ABSTRACT
BACKGROUND@#Pre-operative non-invasive histological evaluation of hepatocellular carcinoma (HCC) remains a challenge. Tumor perfusion is significantly associated with the development and aggressiveness of HCC. The purpose of the study was to evaluate the clinical value of quantitative liver perfusion parameters and corresponding histogram parameters derived from traditional triphasic enhanced computed tomography (CT) scans in predicting histological grade of HCC.@*METHODS@#Totally, 52 patients with HCC were enrolled in this retrospective study and underwent triple-phase enhanced CT imaging. The blood perfusion parameters were derived from triple-phase CT scans. The relationship of liver perfusion parameters and corresponding histogram parameters with the histological grade of HCC was analyzed. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal ability of the parameters to predict the tumor histological grade.@*RESULTS@#The variance of arterial enhancement fraction (AEF) was significantly higher in HCCs without poorly differentiated components (NP-HCCs) than in HCCs with poorly differentiated components (P-HCCs). The difference in hepatic blood flow (HF) between total tumor and total liver flow (ΔHF = HFtumor - HFliver) and relative flow (rHF = ΔHF/HFliver) were significantly higher in NP-HCCs than in P-HCCs. The difference in portal vein blood supply perfusion (PVP) between tumor and liver tissue (ΔPVP) and the ΔPVP/liver PVP ratio (rPVP) were significantly higher in patients with NP-HCCs than in patients with P-HCCs. The area under ROC (AUC) of ΔPVP and rPVP were both 0.697 with a high sensitivity of 84.2% and specificity of only 56.2%. The ΔHF and rHF had a higher specificity of 87.5% with an AUC of 0.681 and 0.673, respectively. The combination of rHF and rPVP showed the highest AUC of 0.732 with a sensitivity of 57.9% and specificity of 93.8%. The combined parameter of ΔHF and rPVP, rHF and rPVP had the highest positive predictive value of 0.903, and that of rPVP and ΔPVP had the highest negative predictive value of 0.781.@*CONCLUSION@#Liver perfusion parameters and corresponding histogram parameters (including ΔHF, rHF, ΔPVP, rPVP, and AEFvariance) in patients with HCC derived from traditional triphasic CT scans may be helpful to non-invasively and pre-operatively predict the degree of the differentiation of HCC.
Subject(s)
Humans , Carcinoma, Hepatocellular/diagnostic imaging , Contrast Media , Liver Neoplasms/diagnostic imaging , Perfusion , Retrospective Studies , Sensitivity and Specificity , Tomography, X-Ray ComputedABSTRACT
The electroporation method was performed to transfer plasmid DNA of PBI-1300 carrying GFP gene into Agrobacterium rhizogenes C₅₈C₁ strains. Mediated by A. rhizogenes C₅₈C₁, the GFP gene were transformed into Erigeron breviscapus aseptic leaves by leaf disc method, then the hairy roots were induced and the infected hairy roots were screened by hygromycin resistance. The chromosomal DNA of the hairy root was used as the templates for the PCR amplification with the GFP-specific primers and then the expected amplified DNA bands appeared, the green fluorescent of GFP in the cut hairy roots was observed by two-photon microscope. These results indicated that GFP gene was integrated into the genome of E. breviscapus and was expressed stably. This study laid the groundwork for foreign gene high-efficiency expression inthe genetic transformation system for hairy root culture of E. breviscapus.
ABSTRACT
In this study, ecological factors, occurrence records, the essential oil components content were used to predict the potential geographical distribution and quality division of Mentha haplocalyx in China based on the MaxEnt modeling and geographic information system(GIS). The AUC of ROC curve was above 0.950,indicating that the predictive results with the maximum model were highly precise. The results showed that the main environmental factors determining the potential distribution were annual average precipitation (the contribution rate, 45.87%), mean temperature of wettest quarter (11.92%), mean temperature of warmest quarter (7.84%), average monthly precipitation of May (6.80%), standard deviation of seasonal temperature variation (4.42%), mean temperature of the coldest quarter (3.47%) and altitude (2.92%). The environmental variables in the highly potential areas were determined as annual average precipitation around [530,1 465] mm, mean temperature of wettest quarter around [24.5,29] ℃, mean temperature of the warmest quarter around [25.5,29] ℃, average monthly precipitation of May around [67,133] mm, standard deviation of temperature seasonal change around [8 333,9 643], mean temperature of the coldest quarter around [1.7,8.3] ℃ and the altitude around [0,165] mm. The best quality distribution of M. haplocalyx was mainly located in Jiangsu, Anhui, Shandong, Zhejiang and Heilongjiang. The zoning results basically coincide with the actual situation. The quality division of M. haplocalyx can be used for providing a scientific basis for selection of artificial planting base and guidance of its production.