Objective To analyse the CT radiation dose statistically using the standardized radiation-dose-structured report (RDSR) of digital imaging and communications in medicine (DICOM). Methods Using the self-designed software, 1230 RDSR files about CT examination were obtained searching on the picture archiving and communication system ( PACS ) . The patient dose database was established by combination of the extracted relevant information with the scanned sites. The patients were divided into adult group (over 10 years) and child groups (0-1 year, 1-5 years, 5-10 years) according to the age. The average volume CT dose index ( CTDIvol ) and dose length product ( DLP) of all scans were recorded respectively, and then the effective dose ( E) was estimated. The DLP value at 75% quantile was calculated and compared with the diagnostic reference level ( DRL) . Results In adult group, CTDIvol and DLP values were moderately and positively correlated ( r=0?41 ) , the highest E was observed in upper abdominal enhanced scan, and the DLP value at 75% quantile was 60% higher than DRL. In child group, their CTDIvol in group of 5-10 years was greater than that in groups of 0-1 and 1-5 years ( t=2?42, 2?04, P<0?05);the DLP value was slightly and positively correlated with the age (r=0?16), while E was moderately and negatively correlated with the age ( r = -0?48 ) . Conclusions It is a simple and efficient method to use RDSR to obtain the radiation doses of patients. With the popularization of the new equipment and the application of regionalized medical platform, RDSR would become the main tool for the dosimetric level surveying and individual dose recording.

Objective To study the dosimetry parameters of 125I seed source (type Sinko BT-125-1) with thermoluminescent dosimeter (TLD) in the phantom.Methods The new type of phantom was modified to suit to measurement of a common type of 125I seed source.The AAPM TG43 protocol recommended measurements of dose-rate constant (Λ),radial dose function (gL (r)),and anisotropy function (F (r,θ)) have been performed in the phantom with TLD.Results The Λ was 0.928 cGyh-1 U-1.The gL(r) was determined at different radial distances r ranging from 1.0 to 10.0 cm with an interval of 1.0 cm ; and F (r,θ) at angles from 0° to 90° in 10° increments.The gL (r) of 125I seed source showed a difference of 9.6％ at the most in comparison to the corresponding values of 125I seed source (type Amersham 6711).The difference in F(2 cm,θ) of 125I seed source and Amersham 6711 was up to 10.2％ near the source end.With the phantom the combined standard uncertainty in the whole measurement was less than 6.0％.Conclusions The experimental results exhibit fairly small measurement uncertainties and good self-consistency.It's feasible to measure the dosimetry characters of permanent implant seeds in the modified phantom.

Objective To compare and study the two kinds of quality control methodologies related to intelligent quality management system ( iQM) and traditional quality control , and the quality control performance of iQM equivalent to traditional quality control were evaluated , ensuring the accuracy of the results of blood gas testing.Methods Beijing Chaoyang Hospital of Capital Medical University , Beijing Tiantan Hospital of Capital Medical University , Shanghai Longhua Hospital of Shanghai University of Chinese Medicine, and Sichuan Provincial People′s Hospital, these 4 medical institutions were selected to implement this study.During the period from June 2016 to December 2016, in the routine detection of total 3 712 specimen, the iQM and traditional quality control modes were used simultaneously to calculate the mean values of all blood gas parameters quality controls , SD, CV (%) and Sigma values, to evaluate the quality control performance and difference of the two quality control modes .Results During the process of testing blood gas samples from 3 712 specimen in 4 hospitals, iQM process control solution ( PCS) A, B, C ran 1 089, 7 678 and 154 quality control samples respectively , and 732 external quality control samples were run by traditional quality control mode .Considering the most sensitive parameters of blood gas testing pO 2, iQM PCS A, B, C′s Sigma value are higher than 8, however, the traditional quality control′s Sigma value are less than 6; For parameters pCO2, pO2and Na+, there exists significant difference between two quality control methods (P＝0.004 8,P＝0.000 1,P＝0.004 4,P＜0.01), other parameters pH, K+, Ca ++, Glu, Lac and Hct, there exists no significant difference between two quality control methods (P＝0.250 6, P＝0.062 3,P＝0.034 0,P＝0.346 9,P＝0.186 3,P＝0.823 1,P＞0.01).Totally 22 errors detected by iQM, includes 14 micro-clots and 8 interferences samples, which were not detected by traditional quality control .Conclusions The error in blood gas analysis mainly comes from the pre-analytical phase.iQM enhanced specimen inspection capabilities and make up for the inability of traditional quality control to monitor the quality of specimens , enabling full-scale, real-time, and dynamic monitoring of each specimen , powerful error detection capabilities , and automatic error correction capabilities . Besides, automatic documentation saves staff much time.The system can effectively ensure the accuracy of blood gas test results, meet the quality requirements of related laws and regulations and related industry standards , and also can meet the clinical intended use , providing new ideas for POCT quality management and improvement.