Objective:To explore the application of scenario simulation and rapid film reading training in the standardization of cervical vertebra DR examination in radiology department.Methods:Using the method of scene simulation in the examination room to take DR films of cervical vertebra, two senior technicians in charge evaluated and guided the deficiencies of junior technicians from the aspects of patient check, exposure conditions, body position placement, film printing, inspection safety and radiation protection. Every morning, DR images of cervical vertebra were randomly selected and read quickly, and the junior technicians should quickly browse the images within one minute and make quality control evaluation. Then the senior technician in charge pointed out the shortcomings of the evaluation and related improvement methods. After that, the technical specification manual of cervical vertebra DR was compiled based on the deficiencies and problems found by each technician, and 200 patients aged 18-55 years, without abnormal movement and no internal fixation before and after the establishment of standardization were randomly selected in group A (before standardization) and group B (after standardization). The image quality and repetition projection rate of group A and group B before and after the standardization were compared. SPSS 25.0 was used to analyze the data.Results:The image quality score of group B (8.83±0.33) was higher than that of group A (8.45±0.30), and the repetition projection rate of group B (2%) was lower than that of group A (9%), with statistical significance ( P<0.05). Conclusion:Through the training mode of rapid film reading and scenario simulation, the standardization of cervical vertebra DR examination technology suitable for the situation of the department has been established, which effectively solves the problem of abstraction in the technical teaching of radiology department. The standardization establishment plays an important role in standardized training, for which, the technicians can quickly grasp the work process of the department and the corresponding examination technology during participating in the standardization establishment and training process.

Purpose To compare the difference of CT coronary artery imaging quality under highflow oxygen uptake and normal breathing, and to investigate the effect of high flow oxygen uptake on the quality of CT coronary artery imaging.Materials and Methods 132 patients underwent coronary CTA examination using 256-slice CT (Philips), among them 71 patients were supplied with highflow oxygen, and the other 61 were asked to breathe normally. Coronary arteries were post-processed and reconstructed on AW 4.4 workstation. Scanning completion rate, signal to noise ratio (SNR), contrast to noise ratios(CNR) and image quality score ofcoronary segment using these two prospective ECG-gating techniques were compared.Results The scanning completion rate and image quality score of the highflow oxygen uptake group were significantly superior to those of the normal breathing group (P<0.05). However, there was no statistically significant difference of SNR and CNR between the two groups (P>0.05).Conclusion Imaging quality of coronary CTA can be improved using highflow oxygen uptake with reduced patient radiation dose, thus worth being used clinically as a simple and practicable method.

Objective To evaluate the predictive value of T2-fluid attenuated inversion recovery (FLAIR)signal suppression rate for the short arm of chromosome 1 and long arm of chromosome 19 (1p/19q)molecular features in lower-grade gliomas (LGG),and to construct and verify the predictive model based on magnetic resonance imaging (MRI)tumor features and T2-FLAIR signal suppression rate.Methods Clincal and imaging data of the patients with pathologically confirmed supratentorial LGG (WHO grade 2～3)in our medical center from 2017 to 2021 were collected and retrospectively analyzed.According to the results of postoperative molecular pathology,they were divided into 1 p/19q-codeleted (1 p/19q-Codel)and 1 p/19q-noncodeleted (1 p/19q-Noncodel)groups.MRI tumor features were blindly assessed by 2 neuroradiologists.Five circular regions of interest were respectively delineated in the tumor area and the normal-appearing white matter in contralateral semioval center using the hot-spot method in order to calculate the T2-FLAIR signal suppression rate.The differences of clinical features,MRI tumor features and T2-FLAIR signal suppression rate were analyzed between the 2 groups.Univariate and multivariate logistic regression analyses were used to screen independent predictors and constructa predictive model and nomogram.Receiver operating characteristic (ROC)curve,calibration curve and Hosmer-Lemeshow test were applied to assess the model performance,and the model was internally validated by bootstrap method.Results A total of 146 supratentorial LGG patients were enrolled,including 68 being assigned into the 1 p/19q-Codel group and 78 into the 1 p/19q-Noncodel group.The T2-FLAIR signal suppression rate was 0.43 (0.28,0.62)in the 1 p/19q-Noncodel group,which was significantly higher than that in the 1 p/19q-Codel group[0.29 (0.24,0.35),P<0.001].Multivariate logistic regression analysis showed that T2-FLAIR signal suppression rate>0.374 (P<0.001),cortex infiltration (P=0.001) and calcification (P=0.004) were independent predictors for 1 p/19q status.The AUC value of T2-FLAIR signal suppression rate>0.374 in predicting 1 p/19q-Noncodel was 0.720,the sensitivity was 60.26％ and the specificity was 83.82％.DeLong test indicated that T2-FLAIR signal suppression rate>0.374 was more effective than T2-FLAIR mismatch sign in predicting 1 p/19q molecular features (P<0.001).ROC curve analysis suggested that the predictive model established by T2-FLAIR signal suppression rate>0.374 combined with cortex infiltration and calcification had good performance,with an AUC value of 0.808,and the AUC value verified internally by bootstrap method was 0.807.At the same time,the calibration and goodness of fit of the model were good.Conclusion T2-FLAIR signal suppression rate can be used as a quantitative imaging marker to predict 1 p/19q-Noncodel LGG.The predictive model with T2-FLAIR signal suppression rate>0.374 combined with cortex infiltration and calcification can effectively predict 1 p/19q molecular features.

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