AIM To establish an HPLC method for the simultaneous content determination of narirutin,naringin,hesperidin,neohesperidin,honokiol and magnolol in Liuhe Dingzhong Pills (Aurantii Fructus,Citri reticulatae Pericarpium,Magnoliae officinalis Cortex,etc.).METHODS The analysis of 75％ methanol extract of this drug was performed on a 30 ℃ thermostatic Dikma Spursil C18 column (4.6 mm ×250 mm,5 μm),with the mobile phase comprising of acetonitrile-water flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 283 nm and 294 nm.RESULTS Six constituents showed good liner relationships within their own ranges (r≥0.999 3),whose average recoveries were 92.6％-103.7％ with the RSDs of 0.89％-2.87％.The contents of naringin and neohesperidin in three batches of samples showed obvious differences.CONCLUSION We should pay attention to the unstable quality of Liuhe Dingzhong Pills due to Aurantii Fructus.

Objective To investigate ~1H-MRS findings of brain tumor and the clinical application of ~1H-MRS.Methods 80patients with brain tumors clinically or pathologically-proved underwent ~1H-MRS.Normal opposite hemispheres in 30 cases were used as control group.Single voxel spectroscopy(SVS) or 2D-MRS imaging was performed with excited echo sequence.The mean ratio of metabolisms with difference was compared.Results Compared with control group,NAA of tumor decreased in certain degree(P

Objective:To investigate the correlation between the breast cancer MRI schedule of reinforcement and the shrinkage pattern of tumor after neo-adjuvant chemotherapy, and its clinical significance in the guidance of formulating operation plan. Methods:Dynamic contrast-enhanced MRI scan was performed before chemotherapy and before surgery after a whole-range N-Acety-L-Cysteine (NAC) treatment in 55 patients with loco-regionally advanced breast cancer who received the neo-adjuvant chemotherapy. MRI sched-ule of reinforcement and the shrinkage pattern of tumor after neo-adjuvant chemotherapy were obtained in the treatment, and the corre-lation between the two was analyzed. Results:Of the 55 patients, the unilateral breast mass was found in 54 and the bilateral lesion in 1. There were 56 neo-plastic foci in these patients. The mass-like enhanced image was seen in 24 of the total cases (43%), of which 23 presented with a centripetal shrinkage, 1 with an annular decline, (P<0.01). Multifocal mass-like enhancement image was found in 13 of the total cases, (23%), of which 2 centripetal shrinkages were the singular mass, 11 remained a multifocal lesion after the tumor shrinkage (P<0.01). The mass with peripheral non-tumor-like enhancement image was seen in 8 of the total cases (14%), of which 4 showed a centripetal shrinkage and another 4 a honeycombed multifocal decline (P>0.05). There were 11 of the total cases with non-tu-mor-like enhancement (20%), in which 4 assumed a centripetal shrinkage and 7 a honeycombed multifocal shrinkage (P<0.01). Conclu-sion:The tumor shrinking pattern and its accurate radiological image evaluation are the keys to the selection of breast-conserving sur-gery and the control of local recurrence after treatment of NAC regimen. We can predict the shrinking pattern through the type of the le-sion on baseline before NAC, which is important for the patients and surgeon to get a reasonable expectation in the subsequent treat-ments.

Objective ToassessthevalueofGdGEOBGDTPAenhancedT1ρimaginginevaluatingtheseverityandinflammation gradeinnonalcoholicsteatohepatitis(NASH)rabbitsmodel.Methods NASH modelswereestablishedin26adultrabbitsbyfeeding withthehighGfat,highGcholesteroldietinavarieddurations (0,4,8,12 weeks).T1ρ,T1ρinthehepatobiliaryphase (HBP)and changeofT1ρ(Δ%)werecomparedamongthedifferentgroupswhichweredeterminedbydifferentnonGalcoholicfattyliverdisease activityscore(NAS)andinflammationgrades.SpearmancorrelationanalysiswasusedtoassessthecorrelationsofT1ρ,T1ρ(HBP) withNASscoresandinflammationgrades.ROCcurvewasperformedtoevaluatethediagnosticvalueofT1ρ,T1ρ(HBP)inpredicting NASHandadvancedinflammation.Results T1ρandT1ρ(HBP)werepositivelyassociatedwithNASandinflammationscores.The differencesofT1ρ(HBP)amongNASH,nonalcoholicfattyliver(NAFL)andnormalliverwerestatisticallysignificant(P＜0.05). T1ρ(HBP)wassignificantlydifferentintherabbitswithgrade3inflammationfromintherabbitswithgrade0,grade1andgrade2 inflammation (P＜0.05).AUCsofT1ρandT1ρ(HBP)fordifferentiatingNASH were0.849and0.949,respectively.AUCofT1ρand T1ρGHBPfordiagnosinggrade2andgrade3inflammationwere0.925and0.922,respectively.Fibrosisandinflammationwerethe mainindependentfactorsaffectingT1(HBP).Conclusion GdGEOBGDTPAenhancedT1ρimagingcanreflecttheseverityofNASH anddegreeofinflammation.T1ρ(HBP)mightbeamoresuperiornoninvasiveimagingbiomarkerthannonGenhancedT1ρforassessmentof NASHactivityandinflammationgrading.

Objective To explore the predictive value of CT image texture analysis for early enlargement of hypertensive intracerebral hemorrhage.Methods One hundred and eight patients with hypertensive intracerebral hemorrhage were divided into enlarged hematoma group (positive group)and non-enlarged hematoma group (negative group),according to whether the volume of hematoma on 24 h follow up CT scan was more than 30% or 6 mL of the baseline CT.Phillis Radiomics Tool V93 software was used to segment the hematoma on CT plain scan images of two groups,four features of first-order and three of gray-level co-occurrence matrix (GLCM),thirteen of gray-level size zone matricx (GLSZM)and eleven of gray-level run-length matricx (GLRLM)were obtained.The differences of thirty-one texture features between the two groups were compared.The ROC curves of the features with statistical differences were analyzed.The independent predictors of early enlargement of intracerebral hemorrhage were screened by Logistic multivariate regression model.Results Among the one hundred and eight patients,twenty-eight were positive group and eighty were negative group.Skewness and long run low gray-level emphasis (LRLGE)in positive group were significantly higher than those in negative group (P＜0.05).There was no significant difference in the remaining twenty-nine features between the two groups (P＞0.05).ROC curve analysis showed that the AUC of Skewness,LRLGE and their combined diagnosis were 0.634,0.814 and 0.828,respectively.The independent variables were screened by stepwise regression analysis.The LRLGE (OR＝1.238,95%CI＝1.009－1.51 9,P＜0.05)was selected as the regression model, suggesting that LRLGE was an independent predictor of the early enlargement of intracerebral hemorrhage.Conclusion Texture analysis of CT images is helpful to predict the early enlargement of hypertensive intracerebral hemorrhage,and LRLGE based on GLRLM algorithm can be used as an independent predictor.