Objective To analyze the MRI features of endometrial stromal sarcoma(ESS)and to explore its value in clinical application. Methods Thirteen patients with histologically proven ESS were collected.All cases underwent non-contrast MRI scan and DWI,10 of which underwent contrast-enhanced MRI scan.The MRI features were discussed in combination with the pathological results after operation.Results In all lesions,6 lesions were located in endometrial cavity,4 in myometrium,1 in right wall of uterus and broad ligament,1 in cervical canals,and 1 in the top segment of vagina and pelvic.Plain MRI showed the lesions with hypointensity on T 1 WI and mixed hyperintensity on T 2 WI,which exhibited polypoid or multiple nodular masses.DWI showed the lesions with different hyperintensity.In 10 patients with post-enhanced scanning,moderate or marked heterogeneous enhancement of the masses were demonstrated,in which 6 presented plateau pattern of time-signal enhanced curve and 4 were persistent pattern.Conclusion ESS had some characteristic features on MRI,and DWI and dynamic contrast-enhanced examination can help to improve the diagnosis and differential diagnosis.

Objective:To investigate the effect and tolerance of non-invasive ventilation (NIV) with helmet in patients with respiratory failure caused by acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and the effect on improving blood gas, alleviating dyspnea and the occurrence of complications.Methods:Patients with AECOPD and respiratory failure admitted to emergency intensive care unit (EICU) and respiratory intensive care unit (RICU) of the First Affiliated Hospital of Zhengzhou University from January 1st, 2018 to May 31st, 2019 were enrolled. After obtaining the informed consent of the patients or their authorized family members, the patients were divided into two groups: the helmet group and the facial mask group by random number table. NIV was carried out by using helmet or facial mask, respectively. During the course of NIV (immediately, 1 hour, 4 hours and at the end of NIV), the tolerance score, blood gas analysis, heart rate (HR), respiratory rate (RR) of patients were monitored, and the incidence of tracheal intubation, in-hospital mortality and complications were observed. Kaplan-Meier survival curve was plotted to analyze the 30-day cumulative survival of the two groups.Results:A total of 82 patients with AECOPD and respiratory failure were included during the study period. After excluding patients with the oxygenation index (PaO 2/FiO 2) > 200 mmHg (1 mmHg = 0.133 kPa), with tracheal intubation or invasive ventilation, suffering from acute myocardial infarction, severe trauma within 2 weeks, excessive secretion, sputum discharge disorder or refusal to participate in the study, 26 patients were finally enrolled in the analysis, randomly assigned to the helmet group and the facial mask group, with 13 patients in each group. The PaO 2/FiO 2 after NIV of patients in both groups was increased significantly as compared with that immediately after NIV, without significant difference between the two groups, but the increase in PaO 2/FiO 2 at the end of NIV compared with immediately after NIV in the helmet group was significantly higher than that in the facial mask group (mmHg: 75.1±73.2 vs. 7.7±86.0, P < 0.05). RR at each time point after NIV in the two groups was lower than that immediately after NIV, especially in the helmet group. There were significant differences between the helmet group and facial mask group at 1 hour, 4 hours, and the end of NIV (times/min: 17.5±4.1 vs. 23.1±6.3 at 1 hour, 16.2±2.5 vs. 20.0±5.5 at 4 hours, 15.5±2.5 vs. 21.2±5.9 at the end of NIV, all P < 0.05). The NIV tolerance score of the helmet group at 4 hours and the end was significantly higher than that of the facial mask group (4 hours: 3.9±0.3 vs. 3.3±0.9, at the end of NIV: 3.8±0.6 vs. 2.9±0.9, both P < 0.05). There was no significant difference in the improvement of pH value, arterial partial pressure of carbon dioxide (PaCO 2), or HR between helmet group and facial mask group. The total number of complications (cases: 3 vs. 8) and the nasal skin lesions (cases: 0 vs. 4) in the helmet group were significantly less than those in the facial mask group (both P < 0.05). Only 2 patients in the helmet group received endotracheal intubation, and 1 of them died; 5 patients in the facial mask group received endotracheal intubation, and 3 of them died; there was no significant difference between the two groups (both P > 0.05). The Kaplan-Meier survival curve analysis showed that the cumulative survival rate of 30 days in the helmet group was lower than that in the facial mask group, but the difference was not statistically significant (Log-Rank test: χ 2 = 1.278, P = 0.258). Conclusion:NIV with helmet has better comfort for patients with AECOPD combined with respiratory failure, and better effect on improving oxygenation and relieving dyspnea, and its effect on carbon dioxide emissions is not inferior to that of traditional mask NIV.

Objective To investigate the value of qualitative and quantitative characteristics of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI in preoperative prediction of vessels encapsulating tumor clusters(VETC)pattern in hepatocellular carcinoma(HCC).Methods A total of 234 patients diagnosed with HCC by pathology were analyzed retrospectively.A total of 101 VETC-positive HCC patients and 133 VETC-negative HCC patients were included.All patients were divided into training group and validation group according to 7︰3.The training group data were used to construct a prediction model for VETC-positive HCC.Receiver operating characteristic(ROC)curve was drawn and the area under the curve(AUC)was calculated to verify the diagnostic efficiency of the model.Calibration curve was drawn to verify the calibration of the model.Results Multivariate logistic regression analysis predicted the independent risk factors for VETC-positive HCC:portal phase peripheral washout[odds ratio(OR)6.493],necrosis or severe ischemia(OR 4.756),targetoid transitional phase or hepatobiliary phase(OR 0.307),and lesion to liver signal intensity ratio(LLR)on arterial phase(OR 0.074).The AUC of the training group in predicting VETC-positive HCC was 0.790[95%confidence interval(CI)0.720-0.859].The AUC of the validation group in predicting VETC-positive HCC was 0.779(95%CI 0.668-0.889).The calibration curve diagram showed that the calibration curve(the slope was 0.91)almost coincides with the ideal curve,indicating that the prediction model had better calibration.Conclusion The qualitative and quantitative characteristics of Gd-EOB-DTPA enhanced MRI can be used to predict VETC-positive HCC preoperatively,the independent risk factors of VETC include portal phase peripheral washout,necrosis or severe ischemia,targetoid transitional phase or hepatobiliary phase,and LLR on arterial phase.

Objective To investigate the value of the liver imaging reporting and data system v2018(LI-RADS v2018)and other imaging features in predicting preoperative risk and postoperative prognosis of isolated macrotrabecular-massive hepatocellular carcinoma(MTM-HCC).Methods Patients with isolated hepatocellular carcinoma(HCC)confirmed by pathology after preoperative MRI examination were selected,and all patients were randomly assigned to a training group(n=146)and a validation group(n=62)in a 7∶3 ratio.Least absolute shrinkage and selection operator(LASSO)regression and multivariate logistic regression were used to screen independent prognostic factors of MTM-HCC and construct a nomogram.Patients were stratified into high-risk and low-risk subgroups based on the nomogram scores.Kaplan-Meier survival curves and Log-rank tests were used to compare the recurrence-free survival(RFS)among different subgroups of patients.Results Multivariate logistic regression analysis revealed that intratumoral vessels[odds ratio(OR)=3.480,95％confidence interval(CI)1.110-10.912,P=0.032],arterial phase hypovascular component ≥20％(OR=4.615,95％CI 1.728-12.321,P=0.002),and corona enhancement(OR=4.814,95％CI 1.816-12.766,P=0.002)were independent predictors of MTM-HCC.The nomogram constructed based on these indicators demonstrated area under the curve(AUC)of the receiver operating characteristic(ROC)curve was 0.834 and 0.764 for predicting MTM-HCC in the training and validation groups,respectively.The RFS predicted by the nomogram was significantly different between the high-risk and low-risk subgroups and both the pathologically confirmed MTM-HCC positive and negative groups(P＜0.05).Conclusion Intratumoral vessels,arterial phase hypovascular component ≥20％,and corona enhancement are independent predictors of MTM-HCC.The constructed nomogram based on these predictors demonstrates good diagnostic efficacy for MTM-HCC and has significant prognostic value for patients'RFS.

Objective To observe the value of the scoring model of MRI features for predicting proliferative hepatocellular carcinoma(HCC).Methods Data of 241 patients with pathologically confirmed HCC,including 90 cases of proliferative HCC and 151 cases of non-proliferative HCC were analyzed retrospectively.Univariate and multivariate logistic regression were used to compare the clinical and MRI findings evaluated according to liver imaging reporting and data system version 2018 between groups.The independent predictive factors of proliferative HCC were screened,and scores were assigned according to the weight,then a scoring model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curves(AUC)were calculated to assess the predictive efficacy of this model.The patients were divided into high and low proliferation risk subgroups based on the optimal score thresholds.The recurrence free survival(RFS)rates and early RFS rates were compared between groups and subgroups.Results MRI showed tumor corona enhancement,arterial phase annular hyper-enhancement,intratumoral vessels,much focus parenchymal low enhancement and irregular tumor margins were all independent predictive factors for proliferative HCC(OR=3.287,2.362,4.542,2.997,2.379,all P＜0.05),which were then were scored with 7,5,9,7 and 5,respectively,with a total score of 0-33.AUC of the obtained scoring model for predicting proliferative HCC was 0.818.Taken 9 points as the optimal score thresholds,97 cases were assigned into high proliferation subgroup and 144 into low proliferation risk subgroups).Significant differences of RFS rates and early RFS rates were found between groups and subgroups(all P＜0.05).Conclusion MRI features scoring model could effectively predict proliferative HCC.