Objective To observe the value of machine learning(ML)models based on CT angiography(CTA)morphology combined with blood inflammation indicators for predicting rupture of intracranial aneurysms(IA).Methods Totally 286 IA patients were enrolled,including 143 cases in ruptured group and 143 case in unruptured group.Among them 200 cases(100 in ruptured subgroup and 100 in unruptured subgroup)were taken as training set,while 86 cases(43 in ruptured subgroup and 43 in unruptured subgroup)were taken as validation set.CTA morphological parameters and blood inflammation indicators were compared between subgroups in training set,and the impact factors of IA ruptured among univariate variables were screened using stepwise logistic regression analysis.Logistic regression(LR),classification and regression tree(CART)and backpropagation neural network(BPNN)models were constructed based on the above impact factors,respectively.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the efficacy of these models for predicting IA rupture.Results Neutrophil,neutrophil-lymphocyte ratio,interleukin-10,tumor necrosis factor-α,transforming growth factor-β,as well as tumor width,height and size ratio(SR)were all impact factors of IA rupture(all P＜0.05),and collinearity diagnosis suggested that no covariate relationship existed among these factors.LR,CART and BPNN models had good efficacy for predicting IA rupture in both training and validation sets with AUC of 0.878-0.993,and BPNN model had the best predictive efficacy(AUC of 0.993,0.976).Conclusion ML models based on CTA morphology combined with blood inflammation indicators could be used to predict IA rupture effectively,among which BPNN model had the best efficacy.

During long-term extravehicular activities(EVA),there have been multiple instances of localized discomfort due to cold extremities such as hands and feet.The primary reason is that the design of space suit gloves prioritizes maximizing operational flexibility,which leads to reduced passive thermal protection in certain areas.Insufficient local thermal protection can cause the hands to lose metabolic heat in cold environments over time,resulting in cold stress.Therefore,it is necessary to conduct research on temperature control technology to meet the thermal comfort requirements of astronauts' hands during EVA.Effective active temperature measures can expand the range of low temperature working environments that astronauts' hands can adapt to during EVA,enhance hand thermal comfort,and ensure hand operational capabilities,preventing excessive cold from exceeding medical requirement and affecting extravehicular missions.This paper combines the metabolic heat generation patterns of the human hand to analyze the temperature control requirements for extravehicular gloves,simulate and optimize the layout of electric heaters,and evaluate the feasibility of the electric heating system for extravehicular gloves by building a thermal simulation model.Through prototype vacuum thermal testing,comprehensive verification of the temperature control module for extravehicular gloves was achieved,demonstrating the effectiveness of the temperature control system.

Objective To observe the value of machine learning(ML)models based on CT angiography(CTA)morphology combined with blood inflammation indicators for predicting rupture of intracranial aneurysms(IA).Methods Totally 286 IA patients were enrolled,including 143 cases in ruptured group and 143 case in unruptured group.Among them 200 cases(100 in ruptured subgroup and 100 in unruptured subgroup)were taken as training set,while 86 cases(43 in ruptured subgroup and 43 in unruptured subgroup)were taken as validation set.CTA morphological parameters and blood inflammation indicators were compared between subgroups in training set,and the impact factors of IA ruptured among univariate variables were screened using stepwise logistic regression analysis.Logistic regression(LR),classification and regression tree(CART)and backpropagation neural network(BPNN)models were constructed based on the above impact factors,respectively.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the efficacy of these models for predicting IA rupture.Results Neutrophil,neutrophil-lymphocyte ratio,interleukin-10,tumor necrosis factor-α,transforming growth factor-β,as well as tumor width,height and size ratio(SR)were all impact factors of IA rupture(all P＜0.05),and collinearity diagnosis suggested that no covariate relationship existed among these factors.LR,CART and BPNN models had good efficacy for predicting IA rupture in both training and validation sets with AUC of 0.878-0.993,and BPNN model had the best predictive efficacy(AUC of 0.993,0.976).Conclusion ML models based on CTA morphology combined with blood inflammation indicators could be used to predict IA rupture effectively,among which BPNN model had the best efficacy.

Objective:To investigate the physicochemical and biological properties of different magnesium modified calcium phosphate bone cements.Methods:The different magnesium modified calcium phosphate bone cements were divided into magnesium citrate, magnesium lactate, magnesium malate, magnesium phosphate and magnesium glycinate groups, each of which was added with different magnesium agents in the proportion of 0%, 1%, 3% and 5% of the total weight of calcium phosphate bone cements. The initial and final setting time, injectability, anti-collapse performance and compressive strength of different magnesium modified calcium phosphate bone cements were tested. Furthermore, the screened bone cement extracts were used to culture with third generation osteoblasts. Bioactivity assays were performed using the Cell Proliferation and Toxicity Assay Kit (CCK-8). Alkaline phosphatase (ALP) staining and Alizarin Red S (ARS) staining were performed on osteoblasts to observe the osteogenic activity of magnesium malate modified calcium phosphate bone cements.Results:The addition of different proportions of different magnesium agents led to the shortening of the initial and final setting time of modified calcium phosphate bone cements. Moreover, the final setting time of 5% magnesium malate modified calcium phosphate bone cements was the shortest (<40 minutes), which was significantly shorter compared with other magnesium agents in the same proportion (all P<0.05). With the addition of different magnesium agents in different proportions, the injectability of bone cements was gradually increased, and the injectability of 5% magnesium malate calcium phosphate bone cements reached the highest for (87.3±1.9)%, which was significantly increased compared with other magnesium agents in the same proportion (all P<0.05). The anti-collapse performance of bone cements was decreased with the addition of different magnesium agents in different proportions. Magnesium citrate, magnesium phosphate and magnesium glycinate modified calcium phosphate bone cements could not resist the flushing of deionized water. In particular, magnesium malate modified calcium phosphate bone cements had the best anti-collapse performance, with the maximum weight loss rate for only (9.8±2.3)% after 30 minutes of deionized water flushing, which was better than the rest of the groups (all P<0.05). The compressive strength of magnesium lactate and magnesium phosphate modified calcium phosphate bone cements showed a decrease compared with original calcium phosphate bone cements, while the compressive strength of magnesium citrate and magnesium malate modified calcium phosphate bone cements was significantly increased compared with original calcium phosphate bone cements, of which 3% magnesium malate modified calcium phosphate bone cements had the greatest compressive strength of (6.2±0.2)MPa, significantly higher than the rest of the groups (all P<0.05). The sieve test yielded magnesium malate modified calcium phosphate bone cement, which had a weight loss of (27.0±0.9)% at 35 days in vitro. The release of magnesium ions was increased with increasing magnesium malate dose in the in vitro environment of magnesium malate modified calcium phosphate bone cements in different ratios. A stable magnesium ion release was achieved within 35 days.Also, the pro-proliferative and osteogenic effects of modified calcium phosphate bone cements on osteoblasts were more obvious with increase of magnesium malate dose. For 5% magnesium malate modified calcium phosphate bone cements, the cell number, ALP staining area ratio and calcium nodule area ratio were significantly increased compared with the groups in the proportion of 0% and 1% magnesium malate (all P<0.05). Conclusions:Among magnesium citrate, magnesium lactate, magnesium malate, magnesium phosphate and magnesium glycinate modified calcium phosphate bone cements, magnesium malate modified calcium phosphate bone cements have relatively suitable setting time, excellent anti-collapse performance and mechanical strength. Meanwhile, 5% magnesium malate modified calcium phosphate bone cements have better biological activity among different ratios of magnesium malate modified calcium phosphate bone cements, suggesting a potential value for clinical application.

Objective To establish the best wine steaming process for morinda officinalis with monotropein as indicator. Methods Response surface methodology was used to optimize the wine steaming process for morinda officinalis with the amount of rice wine, stewing time, moistening time and the monotropein content as evaluation indexes. Results The best condition was identified with rice wine (rice wine/herbs, g/g) 10%, moistening time 1.0 h, fully steamed and dried. Conclusion The Star dot design-response surface method can be used to optimize the wine steaming process for morinda officinalis.

Objective:To evaluate the value of a novel multiphase three-dimensional deep learning neural network of computer-aided diagnosis (CAD) used in LDCT lung cancer screening.Methods:Eight thousand eight hundred and fifty volunteers with 1 111 nodules were enrolled in the lung cancer screening from November of 2013 to December of 2017, and the baseline LDCT imaging data of volunteers accompanied with clinical information were retrospectively analyzed. All volunteers in this study were designed to receive LDCT test at least once. All the imaging of volunteers were read through the methods of visual detectioin (VD), CAD, and VD Combined CAD. The criteria of the true pulmonary nodule was determinated by the consistent opinion of two specialists in chest imaging（in case of disagreement, the decision should made by the third chief physician). In terms of the numbers, types or Lung-RADS categories of nodules, the detection rate, missed diagnosis rate and false positive rate of pulmonary nodules or lung cancer among three methods were compared, and the rates between groups were compared by χ 2test. Results:Compared with VD or CAD ,the detection rate of nodules in the CAD combined VD was significantly increased (95.7% , 94.2%, vs. 80.1% P<0.05 ), and the rate of missed diagnosis was significantly reduced (5.8%, 4.3% vs. 19.9% ，χ2=101.650, 128.500 ，P<0.05); Compared with VD, the methods of CAD or VD combined CAD significantly increased the the detection rates of Lung-RADS categories (χ2 =25.083,23.449, P=0.000, 0.000) or different types of nodules (χ2=6.955,6.821, P=0.031, 0.033), but there was no statistically significant difference between CAD and VD combined CAD for Lung-RADS categories and different types of nodules (all P>0.05); Compared with VD and VD combined CAD, the positive prediction rate of CAD for lung cancer was significantly reduced, and the rate of missed diagnosis and false positive rate were significantly increased, but there was no significant difference between VD and VD combined CAD in the prediction rate, missed diagnosis rate and false positive rate of lung cancer. Conclusion:The method of CAD combined VD can reduce the detection of false positive nodules and improve the detection rate of true pulmonary nodules,which is the preferred method using in LDCT lung cancer screening for city population.

Objective To investigate the correlation between quantitative parameters of dynamic contrast?enhanced MRI (DCE?MRI) after neoadjuvant chemotherapy and pathological grades in esophageal squamous cell carcinoma. Methods Fifty?six patients with esophageal squamous cell carcinoma who were confirmed by esophagoscope and received neoadjuvant chemotherapy before operation between September 2015 and December 2017 in the Affiliated Cancer Hospital of Zhengzhou University were prospectively analyzed, and MRI examination was performed within one week before operation. All patients underwent routine chest MRI and DCE?MRI scanning, and quantitative parameters of DCE?MRI, including volume transfer constant (Ktrans),exchange rate constant (Kep) and extravascular extracellular volume fraction (Ve) were measured. Pathological grading was assessed as highly differentiated, moderately differentiated, poorly differentiated,and undifferentiated. Intraclass correlation coefficient (ICC) was calculated from the results of two radiologists. Kruskal?Wallis H test was used to compare the differences of quantitative parameters between different pathological grade groups of DCE?MRI,and Mann?Whitney U test was utilized to compare the intraclass differences among pathological grades. Spearman rank correlation analysis was performed for evaluating the correlation between DCE?MRI parameters and pathological grade of esophageal squamous cell carcinoma. The receiver operating characteristic (ROC) curves were used to evaluate the diagnosis accuracy of different DCE?MRI parameters in pathological grade of esophageal squamous cell carcinoma after neoadjuvant chemotherapy. Results The 56 patients were divided into four groups according to pathological findings: well differentiated group (n=8), moderately differentiated group (n=39), poorly differentiated group (n=9) and undifferentiated group (n=0). The differences of Ktransmean,Ktrans75%,Kepmax, Kepmean,Kep75% between different pathological grading groups were statistically significant (all P<0.05),and these parameters showed positive correlation significantly with pathological grading (r values were 0.778, 0.632, 0.594, 0.725, 0.489 respectively, all P<0.05). The ROC curve area of Ktransmean, Ktrans75% in the diagnosis of pathological grade for esophageal squamous cell carcinoma was 0.750,0.856,respectively. The diagnostic efficiency of Ktrans75% was the best with the diagnostic threshold of 0.693/min,sensitivity of 87.5%, specificity of 78.5%, respectively. Conclusion The quantitative parameters of DCE?MRI after neoadjuvant chemotherapy in esophageal squamous cell carcinoma have the potential value for predicting pathological grade.

Objective To investigate the value of introvoxel incoherent motion(IVIM)using 3.0 T MRI to evaluate response to concurrent chemoradiotherapy(CCRT)in patients with advanced uterine cervix cancer. Methods From July 2015 to December 2016,63 patients with advanced(≥ⅡB)cervical cancer diagnosed by clinical and imaging study, who had completed CCRT plan in Henan Cancer Hospital, were prospectively enrolled.Pelvic MRI protocol including T1WI,T2WI,IVIM and dynamic contrasted enhanced scans were performed in each patient before CCRT and 3 weeks after starting therapy(total dose of 30 Gy), and at the end of therapy (total dose of 90 Gy, 8 weeks after therapy). The mean values of ADC, true molecular diffusion coefficient(D),pseudodiffusion coefficient(D*)and perfusion fraction(f)in each tumor at pre-therapy, in the middle of therapy and post-therapy were measured and recorded as ADC-pre, D-pre, D*-pre,f-pre;ADC-mid,D-mid,D*-mid,f-mid and ADC-post,D-post,D*-post,f-post,respectively;the change rates of these parameters during and after therapy (recorded as ΔADC-mid, ΔD-mid, ΔD*-mid, Δf-mid;ΔADC-post, ΔD-post, ΔD*-post, Δf-post) were also calculated. Patients were classified into response group and non-response group,according to response evaluation criteria in solid tumors after CCRT.MRI imaging study was performed in each patient within 1 month after CCRT to follow up,and tumor regression rate was calculated.The Mann-Whitney U test was used to compare differences of parameters and their change rates between response group and non-response group. Spearman correlation analysis was performed to assess relationships between parameters, parameter change rates and tumor regression rate. Logistic regression model was applied to find potential ADC values for predicting therapeutic response. ROC was used to analyze efficacy of ADC values for evaluating therapeutic response in advanced uterine cervix cancer after CCRT. Results The mean value of tumor maximum diameter before and after therapy was (47.5 ± 12.9) and(12.8 ± 10.0)mm,tumor regression rate was(66.7 ± 33.6)%.Forty-eight patients were in the response group and 15 in the non-response group.The mean value of ADC-pre,D-pre,D*-pre and f-pre was 0.74(0.43, 1.14)×10-3,0.58(0.33,0.91)×10-3,12.12(2.30,21.4)×10-3mm2/s,9.65%(4.45%,13.89%),respectively.Tumor regression rate had positive correlation with ADC-pre and D-pre (r=0.773,0.840;P<0.05). Responders had increased ADC-pre, D-pre values than non-responders, which had statistically significant difference (P<0.05). Responders had increased ADC-mid, D-mid and f-mid values than non-responders, which had statistically significant difference (P<0.05), tumor regression rate had positive correlation with ADC-mid, D-mid and f-mid (r=0.808,0.834,0.563;P<0.05). Responders had increased ADC-post, D-post and f-post values than non-responders,which had statistically significant difference(P<0.05),tumor regression rate had positive correlation with ADC-post and D-post (r=0.799, 0.829;P<0.05).Tumor regression rate had positive correlation with ΔADC-mid,ΔD-mid,Δf-mid(r=0.526,0.573,0.454;P<0.05)and with ΔADC-post,ΔD-post, Δf-post (r=0.541, 0.555, 0.388;P<0.05). Responders had increased ΔADC-mid, ΔD-mid, Δf-mid and ΔADC-post, ΔD-post, Δf-post, which had statistically significant difference (P<0.05). Logistic regression analysis revealed only ADC-pre and D-post could be independent factors to predict therapeutic response in advanced uterine cervix cancer after CCRT,values of B,Wald,odds ratio and P was 22.488,8.431,1.429, 0.004 and 16.542,8.517,1.779,0.004.ROC analysis showed the area under the curve(AUC)of ADC-pre, D-pre,ΔADC-mid,ΔD-mid,Δf-mid,ΔADC-post,ΔD-post and Δf-post for predicting therapeutic response in advanced uterine cervix cancer after CCRT were 0.890,0.926,0.942,0.851,0.803,0.929,0.951 and 0.906, respectively. Conclusion The IVIM parameters before and during CCRT process and their changes are valuable for predicting and evaluating therapeutic response in advanced uterine cervix cancer after CCRT, with high clinical practice value.

Objective To evaluate the value of 3T magnetic resonance imaging (MRI) in the preoperative T staging of potentially resectable esophageal cancer(EC), compared with endoscopic ultrasonography (EUS). Methods Patients with resectable EC pathologically confirmed by biopsy from March 2015 to September 2016 were prospectively enrolled. All patients underwent MRI (including T2-TSE-BLADE,DWI and radial-VIBE)and EUS one week after the biopsy,and MRI were performed prior to EUS, both MRI and EUS were acquired within one week before surgery. Two readers with more than 5 years experiences in the MRI diagnosis evaluated the MR image quality using a 5-point score independently. T staging was assigned on MRI and EUS by the two MRI readers using double-blind method and one endoscopist in accordance with the 7th edition of AJCC TNM Classification for EC, and any disagreement between two MRI readers was resolved by consensus with discussion to the third senior MRI doctor. The inter-observer agreement between two MRI readers were calculated using Kappa test for image quality scores and T staging results. Considering postoperative pathological T staging results as the gold standard, the performances of MRI and EUS were evaluated based on the accuracy rate and analyzed by χ2 test. Results A total of 70 patients were enrolled in the study, the good image quality cases (≥ 3 scores) were 66 in reader 1 and 68 in reader 2. The inter-observer agreement of the image quality scores by two readers was excellent (Kappa=0.824, P<0.05). The pathological results revealed 16 cases of T1 stage, 18 cases of T2 stage, 30 cases of T3 stage, and 6 cases of T4a stage. The inter-observer agreement of the preoperative T staging of EC by two readers was excellent (Kappa=0.809, P<0.05). The accuracy rates of MRI and EUS for preoperative T staging of EC were 92.9% (65/70) and 67.1% (47/70), respectively, and the difference in accuracy rates of two techniques was statistically significant (χ2=14.5, P<0.05). Conclusions The accuracy rate of MRI for preoperative T staging of EC is significantly higher than that of EUS. MRI can be used as a noninvasive method for preoperative T staging of EC.

[Abstract ] Objective To compare the accuracy between regular computed tomography colonography (CTC)and dual-energy CTC in lesion detection.Methods Twenty-eight patients with clinical suspicious space occupying lesions of the colon were selected.All patients were underwent dual-energy mode contrast-enhanced CT scan and the data were reconstructed with colonography and dual-energy iodine maps methods.The diameter,enhanced computed tomography (CT)value and iodine value were measured.The results of colonoscopy and pathology were taken as gold standard.The sensitivity, specificity,accuracy,positive predictive value and negative predictive value of regular CTC and dual-energy CTC were compared.Variance analysis was performed for measurement data comparison among groups and chi-square test was used for count data analysis.Results Among 28 patients,colorectal lesions were detected in 24 cases by regular CTC,of which four cases were false-positive and one case was false-negative confirmed by colonoscopy and pathology.Colorectal lesions were detected in 20 cases by dual-energy CTC,of which no false-positive and one case was false negative confirmed by colonoscopy and pathology.The contrast enhanced CT value of polyps,adenoma,adenocarcinoma and stool was (38.54± 6.82),(49.16±7.31 ),(52.61 ±5 .93 )and (34.00±1 .41 )Hu,respectively.The enhanced value of adenoma and adenocarcinoma was significantly higher than that of polyps and stool,the differences were statistically significant among groups (F = 10.760,P = 0.001 ).There was no significant difference between polyps and stool (t=1 .44,P =0.188).The sensitivity of regular CTC and dual-energy CTC in lesion detection was 95 .6% (95 %cofidence interval(CI ):77.9%-99.2%)and 95 .6% (95 %CI :77.9%-99.2%),respectively.The specificity was 42.8% (95 %CI :15 .4%-93.5 %)and 100.0% (95 %CI :47.9%-100.0%).Conclusion Compared with traditional CTC,dual-energy CTC would distinguish lesions from stool,help differentiate between benign and malignant tumors and further increase the accuracy of CTC diagnosis.