Objective To construct a radiomics model to improve the discriminatory ability of 18 F-PSMA-1007 PET/CT for focal prostate cancer.Methods We retrospectively collected data from 74 patients diagnosed with prostate cancer by biopsy at The First Affiliated Hospital of Xi'an Jiaotong University between July 2020 and April 2024.These patients had focal radionuclide accumulation observed on 18F-PSMA-1007 PET/CT,with the median age of 71 years.Among them,42 patients had a Gleason score＜8 and 32 patients had a Gleason score ≥8.An external validation set was randomly selected based on the timing of examination,while the remaining patients were randomly divided into training and test sets at a 7∶3 ratio.Region of interest(ROI)were semi-automatically drawn on registered images,manually adjusted,and symmetrically shifted to contralateral non-tumor tissue.We made variance and correlation analyses to choose features,and built models with Logistic regression and compared the results with those of visual evaluation.Receiver operating characteristics(ROC)curves were drawn to compare model performance,and subgroup analysis was performed to identify optimal features for distinguishing tumor tissue,based on Gleason score,serum total prostate specific antigen(tPSA)levels,and lesion location.Results A total of eight features were selected.The area under the curve(AUC)for visual evaluation,testing set,and external validation set were 0.858,0.933,and 0.891,respectively.The sensitivity was 0.757,0.800 and 0.917;the specificity was 0.960,0.800 and 0.792,respectively.Subgroup analysis showed that the radiomic features 10percentile and skewness had a high value in tumor differentiation.In tumor tissues,the 10percentile values were higher than in non-tumor tissues across all groups(P-values were 0.012,0.002,＜0.001,＜0.001,＜0.001,and＜0.001).When tPSA≤10 ng/mL and Gleason score ≥8,there was no statistically significant difference in skewness between tumor and non-tumor tissues(P=0.08).When tPSA ≥20 ng/mL,the skewness of non-tumor tissue was slightly higher than that of tumor tissue,but the difference was not statistically significant(P-values were 0.285 and 0.791).When the tumor was located in the posterior part of the prostate(left posterior and right posterior),the skewness was significantly higher in tumor tissue than in non-tumor tissue(P-values＜0.001 for both).Conclusion The radiomics model had better sensitivity and accuracy than visual evaluation in distinguishing focal prostate cancer tumors from non-tumor tissues,but visual evaluation had higher specificity.Skewness and 10percentile had a high value in differential diagnosis.

Objective To investigate the relationship between pre-treatment collateral circulation and long-term clinical outcomes in patients with acute vertebrobasilar artery occlusion(VBAO)undergoing endovascular treatment(EVT).Methods A retrospective analysis was conducted on 129 VBAO patients who underwent EVT.Patients were categorized into short-term(90 d)and long-term(1 year)outcome groups based on follow-up duration.Clinical data were collected,and the posterior circulation collateral score(PC-CS)based on magnetic resonance angiography(MRA)was evaluated.Inter-rater reliability of the MRA PC-CS was evaluated using Cohen's Kappa coefficient.The predictive value of MRA PC-CS for outcomes was analyzed using receiver operating characteristic(ROC)curves.Multivariate logistic regression analysis was employed to identify independent predictors of long-term outcomes.Results A total of 109 patients were included in the long-term follow-up,with 78 survivors and 31 deaths.The MRA PC-CS demonstrated high diagnostic efficacy for predicting long-term outcomes,with an area under the curve(AUC)of 0.85[95%confidence interval(CI)0.78-0.92,P＜0.000 1],with an optimal cutoff value of 5 points.Multivariate logistic regression analysis revealed that age[odds ratio(OR)1.07,95%CI 1.02-1.13,P=0.005],admission National Institutes of Health Stroke Scale(NIHSS)score(OR 1.08,95%CI 1.02-1.14,P=0.01),occipital lobe infarction(OR 3.96,95%CI 1.25-12.56,P=0.02),and MRA PC-CS≤5 points(OR 0.23,95%CI 0.06-0.84,P=0.03)were independent predictors of long-term outcomes.Conclusion The MRA PC-CS can independently predict adverse long-term functional outcomes in VBAO patients.

Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.

Objective:To evaluate the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT in patients with prostate imaging reporting and data system (PI-RADS) 1-3 lesions on multi-parametric MRI (mpMRI) and pathologically confirmed prostate cancer. Methods:Clinical, pathological, and imaging data of 59 patients (age (67.8±7.6) years) with PI-RADS 1-3 lesions on mpMRI in the First Affiliated Hospital of Xi′an Jiaotong University between December 2021 and March 2024 were retrospectively collected. Those patients also underwent 18F-PSMA-1007 PET/CT and prostate biopsy during the same period due to an elevated prostate specific antigen (PSA) level. The diagnostic performances of 18F-PSMA-1007 PET/CT for PI-RADS 1-3 prostate cancer and clinically significant prostate cancer were evaluated by using pathological results as the standard. Mann-Whitney U test was used to compare differences in clinical characteristics and PET parameters between PET-positive and PET-negative groups, and logistic regression analysis was performed to select independent influencing factors for the PET/CT diagnosis of prostate cancer. Results:Of the included 59 patients, 7, 27, and 25 had PI-RADS scores of 1, 2, and 3 respectively. Benign prostate hyperplasia was pathologically confirmed in 8 patients, and prostate cancer was confirmed in 51 patients, of which 37 had clinically significant prostate cancer. The sensitivity of 18F-PSMA-1007 PET/CT in diagnosing prostate cancer was 86.3%(44/51), the specificity was 2/8, the accuracy was 78.0%(46/59), the positive predictive value was 88.0%(44/50), and the negative predictive value was 2/9. For patients with clinically significant prostate cancer, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 91.9%(34/37), 27.3%(6/22), 67.8%(40/59), 68.0%(34/50), and 6/9, respectively. SUV max was significantly higher in the PET-positive group ( n=44) than that in the PET-negative group ( n=7; 12.8(9.1, 23.5) vs 5.1(5.0, 6.2); Z=-4.16, P=0.001). Logistic regression analysis showed that SUV max was an independent influencing factor for the diagnosis of prostate cancer by 18F-PSMA-1007 PET/CT (odds ratio ( OR)=6.01, 95% CI: 1.57-23.00, P=0.009). Conclusions:18F-PSMA-1007 PET/CT has a high sensitivity and positive predictive value in prostate cancer patients with PI-RADS 1-3 on mpMRI. It can be used as a supplementary modality to mpMRI to guide clinical decision for patients with PI-RADS 1-3 and clinically suspected prostate cancer lesions.

Objective The application of 18F-PSMA-1007 PET/CT in the precise diagnosis and treatment of prostate cancer(PCa)is gradually increasing.This study aimed to explore the predictive value of 18F-PSMA-1007 PET/CT for positive surgical margins after radical prostatectomy(RP).Methods A total of 173 PCa patients who were pathologically confirmed and underwent RP in our hospital from July 2020 to August 2023 were retrospectively recruited.All patients underwent 18F-PSMA-1007 PET/CT whole-body imaging before surgery.According to the postoperative pathological results,they were divided into a negative surgical margin group with 83 cases and a positive surgical margin group with 90 cases.The differences in age,SUVmax,SUVmean,preoperative total prostate specific antigen(tPSA),prostate specific antigen density(PSAD),prostate volume,Gleason score,and clinical T staging between the groups were compared,and the risk factors were further analyzed by Logistic regression.Results The preoperative tPSA(Z=-3.252,P=0.001),SUVmax(Z=2.531,P=0.011),and clinical T staging(P=0.018)were all lower in the negative surgical margin group than in the positive surgical margin group.PSAD(OR=3.492,95％CI:1.095-11.133,P=0.035),SUVmax(OR=1.036,95％CI:1.003-1.070,P=0.034),and clinical T staging(OR=3.364,95％CI:1.117-10.133,P=0.045)were independent risk factors for positive surgical margins.Conclusion 18F-PSMA-1007 PET/CT has certain predictive value for positive surgical margins after RP in PCa patients.High PSAD,high SUVmax and high clinical T stage were independent risk factors for predicting positive margin after PR surgery,thus providing some reference for the clinical treatment strategy of PCa patients.

ObjectiveTo investigate the mechanism of Si Junzitang in treating liver injury in rats with spleen Qi deficiency syndrome based on transcriptomics and to experimentally verify its effects. MethodsSixty male SD rats were randomly divided into blank group， model group， low-dose Si Junzitang （6 g·kg^-1·d^-1）， medium-dose Si Junzitang group （12 g·kg^-1·d^-1）， high-dose Si Junzitang group （24 g·kg^-1·d^-1）， and natural recovery group， with 10 rats in each group. A composite multifactorial modeling method （forced swimming + intragastric administration of Xiao Chengqitang + irregular diet） was used to establish a spleen Qi deficiency model. After 30 days of continuous intervention， body weight and 3-hour food intake were measured， and macroscopic symptom scores for spleen Qi deficiency syndrome were evaluated. Serum levels of aspartate aminotransferase （AST） and alanine aminotransferase （ALT） in each group were detected， and hematoxylin and eosin （HE） staining was used to observe histopathological changes in liver tissue. Transcriptome sequencing （RNA-Seq） was used to identify differentially expressed genes （DEGs） among the blank， model， and high-dose Si Junzitang groups. Gene ontology（GO） and Kyoto encyclopedia of genes and genome（KEGG） enrichment analyses were performed on the DEGs. Immunofluorescence （IF） and Western blot were used to detect NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein （ASC）， Caspase-1， and the N-terminal domain of gasdermin D （GSDMD-N）. Immunohistochemistry （IHC） was used to detect the expression of downstream inflammatory cytokines interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and interleukin-18 （IL-18）. ResultsCompared with the blank group， the model group showed significantly reduced body weight and 3-hour food intake， significantly increased macroscopic symptom scores， and elevated serum AST and ALT levels （P<0.01）， with mild inflammatory liver injury observed histologically. Compared with the model group， Si Junzitang at all doses significantly improved these parameters and alleviated liver injury in a dose-dependent manner （P<0.05，P<0.01）. RNA-Seq analysis revealed 1 254 DEGs between the blank and model groups， and 842 DEGs between the model and high-dose Si Junzitang groups. GO and KEGG enrichment analyses indicated that the NOD-like receptor signaling pathway was activated in liver injury associated with spleen Qi deficiency， suggesting that the NLRP3 inflammasome may be a key target. Results from IF， IHC， and Westernblot showed that compared with the blank group， the expression of NLRP3， ASC， Caspase-1， GSDMD-N， and the downstream inflammatory cytokines IL-1β， IL-6， and IL-18 were significantly increased in the model group （P<0.01）， while these levels were markedly decreased in the high-dose Si Junzitang group （P<0.01）. ConclusionSi Junzitang effectively improves mild inflammatory liver injury in rats with spleen Qi deficiency syndrome in a dose-dependent manner. Its mechanism may be associated with inhibition of the NLRP3/ASC/Caspase-1 signaling pathway， downregulation of the pyroptosis executioner protein GSDMD-N， and reduction of pyroptosis-related inflammatory cytokine release.

Objective The application of 18F-PSMA-1007 PET/CT in the precise diagnosis and treatment of prostate cancer(PCa)is gradually increasing.This study aimed to explore the predictive value of 18F-PSMA-1007 PET/CT for positive surgical margins after radical prostatectomy(RP).Methods A total of 173 PCa patients who were pathologically confirmed and underwent RP in our hospital from July 2020 to August 2023 were retrospectively recruited.All patients underwent 18F-PSMA-1007 PET/CT whole-body imaging before surgery.According to the postoperative pathological results,they were divided into a negative surgical margin group with 83 cases and a positive surgical margin group with 90 cases.The differences in age,SUVmax,SUVmean,preoperative total prostate specific antigen(tPSA),prostate specific antigen density(PSAD),prostate volume,Gleason score,and clinical T staging between the groups were compared,and the risk factors were further analyzed by Logistic regression.Results The preoperative tPSA(Z=-3.252,P=0.001),SUVmax(Z=2.531,P=0.011),and clinical T staging(P=0.018)were all lower in the negative surgical margin group than in the positive surgical margin group.PSAD(OR=3.492,95％CI:1.095-11.133,P=0.035),SUVmax(OR=1.036,95％CI:1.003-1.070,P=0.034),and clinical T staging(OR=3.364,95％CI:1.117-10.133,P=0.045)were independent risk factors for positive surgical margins.Conclusion 18F-PSMA-1007 PET/CT has certain predictive value for positive surgical margins after RP in PCa patients.High PSAD,high SUVmax and high clinical T stage were independent risk factors for predicting positive margin after PR surgery,thus providing some reference for the clinical treatment strategy of PCa patients.

Objective To construct a radiomics model to improve the discriminatory ability of 18 F-PSMA-1007 PET/CT for focal prostate cancer.Methods We retrospectively collected data from 74 patients diagnosed with prostate cancer by biopsy at The First Affiliated Hospital of Xi'an Jiaotong University between July 2020 and April 2024.These patients had focal radionuclide accumulation observed on 18F-PSMA-1007 PET/CT,with the median age of 71 years.Among them,42 patients had a Gleason score＜8 and 32 patients had a Gleason score ≥8.An external validation set was randomly selected based on the timing of examination,while the remaining patients were randomly divided into training and test sets at a 7∶3 ratio.Region of interest(ROI)were semi-automatically drawn on registered images,manually adjusted,and symmetrically shifted to contralateral non-tumor tissue.We made variance and correlation analyses to choose features,and built models with Logistic regression and compared the results with those of visual evaluation.Receiver operating characteristics(ROC)curves were drawn to compare model performance,and subgroup analysis was performed to identify optimal features for distinguishing tumor tissue,based on Gleason score,serum total prostate specific antigen(tPSA)levels,and lesion location.Results A total of eight features were selected.The area under the curve(AUC)for visual evaluation,testing set,and external validation set were 0.858,0.933,and 0.891,respectively.The sensitivity was 0.757,0.800 and 0.917;the specificity was 0.960,0.800 and 0.792,respectively.Subgroup analysis showed that the radiomic features 10percentile and skewness had a high value in tumor differentiation.In tumor tissues,the 10percentile values were higher than in non-tumor tissues across all groups(P-values were 0.012,0.002,＜0.001,＜0.001,＜0.001,and＜0.001).When tPSA≤10 ng/mL and Gleason score ≥8,there was no statistically significant difference in skewness between tumor and non-tumor tissues(P=0.08).When tPSA ≥20 ng/mL,the skewness of non-tumor tissue was slightly higher than that of tumor tissue,but the difference was not statistically significant(P-values were 0.285 and 0.791).When the tumor was located in the posterior part of the prostate(left posterior and right posterior),the skewness was significantly higher in tumor tissue than in non-tumor tissue(P-values＜0.001 for both).Conclusion The radiomics model had better sensitivity and accuracy than visual evaluation in distinguishing focal prostate cancer tumors from non-tumor tissues,but visual evaluation had higher specificity.Skewness and 10percentile had a high value in differential diagnosis.

Objective To investigate the relationship between pre-treatment collateral circulation and long-term clinical outcomes in patients with acute vertebrobasilar artery occlusion(VBAO)undergoing endovascular treatment(EVT).Methods A retrospective analysis was conducted on 129 VBAO patients who underwent EVT.Patients were categorized into short-term(90 d)and long-term(1 year)outcome groups based on follow-up duration.Clinical data were collected,and the posterior circulation collateral score(PC-CS)based on magnetic resonance angiography(MRA)was evaluated.Inter-rater reliability of the MRA PC-CS was evaluated using Cohen's Kappa coefficient.The predictive value of MRA PC-CS for outcomes was analyzed using receiver operating characteristic(ROC)curves.Multivariate logistic regression analysis was employed to identify independent predictors of long-term outcomes.Results A total of 109 patients were included in the long-term follow-up,with 78 survivors and 31 deaths.The MRA PC-CS demonstrated high diagnostic efficacy for predicting long-term outcomes,with an area under the curve(AUC)of 0.85[95%confidence interval(CI)0.78-0.92,P＜0.000 1],with an optimal cutoff value of 5 points.Multivariate logistic regression analysis revealed that age[odds ratio(OR)1.07,95%CI 1.02-1.13,P=0.005],admission National Institutes of Health Stroke Scale(NIHSS)score(OR 1.08,95%CI 1.02-1.14,P=0.01),occipital lobe infarction(OR 3.96,95%CI 1.25-12.56,P=0.02),and MRA PC-CS≤5 points(OR 0.23,95%CI 0.06-0.84,P=0.03)were independent predictors of long-term outcomes.Conclusion The MRA PC-CS can independently predict adverse long-term functional outcomes in VBAO patients.

Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.