of GWG was 11.30 (interquartile range, 4.52) kg. Multiple linear regression analysis showed that PDI (Q3 group, β=0.674, 95%CI: 0.064-1.285; Q4 group, β=0.702, 95%CI: 0.098-1.306), UPDI (Q3 group, β=1.332, 95%CI: 0.771-1.894; Q4 group, β=1.115, 95%CI: 0.550-1.681) were positively associated with GWG after adjusting for age, pre-pregnancy BMI, daily activity equivalent and daily energy intake. No significant association was found between HPDI and GWG (all P>0.05). Conclusion UPDI was associated with a higher risk of GWG in pregnant women with GDM.

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.

Objective To analyze the imaging manifestations of malignant transformation of ovarian mature teratoma.Methods The clinical data and CT and MRI imaging findings of four patients confirmed as malignant transformation of ovarian mature teratoma by operation and pathology were analyzed retrospectively.The following imaging features were assessed:size,shape,texture,enhancement degree and pattern,et al.Results Among the four cases,three lesions were located in the left ovary and one in the right ovary.The minimum size and maximum size were 87 mm×80 mm×87 mm and 171 mm×141 mm×215 mm,respectively.All of the lesions showed as round-like or ovoid cystic masses with fat-fluid level(4/4),and floating mixed density or signal masses(2/4).The demonstrated local thickening of the cyst wall(2/4)and/or soft mass growing across the wall(3/4),with significant inhomogeneous enhancement(2/3).Conclusion The malignant transformation of ovarian mature teratoma often presents as a cystic mass with fat-fluid level,and local thickening or soft mass of the cyst wall,with significant enhancement.It should be considered in the elderly patients with abnormal tumor markers and above imaging features.

Objective:To investigate the value of the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features in preoperatively predicting tumor deposits (TDs) in colorectal cancer.Methods:This study was a case-control study. A total of 126 patients with pathologically confirmed colorectal cancer who underwent preoperative spectral CT scan from January 2022 to March 2023 in the First Affiliated Hospital of Soochow University were enrolled retrospectively. Patients were divided into TDs-positive group ( n=38) and TDs-negative group ( n=88) based on pathological results. The following conventional CT features were assessed: cT stage, cN status, uniformity of enhancement in the venous phase, pericolorectal fat invasion (PFI), maximum tumor diameter, and tumor location. The following quantitative parameters were also measured and calculated: the normalized iodine concentration (NIC) of lesions, the normalized effective atomic number (NZ eff), and the slope of the 40-100 keV spectral curve (K) in the arterial and venous phases, and the difference in NIC between the arterial and venous phases. Multivariate logistic regression analysis was used to select independent predictors of TDs and the nomogram based on spectral CT quantitative parameters and conventional CT features was constructed. The receiver operating characteristic curve was performed to evaluate the diagnostic performance of each parameter and model. DeLong test was used to compare the differences of area under the curve (AUC). Results:Statistically significant differences were found between the TDs-positive and TDs-negative groups for the cT stage, cN status, uniformity of enhancement in the venous phase, PFI, NIC, NZ eff, K in the venous phase and the difference in NIC between the arterial and venous phases ( P<0.05). After multivariate logistic regression analysis, the conventional CT feature model incorporated two features: uniformity of enhancement in the venous phase (OR=9.602, 95% CI 3.728-24.734, P=0.001) and PFI ( OR=2.881, 95% CI 1.177-7.049, P=0.020). The combined model of conventional CT features and spectral CT quantitative parameters incorporated three features: the difference in NIC between the arterial and venous phases ( OR=37.599, 95% CI 8.320-169.912, P=0.001), uniformity of enhancement in the venous phase ( OR=14.978, 95% CI 3.848-58.295, P=0.001), and PFI ( OR=4.013, 95% CI 1.320-12.760, P=0.015), and the nomogram was constructed. The AUC, sensitivity, and specificity of the nomogram for predicting TDs were 0.919 (95% CI 0.865-0.973), 84.2%, and 86.5%, respectively. The AUC of the conventional CT feature model was 0.796 (95% CI 0.707-0.885), which was lower than that of the nomogram, and the difference was statistically significant ( Z=3.87, P=0.001). Conclusion:Dual-layer spectral detector CT can be used to predict TDs in colorectal cancer preoperatively, and the nomogram based on quantitative parameters of dual-layer detector spectral CT and conventional CT features shows good diagnostic performance.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class

To predict the epidemiological trend of coronavirus disease 2019 (COVID-19) by mathematical modeling based on the population mobility and the epidemic prevention and control measures. : As of February 8，2020，the information of 151 confirmed cases in Yueqing，Zhejiang province were obtained，including patients' infection process，population mobility between Yueqing and Wuhan，etc. To simulate and predict the development trend of COVID-19 in Yueqing, the study established two-stage mathematical models，integrating the population mobility data with the date of symptom appearance of confirmed cases and the transmission dynamics of imported and local cases. : It was found that in the early stage of the pandemic，the number of daily imported cases from Wuhan (using the date of symptom appearance) was positively associated with the number of population travelling from Wuhan to Yueqing on the same day and 6 and 9 days before that. The study predicted that the final outbreak size in Yueqing would be 170 according to the number of imported cases estimated by consulting the population number travelling from Wuhan to Yueqing and the susceptible-exposed-infectious-recovered (SEIR) model; while the number would be 165 if using the reported daily number of imported cases. These estimates were close to the 170，the actual monitoring number of cases in Yueqing as of April 27，2020. : The two-stage modeling approach used in this study can accurately predict COVID-19 epidemiological trend.
COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Models, Theoretical ; Pandemics ; SARS-CoV-2

Objective:To develop a radiomics nomogram model based on CT to distinguish arteriovenous malformation(AVM) intracerebral hemorrhage from primary intracerebral hemorrhage.Methods:One hundred and thirty-five patients with cerebral hemorrhage confirmed by operation in the First Affiliated Hospital of Soochow University were analyzed retrospectively, including 52 patients with AVM cerebral hemorrhage and 83 patients with primary cerebral hemorrhage. Radiomics features were extracted from baseline CT, radiomics score (Radscore) was calculated and radiomic labels were constructed. Multiple logistic regression analysis was used for clinical features combined with CT signs to establish a clinical model. And then the nomogram model was generated according to the Radscore and the clinical model. The ROC curve and decision curve analysis (DCA) were used to evaluate the discrimination performance of the model.Results:Six features were selected and used to establish radiomic labels. The clinical model consisted of age (OR: 4.739, 95%CI 1.382-16.250) and hematoma location (OR: 0.111, 95%CI 0.032-0.385), while the nomogram model consisted of age, hematoma location and Radscore. In the training group, there was a significant difference between the nomogram model [area under curve (AUC) 0.912] and the clinical model (AUC 0.816), the radiomics model (AUC 0.857) ( Z=2.776, 2.034, P=0.006, 0.042, respectively); While in the validation group, there was no significant difference between the nomogram model (AUC 0.919) and the clinical model (AUC 0.788), the radiomics model (AUC 0.810) ( Z=1.796, 1.788, P=0.073, 0.074, respectively). DCA analysis showed that the clinical value of the nomogram model was superior to the clinical model and radiomic model. Conclusion:The radiomics nomogram can effectively distinguish AVM-related cerebral hemorrhage from primary cerebral hemorrhage, which is helpful for clinical decision-making.

Objective To investigate the safety and efficacy of wide local excision surgery combined with 5-aminolaevulinic acid(ALA)-photodynamic therapy(PDT)in treating Paget's disease of the scrotum in elderly people.Methods Patients with an average age of 68.4 ± 4.7 years undergoing wide local excision surgery combined with ALA-PDT for Paget's disease of the scrotum from June 2014 to February 2018 were followed up.All patients underwent wide local excision surgical treatment first and were then enrolled in ALA-PDT study after the diagnosis of Paget's disease of the scrotum was confirmed.Four cases were eliminated as a result of two patients refusing photodynamictherapy for various reasons and two patients lost during follow-up after ALA-PDT.A total of 16 patients were included in the study,of whom 6 cases were in Ray stage A1,7 cases in stage A2 and 3 cases in stage B.Patients underwent 3 courses of ALA-PDT after operation.Then the efficacy,shortand medium-term complications were followed up.Results The duration of disease among the 16 patients ranged from 4 to 76 months before diagnosis,with an average of 35.7 months.Surgery was performed immediately after diagnosis.Ten patients underwent resection and suture and 6 patients were treated with skin flap transfers.Of the patients treated with surgery,3 patients received suspicious lymph node dissection and 1 patient underwent reoperation due to skin flap necrosis.Patients were followed up for 3 months to 3 years and 6 months after ALA-PDT.Recurrence and distant metastasis occurred in 2 cases,with 1 case of brain metastasis and 1 case of systemic metastasis,and the overall recurrence rate was 12.5％.During the follow-up,there were no other serious complications except for 1 case(6.3 ％)with lower limb movement disorders.Conclusions Wide local excision surgery combined ALA-PDT has good clinical outcomes,low recurrence rates and few complications for the treatment of Paget's disease of the scrotum in elderly people.

Objective To systematically review and evaluate the perioperative indicators and surgical curative effect of 980 nm diode laser vaporization of prostate and transurethral resesction of prostate (TURP) in treating benign prostatic hyperplasia (BPH). Methods Retrieved published comparative studies 980 nm diode laser vaporization of prostate versus transurethral resesction of prostate in treating benign prostatic hyperplasia, and pooled the data from eligible studies. The statistical analysis was performed using Revman 5.3 software. Results Six trials including 839 patients were eligible to the criteria (450 in 980 nm diode laser group and 389 in TURP group). The baseline of patients characteristics were comparable in all the studies. Meta analysis showed that: the operative time was not significantly different between the 980 nm diode laser group and TURP group [SMD = 0.11, 95 ~ CI (-0.52,0.74), P > 0.05]; Compared with TURP group, 980 nm diode laser group has shorter hospital stays [SMD = -1.95, 95%CI (-3.42, -0.48), P < 0.05], and shorter catheterization time [SMD = -2.64, 95%CI (-3.92, -1.36), P < 0.05]. There was no significant difference between IPSS [WMD = 0.12, 95%CI (-0.27, 0.51), P > 0.05], QOL [SMD = 0.00, 95%CI (-0.57, 0.57), P > 0.05] and Qmax [SMD = 0.06, 95%CI (-0.26, 0.37), P > 0.05]. Conclusion 980 nm diode laser vaporization of prostate is safe and effective in treating benign prostatic hyperplasia, and compared with TURP, it has advantages in shorter hospital stays and shorter catheterization time.