Objective To explore the correlation between visceral fat area(VFA)and triglyceride-glucose(TyG)index in people with normal body mass index(BMI)based on quantitative CT(QCT).Methods Totally 1 358 healthy adults with normal BMI who underwent QCT body composition measurement were retrospectively enrolled and divided into normal visceral fat group(normal group,VFA＜100 cm2,n=509),mild visceral fat accumulation group(mild group,100 cmn2≤VFA＜150 cm2,n=431)and severe visceral fat accumulation group(severe group,VFA≥150 cm2,n=418)according to VFA measured with QCT.Pearson and Spearman correlation analysis were performed to observe correlations of TyG index with general data and body composition in 20-40,41-60,61-90 years old men and women with normal BMI,respectively.Multiple linear regression analysis was performed to screen the independent impact factors of TyG index in normal BMI people.Results Low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),glutamic-pyruvic transaminase(GPT),VFA and subcutaneous fat area(SFA)of men with normal BMI at different age stages were weakly-lowly positively correlated with TyG index(r=0.143-0.459,all P＜0.05),while high-density lipoprotein cholesterol(HDL-C)were weakly-lowly negatively correlated with TyG index(r=-0.410--0.222,all P＜0.05).LDL-C,VFA and SFA of women with normal BMI at different age stages were weakly-lowly positively correlated with TyG index(r=0.206-0.495,all P＜0.05).GPT,TC,VFA and liver fat content(LFC)were all independent risk factors,while HDL-C was independent protective factor for TyG index in people with normal BMI(all P＜0.05).Conclusion VFA was positively correlated with TyG index in people with normal BMI.Measurement of abdominal body composition based on QCT combined with lipid indexes had certain potential for predicting insulin resistance and relative metabolic diseases in abdominal obese people.

Objective To observe value of real-time functional MRI neurofeedback(rtfMRI-NF)for modulating brain activity changes in obese adults.Methods Twenty-two obese adults were prospectively recruited,3-week rtfMRI-NF training intervention was conducted.Barratt impulsivityness scale version 11(BIS-11),three-factor eating questionnaire(TFEQ)and food rating scales were scored before and after intervention,and whole-brain resting state fMRI(rs-fMRI)data were obtained.Clinical scale scores,rs-fMRI regional homogeneity(ReHo)values and amplitude of low frequency fluctuation(ALFF)values were compared before and after intervention.Then brain regions with differences of ReHo and ALFF values before and after intervention were explored,and correlations of values of rs-fMRI data differences and clinical scale score differences were analyzed.Results BIS-11 score,TFEQ emotional eating(TFEQ-EE)score and food rating scales scores decreased,while TFEQ cognitive restraint(TFEQ-CR)scores increased in obese adults after intervention(all P＜0.05).ReHo values in right inferior frontal gyrus,right anterior cingulate and left precuneus increased,while of left middle temporal gyrus decreased(all corrected P＜0.05).ALFF values of left precuneus increased,whereas of left middle occipital gyrus,right superior occipital gyrus,left calcarine fissure and surrounding cortex and left supramarginal and angular gyrus decreased(all corrected P＜0.05).ReHo difference in right anterior cingulate was negatively correlated with BIS-11 scores difference(r=-0.601,P＜0.05),and ALFF difference in left precuneus was negatively correlated with TFEQ-EE difference(r=-0.478,P＜0.05).Conclusion rtfMRI-NF intervention could correct disorder of cerebral functional areas in obese adults and change high-calorie food preference and poor dietary habits.

Objective:To analyze the clinical efficacy of laparoscopic common bile duct exploration and stone removal via the cystic duct with a flexible ureteroscope.Methods:The clinical data of 96 patients with cholecystolithiasis and choledocholithiasis who were admitted to the Department of Hepatobiliary Surgery, the Third Hospital of Nanchang from September 2021 to November 2024 were retrospectively analyzed. There were 49 male and 47 female patients, aged (59.2±13.9) years. The 96 patients were randomly divided into two groups according to the surgical methods: the flexible ureteroscope group ( n=48) and the choledochotomy group ( n=48), patients who underwent laparoscopic cholecystectomy plus flexible ureteroscope for common bile duct exploration and stone removal via the cystic duct were included in the flexible ureteroscope group; patients who underwent laparoscopic cholecystectomy plus choledocholithotomy and T-tube drainage placement were included in the choledochotomy group. Clinical data including operation time, intraoperative blood loss, postoperative intestinal function recovery time, abdominal drainage tube removal time, postoperative hospital stay and postoperative complications were compared between the two groups. Results:Compared with the choledochotomy group, the operation time [150 (120, 176) min vs. 197 (165, 240) min], intraoperative blood loss [20 (10, 30) ml vs. 30 (20, 50) ml], postoperative intestinal function recovery time [2 (1, 2) d vs. 3 (2, 4) d], abdominal drainage tube removal time [6 (4, 7) d vs. 7 (6, 8) d], and postoperative hospital stay [8 (6, 9) d vs. 16 (13, 17) d] in the flexible ureteroscope group were all reduced, and the differences were statistically significant (all P<0.05). The incidence of postoperative complications in the choledochotomy group was 10.4% (5/48), compared with 2.1% (1/48) in the flexible ureteroscope group. There was no statistically significant difference ( χ2=1.60, P=0.206). Conclusion:Compared with laparoscopic choledocholithotomy plus T-tube drainage, laparoscopic common bile duct exploration and stone removal via the cystic duct with a flexible ureteroscope can shorten the hospital stay of patients with choledocholithiasis, offering a minimally invasive, safe and effective treatment method.

Objective To explore the correlation between visceral fat area(VFA)and triglyceride-glucose(TyG)index in people with normal body mass index(BMI)based on quantitative CT(QCT).Methods Totally 1 358 healthy adults with normal BMI who underwent QCT body composition measurement were retrospectively enrolled and divided into normal visceral fat group(normal group,VFA＜100 cm2,n=509),mild visceral fat accumulation group(mild group,100 cmn2≤VFA＜150 cm2,n=431)and severe visceral fat accumulation group(severe group,VFA≥150 cm2,n=418)according to VFA measured with QCT.Pearson and Spearman correlation analysis were performed to observe correlations of TyG index with general data and body composition in 20-40,41-60,61-90 years old men and women with normal BMI,respectively.Multiple linear regression analysis was performed to screen the independent impact factors of TyG index in normal BMI people.Results Low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),glutamic-pyruvic transaminase(GPT),VFA and subcutaneous fat area(SFA)of men with normal BMI at different age stages were weakly-lowly positively correlated with TyG index(r=0.143-0.459,all P＜0.05),while high-density lipoprotein cholesterol(HDL-C)were weakly-lowly negatively correlated with TyG index(r=-0.410--0.222,all P＜0.05).LDL-C,VFA and SFA of women with normal BMI at different age stages were weakly-lowly positively correlated with TyG index(r=0.206-0.495,all P＜0.05).GPT,TC,VFA and liver fat content(LFC)were all independent risk factors,while HDL-C was independent protective factor for TyG index in people with normal BMI(all P＜0.05).Conclusion VFA was positively correlated with TyG index in people with normal BMI.Measurement of abdominal body composition based on QCT combined with lipid indexes had certain potential for predicting insulin resistance and relative metabolic diseases in abdominal obese people.

Objective To observe value of real-time functional MRI neurofeedback(rtfMRI-NF)for modulating brain activity changes in obese adults.Methods Twenty-two obese adults were prospectively recruited,3-week rtfMRI-NF training intervention was conducted.Barratt impulsivityness scale version 11(BIS-11),three-factor eating questionnaire(TFEQ)and food rating scales were scored before and after intervention,and whole-brain resting state fMRI(rs-fMRI)data were obtained.Clinical scale scores,rs-fMRI regional homogeneity(ReHo)values and amplitude of low frequency fluctuation(ALFF)values were compared before and after intervention.Then brain regions with differences of ReHo and ALFF values before and after intervention were explored,and correlations of values of rs-fMRI data differences and clinical scale score differences were analyzed.Results BIS-11 score,TFEQ emotional eating(TFEQ-EE)score and food rating scales scores decreased,while TFEQ cognitive restraint(TFEQ-CR)scores increased in obese adults after intervention(all P＜0.05).ReHo values in right inferior frontal gyrus,right anterior cingulate and left precuneus increased,while of left middle temporal gyrus decreased(all corrected P＜0.05).ALFF values of left precuneus increased,whereas of left middle occipital gyrus,right superior occipital gyrus,left calcarine fissure and surrounding cortex and left supramarginal and angular gyrus decreased(all corrected P＜0.05).ReHo difference in right anterior cingulate was negatively correlated with BIS-11 scores difference(r=-0.601,P＜0.05),and ALFF difference in left precuneus was negatively correlated with TFEQ-EE difference(r=-0.478,P＜0.05).Conclusion rtfMRI-NF intervention could correct disorder of cerebral functional areas in obese adults and change high-calorie food preference and poor dietary habits.

Objective:To analyze the clinical efficacy of laparoscopic common bile duct exploration and stone removal via the cystic duct with a flexible ureteroscope.Methods:The clinical data of 96 patients with cholecystolithiasis and choledocholithiasis who were admitted to the Department of Hepatobiliary Surgery, the Third Hospital of Nanchang from September 2021 to November 2024 were retrospectively analyzed. There were 49 male and 47 female patients, aged (59.2±13.9) years. The 96 patients were randomly divided into two groups according to the surgical methods: the flexible ureteroscope group ( n=48) and the choledochotomy group ( n=48), patients who underwent laparoscopic cholecystectomy plus flexible ureteroscope for common bile duct exploration and stone removal via the cystic duct were included in the flexible ureteroscope group; patients who underwent laparoscopic cholecystectomy plus choledocholithotomy and T-tube drainage placement were included in the choledochotomy group. Clinical data including operation time, intraoperative blood loss, postoperative intestinal function recovery time, abdominal drainage tube removal time, postoperative hospital stay and postoperative complications were compared between the two groups. Results:Compared with the choledochotomy group, the operation time [150 (120, 176) min vs. 197 (165, 240) min], intraoperative blood loss [20 (10, 30) ml vs. 30 (20, 50) ml], postoperative intestinal function recovery time [2 (1, 2) d vs. 3 (2, 4) d], abdominal drainage tube removal time [6 (4, 7) d vs. 7 (6, 8) d], and postoperative hospital stay [8 (6, 9) d vs. 16 (13, 17) d] in the flexible ureteroscope group were all reduced, and the differences were statistically significant (all P<0.05). The incidence of postoperative complications in the choledochotomy group was 10.4% (5/48), compared with 2.1% (1/48) in the flexible ureteroscope group. There was no statistically significant difference ( χ2=1.60, P=0.206). Conclusion:Compared with laparoscopic choledocholithotomy plus T-tube drainage, laparoscopic common bile duct exploration and stone removal via the cystic duct with a flexible ureteroscope can shorten the hospital stay of patients with choledocholithiasis, offering a minimally invasive, safe and effective treatment method.

Objective:To investigate the accuracy of next-generation sequencing technology(NGS)in detecting the polymorphisms of HLA-DRB1,DQB1,DQA1,DRB3,DRB4,DRB5,DPA1 and DPB1 alleles in randomly-selected unrelated healthy individuals from Shenzhen Han population,investigate the potential reason for HLA-DRB1 allele dropout in routine NGS,and establish an internal quality control system.Methods:NGS-based HLA class Ⅱ genotyping was performed on 1 012 samples using the MiSeqDxTM platform.The suspected missed alleles indicated by the quality control software and HLA-DRB1 homozygotes were confirmed by PCR-SSOP or PCR-SBT methods.Results:A total of 139 alleles were detected,including HLA-DRB1(45),DRB3(7),DRB4(5),DRB5(7),DQA1(17),DQB1(21),DPA1(10)and DPB1(27).HLA-DRB 1*09:01(17.09％),15:01(10.72％);DRB3*02:02(25.99％),03:01(10.18％);DRB4*01:03(36.46％);DRB5*01:01(15.42％);DQA1*01:02(20.01％),03:02(17.19％);DQB1*03:01(19.47％),03:03(17.98％),05:02(11.66％),06:01(10.67％);DPA1*02:02(54.45％),01:03(31.18％)and DPB1*05:01(39.13％),02:01(16.90％)alleles were the most common alleles in Shenzhen Han population(frequencies＞10％).There was no statistical difference between the gene frequencies of HLA-DRB1 and DQB1 loci in our study.The HLA Common and Well-Documented Alleles in China(CWD2.4)(x2=12.68,P＞0.05).94 cases of HLA-DRB1 homozygous samples detected by NGS were retested by PCR-SSOP or SBT method,and one case of allele dropout at HLA-DRB1 locus was found.SBT method confirmed that the allele of DRB1*04:03 was missed.The laboratory internal quality control system was established.Two cases of new alleles were detected and named by WHO Nomenclature Committee for Factors of the HLA System.Conclusion:The HLA genotyping results based on NGS showed a significantly lower ambiguity rate.The HLA class Ⅱ alleles exhibit genetic polymorphism in the Han population of unrelated healthy individuals in Shenzhen.The independent method based on NGS in clinical histocompatibility testing has limitations and requires internal quality control strategies to avoid allele-dropout events.

Objective To explore the correlations of lumbar bone mineral density(BMD)and metabolic syndrome(MS)in adult males.Methods Data of low dose chest CT and quantitative CT of 13 490 adult males were retrospectively analyzed,and lumbar BMD were measured to judge whether MS existed and the degree of MS,and the correlations of lumbar BMD with MS or not and the degree of MS,as well as of lumbar BMD value and the related indicators of MS were assessed.Taken lumbar BMD as the dependent variable,the age,low density lipoprotein cholesterol(LDL-C),blood uric acid(BUA),hemoglobin(Hb)and MS or not were included in multiple linear regression analysis to observe the impact of MS and related indicators on lumbar BMD.Results Among 13 490 adult males,3 900 were found with MS(MS group),while 9 590 were found without MS(non-MS group).Significant difference of lumbar BMD was detected between groups(P=0.001).Lumbar BMD values were negatively correlated with MS(rs=-0.025,P=0.004)and the degree of MS(rs=-0.038,P＜0.001),whereas positively correlated with abdominal obesity,high triglyceride and low HDL-C or not(rs=0.024,0.061,0.036,all P＜0.001)but negatively correlated with hypertension and hyperglycemia or not(rs=-0.135,-0.104,both P＜0.05).After adjustment of age,lumbar BMD of adult males was negatively correlated with MS or not as well as LDL-C(both P＜0.05),but positively correlated with BUA and Hb(both P＜0.001).Conclusion Lumbar BMD was associated with MS in adult males.

Objective To achieve intelligent recognition and segmentation of common craniocerebral inju-ries(hereinafter referred to as"segmentation")by training convolutional neural network DeepLabV3+model based on CT images of blunt craniocerebral injury(BCI),and to explore the value of deep learning in automated diagnosis of BCI in forensic medicine.Methods A total of 5 486 CT images of BCI from living persons were collected as the training set,validation set and test set for model training and performance evaluation.Another 255 CT images of BCI and 156 normal craniocerebral CT images from living persons were collected as the blind test set to evaluate the ability of the model to seg-ment the five types of craniocerebral injuries including scalp hematoma,skull fracture,epidural hema-toma,subdural hematoma,and brain contusion.Another 340 BCI and 120 normal craniocerebral CT images from cadavers were collected as the new blind test set to explore the application value of the model trained by living CT images in the segmentation of BCI in cadavers.The five types CT images of all BCI except the blind test set were manually labeled;then,each dataset was inputted into the model to train the model.The performance of the model was evaluated and optimized based on the loss function and accuracy curves of the training set and validation set,and the generalization ability was evaluated based on the Dice value of the test set.According to the accuracy,precision and F1 value of the blind test set,the segmentation performance of the model for five types of BCI was evaluated.Results After training and optimizing the model,the average Dice values of the final optimal model to scalp hematoma,skull fracture,epidural hematoma,subdural hematoma and brain contusion segmen-tation were 0.766 4,0.812 3,0.938 7,0.782 7 and 0.858 1,respectively,all greater than 0.75,meeting the expected requirements.External validation showed that the F1 values were 93.02%,89.80%,87.80%,92.93%and 86.57%in living CT images,respectively;83.92%,44.90%,76.47%,64.29%and 48.89%in cadaveric CT images,respectively.The above suggested that the model was able to accu-rately segment various types of craniocerebral injury on living CT images,while its segmentation ability was relatively poor on cadaveric CT images,but still able to accurately segment scalp hematoma,epidu-ral hematoma and subdural hematoma.Conclusion Deep learning model trained on CT images can be used for BCI segmentation.However,the direct use of living persons'BCI models for the identifica-tion of cadaveric BCI has some limitations.This study provides a new approach for intelligent segmen-tation of virtual anatomical data for BCI.

Objective: To investigate the risk factors for the development of deep infiltration in early colorectal tumors (ECT) and to construct a prediction model to predict the development of deep infiltration in patients with ECT. Methods: The clinicopathological data of ECT patients who underwent endoscopic treatment or surgical treatment at the Cancer Hospital, Chinese Academy of Medical Sciences from August 2010 to December 2020 were retrospectively analyzed. The independent risk factors were analyzed by multifactorial regression analysis, and the prediction models were constructed and validated by nomogram. Results: Among the 717 ECT patients, 590 patients were divided in the within superficial infiltration 1 (SM1) group (infiltration depth within SM1) and 127 patients in the exceeding SM1 group (infiltration depth more than SM1). There were no statistically significant differences in gender, age, and lesion location between the two groups (P>0.05). The statistically significant differences were observed in tumor morphological staging, preoperative endoscopic assessment performance, vascular tumor emboli and nerve infiltration, and degree of tumor differentiation (P<0.05). Multivariate regression analysis showed that only erosion or rupture (OR=4.028, 95% CI: 1.468, 11.050, P=0.007), localized depression (OR=3.105, 95% CI: 1.584, 6.088, P=0.001), infiltrative JNET staging (OR=5.622, 95% CI: 3.029, 10.434, P<0.001), and infiltrative Pit pattern (OR=2.722, 95% CI: 1.347, 5.702, P=0.006) were independent risk factors for the development of deep submucosal infiltration in ECT. Nomogram was constructed with the included independent risk factors, and the nomogram was well distinguished and calibrated in predicting the occurrence of deep submucosal infiltration in ECT, with a C-index and area under the curve of 0.920 (95% CI: 0.811, 0.929). Conclusion: The nomogram prediction model constructed based on only erosion or rupture, local depression, infiltrative JNET typing, and infiltrative Pit pattern has a good predictive efficacy in the occurrence of deep submucosal infiltration in ECT.
Humans ; Retrospective Studies ; Colorectal Neoplasms/pathology* ; Nomograms ; Neoplasm Staging ; Risk Factors