Objective To propose a method for abdominal multi-organ segmentation assisted by multi-phase CT synthesis.Methods Multi-phase CT synthesis for synthesizing high-quality CT images was used to increase the information details for image segmentation.A transformer block was introduced to help to capture long-range semantic information in cooperation with perceptual loss to minimize the differences between the real image and synthesized image.Results The model was trained using multi-phase CT dataset of 526 total cases from Nanfang Hospital.The mean maximum absolute error(MAE)of the synthesized non-contrast CT,venous phase contrast-enhanced CT(CECT),and delay phase CECT images from arterial phase CECT was 19.192±3.381,20.140±2.676 and 22.538±2.874,respectively,which were better than those of images synthesized using other methods.Validation of the multi-phase CT synthesis-assisted abdominal multi-organ segmentation method showed an average dice coefficient of 0.847 for the internal validation set and 0.823 for the external validation set.Conclusion The propose method is capable of synthesizing high-quality multi-phase CT images to effectively reduce the errors in registration between different phase CT images and improve the performance for segmentation of 13 abdominal organs.

Objective To propose a method for abdominal multi-organ segmentation assisted by multi-phase CT synthesis.Methods Multi-phase CT synthesis for synthesizing high-quality CT images was used to increase the information details for image segmentation.A transformer block was introduced to help to capture long-range semantic information in cooperation with perceptual loss to minimize the differences between the real image and synthesized image.Results The model was trained using multi-phase CT dataset of 526 total cases from Nanfang Hospital.The mean maximum absolute error(MAE)of the synthesized non-contrast CT,venous phase contrast-enhanced CT(CECT),and delay phase CECT images from arterial phase CECT was 19.192±3.381,20.140±2.676 and 22.538±2.874,respectively,which were better than those of images synthesized using other methods.Validation of the multi-phase CT synthesis-assisted abdominal multi-organ segmentation method showed an average dice coefficient of 0.847 for the internal validation set and 0.823 for the external validation set.Conclusion The propose method is capable of synthesizing high-quality multi-phase CT images to effectively reduce the errors in registration between different phase CT images and improve the performance for segmentation of 13 abdominal organs.

Objective:To systematically evaluate the effect of hepatitis B virus (HBV) infection on the risk of adverse pregnancy outcomes.Methods:We searched PubMed, Embase, Web of Science, and Cochrane databases. Two researchers independently screened the literature, extracted data, and evaluated the quality. Meta-analysis and cumulative meta-analysis were performed using R4.4.1 software. Fixed/random effects models were used to analyze heterogeneous and non-heterogeneous results. Heterogeneous modifiers were identified by subgroup analysis. Funnel plots and Peters' test were used to analyze potential publication bias.Results:A total of 48 studies involving 92 836 HBsAg-positive pregnant women and 7 123 292 HBsAg-negative pregnant women were included. In terms of adverse pregnancy outcomes, HBV infection was significantly correlated with the occurrence of gestational diabetes mellitus [odds ratio ( OR)=1.34, 95% confidence interval ( CI): 1.17-1.53] and intrahepatic cholestasis ( OR=2.48, 95% CI: 1.88-3.29), with statistically significant differences. In terms of adverse neonatal outcomes, HBV infection was significantly correlated with the occurrence of neonatal asphyxia ( OR=1.49, 95% CI: 1.20-1.86) and preterm birth ( OR=1.22, 95% CI: 1.12-1.33), with statistically significant differences. In addition, the cumulative meta-analysis demonstrated that the risk of gestational diabetes mellitus and preterm birth both tended to be stable in pregnant women with HBV infection following 2009 and 2010, respectively. The supplementary questions answered for repeated studies had limited significance. Conclusion:Intrahepatic cholestasis, gestational diabetes mellitus, neonatal asphyxia, and preterm birth occurrence risk can be raised with HBV infection in pregnant women.

Objective:To investigate the feasibility of a three-dimensional no new U-Net (3D nnU-Net) deep learning (DL) network for the automatic segmentation of colorectal cancer (CRC) based on abdominal CT images.Methods:This was a cross-sectional study. From January 2018 to May 2023, a total of 2180 primary CRC patients, confirmed by pathology at the Guangdong Provincial Hospital of Traditional Chinese Medicine (center 1, n=777), Nanfang Hospital, Southern Medical University (center 2, n=732), and Sun Yat-sen Memorial Hospital (center 3, n=671), were enrolled in this retrospective study. The baseline abdominal CT examination of each patient was conducted using CT equipment from 7 different models across 4 vendors, at the 3 centers, encompassing both the arterial phase (AP) and venous phase (VP). Two radiologists manually delineated the volume of interest to circumscribe the entire tumors in dual-enhanced phase CT images. The CT data of CRC patients from center 1 and center 3 were merged and divided into a training set ( n=1 159) and a validation set ( n=289) using a weighted random method with a ratio of 4∶1. The patients from center 2 were used as an independent external test set ( n=732). The 3D nnU-Net segmentation model was trained and tested. Using manually annotated label data as the benchmark, segmentation performance of the model was evaluated based on different phases and tumor locations. The segmentation coverage rate (SCR), Dice similarity coefficient (DSC), recall (REC), precision (PRE), F1-score, and 95% Hausdorff distance (HD 95) were calculated. The mean manual segmentation time and the mean automatic time were compared using independent samples t-test. Results:In the independent external test set, the performance of the 3D nnU-Net model based on the AP CT images was superior to that based on the VP CT images. On the AP images, the SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.865, 0.714, 0.716, 0.736, 0.714, and 27.228, respectively; on the VP images, they were 0.834, 0.679, 0.710, 0.675, 0.679, and 29.358, respectively. The model achieved the best performance on right-sided colon cancer, with SCR, DSC, REC, PRE, F1-score, and HD95 on the AP CT images at 0.901, 0.775, 0.780, 0.787, 0.775, and 21.793, respectively. Next were left-sided colon cancer and rectal cancer, while the segmentation performance for transverse colon cancer was the worst (SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.731, 0.631, 0.641, 0.630, 0.631 and 38.721, respectively). The automatic segmentation time on a single phase was (1.0±0.3) min, while the manual segmentation time was (17.5±6.0) min ( t=128.24, P<0.001). Conclusions:After training and validating on a dataset from multiple centers with various CT scanner vendors, the 3D nnU-Net DL model demonstrates the capability to automatically segment CRC based on abdominal CT images, while also showcasing commendable robustness and generalization ability.

Objective UPLC-Q-TOF-MS integrated molecular network strategy was used to rapidly analyze and identify the chemical components of Yuye detoxification Particle. Methods The secondary mass spectrometry data of compounds were obtained using mass spectrometry scanning in both positive and negative ion mode. The similarity of MS/MS fragmentation patterns was calculated to create the global natural product social molecular networking (GNPS) platform. The major components in Yuye detoxification Particle were quickly identified according to the molecular clusters with similar structures in GNPS. Manual analysis and identification of other compounds were performed according to the mass fragment ion information of the primary and secondary mass spectrum data and related references by using the molecular feature extraction (MFE) function of Agilent Masshunter Qualitative Analysis workstation and traditional Chinese Medicine composition database (TCM-DATA). Results A total of 89 compounds in Yuye detoxification Particle were identified by LC-MS,including 22 phenoliacids,21 flavonoids and their glycosides,6 iridoid glycosides,28 triterpenoid saponins and 12 other types of ingredients. Conclusion UPLC-Q-TOF-MS/MS integrated molecular network technology can be used for rapid and systematic identification of chemical components of Yuye detoxification Particle,which provides theoretical basis for its quality control and clinical application. The established molecular network can provide reference for rapid qualitative analysis of components of traditional Chinese medicine compound.

Objective:To analyze the consistency and correlation between the Chinese Version of Swanson Nolan and Pelham, Version Ⅳ Scale (SNAP-Ⅳ) and the Integrated Visual and Auditory Continuous Performance Test (IVA-CPT) in the assessment of attention deficit hyperactivity disorder (ADHD), thus providing a reliable basis for the diagnosis of ADHD, and reducing the misdiagnosis rate and missed diagnosis rate.Methods:Clinical data of children to be diagnosed as ADHD in the Department of Children′s Rehabilitation, Yuying Children′s Hospital of the Second Affiliated Hospital of Wenzhou Medical University from October 2019 to July 2020 were collected.A total of 282 SNAP-Ⅳ and IVA-CPT profiles were collected, and the Kappa test and Pearson test were used to retrospectively analyzed for their consistency and correlation in the diagnosis of ADHD. Results:SNAP-Ⅳ and IVA-CPT were consistent in the diagnosis of ADHD (Kappa value=0.514, total coincidence rate=65.6%, P<0.000 1). Inattention subset scores of SNAP-Ⅳ were consistent with the assessment of ADHD by IVA-CPT (Kappa value=0.485, total coincidence rate=75.5%, P<0.000 1). Inattention subset scores of SNAP-Ⅳ were negatively correlated with the Full Scale Attention Quotient (FAQ) in IVA-CPT ( r=-0.71, P<0.000 1). Hyperactivity-impulsive subscale in the SNAP-Ⅳ and IVA-CPT were consistent in the assessment of hyperactivity-impulsive behavior (Kappa value=0.585, total coincidence rate=81.6%, P<0.000 1). Hyperactivity-impulse subset scores were negatively correlated with the Full Scale Response Control Quotient (FRCQ) in IVA-CPT ( r=-0.74, P<0.000 1). Conclusions:Both SNAP-Ⅳ and IVA-CPT have certain diagnostic potential of ADHD, showing good consistency and correlation.They can be both used to provide a more comprehensive diagnosis basis, thereby reducing the misdiagnosis rate and missed diagnosis rate of ADHD.

On March 24, 2017, a patient with Von Hippel-Lindau syndrome (VHL) characterized by bilateral adrenal pheochromocytoma and pancreatic tumors was admitted to our hospital, who underwent simultaneous pancreatic body and tail tumor resection, bilateral adrenal tumor resection and Omentum transplantation of the right adrenal gland.Intraoperative hormone therapy was used. Part of the normal adrenal tissue was preserved and embedded in the omentum, but an adrenal crisis occurred on the first day after the operation.The hormone replacement was used. Postoperative hormone replacement therapy was performed for 6 months. After 4 years of follow-up, blood pressure was normal, no cortical dysfunction, no tumor recurrence or other related lesions appeared. The preserved part of adrenal tissue during simultaneous multi-organ tumor resection for such patients can reduce long-term hormone replacement after surgery and prevent late adrenal cortex dysfunction.

Objective:To investigate the application of Aptima high-risk human papillomavirus (HR-HPV) E6/E7 mRNA (AHPV) and its genotyping (GT) in the risk assessment of low-grade squamous intraepithelial lesions (LSIL).Methods:The AHPV and its genotype (AHPV-GT) incervical exfoliated cells were detectedin 529 women with LSIL.The DNA-Based Hybrid Capture 2 HPV Test (HC2-HPV), colposcopy and cervical biopsy were performedsimultaneously.Results:① In 529 patients with LSIL, the positive rate of HC2-HPV in the group of ＜30 years old was significantly higher than that in the group of ≥30 years old (92.2％ vs 83.6％, P=0.026).There was no significant difference in AHPV positive rate among different age groups (82.5％ vs 77.7％, P=0.284).No significant difference of the genotyping (AHPV-GT) was detected between the two groups, either.In the 529 cases, 83 cases of HSIL+were confirmed by histology.81 cases (97.6％) were AHPV positive in the patients with HSIL+;② Compared with other 11 positive types of HR-HPV, the incidence of HSIL+in GT+ women increased significantly (P＜0.05).In the group ≥30 years old, the OR value of HSIL+exposure risk of AHPV16 positive women was the highest (141.00), which was significantly higher than that of 18/45+, GT +, AHPV + (P=0.005, 0.000, 0.000).However, in the group of ＜30 years old, the OR value of HSIL+exposure risk of AHPV16 positive women was 8.50, which showed no significant difference from that of 18/45+ and AHPV-(P=1.000, 0.070).③ In group over 30 years old, the specificity of detecting HSIL+by AHPV was higher than that by HC2-HPV (P＜0.05).There was no significant difference in detection specificity between AHPV and HC2-HPV in women under 30 years old.Conclusions:AHPV and its GT detection are reliable methods for colposcopic screening and risk stratification in women aged over 30 years old with LSIL, more attention should be focused on AHPV16 positive.Better biological markers should be explored for younger women.

Objective To investigate the clinical characteristics and the pathogens of recurrent urinary tract infection (RUTI) after renal transplantation.Methods The data of adult recipients with UTI from November 2011 to December 2016 were retrospectively analyzed.The recipients were divided into single UTI (SUTI) group and RUTI group.The clinical characteristics and pathogens were analyzed,and the independent risk factors of RUTI were analyzed using logistic regressionmodel.Results Fifty-three cases were selected,including 29 cases of SUTI and 24 cases of RUTI.The positive rate of blood culture (55％ vs.25％,P =0.042) and the concentration of FK506 in the peri-infection period (11.0 + 3.4 ng/mL vs.8.6 + 3.2 ng/mL,P =0.024) in the RUTI group were significantly higher than that those in the SUTI group at the first UTI.The increased concentration of FK506 in the peri-infection period at the first UTI was an independent risk factor for RUTI (β:0.282,95％ CI:1.026-1.713,P＜0.05).There were 86 infection events in 53 patients,and pathogenic microorganisms were cultured in blood culture and urine culture for 86 times.The positive frequency of culture in the RUTI group was higher than that in the SUTI group,but not significantly.The most common pathogenic microorganisms included Escherichia coli (17 times),pseudomonas aeruginosa (16 times),and Enterococcus (16 times).Conclusion Reduction of the FK506 concentration during the peri-infection period at the first UTI is the key to prevent RUTI after renal transplantation.The empirical antibiotics for RUTI should be sensitive for Escherichia coli (ESBL +)and pseudomonas aeruginosa.

Objective To explore the outcomes and prognostic effects of Ivor Lewis esophagectomy and evalue the N staging.Methods Participants comprised 1145 patients with ESCC from Jan.2004 to Dec.2013,who under-went Ivor Lewis esophagectomy.The clinicopathologic data were analyzed.Kaplan -Meier and Cox regression methods were used for survival analysis.Results The morbidity of postoperative complication was 9.15% and with 1.83% of motality.The 1 -,3 - and 5 -year survival rates were 84.2%,58.4%,47.9% respectively.The median survival time was 55 months and average survival time was (70.16 ±2.086)months.Cox model multivariate analysis was used for those of P <0.05 in single variate analysis.Univariate analysis revealed that gender(P =0.003),smoking history (P =0.013),alcohol history(P =0.017),tumor location(P =0.001),body mass index(P =0.008),tumor length (P =0.000),differentiation degree(P =0.000),numbers of metastic zones(P =0.000)of lymph node metastasis (P =0.000),depth of invasion (P =0.000),pathological staging(P =0.000),vascular tumor thrombus (P =0.000),nerve involvement(P =0.000)and postoperative adjuvant therapy(P =0.000)were influencing prognosis factors.And multivariate analysis revealed that differentiation degree(P =0.000),depth of invasion(P =0.000), numbers of metastic zones (P =0.013 )of lymph node metastasis (P =0.000)were independent risk factors. Conclusion Ivor Lewis esophagectomy was a safe and effective treatment,and tumor differentiation degree,depth of invasion,numbers and zones of lymph node metastasis were important prognostic factors.