Objective To analyze the MRI manifestations of meningeal carcinomatosis, and to investigate the value of MRI in diagnosis of meningeal carcinomatosis.Methods The MRI data of 28 cases with proven meningeal carcinomatosis were reviewed retrospectively.Results 11, 8 and 25 cases were detected respectively on pre-contrast T 2WI and T 1WI of SE sequence , and post-contrast T 1WI.According to the manifestations of post-contrast MRI, meningeal carcinomatosis were divided into two types: dura-arachnoid enhancement(7 cases) and pia-subarachnoid space enhancement(18 cases) in accordance with the standard of Meltzer.Conclusion MRI, especially the post-contrast MRI is a reliable modality in diagnosis of meningeal carcinomatosis. Double dosage of contrast medium and thin slice thickness can provide more informations.

OBJECTIVE:Using in vitro studies,we evaluated the antibacterial activity of amoxicillin/tazobactam against 128 strains of pathogens isolated from patients and compared with amoxicillin/clavulanic acid and amoxicillin/sulbactam.METHODS:To detect the minimum inhibitory concentrations (MIC)of four ?-lactams against 128 clinically isolated strains with agar dilution method.RESULTS:The results indicated that the in vitro antibacterial activity of amoxicillin/tazobactam(2∶1) was the best.The MIC50 of amoxicillin/tazobactam(2∶1) is 1/4～1/8 times than those of amoxicillin/sulbutam and amoxicillin/clavulanic acid.The MIC90 of amoxicillin/tazobactam(2∶1) was 1/2～1/4 of those of amoxicillin/sulbutam and amoxicillin/clavulanic acid.The combination ratio 2∶1(amoxicillin/tazobactam)of the two compounds was more suitable than other combination ratios(4∶1 and 8∶1)for inactivating ?-lactamase.CONCLUSION:The in vitro antibacterial activities of amoxicillin/tazobactam(2∶1) against MRSA,MRSE,MSSA and E.coli are high.It showed that amoxicillin/tazobactam(2∶1)is stable to ?-lactamase and is an effective bactericidal agent.

Objective To investigate the methods and evaluate their efficacy of pseudoaneurysms by color Doppler ultrasound guided compression and injection treatment.Methods Twenty patients with seventeen femoral artery pseudoaneurysms and three subclavian artery pseudoaneurysms underwent compression and injection treatment with color Doppler ultrasound guided.Results Simple compression method presented a successful rate of 86%(12 out of 14 patients).Two with subclavian artery pseudoaneurysms were injected with medical OB glue,as a result,one had a hard knot in the lesion after treatment,the other was thrombosed in the remote artery.Thrombin injection achieved the rate of success 100%, 4 in 4 patients.Conclusions Color Doppler ultrasound guided compression and thrombin injection is a simple,safe and effective method for the treatment of postangiographic pseudoaneurysms,but medical OB glue injection may bring about complications.

Objective To evaluate the roles of multi-voxel proton magnetic resonance spectroscopy (1H-MRS) in the early diagnosis of vascular cognitive impairment no dementia (VCIND).Methods Seventy-eight out-patients and inpatients in Department of Neurology, the second Affiliated Hospital of Soochow University from December 2008 to September 2009 were recruited in this case-control study.Their cognitive functions were assessed with a wide range of neuropsychological battery of tests including Montreal cognitive assessment ( MoCA Beijing Version ), auditory verbal learning test ( AVLT), digital span test (DST), Rey-Osterrieth complex figure test (CFT) ,semantic and phonetic fluency tests, digit symbol coding subtest (DSCT), trail making test (TMT), clock drawing test (CDT) and the Stroop color-word test (SCWT).All patients were classified into vascular cognitive impairment no dementia (VCIND) group and cognitive normal control group based on the results of neuropsychological tests.Eighteen patients with VCIND and 18 gender-, age- and education-matched normal control were randomly selected for the following study.With multi-voxel 1H-MRS, the levels of N-acetylaspartartate (NAA), creatine (Cr) and choline (Cho) in gray matters of bilateral frontal lobe, temporal lobe, parietal lobe and thalamus were measured and the ratios of NAA/Cr, Cho/Cr were compared between the two groups.Meanwhile, the correlations between scores of MoCA and its sub-items and the ratios of NAA/Cr, Cho/Cr were analyzed in VCIND group.Informed consent was obtained from all participants and the study was approved by the Ethics Committee of the hospital.Results Compared with control group, the ratios of NAA/Cr were significantly decreased in bilateral gray matters of thalamus ( left, 1.56 ± 0.49 vs 1.89 ± 0.48, F = 11.222, P = 0.002; right,1.63± 0.45 vs 1.86 ± 0.33, F = 5.358, P = 0.027 ).No significant difference were found in NAA/Cr in gray matters of bilateral frontal lobe, temporal lobe, parietal lobe and Cho/Cr in all regions between two groups ( all P ＞ 0.05 ).In VCIND group, the decreased degree of NAA/Cr in bilateral gray matters of thalamus was significantly positively correlated with the MoCA total score ( r = 0.54, 0.44 ) as well as the sub-scores in tested items of memory ( r = 0.61, 0.49 ), attention ( r = 0.43, 0.36 ), language ( r = 0.39,0.31) and visuospatial or executive( r = 0.29 , 0.33, all P＜0.05 orP＜0.01).Conclusions Cognitive impairment in patients with VCIND maybe related to metabolic dysfunction of neurons in bilateral thalamic.Multi-voxel 1H-MRS plays an important role in early diagnosis and monitoring disease progression of VCIND.

The present paper is aimed to explore the origins of Proteus mirabilis (PM) whorl swarming growth phenomenon. The whorl swarming growth phenomenon of PM was observed by changed bacterial culture inoculation time, humidity, vaccination practices, cultured flat placement, magnetic field, pH and other factors. Bacterial ring spiral direction of rotation is counterclockwise and the volatile growth process of PM was whorl swarming growth phenomenon. Spiro fluctuation phenomenon was of high frequency in the sealing tanks by cultured anytime inoculation, wherever inoculation technique applied or not, the presence or absence of the magnetic field, and wherever the dish position was. The experimental results showed that the whorl swarming growth phenomenon of PM requires specific pH environment, in which the facts may be relative to its genetic characteristics and the Earths rotation.
Cell Culture Techniques ; Hydrogen-Ion Concentration ; Magnetic Fields ; Proteus mirabilis ; growth & development

Objective To explore the MRI features of patients with multiple system atrophy (MSA) and Parkinson's disease (PD) for providing early evidence in differential diagnosis. Methods The MRI features of 24 patients with MSA, 30 patients with PD and 30 healthy people as controls were retrospectively analyzed. Abnormal intensity in MRI included the hot-cross bun sign and the slitlike changes. The atrophies of brain included cerebellar, middle cerebellar peduncles, medulla oblongata and pon. Cerebral ventricle dilatation included fourth ventricle and cisterna pontis. The midbrain area, pons area and middle cerebellar peduncles width were measured. Results All patients with MSA had at least one of the features observed on MR images, and there were some differences in the subtypes of MSA. The high sensitive features were the atrophies of middle cerebellar peduncles (79.2%), the atrophies of pons (79.2%) and the hot-cross bun sign (75.0%). The parameters with high specificity and high positive predictive value were hot-cross bun sign (both 100%), the slit-like sign (both 100%), the atrophies of middle cerebellar peduncles (93.3% and 90.1%), and the atrophies of pons (96.7% and 95.0%). MSA group had the statistically significantly decreased values of pons area, midbrain area and middle cerebellar peduncles width [(288. 7±75. 4) mm2, (127.8±25.8) mm2 and (10. 7±2.8) mm, respectively], as compared with PD group [(477. 5 ± 54. 3) mm2, (145.9±21.6) mm2 and (16.2±1.3) mm, respectively] and healthy group [(454. 5±36. 8) mm2 , (146.4±17.4) mm2 and (16.7±1.2) mm, respectively] (all P ＜0. 05). Conclusions The routine MRI is helpful in differential diagnosis between MSA and PD and has some values in diagnosing the subtypes of MSA.

OBJECTIVE:To prepare etoposide-bovine serum albumin-microspheres (VP-BSA-MS)and to study the distribution and pharmacokinetics of VP-BSA-MS in mice. METHODS: The drug concentrations in various tissues were determined by high-performance liquid chromatograph (HPLC). RESULTS: The VP-BSA-MS was injected into mice and (47.88?2.56 )% of the total dosage was detected in lung tissue 15min after administration,the pharmacokinetical equation was C=149.0 897e-1.7 780t+3.9 627e-0.0 398t —153.0 524e-3.5 054t. CONCLUSION:The VP-BSA-MS showed remakable targeting action to the lung and the pharmacokinetic regularity could be discribed as two-compartment model

OBJECTIVE： To prepare etoposide－ bovine serum albumin－ microspheres (VP－ BSA－ MS)and to study the distribution and pharmacokinetics of VP－ BSA－ MS in mice. METHODS: The drug concentrations in various tissues were determined by high－ performance liquid chromatograph (HPLC). RESULTS: The VP－ BSA－ MS was injected into mice and (47.88± 2.56 )％ of the total dosage was detected in lung tissue 15min after administration， the pharmacokinetical equation was C=149.0 897e－ 1.7 780t＋ 3.9 627e－ 0.0 398t — 153.0 524e－ 3.5 054t. CONCLUSION： The VP－ BSA－ MS showed remakable targeting action to the lung and the pharmacokinetic regularity could be discribed as two－ compartment model

Objective To investigate the value and diagnostic efficiency of the quantitative dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) and intravoxel incoherent motion (IVIM) parameters using three dimention (3D)-histogram analysis for discriminating the Gleason score (GS) of prostate cancer. Methods A total of 53 patients pathologically confirmed as prostate cancer by systemic prostate biopsy who had routine , DCE and DWI-MRI scans were retrospectively analyzed. There were 15 cases for low-risk and 38 cases for intermediate/high-risk prostate cancer. The 3D ROI of all lesions based on T2WI was achieved by image registration to get the quantitative parameters of DCE-MRI and DWI-IVIM. The parameters of DCE-MRI contains: transfer constant (Ktrans), rate constant (Kep) and extracellular-extravascular volume fraction (Ve).The DWI-IVIM related quantitative parameters were ADC, diffusion coefficient (D), diffusion coefficient related to perfusion (D*) and perfusion fraction (f). Then the histogram analysis of these quantitative parameters was performed to get the mean, median, 25th percentile, 75th percentile, Skewness and Kurtosis. Using the Spearman rank correlation analysis to evaluate the correlation of these parameters and GS of prostate cancer. The diagnostic performance of these quantitative histogram parameters related to the GS in identifying low-risk and intermediate/high-risk of prostate cancer was carried by ROC. Results The Kep and Ktrans (mean, median, 25th, 75th) of DCE-MRI were positively correlated with GS (r value was 0.346 to 0.696, P<0.05). The ADC (mean, median, 25th, 75th), D (mean, median, 25th, 75th, Skewness, Kurtosis) and D*(25th) of DWI-IVIM were correlated with GS (r value was-0.544 to 0.428, P<0.05). The DCE-MRI quantitative parameters Kep (25th) had the highest area under curve (AUC, 0.961); The ADC (median) and D (25th) had higher AUC( 0.832, 0.888) in the quantitative parameters of DWI-IVIM, the difference between Kep(25th) and ADC (median) was statistically significant (Z value was 2.212, P value was 0.027). The difference of AUC between Kep (25th) and D (25th), D (25th) and ADC (median) was not statistically significant (Z values were 1.027 and 1.398, P values were 0.162 and 0.304, respectively).Conclusion DCE and IVIM quantitative parameters (Kep, Ktrans, ADC, D) histogram analysis results are correlated with GS, and can be used for distinguishing low-risk from intermediate/high-risk prostate cancer.

Objective:To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.Methods:A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Results:Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95% CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95% CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95% CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN* model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95% CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO 2), Total CO 2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN* model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. Conclusion:Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.