Objective To investigate the predictive value of whole nodule size and solid component size of pulmonary subsolid nodules (SSNs)with different window setting on preoperative HRCT for pathologic grade in lung adenocarcinoma.Methods We retrospectively evaluated preoperative chest HRCT and pathological data of 125 patients with 127 surgically resected lung adenocarcinoma manifesting as SSNs.All specimens were divided into two groups:a total of 69 SSNs in group A,including 22 adenocarcinomas in situ (AIS) and 47 minimally invasive adenocarcinoma (MIA);a total of 58 SSNs in group B,including invasive adenocarcinoma (IAC).Observer 1 used computer aided diagnosis software to measure the volume of whole nodule with lung window setting (WNLW),volume of solid component with lung window setting (SCLW),volume of solid component with mediastinal window setting (SCMW) and volume of solid component with threshold of-300 HU(SCT) of all SSNs.Observer 2 randomly selected 50 SSNs and repeated all the measurements.The interobserver agreement regarding quantitative measurements were evaluated by using intraclass correlation coefficient(ICC).The differences of all quantitative features between two groups were evaluated by Mann-Whitney U test.All the quantitative features were evaluated by using univariate logistic regression analysis,significant quantitative features identified by univariate logistic regression analysis were included in the multivariate logistic regression and independent predictors of pathological grade were obtained.Receiver operating characteristic analysis was conducted for the independent predictive factors that exhibited statistically significant differences in the multivariate logistic regression.Results The interobserver agreement regarding quantitative features were excellent (ICC＞ 0.75).The WNLW,SCLW,SCMW and SCT of group B were significantly larger than those of group A (P＜ 0.001).The univariate logistic regression analysis indicated that WNLW,SCLW,SCMW and SCT were significant (P＜0.001),the multivariate logistic regression analysis indicated that SCT was the independent predictive factor (OR=1.013,95％CI:1.006—1.020,P＜0.001).When SCT larger than 139.00 mm3,SSN was significantly associated with IACs (AUC=0.887,sensitivity=81％,specificity=93％).Conclusion SCT of SSNs on preoperative HRCT can be used to distinguish between AIS-MIA and IAC,which may provide information for choice of operation.

Objective To investigate the predictive value of the whole nodule size and solid component size of lung adenocarcinoma manifesting as subsolid nodule(SSN) in three different dimensions for pathologic grade.Methods We evaluated retrospectively preoperative chest HRCT data of 125 patients with 127 SSNs surgically resected and pathologically conformed lung adenocarcinomas.All specimens were divided into two groups: a total of 69 SSNs in group A, including 22 AIS and 47 MIA;a total of 58 SSNs in group B, only including IAC.Computer aided diagnosis software were used to measure the one dimension maximum diameter of solid component with lung window setting(1D-SCLW),two dimension maximum diameter of solid component with lung window setting(2D-SCLW),one dimension maximum diameter of solid component with mediastinal window setting(1D-SCMW),two dimension maximum diameter of solid component with mediastinal window setting(2D-SCMW),one dimension maximum diameter of whole nodule with lung window setting (1D-WNLW), two dimension maximum diameter of whole nodule with lung window setting (2D-WNLW), and volume of solid component with threshold of-300 HU (SCT) of all SSNs.Results 1D-SCLW, 2D-SCLW,1D-SCMW,2D-SCMW,1D-WNLW,2D-WNLW and SCT of the group B were significantly larger than those of the group A(P=0.000).ROC analyses indicated that the diagnostic efficiency of SCT for the pathologic grade was the highest among 7 CT features(AUC=0.887, sensitivity:81%,specificity:93%);The cut-off values of 1D-SCLW,2D-SCLW,1D-SCMW,2D-SCMW,1D-WNLW, 2D-WNLW and SCT were 17.50 mm,14.75 mm,9.50 mm,7.75 mm,0.50 mm,1.25 mm and 139.00 mm3.Multiple Logistic regression analysis revealed that SCT was the independent predictor of pathologic grade(OR=4.978,95%CI=1.430-17.331,P=0.012).SCT of 139.00 mm3 or greater was a significant indicator of IAC.Conclusion Among the whole nodule size and solid component size of SSN in three different dimensions on preoperative HRCT, SCT is found to be the independent predictor of pathologic grade, which may provide reference for surgery.

Objective:To explore the association of cerebral venous outflow assessed by CT angiography (CTA) with first pass effect (FPE) in patients with acute anterior circulation large vessel occlusion accepted mechanical thrombectomy (MT).Methods:A retrospective analysis was performed; patients with acute anterior circulation large vessel occlusion accepted MT and CTA in Department of Neurology, Affiliated Hospital of Xuzhou Medical University from July 2018 to June 2021 were consecutively enrolled. Cerebral venous outflow in baseline CTA was evaluated using Cortical Vein Opacification Score (COVES). Patients were categorized into either FPE or non-FPE groups based on recanalization of occluded vessels after initial MT. General information, clinical features, radiological data, and surgery-related data between the 2 groups of patients were collected and compared. Significant variables ( P<0.1) from univariate analysis were included into a multivariable Logistic regression model to explore the relation between COVES and FPE. Predictive value of COVES in FPE was assessed using receiver operating characteristic (ROC) curve. Results:Out of the 143 patients enrolled in this study, 52 were into the FPE group and 91 were into the non-FPE group. Compared with the non-FPE group, the FPE group had higher COVES scores, higher proportion of patients with good cerebral venous drainage (COVES≥3), smaller core infarct volume, and shorter time from femoral artery puncture to vessel recanalization, with significant differences ( P<0.05). Multivariable Logistic regression analysis revealed that COVES was still corelated with FPE after adjusting covariates such as baseline NIHSS scores, core infarct volume, and time from femoral artery puncture to vessel recanalization ( OR=0.730, 95% CI: 0.567-0.940, P=0.015). ROC curve demonstrated that the combined model of COVES with aforementioned factors (COVES scores+baseline NIHSS scores+core infarct volume+time from femoral artery puncture to vessel recanalization) had an area under the curve of 0.757 (95% CI: 0.672-0.841, P<0.001), with sensitivity of 61.5% and specificity of 78.0%. Conclusion:Favorable cerebral venous drainage is an independent predictor for successful FPE in patients with acute anterior circulation large vessel occlusion accepted MT.

Objective To investigate the expression levels of plasma circular RNA PTP4A2(circPTP4A2)and circTLK2 in elderly patients with acute ischemic stroke(AIS)and their predic-tive value for neurological functional outcomes.Methods A total of 122 elderly AIS patients admitted to our department from May 2021 to December 2022 were prospectively recruited,and according to their modified Rankin Scale(mRS)score at 3 months after stroke onset,they were divided into a good outcome group(mRS score≤2,81 cases)and a poor outcome group(mRS score:3-6,41 cases).Their baseline data,and plasma circPTP4A2 and circTLK2 levels were compared between the two groups.Multivariate logistic regression analysis was employed to iden-tify prognostic factors for poor outcomes in the elderly AIS patients.ROC curve analysis was ap-plied to evaluate the prognostic value of circPTP4A2 and circTLK2 for adverse outcomes in the patients.Pearson correlation analysis was performed to assess the relationship of plasma levels of circPTP4A2 and circTLK2 with NIHSS score,as well as mRS score.Results The plasma expres-sion levels of circPTP4A2 and circTLK2 were significantly higher in the poor outcome group than the good outcome group[2.08(0.87,2.77)vs 0.93(0.63,1.20),1.71(0.92,2.80)vs 0.75(0.49,1.09),P＜0.01].Multifactor logistic regression analysis showed that plasma circPTP4A2 and circTLK2 were independent predictive factors for poor functional outcomes in elderly AIS patients(P＜0.01,P＜0.05).ROC curve analysis demonstrated that the AUC value of combined circPTP4A2 and circTLK2 in predicting poor outcome in elderly AIS patients was 0.787(95％CI:0.691-0.883).Pearson correlation analysis revealed that the expression levels of circPTP4A2 and cir-cTLK2 in elderly AIS patients were mildly positively correlated with baseline NIHSS scores(r=0.463,r=0.456;P＜0.01)and moderately positively correlated with mRS scores at 3 months after stroke onset(r=0.682,r=0.604;P＜0.01).Conclusion Plasma circPTP4A2 and circTLK2 may be potential biomarkers for predicting neurological functional outcomes in elderly AIS patients.

Meridian theory plays an important role in the guidance of clinical practice of acupuncture and moxibustion. Since the publication of(), the meridian theory has been developed. In the paper, in view of complex science, the topological properties of acupoint-symptom network were analyzed quantitatively by taking acupoint as node and indication as the connection, such as high clustering coefficient and the small world effect. It was the first time to give the abstraction for the topological proof of the high efficiency information transmission property of acupoint-symptom network meridian system at different times. Its quantitative and digitalized significance was analyzed on the development of meridian theory under the complex scientific background so as to provide a new thought and method for the study of meridian theory and acupuncture modernization.

Objective To analyze the radiological features of idiopathic pediatric meningiomas and explore their relationships with pathological grading,misdiagnoses,and blood loss during surgery.Methods We retrospectively reviewed 29 cases of pathologically confirmed pediatric meningiomas with pre-operative magnetic resonance imaging in Beijing Tiantan Hospital from November 2014 to July 2018.We assessed the imaging features to explore their relationships with pathological grading,misdiagnoses,and blood loss during surgery. Results Among the 29 cases,7 intraparenchymal meningiomas,5 extraparenchymal meningiomas,4 ventricular meningiomas,and 1 transcranial meningioma were misdiagnosed.Tumor location was significantly associated with possibility of misdiagnoses(
Child ; Humans ; Magnetic Resonance Imaging ; Meningeal Neoplasms/diagnostic imaging* ; Meningioma/diagnostic imaging* ; Retrospective Studies