Imaging examination is a crucial part in diagnosis and treatment of central nervous system infection(CNSI),involving complex imaging sequences and parameters.This consensus was jointly written by multiple CNSI imaging experts in China,aimed to standardize imaging examination of CNSI.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Imaging examination is a crucial part in diagnosis and treatment of central nervous system infection(CNSI),involving complex imaging sequences and parameters.This consensus was jointly written by multiple CNSI imaging experts in China,aimed to standardize imaging examination of CNSI.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

Objective:To investigate the application value of intravoxel incoherent motion (IVIM) imaging in preoperative evaluating perineural invasion (PNI) of esophageal squamous cell carcinoma (ESCC).Methods:The prospective study was conducted. The clinicopathological data of 63 ESCC patients who underwent IVIM imaging before surgery in the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital from January 2016 to April 2019 were selected. Patients underwent routine magnetic resonance imaging scan and IVIM sequence examination. The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*) and pseudodiffusion fraction (f) values were measured. Observation indicators: (1) situations of enrolled patients; (2) IVIM examination of PNI of ESCC and its diagnostic efficiency. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(range), and comparison between groups was analyzed using the Wilcoxon rank sum test. Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test. The interclass correlation coefficient (ICC) was used to evaluate cosistency of results. The receiver operating characrteristic curve was used to evaluate diagnostic efficiency. Results:(1) Situations of enrolled patients. A total of 63 patients were selected for eligibility. There were 41 males and 22 females, aged 60(range, 43?74)years. Of the 63 ESCC patients, 17 cases had PNI and 46 cases had no PNI. Cases with well differentiated tumor, moderate differentiated tumor or low differentiated tumor, cases in stage T1, T2, T3, T4 of infiltra-tion depth, cases with or without lymph node metastasis were 0, 6, 11, 0, 3, 13, 1, 15, 2 in patients with PNI, versus 6, 24, 16, 1, 22, 23, 0, 12, 34 in patients without PNI, showing significant differences between them ( Z=?2.32, ?2.49, χ2=19.58, P<0.05). (2) IVIM examination of PNI of ESCC and its diagnostic efficiency. The ADC, D, D*, f values were (2.21±0.33)×10 ?3 mm 2/s, (1.46±0.31)×10 ?3 mm 2/s, 32.50 (15.55,46.75)×10 ?3 mm 2/s, (0.34±0.09)×10 ?3 mm 2/s in patients with PNI, versus (2.45±0.45)×10 ?3 mm 2/s, (1.72±0.38)×10 ?3 mm 2/s, 34.85(23.43,51.20)×10 ?3 mm 2/s, (0.42±0.13)×10 ?3 mm 2/s in patients without PNI, showing significant differences in the ADC, D and f values between them ( t=?2.03, ?2.52, ?2.34, P<0.05) and no significant difference in the D* value between them ( Z=?0.84, P>0.05). The cosistency of ADC, D, D* and f values in the 63 ESCC patients measured by 2 radiologists was good, with the ICC as 0.96, 0.92, 0.89 and 0.95. The receiver operating characrteristic curve demons-trated the best cut-off value of ADC, D and f values were 2.50×10 ?3 mm 2/s, 1.68×10 ?3 mm 2/s and 0.41, with the areas under the curve as 0.67 (95% confidence interval as 0.54?0.79), 0.70 (95% confidence interval as 0.58?0.81) and 0.69 (95% confidence interval as 0.57?0.80), respectively. The combina-tion of D and f value for diagnosing PNI of ESCC had the area under the curve as 0.74 (95% confidence interval as 0.62?0.84), with the cut-off value as 0.20, sensitivity and specificity as 94.1% and 56.5%. Conclusions:IVIM parameters D and f values can evaluate and predict the PNI of ESCC preopera-tively. The combination of D and f values can further improve the diagnostic efficiency.

Objective:To investigate the clinical significance of MRI dynamic enhancement in defining the upper edge of adenocarcinoma of esophagogastric junction.Methods:The clinical data of 73 patients with adenocarcinoma on the esophagogastric junction operated from Jul 2018 to Aug 2019 in the Affiliated Cancer Hospital of Zhengzhou University were retrospectively analyzed. All patients underwent MRI examination within one week before surgery. First, the T 2WI, diffusion-weighted imaging and dynamic enhanced images of each patient were carefully observed to define the tumor location, size, shape, signal and enhancement mode, then the distances between the upper edge of the tumor and the cardiac incisure on MRI dynamic enhancement were measured independently, and compared with the measured distance in surgical fresh specimens. Results:The mean location of tumor upper edge measured in MRI of 73 patients was (1.75±1.98)cm, while measured in the surgical specimen was (1.72±1.97)cm. There was no significant difference between the two groups ( t=0.572, P=0.569). The intraclass correlation efficient between the two groups was excellent (ICC=0.974, 95% CI: 0.959-0.984, P<0.01). Conclusion:The measurement result of tumor upper edge in MRI is basically consistent with that of surgical specimens. MRI can be used to locate the tumor upper edge for adenocarcinoma of esophagogastric junction before operation.

Antibodies, Neutralizing/immunology* ; Antibodies, Viral/immunology* ; COVID-19/virology* ; COVID-19 Vaccines/immunology* ; Humans ; SARS-CoV-2/pathogenicity* ; Spike Glycoprotein, Coronavirus/immunology* ; Vaccines, Inactivated/immunology*

Objective:To evaluate perioperative coagulatory parameters and transfusion rates of lung transplantation recipients.Methods:Clinical data were retrospectively reviewed for 178 lung transplant recipients at China-Japan Friendship Hospital from March 2017 to July 2019. According to whether extracorporeal membrane oxygenation(ECMO)was used during perioperative period, they were divided into two groups of ECMO(131 cases)and without ECMO(47 cases). Clinical data, laboratory examinations and blood transfusion status of two groups were compared. In ECMO group, excluding secondary thoracotomy for hemostasis(7 cases)and incomplete data(2 cases), the remainders were divided into the groups of no red blood cell transfusion(63 cases), red blood cell transfusion(59 cases), plasma transfusion <1 000 ml(99 cases)and plasma transfusion≥1 000 ml (23 cases), no platelet transfusion(93 cases)and platelet transfusion(29 cases). Clinical data, laboratory examinations and ECMO-related parameters of recipients were analyzed by Bary Logistic regression.Results:Statistically significant inter-group differences existed in body mass index(BMI), disease course, primary disease, bilateral lung transplantation, laboratory examinations, postoperative blood transfusion volume, postoperative red blood cell and plasma transfusion ratio between groups with and without ECMO( P<0.05). Bilateral lung transplantation, ASA grade, differences in BMI, disease course, postoperative hemoglobin<100 g/L, postoperative PT/APTT/INR abnormalities and postoperative PLT count <100×10 9/L were independent risk factors for postoperative transfusion during ECMO. Conclusions:The application of ECMO during lung transplantation may affect the perioperative transfusion volume and demand.Fully assessing blood transfusion requirements, optimizing coagulation monitoring and identifying the independent influencing factors of postoperative blood transfusion facilitate clinical scientific and rational blood transfusions.