Objective To discuss the value of clinical radiomic nomogram(CRN)and deep convolutional neural network(DCNN)in distinguishing atypical pulmonary hamartoma(APH)from atypical lung adenocarcinoma(ALA).Methods A total of 307 patients were retrospectively recruited from two institutions.Patients in institu-tion 1 were randomly divided into the training(n=184:APH=97,ALA=87)and internal validation sets(n=79:APH=41,ALA=38)in a ratio of 7∶3,and patients in institution 2 were assigned as the external validation set(n=44:APH=23,ALA=21).A CRN model and a DCNN model were established,respectively,and the performances of two models were compared by delong test and receiver operating characteristic(ROC)curves.A human-machine competition was conducted to evaluate the value of AI in the Lung-RADS classification.Results The areas under the curve(AUCs)of DCNN model were higher than those of CRN model in the training,internal and external validation sets(0.983 vs 0.968,0.973 vs 0.953,and 0.942 vs 0.932,respectively),however,the differences were not statistically significant(p=0.23,0.31 and 0.34,respectively).With a radiologist-AI com-petition experiment,AI tended to downgrade more Lung-RADS categories in APH and affirm more Lung-RADS cat-egories in ALA than radiologists.Conclusion Both DCNN and CRN have higher value in distinguishing APH from ALA,with the former performing better.AI is superior to radiologists in evaluating the Lung-RADS classification of pulmonary nodules.

Objective To construct a radiomics nomogram combining clinical and a radiomics signature for distinguishing type Ⅱpapillary renal cell carcinoma(pRCC)from atypical clear cell renal cell carcinoma(ccRCC).Methods Clinical and CT data of patients with pathologically confirmed type Ⅱ pRCC(62 cases)and atypical ccRCC(56 cases)were analyzed.A random sample was divided into a training set(82 cases)and a test set(36 cases)in a ratio of 7∶3.Clinical factors were screened to construct clinical factor models.A total of 1 595 radiomics features of tumors were extracted from the corticomedullary phase CT images and based on the most effective features to construct a radiomics signature and calculate the radiomics score(Rad-score).A radiomics nomogram was constructed by combining the Rad-score and independent clinical factors.Receiver operating characteristic(ROC)curve was used to assess the clini-cal usefulness of the models.Decision curve analysis(DCA)was used to assess the difference between the models.Results The radiomics signature showed good discrimination in training set area under the curve(AUC)0.894[95％confidence interval(CI)0.834-0.947]and test set AUC 0.879(95％CI 0.774-0.963).The AUC of the clinical factors model in training set and test set were 0.725(95％CI 0.646-0.804)and 0.698(95％CI 0.567-0.819).The AUC of the radiomics nomogram in training set and test set were 0.901(95％CI 0.840-0.953)and 0.901(95％CI 0.809-0.975).DCA demonstrated the radiomics nomogram outmatched the clinical factors model and radiomics signature in the aspects of clinical usefulness.Conclusion Radiomics nomogram based on enhanced CT can provide good prediction of type Ⅱ pRCC and atypical ccRCC preoperatively,improve the diagnostic accuracy and provide guidance for future clinical treatment.

Objective:To investigate the value of nomogram based on radiomics features of CT enterography (CTE) combined with clinical characteristics to predict secondary loss of response (SLOR) after infliximab (IFX) treatment in patients with Crohn′s disease (CD).Methods:This study was a case-control study. Clinical and imaging data of 155 patients with CD diagnosed at the First Affiliated Hospital of Anhui Medical University from March 2015 to July 2022 were retrospectively collected. The patients were divided into a training set ( n=108) and a testing set ( n=47) in the ratio of 7∶3 by stratified sampling method. All patients were treated according to the standardized protocol and were classified as SLOR (43 in the training set and 18 in the testing set) and non-SLOR (65 in the training set and 29 in the testing set) according to treatment outcome. Based on the data from the training group, independent clinical predictors of SLOR after IFX treatment were screened in the clinical data using univariate and multivariate logistic regression analysis to establish a clinical model. Intestinal phase images were selected to be outlined layer by layer along the margin of the lesion to obtain the volume of the region of interest to extract the radiomics features. The radiomics features were screened using univariate analysis and the minimum absolute shrinkage and selection operator to establish the radiomics model. Multivariate logistic regression analysis was used to build a combined clinical-radiomics model based on the screened clinical independent predictors and radiomics characters, then a nomogram was drawn. The predictive efficacy of the 3 models for SLOR after IFX treatment was assessed by receiver operating characteristic curves, and the area under the curve (AUC) was calculated. The decision curve analysis was applied to evaluate the clinical utility of the models. Results:Disease duration ( OR=1.983, 95% CI 1.966-2.000, P=0.046) and intestinal stenosis ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as the independent predictors of SLOR in the clinical data, and a clinical model was established. Totally 9 radiomics features were included in the radiomics model. The AUCs of clinical, radiomics, and combined models for predicting SLOR after IFX treatment in CD patients were 0.691 (95% CI 0.591-0.792), 0.896 (95% CI 0.836-0.955), and 0.910 (95% CI 0.855-0.965) in the training set, and 0.722 (95% CI 0.574-0.871), 0.866 (95% CI 0.764-0.968), and 0.889 (95% CI 0.796-0.982) in the testing set. Decision curve analysis in the testing set showed higher net clinical benefits for both the radiomics model and combined model than the clinical model, and combined model had higher net clinical benefits than the radiomics model over most threshold probability intervals. Conclusions:CTE-based radiomics model can effectively predict SLOR after IFX treatment in patients with CD, and a combined model by incorporating clinical characteristics of disease duration and intestinal stenosis can further improve the predictive efficacy.

Objective:To investigate the stability and feasibility of improved silent MRA technique based on hybrid-arterial spin labeling(ASL) for imaging intracranial arterial stenosis.Methods:From September 2019 to May 2020, totally 35 patients with suspected intracranial vascular stenosis in Department of Neurology of Northern Jiangsu People′s Hospital were enrolled in this study. Silent MRA and improved silent MRA based on hybrid-ASL technique were performed respectively. The acquisition noise (noise measurement and subjective score) of two kinds of MRA examination were evaluated respectively. Two neuroradiologists performed image quality scoring and signal-to-noise ratio (SNR) measurement of intracranial arteries (including internal carotid artery, vertebrobasilar artery, anterior cerebral artery, middle cerebral artery, and posterior cerebral artery) in the two kinds of MRA images using a double-blind, completely randomized method. Independent sample t-test was used to compare the image quality and SNR of two kinds of MRA images in each segment. Two experts assessed the degree of stenosis at the site of confirmed intracranial artery stenosis. Kappa test was used to assess interobserver and intermodel agreement. Results:There was no significant difference in acquisition noise between improved silent MRA and silent MRA ( P>0.05). In all five segments measured, the image quality scores of internal carotid artery [(4.40±0.49)scores], anterior cerebral artery[(4.30±0.33)scores] and middle cerebral artery [(4.46±0.34)scores] in improved silent MRA were higher than those in silent MRA images [(4.02±0.43)scores, (4.02±0.31)scores, (4.02±0.31)scores; t=2.825, 2.877, 1.683, all P<0.05)]. The SNR of internal carotid artery (9.11±1.23) and middle cerebral artery (8.77±1.87) in improved silent MRA images was higher than that in silent MRA images (7.83±1.33, 8.06±2.67, respectively; t=11.154, 3.268, both P<0.05). A total of 24 patients (38 lesions) with intracranial vascular stenosis were diagnosed by CTA. Improved silent MRA (Kappa=0.89, 95%CI 0.82-0.95) and silent MRA (Kappa=0.85, 95%CI 0.77-0.92) were highly consistent among observers in evaluating the degree of cerebrovascular stenosis.The results of improved silent MRA were highly consistent with those of CTA (Kappa=0.92, 95%CI 0.87-0.98), and those of silent MRA were highly consistent with those of CTA (Kappa=0.85, 95%CI 0.77-0.92). Conclusions:The improved silent MRA is feasible to improve the imaging quality and signal uniformity through efficient marking based on keeping the low noise features. In the diagnosis of intracranial stenosis and occlusive disease, the stability of improved silent MRA imaging improves the diagnostic efficiency of stenosis to a certain extent.

Objective: To evaluate the effect of different irradiation methods on the long-term prognosis of patients with clinical T_2-3N₀M₀ esophageal squamous cell carcinoma, aiming to select the optimal treatment for these patients. Methods: A total of 268 eligible patients admitted to our hospital from January 2007 to December 2012 were enrolled in this study. All patients were divided into the involved-field irradiation (IFI) and elective node irradiation (ENI) groups. The composition ratio, prognostic factors and adverse events were analyzed between two groups. Results: The median overall survival (OS) time was 35.5 months (95%CI : 30.12-40.88) and the median disease-free survival (DFS) time was 23.5 months (95%CI: 19.00-28.00). According to the multivariate analysis results, all patients were assigned into two groups at a ratio of 1 vs.1(n=86 in each group). Multivariate analysis after propensity score matching (PSM) demonstrated that irradiation method was the independent factor of OS (P=0.038), and T stage and radiotherapy were the independent factors affecting DFS (P=0.002, 0.032). The incidence of ≥grade Ⅱ adverse events did not significantly differ between two groups (P=0.819, 0.756). However, patients with combined chemotherapy experienced more adverse events. Conclusion ENI can prolong the OS and DFS of patients with clinical T_2-3N₀M₀ esophageal squamous cell carcinoma, and does not increase the incidence of severe adverse events.

Objective: To evaluate the effect of locoregional risk factors of esophageal cancer on the recurrence of gross tumor volume (GTV) in patients with N₀ esophageal squamous cell carcinoma after radical intensity-modulated radiotherapy (IMRT) and to evaluate its effect on the 10-year survival of patients. Methods: Clinical data of 374 patients with clinical N₀ esophageal squamous cell carcinoma who underwent radical IMRT in the Fourth Hospital of Hebei Medical University from 2005 to 2010 were retrospectively analyzed. Involved-field irradiation was performed in 284 patients and selective lymph node irradiation was given in 90 patients. Concurrent radiochemotherapy was conducted in 69l patients and sequential radiochemotherapy was performed in 38 patients. The survival analysis was carried out by Kaplan-Meier method. The prognosis analysis was performed by multivariate Cox’s regression model. Results: A total of 143 patients (38.2%) had recurrence in GTV. The maximum transverse diameter (GTV-D), GTV volume (GTV-V) and GTV volume/length (GTV-V/L) of GTV patients were significantly longer than those without recurrence in GTV (P=0.008, 0.043, 0.001). ROC curve analysis showed that the optimal diagnostic thresholds for GTV-D, GTV-L, GTV-V and GTV-V/L for GTV recurrence were 3.5 cm, 5.5 cm, 24.0 cm³ and 4.6 cm², respectively (P=0.000, 0.003, 0.000 and 0.000), and the ratio of recurrence within GTV in the patient group was significantly greater than that in the smaller group (P=0.000, 0.002, 0.001 and 0.000). GTV-L and GTV-V/L were the independent risk factors of recurrence in GTV (P=0.021 and 0.009). The 3-, 5-and 10-year survival rates of all patients in the whole group were 42.9%, 23.2% and 7.9%, respectively. Multivariate analysis demonstrated that age, T stage, concurrent radiochemotherapy, GTV-D and GTV-V/L were the independent risk factors of survival (P=0.027, 0.000, 0.018, 0.009 and 0.034). The main cause of death in patients with a survival time of more than 5 years was still associated with cancer. Conclusions The locoregional risk factors of esophageal cancer exert significant effect on the recurrence of GTV in patients with N₀ esophageal squamous cell carcinoma undergoing radical radiochemotherapy, which can be utilized as the predicting markers. Both GTV-D and GTV-V/L are significantly correlated the 10-year survival of patients.

Objective:To evaluate the correlation of inter-individual variation of cyclosporine dosage and blood concentration and CYP3A4 and CYP3A5 polymorphism in renal transplant recipients. Methods:Two hundred and twenty-one renal transplant recipients treated with cyclosporine were genotyped for CYP3A4 rs4646437C>T and CYP3A5 6986G>A using ligase detection reactions. The effects of genetic polymorphisms of CYP3A4 and CYP3A5 on cyclosporine trough concentration (C0/D) and 2 h post-dose concentra-tion (C2/D) during the period of 6 months, 6-24 months and above 24 months after renal transplant were studied. Results:CYP3A5 6986G>A genotype affected C0/D during the period of 6 months, 6-24 months and beyond 24 months (P<0. 05) with the order of CYP3A5 6986GG>GA>AA. CYP3A4 rs4646437C>T and CYP3A5 6986G>A genotype affected C2/D during the period above 24 months (P<0. 05) with the order of CYP3A4 rs4646437 CC>CT>TT and CYP3A5 6986GG>GA>AA. Conclusion: CYP3A5 6986G>A genotype affects C0/D and C2/D of cyclosporine, and CYP3A4 rs4646437 C>T genotype affects C2/D of cyclosporine. The effects of genotypes are varied in different stages.

Objective To study the relationship between radiation gastritis ( RG ) caused by esophageal cancer radical postoperative prophylactic IMRT and the dose of gastric. Methods A total of 49 esophageal cancer patients received postoperative adjuvant radiatherapy after esophagectomy, we analysised the dose?volume histogram of treatment plan and the the occurrence of RG, To analysis those physical indicators may be related to the occurrence of RG. The of ROC curve to analysis the physical index of the occurrence of acute radiation gastritis, Chi square test is compared between groups, Logistic method was used to multivariate analysis. Results The whole group, a total of 19 cases ( 39%) patients with symptoms of acute RG level 2 or higher. The results of ROC curve analysis showed that the physical variables associated with the occurrence of RG include stomach Max,stomach Mean,LSTT5?LSTT40 and V5?V50.According to the ROC curve,the cutoff values of the physical parameters of the patients were grouped. The incidence of acute≥2RG in the group of above boundary value patients significantly higher than below boundary value group, the physical index of the differences between groups were significant (P=0. 000?0. 022),except V5.The results of Logistic multivariate analysis showed that LSTT5 and V40 were independent predictor of≥2 RG (P=0. 026,0. 001). Conclusions According to the results of this study,We should pay attention to the protection of the stomach in develop a treatment plan for the prevention of postoperative patients with esophageal cancer,dose?volume histogram can well predict the occurrence of RG. Stomach LSTT5 and V40 were independent predictor of≥2 RG.The results of this study need to be further studied.

Objective To investigate the association of local factors with local recurrence (LR) and distant metastasis ( DM) in patients with esophageal squamous cell carcinoma ( ESCC) who do not experience clinical metastasis.Methods A total of 236 eligible ESCC patients were analyzed retrospectively, and the association of lesion length on esophagography, maximum tumor diameter, and tumor volume with survival and treatment failure pattern was analyzed.Kaplan-Meier test and Cox regression were used for survival analysis and to identify prognostic factors.Results The 1-, 3-, and 5-year overall survival rates, LR rates, and DM rates were 88.6%,52.4%,30.2%, 15.5%,35.6%,45.8%, and 9.0%,22.2%, 30.6%, respectively.The multivariate analysis showed that short-term treatment outcome and maximum tumor diameter were independent prognostic factors for overall survival rate ( P=0.000, 0.019); sex, maximum tumor diameter, irradiation method, and short-term treatment outcome were independent prognostic factors for LR (P=0.039,0.003,0.045,0.000);maximum tumor diameter was the independence factor for DM (P=0.035).In the patients receiving elective nodal irradiation and involved-field irradiation, the maximum tumor diameter was the prognostic factor for LR (P=0.008,0.001), and the lesion length on esophagography, maximum tumor diameter, and tumor volume were prognostic factors for DM (P=0.009, 0.023,0.014).Conclusions In ESCC patients without clinical metastasis, local factors are significantly associated with LR and DM, among which maximum tumor diameter is the most important factor.

OBJECTIVE:To prepare mesopocous molecular sieve SBA-15 surface molecularly imprinted polymer (SBA-15@MIP),and analyze the application of SBA-15@MIP in the determination of active micro-component. METHODS:Using baica-lein as the template molecule,acrylamide(AM)as the function monomer,tetrahydrofuran/ethanol(3∶2,V/V)as the polymeriza-tion solvent,ethylene glycol dimethacrylate(EGDMA)as the cross-linker,and 2,2-azobisisobutyronitrile(AIBN)as the initiator, SBA-15@MIP was synthesized on the surface of mesopocous molecular sieve SBA-15. The surface morphology and structure of the obtained polymer were characterized by TEM and FT-IR. Finally,the imprinted polymer was used as an adsorbent for solid-phase extraction (SPE) to detect baicalein in plasma samples by HPLC. RESULTS:It revealed that the well-ordered one-dimensional pore structure of SBA-15 was still preserved in the successful synthesized SBA-15@MIP,and baicalein molecule was imprinted suc-cessfully. The limit of detection(LOD)and limit of quantification(LOQ)for baicalein in plasma were 3.5 ng/ml and 11.6 ng/ml, respectively;the average recovery was 94.4%(RSD=2.9%). CONCLUSIONS:SBA-15@MIP is prepared successfully,and can be applied for the determination of active micro-component.