Objective To investigate the effects of numerous re-planning strategies on the anatomic and dosimetric outcomes of target volume and organs at risk (OARs) in patients with head and neck cancer receiving fractionated radiotherapy.Methods From 2015 to 2016,28 patients with head and neck cancer were enrolled in this study with Shandong Cancer Hospital,consisting of 19 patients with nasopharyngeal carcinoma, 4 patients with laryngocarcinoma, and 5 patients with carcinoma of the maxillary sinus.All of them received conventionally fractionated radiotherapy.Each patient had six weekly cone-beam CT (CBCT) scans, which were performed on the first day of every week, to obtain reference images.A virtual CT image was generated by registration of planning CT and each weekly CBCT image.The four re-planning strategies were used for the reconstruction of re-planned dose, while the initial planning was used as a reference.The weekly doses calculated using virtual CT were summed together to obtain the actual dose.The actual and initial planned doses were evaluated.The nonparametric Friedman test was used to evaluate the differences between multiple groups, and the differences between any two groups were analyzed by paired t test.Results The sizes of planning target volume, clinical target volume, and left/right parotid glands (PGs) changed significantly within the six weeks (P=0.041, 0.046, 0.024, and 0.017, respectively).For these four re-planning strategies, there were significant differences between the actual dose and the initial planned dose to the PGs (all P<0.05), with average values decreased by 5.02%, 11.17%, 12.08%, and 13.19%, respectively, compared with that in the reference strategy.Conclusions Re-planning during treatment course could ensure the sparing of OARs and allow for sufficient dose to the target volume.The higher the number of re-planning strategies, the more the actual dose is close to the initial planed dose;the efficiency of two re-planning strategies is the highest.

OBJECTIVE:To establish a method for simultaneous determination of 10 flavonoids in Astragalus membranaceus. METHODS:HPLC method was adopted. The determination was performed on Agilent SB-C18 column with mobile phase consisted of acetonitrile-0.3% formic acid (gradient elution) at the flow rate of 1.0 mL/min. The detection wavelength was set at 254 nm, and the column temperature was 35 ℃. The sample size was 10 μL. RESULTS:The linear ranges of calycosin-7-O-glucoside,iso-quercitrin,genistin,ononin,calycosin,quercetin,genistein,kaempferol,isorhamnetin and formononetion were 0.03029-1.5145μg (r=0.9994),0.01500-0.7500 μg(r=0.9995),0.00739-0.3695 μg(r=0.9991),0.12011-6.0055 μg(r=0.9998),0.03836-1.918 μg (r=0.9999),0.02989-1.4945 μg(r=0.9995),0.00704-0.352 μg(r=0.9994),0.01683-0.8415 μg(r=0.9995),0.00454-0.227μg(r=0.9999),0.01336-0.668 μg(r=0.9999),respectively. RSDs of precision,stability and reproducibility tests were all lower than 2.0% . The recoveries were 99.55% -100.45%(RSD=0.36% ,n=6) ,99.34% -101.00%(RSD=0.59% ,n=6) , 98.05%-100.36%(RSD=1.27%,n=6),99.73%-100.13%(RSD=0.18%,n=6),99.70%-100.30%(RSD=0.22%,n=6), 99.67%-103.27%(RSD=1.37%,n=6),98.13%-104.41%(RSD=2.37%,n=6),96.35%-100.06%(RSD=1.46%,n=6), 99.47%-101.13%(RSD=0.60%,n=6),99.70%-100.06%(RSD=0.15%,n=6),respectively. CONCLUSIONS:This method is convenient,sensitive,stable and reproducible,can be used for simultaneous determination of 10 flavonoids in A. membranaceus.

OBJECTIVE： To analyze and predict potential pharmacological effects and mechanism of flavonoids from Glycyrrhiza uralensis. METHODS： By the means of network pharmacology， according to TCM integrative pharmacology platform （TCMSP）， using oral bioavailability （OB）＞30％ and drug-likeness （DL）＞0.18 of compound as reference， flavonoids compound of G. uralensis were screened. The potential targets of flavonoids were predicted with pharmacophore matching and PharmMapper date base. DAVID V 6.8 analysis tool was used for KEGG signaling pathway analysis and GO biological process enrichment analysis （using P＜0.05 as judgement standard） of target protein. A flavonoids-targets-signaling pathways network was built through Cytoscape 3.5.1 software. RESULTS： A total of 19 flavonoids compounds （such as liquiritin， isoliquiritin and liquiritigenin， etc.） were screened， involving 78 target proteins as cellular retinoic acid-binding protein 2 and neprilysin （188 times in total）， 40 signaling pathways （among them， 8 pathways related to cancer， 8 pathways related to endocrine system， 6 pathways related to signal transduction， 5 pathways related to infectious diseases and 3 pathways related to metabolism） as insulin signaling pathway， PI3K-Akt and so on. The flavonoids-targets-signaling pathways network model showed that flavonoids compounds of G. uralensis could act on different metabolic pathways through multiple targets. CONCLUSIONS： The flavonoids of G. uralensis have therapeutic effect on diseases of cancer， endocrine system， infectious diseases， metabolism and so on. It may have potential anti-parkinson’s effect.