Objective:To explore the influencing of 18F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18F-FDG PET/CT) indicators on microvascular invasion (MVI) of hepatocellular carcinoma and to construct a nomogram for predicting MVI. Methods:The data of 125 patients with hepatocellular carcinoma who underwent 18F-FDG PET/CT from January 2012 to March 2024 in the Second Xiangya Hospital of Central South University were retrospectively collected and analyzed. There were 108 males and 17 females, with the age of (51.8±7.6) years. The 125 patients were divided into MVI negative group ( n=51) and MVI positive group ( n=74) according to whether MVI was positive. The two groups were compared in terms of liver cirrhosis, aspartate transaminase (AST), γ-glutamyltransferase, carbohydrate antigen 125, Ki-67, maximum tumor diameter, tumor capsule, combined portal vein tumor thrombus, and 18F-FDG PET/CT indicators maximum standard uptake value (SUVmax), tumor metabolic volume, total glycolysis of lesions, tumor-liver ratio (TLR), and tumor-mediastinum ratio. Multivariate logistic regression was used to analyze the influencing factors of MVI, and a nomogram MVI prediction model was constructed. Results:Cirrhosis, AST >40 U/L, γ-glutamyltransferase >60 U/L, carbohydrate antigen 125>35 U/ml, Ki-67 >20%, maximum tumor diameter, tumor capsule, combined portal vein tumor thrombus, SUVmax >6.30, tumor metabolic volume >45.48, total glycolysis of lesions >253.22, TLR >2.39, tumor-mediastinum ratio >4.27 were associated with MVI in patients with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that combined portal vein tumor thrombus ( OR=40.244, 95% CI: 5.276-306.986), SUVmax >6.30 ( OR=3.920, 95% CI: 1.841-8.346), tumor metabolic volume>45.48 ( OR=6.482, 95% CI: 2.914-14.415), TLR>2.39 ( OR=7.250, 95% CI: 3.247-16.188) were influencing factors of MVI in patients with hepatocellular carcinoma (all P<0.05). A nomogram for predicting MVI was constructed based on the multivariate results. Conclusion:18F-FDG PET/CT index SUVmax, tumor metabolic volume, and TLR are influencing factors for MVI of hepatocellular carcinoma patients. Based on these influencing factors, a nomogram model for predicting MVI can be constructed.

Objective:To explore the influencing of 18F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18F-FDG PET/CT) indicators on microvascular invasion (MVI) of hepatocellular carcinoma and to construct a nomogram for predicting MVI. Methods:The data of 125 patients with hepatocellular carcinoma who underwent 18F-FDG PET/CT from January 2012 to March 2024 in the Second Xiangya Hospital of Central South University were retrospectively collected and analyzed. There were 108 males and 17 females, with the age of (51.8±7.6) years. The 125 patients were divided into MVI negative group ( n=51) and MVI positive group ( n=74) according to whether MVI was positive. The two groups were compared in terms of liver cirrhosis, aspartate transaminase (AST), γ-glutamyltransferase, carbohydrate antigen 125, Ki-67, maximum tumor diameter, tumor capsule, combined portal vein tumor thrombus, and 18F-FDG PET/CT indicators maximum standard uptake value (SUVmax), tumor metabolic volume, total glycolysis of lesions, tumor-liver ratio (TLR), and tumor-mediastinum ratio. Multivariate logistic regression was used to analyze the influencing factors of MVI, and a nomogram MVI prediction model was constructed. Results:Cirrhosis, AST >40 U/L, γ-glutamyltransferase >60 U/L, carbohydrate antigen 125>35 U/ml, Ki-67 >20%, maximum tumor diameter, tumor capsule, combined portal vein tumor thrombus, SUVmax >6.30, tumor metabolic volume >45.48, total glycolysis of lesions >253.22, TLR >2.39, tumor-mediastinum ratio >4.27 were associated with MVI in patients with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that combined portal vein tumor thrombus ( OR=40.244, 95% CI: 5.276-306.986), SUVmax >6.30 ( OR=3.920, 95% CI: 1.841-8.346), tumor metabolic volume>45.48 ( OR=6.482, 95% CI: 2.914-14.415), TLR>2.39 ( OR=7.250, 95% CI: 3.247-16.188) were influencing factors of MVI in patients with hepatocellular carcinoma (all P<0.05). A nomogram for predicting MVI was constructed based on the multivariate results. Conclusion:18F-FDG PET/CT index SUVmax, tumor metabolic volume, and TLR are influencing factors for MVI of hepatocellular carcinoma patients. Based on these influencing factors, a nomogram model for predicting MVI can be constructed.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective:To explore the spatial correlation between gray matter volume (GMV) changes and neurotransmitter receptors/transporters in patients with first-episode schizophrenia (FES) .Methods:Fifty-four FES patients(FES group) and fifty-nine healthy controls (HC group) were selected from June 2014 to May 2020 in the Psychiatry Department of Renmin Hospital of Wuhan University. Structural magnetic resonance imaging (sMRI) was conducted on all subjects. Differences of GMV were compared across 400 cortical regions and 32 subcortical regions. Based on the positron emission tomography(PET) data from Neuromaps, which provides the density of 19 different neurotransmitter receptors and transporters, Spearman correlation analysis was performed to evaluate the spatial correlation between GMV changes and neurotransmitter systems.Results:Compared to the HC group, FES group exhibited significant GMV reductions in widespread cortical (90/400) and subcortical (6/32) regions (all FDR-corrected P<0.05). The effect size of GMV reduction (Cohen’s d) showed significant positive correlations with the density of 5-hydroxytryptamine 1a(5HT1a) ( r=0.400, Pspin=0.002), γ-aminobutyric acid type A receptor(GABA A)( r=0.307, Pspin=0.002), and metabotropic glutamate receptor 5(mGluR5) ( r=0.275, Pspin=0.020) receptors (all FDR-corrected P<0.05). Conclusion:GMV reductions in a wide range of brain regions existed in patients with FES. There are significant correlations between 5HT1a, GABA A and mGluR5 receptors and gray matter reduction in patients with FES. The disorder of these neurotransmitter receptors may be the potential neurobiological mechanism of gray matter structural abnormalities in the early stage of schizophrenia.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Objectives:This study aims to investigate the expression changes of transient receptor potential vanilloid type 1 (TRPV1) channel and inflammatory factors in the peripheral blood of patients with schizophrenia, and to evaluate their potential value for diagnostic prediction.Methods:This cross-sectional study was conducted at Renmin Hospital of Wuhan University from September 2023 to June 2024. A total of 35 patients with schizophrenia (patient group) from the outpatient/inpatient departments and 35 age-and sex-matched healthy individuals (control group) were recruited. Psychiatric symptoms and cognitive function were evaluated using the Positive and Negative Syndrome Scale (PANSS) and the Brief Assessment of Cognition in Schizophrenia (BACS), respectively. The between-group comparisons of the total scores of these two instruments were calculated using independent samples t-tests. Fasting peripheral blood samples were collected from all participants. Plasma and peripheral blood mononuclear cells (PBMCs) were isolated for subsequent analysis. TRPV1 protein expression was quantified by Western blotting, while inflammatory cytokines, including tumor necrosis factor-α (TNF-α), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), and interleukin-10 (IL-10), were measured using enzyme-linked immunosorbent assay (ELISA). The between-group differences in TRPV1 and inflammatory cytokines were analyzed using the analysis of covariance (ANCOVA), controlling for age and sex. Pearson correlation analysis was employed to examine relationships between continuous variables, controlling for years of education, age, and sex. The diagnostic performance of TRPV1 and inflammatory cytokines for schizophrenia was assessed using receiver operating characteristic (ROC) curve analysis. Results:Significant between-group differences were observed in BACS total and subscale scores ( t=2.57-9.72, all P<0.01). Compared with the control group, the patient group exhibits significantly decreased expression of TRPV1, IL-4, and IL-10 ( t=6.78, 2.75, 2.53, all P<0.01), increased expression of TNF-α, IL-2, and IL-6 ( t=4.08, 2.64, 2.63, all P<0.01), and an increased IL-6/IL-10 ratio ( t=3.18, P<0.01). Correlation analyses revealed that in the patient group, the TRPV1 expression level was negatively correlated with levels of TNF-α and IL-6, and positively correlated with levels of IL-4 and IL-10 ( r=-0.589, -0.234, 0.341, 0.293, all P<0.05). In the patient group, the TRPV1 expression level was negatively correlated with the negative symptom score of PANSS ( r=-0.299, P<0.05), and the IL-6 level was positively correlated with the negative symptom score, the general pathology score, and the total score of PANSS ( r=0.387, 0.356, 0.321, all P<0.05). The TRPV1 level was positively correlated with the total score of BACS in both the control group and the patient group ( r=0.144, 0.828, all P<0.01). The IL-6/IL-10 ratio was positively correlated with the total score of PANSS and negatively correlated with the total score of BACS in the patient group ( r=0.623, -0.333, all P<0.05). The area under the ROC curve for the combination of TRPV1 level and IL-6/IL-10 ratio was 0.98 (95% confidence interval=0.96 to 1.00). Conclusions:Patients with schizophrenia exhibit reduced expression levels of TRPV1 along with an imbalanced inflammatory response. The combined assessment of TRPV1 level and IL-6/IL-10 ratio has demonstrated a high predictive and diagnostic value for schizophrenia.

Objective:To investigate the application value of 68Ga-Pentixafor PET/CT targeting CXC subfamily receptor 4 (CXCR4) in the subtyping and precise localization of primary aldosteronism (PA). Methods:Thirty-three patients with PA confirmed by clinical examination and undergoing 68Ga-Pentixafor PET/CT and adrenal vein sampling (AVS) in the Second Xiangya Hospital between July 1st 2022 and July 1st 2023 were prospectively enrolled (24 males, 9 females, age (49.6±10.3) years). Patients with a dominant side identified by PET/CT or AVS underwent unilateral adrenalectomy, while those without a dominant side received medical treatment. According to the standard of PA surgical outcome (PASO), patients underwent surgery were divided into unilateral PA (UPA) and bilateral PA (BPA) based on the pathological and follow-up results. Those who received medical treatment were BPA. The diagnostic efficacy of 68Ga-Pentixafor PET/CT for UPA was calculated. The ROC curve was constructed to analyze the accuracy and optimal threshold of SUV max, the ratio of lesion SUV max to contralateral adrenal tissue SUV mean (LCR), and the ratio of lesion SUV max to liver SUV mean (LLR) in the diagnosis of PA subtype. The correlation between the quantitative parameters and the clinical features and lesion width of the patients was evaluated by Spearman rank correlation analysis. The differences of LCR and LLR between different efficacy groups were compared by the independent-sample t test. Results:A total of 20 patients underwent unilateral adrenalectomy. Nineteen patients were finally diagnosed with UPA and 14 with BPA. The agreement rate of PET/CT and AVS was 81.8%(27/33), and both methods independently detected UPA that was negative in the other examination. The sensitivity, specificity, and accuracy of 68Ga-Pentixafor PET/CT visual diagnosis of UPA were 18/19, 14/14, and 97.0%(32/33), respectively. ROC curve showed that the AUC of LLR for subtype diagnosis was 0.944, with the optimal threshold of 3.1. SUV max, LCR, and LLR were positively correlated with aldosterone concentration ( rs values: 0.35, 0.47, and 0.36, all P<0.05) and lesion width ( rs values: 0.43, 0.49, and 0.58, all P<0.05). The LCR (3.9±2.2 vs 1.6±0.3; t=2.00, P=0.041) and LLR( 8.7±4.1 vs 4.2±1.3; t=2.06, P=0.045) of the dominant side lesions in patients who achieved complete biochemical and clinical cure were higher than those in patients with partial improvement. Conclusions:68Ga-Pentixafor PET/CT imaging can be used in the diagnosis and precise localization of PA subtype. It also can detect patients with PA which can be surgically cured but not detected by AVS, and the quantitative analysis may be valuable for prognosis prediction.

Objective:To explore the spatial correlation between gray matter volume (GMV) changes and neurotransmitter receptors/transporters in patients with first-episode schizophrenia (FES) .Methods:Fifty-four FES patients(FES group) and fifty-nine healthy controls (HC group) were selected from June 2014 to May 2020 in the Psychiatry Department of Renmin Hospital of Wuhan University. Structural magnetic resonance imaging (sMRI) was conducted on all subjects. Differences of GMV were compared across 400 cortical regions and 32 subcortical regions. Based on the positron emission tomography(PET) data from Neuromaps, which provides the density of 19 different neurotransmitter receptors and transporters, Spearman correlation analysis was performed to evaluate the spatial correlation between GMV changes and neurotransmitter systems.Results:Compared to the HC group, FES group exhibited significant GMV reductions in widespread cortical (90/400) and subcortical (6/32) regions (all FDR-corrected P<0.05). The effect size of GMV reduction (Cohen’s d) showed significant positive correlations with the density of 5-hydroxytryptamine 1a(5HT1a) ( r=0.400, Pspin=0.002), γ-aminobutyric acid type A receptor(GABA A)( r=0.307, Pspin=0.002), and metabotropic glutamate receptor 5(mGluR5) ( r=0.275, Pspin=0.020) receptors (all FDR-corrected P<0.05). Conclusion:GMV reductions in a wide range of brain regions existed in patients with FES. There are significant correlations between 5HT1a, GABA A and mGluR5 receptors and gray matter reduction in patients with FES. The disorder of these neurotransmitter receptors may be the potential neurobiological mechanism of gray matter structural abnormalities in the early stage of schizophrenia.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.