Objective To analyze the health effects of long-term occupational exposure to ionizing radiation on radiation workers in a nuclear power plant, and to provide a scientific basis for their occupational health monitoring. Methods In 2023, 183 radiation workers in a nuclear power plant were subjected to the analysis of blood cell parameters such as mean red blood cell count, white blood cell count (WBC), lymphocyte count, and hemoglobin count, thyroid function indicators such as serum triiodothyronine, thyroxine, and thyrotropin, as well as the chromosomal aberration rate and micronucleus rate of the lymphocytes in the peripheral blood. Results The blood cell parameters, thyroid function indicators, chromosomal aberration rate, and micronucleus rate of these radiation workers in the nuclear power plant were within normal reference ranges. Comparison among radiation workers with different ages showed statistically significant differences in triiodothyronine (H = 6.98, P < 0.05) and micronucleus rate (H = 48.44, P < 0.05). Among the three groups of radiation workers with different working years, WBC was significantly different (χ² = 3.87, P < 0.05), with the lowest WBC observed in radiation workers with ≥ 20 years of service. Thyroxine (χ² = 4.01, P < 0.05) and micronucleus rate (H = 40.95, P < 0.05) also varied significantly among these three groups. Conclusion Thyroid triiodothyronine level and micronucleus rate were affected by age, while WBC, thyroid thyroxine level, and micronucleus rate were related to working years. Targeted health management should be carried out for radiation workers in nuclear power plants to improve the awareness of radiation protection and continuously enhance their health status.

This article systematically reviews the role and relationship of heme oxygenase （HO） in the pathogenesis of metabolic associated fatty liver disease （MAFLD） and discusses the biological function of HO， its expression in the liver， its association with lipid metabolism， and its regulatory role in inflammatory reaction and oxidative stress， in order to reveal the potential therapeutic targets and mechanism of HO in MAFLD and provide new perspectives and directions for future treatment strategies.

Objective To compare the results obtained from an artificial intelligence (AI)-based chromosome image scanning and processing system, the Metafer 4 chromosome scanning and analysis system, and manual analysis of dicentric chromosomes, and to explore the feasibility of applying AI technology for dicentric chromosome detection and biological dose estimation. Methods Healthy human elbow vein blood was collected and subjected to ⁶⁰Co in vitro irradiation. Chromosome samples were prepared using conventional methods. The slides were scanned and automatically analyzed using the AI-based system and the Metafer 4 system. The results were manually analyzed and confirmed. Results The number of cells was comparable between the AI-based system and the Metafer 4 system. However, the scanning speed of the AI-based system was 4.5 seconds per image, which was significantly faster than the 7.3 seconds per image of the Metafer 4 system (t = −6.19, P < 0.05). At a confidence level of 0.7, the AI-based system demonstrated a true positive rate of 96.7% and a false positive rate of 6.5%, which were significantly better than the true positive rate (45.4%-54.5%) and false positive rate (22.2%-29.2%) of the Metafer 4 system (all P < 0.05). In the biological dose estimation, the deviation of the dose-response curve was ≤ ± 10% in the automatic analysis using the Metafer 4 system. Due to the use of the manual dose-response curve, the deviation of the AI-based System was ≤ ± 15%. However, there were no significant differences in the estimated doses when the two systems were compared with the manual analysis (P > 0.05). Conclusion Both the AI-based chromosome image scanning and processing system and the Metafer 4 chromosome scanning and analysis system greatly improved the analysis speed of chromosome aberrations. However, the scanning speed, true positive rate, and false positive rate of the AI-based system were superior to those of the Metafer 4 system. Therefore, the AI-based system is more suitable for rapid and high-throughput biological dose estimation in large-scale radiation accidents.

Objective:To verify and calibrate the CT modeling curves of three CT devices in RayStation proton treatment planning system (TPS).Methods:CT-mass density (CT-MD) curves were established by CT Hounsfield units of different tissue substitute materials obtained by scanning the model with CT equipment. CT-stopping power (CT-SP) curves were established by calculation based on the chemical composition of various human tissues. The equivalent water thickness of tissue substitute modules was calculated with different CT modeling curves in TPS. The actual equivalent water thickness of various modules was measured by a Bragg peak detector, and compared with the calculated values of TPS to verify the accuracy of different CT models.Results:The differences of CT modeling curves were significantly different under different tube voltage scanning protocols. Compared with CT-MD curves, CT-SP curves based on the stoichiometric calibration were more suitable for proton dose calculation. However, the values of stopping power corresponding to high CT values still needed to be optimized, and the calculation error after calibration was less than 3%.Conclusion:The method of verifying and calibrating CT unit curves of proton TPS is described, proving that the CT-SP curves after stoichiometric calculation are more suitable for proton dose calculation.

Objective:To explore the application value of optical surface monitoring system (OSMS) volume rendering technique (VRT) body surface imaging in intensity-modulated radiotherapy for thoracic tumors.Methods:A retrospective case series study was performed. The clinical data of 65 patients with thoracic tumors treated with intensity-modulated radiotherapy at Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from September 2021 to October 2022 were retrospectively analyzed. In the first treatment,after cone-beam computed tomography (CBCT) scan and correction, VRT body surface images were obtained by using OSMS. In subsequent treatment, the VRT image was used as the benchmark and the 6-dimensional bed was automatically positioned to record the 6-dimensional bed positioning value. The CBCT scan was performed to record the translation and rotation errors of left-right direction (X-axis), head-foot direction (Y-axis) and front-rear direction (Z-axis). After the calibration of the 6-dimensional automatic bed shifting, the new real-time deltas (RTD) value of digital imaging and communications in medicine (DICOM) body surface image was recorded, and the new VRT image was obtained. CBCT registration error value was defined as VRT image-guided setup error. The sum of CBCT registration error value and moving bed movement value was defined as the body surface marker line-guided setup error. The sum of CBCT registration error value and the recorded DICOM image RTD value was defined as the theoretical error of DICOM image-guided setup. The advantages and disadvantages of VRT image, body surface marker line and DICOM image-guided setup were compared and analyzed.Results:There were 42 males and 23 females in 65 patients with thoracic tumors, and the age [ M ( Q1, Q3)] was 58 years (51 years, 64 years). The linear errors [ M ( Q1, Q3)] of VRT image-guided setup in X, Y and Z axes were 0.6 mm (0.3 mm, 1.2 mm), 1.2 mm (0.5 mm, 2.4 mm) and 1.1 mm (0.5 mm, 1.9 mm); and the rotational errors were 0.4° (0.1°, 0.7°), 0.4° (0.1°, 0.6°) and 0.4° (0.2°, 0.6°). The linear errors of the marker line-guided setup were 1.6 mm (0.9 mm, 2.6 mm), 2.2 mm (1.1 mm, 3.8 mm) and 1.0 mm (0.4 mm, 1.8 mm); and the rotational errors were 0.7° (0.3°, 1.2°), 0.5° (0.2°, 0.8°) and 0.5° (0.2°, 0.8°). The linear errors of the DICOM image-guided positioning were 1.1 mm (0.6 mm, 1.9 mm), 2.1 mm (1.0 mm, 3.4 mm) and 1.3 mm (0.6 mm, 3.1 mm), and the rotational errors were 0.6° (0.2°, 1.1°), 0.7° (0.3°, 1.1°), 0.7° (0.2°, 1.1°). Compared with the marker line-guided setup, except for Z-axis linear error ( P = 0.218), the VRT-guided setup errors were low (all P < 0.001). Compared with the DICOM imaging-guided setup, the VRT image-guided setup linear error and rotational error in X-, Y- and Z-axis were low (all P < 0.01). Conclusions:VRT image-guided setup is superior to traditional body surface marker setup and DICOM imaging setup; OSMS VRT body surface imaging can effectively improve the setup accuracy and stability of intensity-modulated radiotherapy for thoracic tumors, and reduce the setup errors.

To investigate the differences in postoperative short-term complications and long-term prognosis of pancreatic cancer(PC) patients after total pancreatectomy(TP) and pancreaticoduodenectomy(PD).

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective To compare the differences in efficacy and safety between transarterial chemoembolization(TACE)com-bined with lenvatinib and camrelizumab(triple therapy)and TACE combined with lenvatinib(double therapy)in intermediate or advanced stage hepatocellular carcinoma(HCC).Methods The clinical data of 145 patients who were diagnosed with HCC and received triple therapy or double therapy were retrospectively collected.The differences of objective response rate(ORR),disease control rate(DCR),median progression-free survival(mPFS),median overall survival(mOS),and adverse events were compared between the two groups.Results The ORR and DCR in 1,3 and 6 months of the triple therapy group were higher than those of the double therapy group,and the differences were statistically significant in 3 and 6 months.The mPFS and mOS of the triple therapy group were higher than those of the double therapy group,and the differences were statistically significant.The Cox proportional hazards model results showed that the therapy methods,maximum tumor diameter and alpha-fetoprotein(AFP)were independent risk factors of progres-sion-free survival(PFS)and overall survival(OS).Besides,Barcelona Clinic Liver Cancer(BCLC)staging was independent risk fac-tor of OS.In terms of adverse events,the incidence of reactive cutaneous capillary endothelial proliferation(RCCEP)and hypothy-roidism in the triple therapy group were higher than those in the double therapy group,and the differences were statistically signifi-cant.Conclusion Compared with double therapy,triple therapy can significantly improve the efficacy of intermediate or advanced stage HCC,prolong patients'PFS and OS,and its safety can be well controlled.

Bone defects caused by different causes such as trauma, severe bone infection and other factors are common in clinic and difficult to treat. Usually, bone substitutes are required for repair. Current bone grafting materials used clinically include autologous bones, allogeneic bones, xenografts, and synthetic materials, etc. Other than autologous bones, the major hurdles of rest bone grafts have various degrees of poor biological activity and lack of active ingredients to provide osteogenic impetus. Bone marrow contains various components such as stem cells and bioactive factors, which are contributive to osteogenesis. In response, the technique of bone marrow enrichment, based on the efficient utilization of components within bone marrow, has been risen, aiming to extract osteogenic cells and factors from bone marrow of patients and incorporate them into 3D scaffolds for fabricating bone grafts with high osteoinductivity. However, the scientific guidance and application specification are lacked with regard to the clinical scope, approach, safety and effectiveness. In this context, under the organization of Chinese Orthopedic Association, the Expert consensus for the clinical application of autologous bone marrow enrichment technique for bone repair ( version 2023) is formulated based on the evidence-based medicine. The consensus covers the topics of the characteristics, range of application, safety and application notes of the technique of autologous bone marrow enrichment and proposes corresponding recommendations, hoping to provide better guidance for clinical practice of the technique.