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 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.

The incidence rate of suspected adverse events following immunization (AEFI) after single administration of pentavalent recombinant rotavirus attenuated live vaccine (RV5) in Chaoyang District, Beijing City from 2019 to 2021 was 362.3 per 100 000 doses. The incidence rate of AEFI after simultaneous administration with oral polio vaccine (OPV), inactivated polio vaccine (IPV), hepatitis B vaccine (HBV), Haemophilus influenzae type b (Hib), and pneumococcal conjugate vaccine 13-valent (PCV13) was 239.3 per 100 000, 643.4 per 100 000, 346.8 per 100 000, 438.1 per 100 000, and 434.0 per 100 000, respectively. The specific incidence rates for common AEFI symptoms such as fever, local allergic rash, irritability, and vomiting under different vaccination regimens were as follows: RV5 alone (fever: 88.3 per 100 000, rash: 9.1 per 100 000, irritability: 100.5 per 100 000, vomiting: 83.3 per 100 000), RV5 and IPV simultaneous administration (fever: 239.4 per 100 000, rash: 104.7 per 100 000, irritability: 134.7 per 100 000, vomiting: 89.8 per 100 000), RV5 and OPV simultaneous administration (fever: 119.6 per 100 000, rash: 32.6 per 100 000, irritability: 32.6 per 100 000, vomiting: 32.6 per 100 000), RV5 and HBV simultaneous administration (fever: 111.0 per 100 000, rash: 69.4 per 100 000, irritability: 83.2 per 100 000, vomiting: 41.6 per 100 000), RV5 and Hib simultaneous administration (fever: 159.3 per 100 000, rash: 238.9 per 100 000, irritability: 0 per 100 000, vomiting: 39.8 per 100 000), and RV5 and PCV13 simultaneous administration (fever: 142.8 per 100 000, rash: 98.0 per 100 000, irritability: 126.0 per 100 000, vomiting: 25.2 per 100 000).

Objective: To investigate the influencing factors for delay in healthcare-seeking, definitive diagnosis and identification in patients with pulmonary tuberculosis (PTB) in Minhang District, Shanghai Municipality, so as to provide the basis for effectively reducing delay in PTB patients. Methods: Data of PTB patients in Minhang District from 2017 to 2022 were collected from the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were analyzed, and factors affecting delay in healthcare-seeking, definitive diagnosis and identification were identified using multivariable logistic regression models. Results: A total of 4 214 PTB patients were reported in Minhang District from 2017 to 2022, including 2 802 males and 1 412 females, with a male-to-female ratio of 1.98∶1. The majority of patients were aged 25 to <45 years (1 664 cases, 39.49%). The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were 36.81%, 30.21% and 38.09%, respectively. Delay in healthcare-seeking was associated with the year (2018, OR=0.708; 2019, OR=0.549; 2020, OR=0.670; 2021, OR=0.682), gender (female, OR=1.199), occupation (worker, OR=1.379; housekeeping service/housework/unemployed, OR=1.481), case identification route (symptom-based consultation, OR=11.159), and level of the first-diagnosed hospital (city-level, OR=1.528). Delay in definitive diagnosis was associated with age (45 to <65 years, OR=1.476), occupation (commercial service, OR=0.687; housekeeping service/housework/unemployed, OR=0.672), household registration (non-local, OR=0.820), case identification route (symptom-based consultation, OR=0.616), pathogen test result (negative/not tested, OR=1.903), and the level of the first-diagnosed hospital (city-level, OR=0.311). Delay in identification was associated with the year (2018, OR=0.785; 2019, OR=0.647; 2020, OR=0.790; 2021, OR=0.710), occupation (commercial service, OR=0.687), household registration (non-local, OR=0.848) and level of the first-diagnosed hospital (city-level, OR=0.560) Conclusions Year, gender, occupation, case identification route and level of the first-diagnosed hospital are influencing factors for delay in healthcare-seeking in PTB patients. Age, occupation, household registration, case identification route, pathogen test result and level of the first-diagnosed hospital are influencing factors for delay in definitive diagnosis. Year, occupation, household registration and level of the first-diagnosed hospital are influencing factors for delay in identification.

The incidence rate of suspected adverse events following immunization (AEFI) after single administration of pentavalent recombinant rotavirus attenuated live vaccine (RV5) in Chaoyang District, Beijing City from 2019 to 2021 was 362.3 per 100 000 doses. The incidence rate of AEFI after simultaneous administration with oral polio vaccine (OPV), inactivated polio vaccine (IPV), hepatitis B vaccine (HBV), Haemophilus influenzae type b (Hib), and pneumococcal conjugate vaccine 13-valent (PCV13) was 239.3 per 100 000, 643.4 per 100 000, 346.8 per 100 000, 438.1 per 100 000, and 434.0 per 100 000, respectively. The specific incidence rates for common AEFI symptoms such as fever, local allergic rash, irritability, and vomiting under different vaccination regimens were as follows: RV5 alone (fever: 88.3 per 100 000, rash: 9.1 per 100 000, irritability: 100.5 per 100 000, vomiting: 83.3 per 100 000), RV5 and IPV simultaneous administration (fever: 239.4 per 100 000, rash: 104.7 per 100 000, irritability: 134.7 per 100 000, vomiting: 89.8 per 100 000), RV5 and OPV simultaneous administration (fever: 119.6 per 100 000, rash: 32.6 per 100 000, irritability: 32.6 per 100 000, vomiting: 32.6 per 100 000), RV5 and HBV simultaneous administration (fever: 111.0 per 100 000, rash: 69.4 per 100 000, irritability: 83.2 per 100 000, vomiting: 41.6 per 100 000), RV5 and Hib simultaneous administration (fever: 159.3 per 100 000, rash: 238.9 per 100 000, irritability: 0 per 100 000, vomiting: 39.8 per 100 000), and RV5 and PCV13 simultaneous administration (fever: 142.8 per 100 000, rash: 98.0 per 100 000, irritability: 126.0 per 100 000, vomiting: 25.2 per 100 000).

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 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 discuss the relationship between 18F-FDG PET/CT metabolic parameters and clinical pathological indicators and prognosis in cutaneous malignant melanoma (CMM). Methods:A total of 100 CMM patients (62 males, 38 females, age (56.5±2.5) years) who underwent 18F-FDG PET/CT scans at the Second Xiangya Hospital of Central South University from August 2013 to November 2022 were retrospectively enrolled. Clinical pathological indicators (such as primary site, TNM staging, sentinel lymph node (SLN) status) and metabolic parameters (SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG), whole-body MTV (wb-MTV), and whole-body TLG (wb-TLG)) were collected. ROC curve analyses were used to determine the PET parameters thresholds for progression-free survival (PFS) and melanoma-specific survival (MSS). Kaplan-Meier survival analysis, univariate and multivariate Cox proportional hazards regression models were used to analyze the prognosis of patients′ PFS and MSS, and a nomogram survival prediction model was constructed. Results:Results of ROC curve analyses showed that the thresholds of SUV max of primary tumor (p-SUV max), MTV of primary tumor (p-MTV), TLG of primary tumor (p-TLG), wb-MTV and wb-TLG for predicting PFS and MSS were 7.13, 2.24 cm 3, 6.98 g, 2.57 cm 3, 8.04 g and 9.09, 2.34 cm 3, 7.44 g, 2.24 cm 3, 9.17 g, respectively. Results of univariate analysis indicated that several clinical pathological indicators and metabolic parameters were prognostic risk factors for PFS and MSS. Results of multivariate analysis indicated that metastases of SLN (hazard ratio( HR)=2.54, 95% CI: 1.09-5.90; P=0.030) and wb-TLG>8.04 g( HR=2.58, 95% CI: 1.17-5.72; P=0.019) were independent prognostic risk factors for PFS, while metastases of SLN ( HR=4.53, 95% CI: 1.54-13.35; P=0.006) and wb-TLG>9.17 g ( HR=2.48, 95% CI: 1.26-4.89; P=0.009) were independent risk prognostic factors for MSS. A nomogram survival prediction model based on PET metabolic parameter (wb-TLG) and clinical pathological indicator (SLN status) can effectively predict the prognosis of CMM patients. Conclusions:Clinical pathological parameters and PET parameters are associated with the prognosis of CMM patients. SLN status is critical for prognosis.

Objective:To investigate the efficacy of 99Tc m-pyrophosphate (PYP) SPECT imaging for the differential diagnosis of transthyretin-related cardiac amyloidosis (ATTR-CA) and hypertrophic cardiomyopathy (HCM). Methods:Data of patients who were definitively diagnosed with ATTR-CA (35 patients (28 males, 7 females); age 62.5(58.6, 64.3) years) or HCM (14 patients (13 males, 1 female); age 60.5(57.3, 68.7) years) by extracardiac biopsy and echocardiography in the Second Xiangya Hospital of Central South University between June 2020 and March 2023 were retrospectively analyzed. All patients underwent planar and SPECT imaging 1 h after injection of 370-720 MBq 99Tc m-PYP. Visual scoring was performed (0-1 was negative, 2-3 was positive), and heart-to-contralateral lung uptake ratio (H/CL) was calculated based on planar images. The χ2 test was used to compare the difference in visual scores between ATTR-CA and HCM groups, and the diagnostic efficacy of the visual score was calculated. The H/CL differences between ATTR and HCM groups were compared with Mann-Whitney U test, and the ROC curve was used to analyze the efficacy of H/CL for the differential diagnosis of ATTR-CA and HCM. Results:There were 34 patients with visual scores≥2 and 1 patient with visual score<2 in the ATTR-CA group, 6 patients with visual scores =2 and 8 patients with visual scores <2 in HCM group, and there were significant differences between the 2 groups ( χ2=16.20, P<0.001). The diagnostic sensitivity of the visual score was 97.1%(34/35), and the specificity was 8/14. The H/CL in the ATTR-CA group was significantly higher than that in the HCM group (2.08(1.97, 2.20) vs 1.26 (1.17, 1.35), z=-5.09, P<0.001). The ROC curve analysis suggested that the optimal cut-off value was 1.45 (AUC: 0.980, 95% CI: 0.946-1.000; P<0.001); the sensitivity of H/CL differential diagnosis between HCM and ATTR-CA was 97.1%(34/35), and the specificity was 14/14. Conclusion:99Tc m-PYP SPECT imaging is useful in differentiation of ATTR-CA and HCM, and the optimal cut-off value of H/CL for differential diagnosis of these 2 diseases is 1.45.

Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.