Objective To investigate the effects of gemstone energy spectrum CT atomic number method and infrared spec-troscopy for analyzing the composition of urinary calculi and to compare their values in qualitative diagnosis of urinary calculi .Meth-ods Two hundreds and sixty cases of urinary tract stones were performed the gemstone spectrum CT urinary scanning and the stone composition was identified by atomic number method .After removing stone ,the stone composition analyzed by infrared spec-troscopy served as the gold standard .Then the consistency identified by the two methods was analyzed .Results The Kappa consis-tency test results showed that the two kinds of method for identifying stone type had good consistency (Kappa=0 .787 ,P<0 .01) . The paired chi square test results showed that the difference of the two methods for identifying the stone type had no statistical sig-nificance(χ2 =6 .581 ,P=0 .254) .The stone crystal composition types measured by gemstone energy spectrum CT atomic number method were less than those measured by infrared spectroscopy .The precise quantification of the stones with different crystal struc-tures was not as accurate as that of infrared spectroscopy (calcium oxalate monohydrate and calcium oxalate dihydrate ) .Conclusion The two methods for analyzing theurinary stone composition all have clinical significance ,the stone analysis method should be se-lected according to the actual situation .

Objective To analyze the abnormal individual dose monitoring results in 206 medical institutions in a selected region in 2024, and to propose improvement measures. Methods Individuals with monitoring results exceeding the investigation level were subjected to high-dose investigation, and the results were statistically analyzed. Results In 2024, the individual dose monitoring of 206 medical institutions in a selected region showed 1.04% abnormal results. The proportions of abnormal results from primary, secondary, and tertiary medical institutions were 12.22%, 3.33%, and 84.45%, respectively. In analysis of the causes of abnormal results, 52.53% of the cases were due to personal dosimeters left in the radiation workplace, and 20.20% were due to the confusion in wearing personal dosimeters inside and outside the lead apron. In analysis of the occupational distribution of the radiation workers with abnormal monitoring results, interventional radiology and diagnostic radiology accounted for 73.34% and 24.44%, respectively. Statistical analysis of the dose range showed that doses in the ranges of 1.25-2.0 mSv and 2.0-5.0 mSv accounted for 42.22% and 33.33%, respectively. In the report of abnormal monitoring results, the proportions of reporting notional dose and reporting measured results accounted for 88.89% and 11.11%, respectively. Among institutions with consecutive abnormal results, primary, secondary, and tertiary medical institutions accounted for 15.39%, 7.69%, and 76.92%, respectively. Conclusion The level of the hospital, occupational type, the perceived importance of the hospital to the management of radiation protection, and the perceived importance and compliance of the radiation workers with the individual dose monitoring are potential causes of abnormal results. It is recommended that employers should enhance radiation protection training for their radiation workers to ensure proper wearing and storage of dosimeters, and progressively improve the standardization and effectiveness of individual dose monitoring practice.

OBJECTIVE: To screen the key genes related to the prognosis of lung adenocarcinoma through big data analysis and explore their clinical value and potential mechanism. METHODS: We analyzed GSE18842, GSE27262, and GSE33532 gene expression profile data obtained from the Gene Expression Omnibus (GEO). Bioinformatics methods were used to screen the differentially expressed genes in lung adenocarcinoma tissues and KEGG and GO enrichment analysis was performed, followed by PPI interaction network analysis, module analysis, differential expression analysis, and prognosis analysis. The expressions of MAD2L1 and TTK by immunohistochemistry were verified in 35 non-small cell lung cancer specimens and paired adjacent tissues. RESULTS: We identified a total of 256 genes that showed significant differential expressions in lung adenocarcinoma, including 66 up-regulated and 190 down-regulated genes. Thirty-two up-regulated core genes were screened by functional analysis, and among them 29 were shown to significantly correlate with a poor prognosis of patients with lung adenocarcinoma. All the 29 genes were highly expressed in lung adenocarcinoma tissues compared with normal lung tissues and were mainly enriched in cell cycle pathways. Seven of these key genes were closely related to the spindle assembly checkpoint (SAC) complex and responsible for regulating cell behavior in G2/M phase. We selected SAC-related proteins TTK and MAD2L1 to test their expressions in clinical tumor samples, and detected their overexpression in lung adenocarcinoma tissues as compared with the adjacent tissues. CONCLUSIONS Seven SAC complex-related genes, including TTK and MAD2L1, are overexpressed in lung adenocarcinoma tissues with close correlation with the prognosis of the patients.
Adenocarcinoma of Lung/genetics* ; Big Data ; Cell Cycle Proteins/genetics* ; Computational Biology ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Lung Neoplasms/genetics* ; M Phase Cell Cycle Checkpoints ; Mad2 Proteins/genetics* ; Protein-Serine-Threonine Kinases/genetics* ; Protein-Tyrosine Kinases/genetics*

Objective: To compare the calibration result of standard X-ray RQR radiation field between SSDL (NIRP) and CEA LIST LNHB(France), and to explore the feasibility of calibrating H_p(3) in standard X-ray RQR radiation field of SSDL(NIRP). Methods: Using a column model with a diameter and high of 20 cm, TLD was calibrated in SSDL (NIRP) and CEA LIST LNHB (France) to measure the personal dose equivalent eye lens dose H_p(3), X-ray RQR radiation field included RQR4(60 kV), RQR7(90 kV), RQR9(120 kV), with energy response, angle response and linear response. Results: In terms of energy response, the calibration results of TLD in both SSDL (NIRP) and CEA LIST LNHB (France) were in good agreement. The difference between exposure value and response value was less than 10%. In terms of angle response, the calibration result of TLD in CEA LIST LNHB (France) was better in SSDL(NIRP). The difference between exposure value and response value in CEA LIST LNHB (France) was less than 6%, while the difference between exposure value and response value in SSDL(NIRP) was more than 10% at angle of 20°. In terms of linear response, both calibration result of SSDL (NIRP) and CEA LIST LNHB (France) were in good agreement. Conclusions The standard X-ray RQR field in SSDL (NIRP) can be used for the calibration of H_p(3).

Objective To compare H_p(3) calibration with a homemade (A) thermoluminescent dosimeter (TLD) and an imported (B) TLD in a standard X-ray RQR radiation field, to explore the different responses of A and B, and to provide foundation for the calibration of H_p(3). Methods A column mode was selected. H_p(3) calibration was performed using A and B in a standard X-ray RQR radiation field in the Secondary Standard Dosimetry Laboratory, National Institute for Radiological Protection, China Center for Disease Control and Prevention. Angle response, energy response, and linear response were calibrated with RQR4 (60 kV), RQR7 (90 kV), and RQR9 (120 kV), respectively. Results In terms of angle response, the calibration results of A were relatively high, while the calibration results of B were relatively low. In terms of energy response, the calibration results showed a similar pattern to angle response. In terms of linear response, the calibration results of both A and B were satisfactory. Conclusion Both A and B can be used for normal calibration of H_p(3) in a standard X-ray RQR radiation field. However, in actual monitoring, attention should be paid to the energy and angle response values of TLDs.