Objective:To investigate the clinicopathological features, immunophenotype, diagnosis and differential diagnosis of SRF-rearranged cellular perivascular myoid tumor.Methods:Two cases of SRF-rearranged cellular perivascular myoid tumor diagnosed in the Department of Pathology, Fudan University Shanghai Cancer Center from October 2021 to March 2022 were collected. Immunohistochemical staining, fluorescence in-situ hybridization (FISH) and next-generation sequencing (NGS) were performed, and the literature was reviewed.Results:Case 1, a 3-month-old boy presented with a painless tumor of the scalp, measuring about 2 cm in diameter. Case 2, a 3-year-old girl complained with a painless tumor of the knee, measuring approximately 1.5 cm in diameter. Microscopically, the tumor had a clear boundary and showed multinodular growth. The tumor was mainly composed of spindle cells arranged in long intersecting fascicles associated with thin, slit-like or branching ectatic vessels, focally forming hemangiopericytoma-like appearance. The tumor cells were abundant, but there was no obvious atypia. Mitotic figures (3-4/10 HPF) were noted. H-caldesmon and SMA were positive in both cases. Case 1 showed diffuse and strong positivity for Desmin, and focally for CKpan. Ki-67 proliferation index was 20% and 30%, respectively. FISH displayed NCOA2 gene translocation in case 1 and the RELA gene translocation in case 2. NGS detected the SRF-NCOA2 gene fusion in case 1 and the SRF-RELA gene fusion in case 2. Both patients underwent local excisions. During the follow-up of 5-14 months, case 1 had no local recurrence, while case 2 developed local recurrence 1 year post operatively.Conclusions:SRF-rearranged cellular perivascular myoid tumor is a novel variant of perivascular cell tumor, which tends to occur in children and adolescents. The tumor forms a broad morphologic spectrum ranging from a pericytic pattern to a myoid pattern, and include hybrid tumors with a mixture of pericytic and myoid patterns. Due to its diffuse hypercellularity and increased mitotic figures and smooth muscle-like immunophenotype, the tumor is easy to be misdiagnosed as myogenic sarcomas. The tumor usually pursues a benign clinical course and rare cases may locally recur.

[Objective]To explore if the enhanced recovery after surgery (ERAS) protocol for pregnant women with gestational diabetes mellitus (GDM) who are undergoing elective cesarean delivery could cause perioperative glycemic abnormalities and heighten the risk of neonatal hypoglycemia.[Methods]A retrospective analysis was conducted on a cohort of pregnant women with singleton pregnancies who underwent elective cesarean sections and received ERAS between May 1,2022,and October 31,2023,at the Third Affiliated Hospital of Sun Yat-sen University. A total of 150 patients were included in this study,comprising the GDM group (n=75) and the non-GDM group (n=75). The study included pregnant women with good glycemic control (GDM) and maternal age (18-30 years;30-35 years;35-40 years;>40 years),BMI (<18.5 kg/m2;18.5-24.9 kg/m2;25-30 kg/m2;>30 kg/m2),and gestational age (within 7 days). We used these criteria to match 1∶1 non-GDM women as the control group. After administering preoperative oral carbohydrates,we observed the trends of maternal glycemic changes,including hyperglycemia and hypoglycemia,at any time of the day. We also evaluated the incidence of hypoglycemic low Apgar scores in newborns,abnormal pH values in blood gases,and the rate of transfer to the pediatric unit immediately after delivery.[Results]No significant difference was observed in fasting blood glucose levels on the day of surgery between the two groups of pregnant women[(4.4±0.5) mmol/L vs. (4.3±0.5) mmol/L,t=1.395,P=0.165]. The blood glucose peak was reached 30 minutes after consuming 300 mL (42.6 g of low-dose carbohydrate) of a light drink[(7.2±0.9) mmol/L vs. (6.4±0.8) mmol/L,t=5.773,P<0.001],with a subsequent decline in blood glucose levels. At the 120-minute mark,blood glucose had returned to the pre-oral carbohydrate level. The blood glucose levels in GDM groups was significantly higher than those in the non-GDM group (P<0.005). Although the incidence of hyperglycemia was significantly higher in the GDM group than in the non-GDM group at the 30-minute peak blood glucose level after oral carbohydrate intake,and the difference was statistically significant (17.3％ vs. 1.3％,x2=11.354,P<0.001),severe hyperglycemia (≥10 mmol/L) did not occur. The incidence of hypoglycemia was not significantly higher in neonates in the GDM group than in the non-GDM group (22.7％ vs. 28％,x2=0.564,P=0.453). The incidence of neonatal hypoglycemia in the GDM group was not significantly elevated in comparison to the non-GDM group after adjusting for age and BMI (Model 1),primiparity and gestational week of delivery (Model 2),hypertensive disorders of pregnancy (Model 3),cesarean section indications,time of cesarean section,and intraoperative hemorrhage (Model 4),and neonatal weight (Model 5).[Conclusion]In GDM patients with excellent glycemic control,an ERAS regimen with a low oral dose of carbohydrates prior to elective cesarean section does not increase the risk of preoperative serious hyperglycemia in mothers,nor does it increase the incidence of neonatal hypoglycemia.

Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the efficacy of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects who were previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extended or switched TMF treatment for 48 weeks. Efficacy was evaluated based on virological, serological, biological parameters, and fibrosis staging. Statistical analysis was performed using the McNemar test, t-test, or Log-Rank test according to the data. Results:593 subjects from the initial TMF group and 287 subjects from the TDF group were included at week 144, with the proportions of HBV DNA<20 IU/ml at week 144 being 86.2% and 83.3%, respectively, and 78.1% and 73.8% in patients with baseline HBV DNA levels ≥8 log10 IU/ml. Resistance to tenofovir was not detected in both groups. For HBeAg loss and seroconversion rates, both groups showed a further increase from week 96 to 144 and the 3-year cumulative rates of HBeAg loss were about 35% in each group. However, HBsAg levels were less affected during 96 to 144 weeks. For patients switched from TDF to TMF, a substantial further increase in the alanine aminotransferase (ALT) normalization rate was observed (11.4%), along with improved FIB-4 scores.Conclusion:After 144 weeks of TMF treatment, CHB patients achieved high rates of virological, serological, and biochemical responses, as well as improved liver fibrosis outcomes. Also, switching to TMF resulted in significant benefits in ALT normalization rates (NCT03903796).

Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the safety profile of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects that previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extending or switching TMF treatment for 48 weeks. Safety profiles of kidney, bone, metabolism, body weight, and others were evaluated.Results:666 subjects from the initial TMF group and 336 subjects from TDF group with at least one dose of assigned treatment were included at week 144. The overall safety profile was favorable in each group and generally similar between extended or switched TMF treatments from week 96 to 144. In subjects switching from TDF to TMF, the non-indexed estimated glomerular filtration rate (by non-indexed CKD-EPI formula) and creatinine clearance (by Cockcroft-Gault formula) were both increased, which were (2.31±8.33) ml/min and (4.24±13.94) ml/min, respectively. These changes were also higher than those in subjects with extending TMF treatment [(0.91±8.06) ml/min and (1.30±13.94) ml/min]. Meanwhile, switching to TMF also led to an increase of the bone mineral density (BMD) by 0.75% in hip and 1.41% in spine. On the other side, a slight change in TC/HDL ratio by 0.16 (IQR: 0.00, 0.43) and an increase in body mass index (BMI) by (0.54±0.98) kg/m 2 were oberved with patients switched to TMF, which were significantly higher than that in TMF group. Conclusion:CHB patients receiving 144 weeks of TMF treatment showed favorable safety profile. After switching to TMF, the bone and renal safety was significantly improved in TDF group, though experienceing change in metabolic parameters and weight gain (NCT03903796).

Objective:To investigate the influence of curative-intent resection with textbook outcomes of liver surgery (TOLS) on long-term prognosis of gallbladder carcinoma (GBC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 824 patients with GBC in the national multicenter database of Biliary Surgery Group of Elite Group of Chinese Journal of Digestive Surgery, who were admitted to 15 medical centers from January 2014 to January 2021, were collected. There were 285 males and 539 females, aged (62±11)years. According to the evalua-tion criteria of TOLS, patients were divided into those who achieved TOLS and those who did not achieve TOLS. Measurement data with normal distribution were represented as Mean± SD, and com-parison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data were conduc-ted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve, and the Log-rank test was used for survival analysis. The COX stepwise regression model with backward Wald method was used for univariate and multivariate analyses. Results:(1) Achievement of TOLS. Of the 824 patients undergoing curative-intent resection for GBC, there were 510 cases achieving TOLS and 314 cases not achieving TOLS. (2) Follow-up. Of the 824 patients undergoing curative-intent resection for GBC, after excluding 112 deaths within 90 days after discharge, 712 cases were included for the survival analysis. The median follow-up time, median overall survival time and 5-year overall survival rate of the 510 patients achieving TOLS were 22.1(11.4,30.1)months, 47.6(30.6,64.6)months and 47.5%. The median follow-up time, median overall survival time and 5-year overall survival rate of the 202 patients not achieving TOLS were 14.0(6.8,25.5)months, 24.3(20.0,28.6)months and 21.0%. There was a significant difference in overall survival between patients achieving TOLS and patients not achieving TOLS ( χ2=58.491, P<0.05). (3) Analysis of factors influencing prognosis of patients. Results of multivariate analysis showed that TOLS, carcinoembryonic antigen (CEA), CA19-9, poorly differentiation of tumor, T2 stage of eighth edition of American Joint Committee on Cancer (AJCC) staging, T3 and T4 stage of eighth edition of AJCC staging, N1 stage of the eighth edition of AJCC staging, N2 stage of the eighth edition of AJCC staging, adjuvant therapy were independent factors influencing overall survival time of patients undergoing curative-intent resection for GBC ( hazard ratio=0.452, 1.479, 1.373, 1.612, 1.455, 1.481, 1.835, 1.978, 0.538, 95% c onfidence interval as 0.352-0.581, 1.141-1.964, 1.052-1.791, 1.259-2.063, 1.102-1.920, 1.022-2.147, 1.380-2.441, 1.342-2.915, 0.382-0.758, P<0.05). Conclusion:Patients under-going curative-intent resection for GBC with TOLS can achieve better long-term prognosis.

Objective To investigate the efficacy of therapeutic hypothermia on mild neonatal hypoxic-ischemic encephalopathy(HIE).Methods A prospective study was performed on 153 neonates with mild HIE who were born from September 2019 to September 2023.These neonates were randomly divided into two groups:therapeutic hypothermia(n=77)and non-therapeutic hypothermia group(n=76).The short-term clinical efficacy of the two groups were compared.Barkovich scoring system was used to analyze the severity of brain injury shown on magnetic resonance imaging(MRI)between the two groups.Results There were no significant differences in gestational age,gender,birth weight,mode of birth,and Apgar score between the therapeutic hypothermia and non-therapeutic hypothermia groups(P>0.05).There were no significant differences in the incidence rates of sepsis,arrhythmia,persistent pulmonary hypertension and pulmonary hemorrhage and the duration of mechanical ventilation within the first 72 hours after birth between the two groups.The therapeutic hypothermia group had longer prothrombin time within the first 72 hours after birth and a longer hospital stay(P<0.05).Compared with the non-therapeutic hypothermia group,the therapeutic hypothermia group had lower incidence rates of MRI abnormalities(30%vs 57%),moderate to severe brain injury on MRI(5%vs 28%),and watershed injury(27%vs 51%)(P<0.05),as well as lower medium watershed injury score(0 vs 1)(P<0.05).Conclusions Therapeutic hypothermia can reduce the incidence rates of MRI abnormalities and watershed injury,without obvious adverse effects,in neonates with mild HIE,suggesting that therapeutic hypothermia may be beneficial in neuroprotection in these neonates.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.