Background Polycyclic aromatic hydrocarbons (PAHs) are widely known atmospheric pollutants, which can cause serious harm to human body and ecological environment. Objective To analyze the concentrations and sources of PAHs in atmospheric PM_2.5 in Zhifu District and Longkou City during the heating period in Yantai. Methods Two monitoring sites in Zhifu District and Longkou City of Yantai were selected, and PM_2.5 sample collection was carried out from April 2023 to March 2024. Gas chromatography-mass spectrometry was applied to analyze the concentrations of PAHs in atmospheric PM_2.5 during the heating period (from November 2023 to March 2024) and the non-heating period (from April to October 2023). The concentrations of PAHs in the two periods were compared and the sources of PAHs during the heating period were analyzed by characteristic ratio method. Results During the heating period, the total concentration ranges of PAHs in atmospheric PM_2.5 at the monitoring sites in Zhifu District and Longkou City of Yantai were (1.59-23.70) ng·m⁻³ and (2.08-149.72) ng·m⁻³ respectively, and the medians (M) and the 25th and 75th percentiles (P₂₅, P₇₅) were 4.99 (2.61, 8.09) ng·m⁻³ and 15.46 (8.15, 29.05) ng·m⁻³ respectively. The PAHs concentrations in Longkou City were significantly higher than those in Zhifu District in all months (P<0.05). The highest median total concentrations of PAHs in both sites were reported in January (8.14 ng·m⁻³ and 81.56 ng·m⁻³ respectively). In the non-heating period, the M (P₂₅, P₇₅) of the total PAHs concentrations at the two sites were 1.59 (1.59, 2.78) ng·m⁻³ and 4.11 (2.94, 7.97) ng·m⁻³ respectively, much lower than those in the heating period (P<0.01). The order of composition of PAHs by ring number in PM_2.5 at both sites was 4-ring> 5-ring> 6-ring, with the 4-ring contributing the largest proportion (65.33% and 46.39% respectively). Fluoranthene had the highest concentration among PAHs at both sites, with concentrations M (P₂₅, P₇₅) of 1.29 (0.51, 1.78) ng·m⁻³ and 2.32 (1.30, 3.82) ng·m⁻³ respectively. The characteristic ratios of fluoranthene/(fluoranthene + pyrene), fluoranthene/pyrene, benzo[a]anthracene/(benzo[a]anthracene + chrysene), pyrene/benzo[a]pyrene, benzo[a]pyrene/(benzo[a]pyrene + chrysene), benzo[a]pyrene/benzo[g,h,i]pyrene, and indeno[1,2,3-c,d]pyrene/(indeno[1,2,3-c,d]pyrene + benzo[g,h,i]pyrene) in Zhifu District were 0.62, 1.65, 0.41, 4.48, 0.50, 0.93 and 0.47 respectively, and those in Longkou were 0.57, 1.35, 0.40, 2.89, 0.29, 0.79 and 0.47 respectively. The results showed that PAHs pollutants were generated by combination of coal combustion, vehicle exhaust emissions and gasoline combustion. Conclusion During the heating period in Yantai area, the total concentration of PAHs in atmospheric PM_2.5 is significantly higher than that in the non-heating period. Among them, during the heating period, the pollution level in Longkou City is significantly higher than that in Zhifu District. The local PAHs may be sourced from mixed pollution, and the main sources include gasoline, and coal combustion and vehicle exhaust emissions.

Objective To explore the risk factors of apathy and correlations with cognitive function in patients with hypertension combined with cerebral small vessel disease(CSVD).Methods Totally 141 patients with hypertension combined with CSVD were prospectively enrolled and were divided into apathy group(n=43)and non-apathy group(n= 98)according to neuropsychiatric inventory-apathy scale(NPI-Apathy)scores.The general data,imaging marker scores and total imaging burden scores were compared between groups.In hypertension combined with CSVD patients,multivariate logistic regression analysis was performed to screen the independent risk factors of apathy,and Spearman correlation analysis was also performed to observe the correlation of apathy and cognitive function.Results The patients'age,high density lipoprotein cholesterol(HDL-C),Fazekas scores of lateral periventricular white matter hyper-intensity(WMH),cerebral microbleed of depth/infratentorial and total imaging burden scores of apathy group were all higher,while mini-mental state examination(MMSE)and Montreal cognitive assessment(MoCA)scores were both lower than those of non-apathy group(all P＜0.05).HDL-C and Fazekas scores of lateral periventricular WMH were both independent risk factors for apathy(both P＜0.05),while NPI-Apathy scores were moderately negatively correlated with cognitive function in patients with hypertension combined with CSVD(r=-0.543,-0.484,both P＜0.001).Conclusion HDL-C and Fazekas scores of lateral periventricular WMH were both independent risk factors for apathy in patients with hypertension combined with CSVD.The more severe the apathy,the lower the cognitive function.

The accurate assessment of burn injuries is complex and difficult. The emergence of some new skin imaging techniques, such as hyperspectral imaging, unilateral magnetic resonance imaging, laser Doppler perfusion imaging, etc., has made great progress in research on burn injury assessment. With the continuous progress of imaging technology and medical imaging, medical imaging technologies such as digital radiography, computed tomography, magnetic resonance imaging, and ultrasonography, and so on, have played an important role in burn injury assessment. However, there are still relatively few research reports on burn injury imaging, which may be due to the fact that the imaging techniques and diagnostic experience used for burn injury assessment are not yet fully popular in some medical institutions, and the imaging manifestations related to burns are complex and lack of specificity. This article mainly reviews the application research progress of various imaging techniques in the assessment of burn injury in recent years, aiming to explore the application value of various imaging techniques in burn injury assessment.

Cerebrovascular disease is a kind of diseases in which cerebral vessels were damaged by various causes,resulting in transient or permanent dysfunction of brain tissue.Deep medullary veins are important intracranial draining veins,which impact venous return of deep brain parenchyma and play an important role in assessing the severity of cerebrovascular diseases and guiding treatment strategies.The research progresses of MRI for evaluating deep medullary vein related cerebrovascular diseases were reviewed in this article.

Objective:To construct a model for predicting early recurrence of hepatocellular carcinoma (HCC) patients after radiofrequency ablation by different machine learning models based on multimodal MRI and clinical indicators, and to evaluate the predictive efficacy of the model.Methods:The data of patients with HCC who underwent radiofrequency ablation in Fourth Medical Center of Chinese PLA General Hospital and the First Medical Center of Chinese PLA General Hospital from January 2015 to December 2021 were retrospectively analyzed. A total of 169 patients with HCC were enrolled, including 152 males and 17 females, aged (57.2±9.2) years. The training set ( n=135) and the test set ( n=34) were randomly divided according to 8∶2. There were 49 cases recurrence in training set and 12 cases recurrence in test set. Based on the training set, the clinical influencing factors of early recurrence in patients with HCC after radiofrequency ablation were screened by univariated and multivariate logistic analysis, and the imaging features were sequentially screened by variance threshold method, select K-best and LASSO regression. Support vector machine (SVM), logistic regression and random forest (RFOREST) were used to construct the prediction models of early postoperative recurrence with simple imagomics alone or combined clinical features, respectively, and the receiver operating characteristic (ROC) curve was used to evaluate the prediction efficiency of the models. Results:Multivariate logistic regression analysis showed that preoperative alpha-fetoprotein >20 μg/L, platelet count >140×10 9 and tumor location were the influential factors for early recurrence of HCC patients after radiofrequency ablation (all P<0.05). Through variance threshold analysis, select K-best and LASSO regression, 16 optimal image omics features were selected. SVM, logistic regression and RFOREST were used to construct a simple imaging omics model for predicting early recurrence of HCC patients after radiofrequency ablation. The areas under ROC curve of the test set were 0.826, 0.830 and 0.826, respectively. And the areas under ROC curve of the constructed imagomics combined clinical model of test set were 0.830, 0.830 and 0.909, respectively. The area under ROC curve of RFOREST in the test set was better than that of SVM and logistic regression ( Z=2.19, 3.98, P=0.008, 0.008). Conclusion:The combined model constructed by SVM, logistic regression and RFOREST based on clinical indicators and image omics features is effective in predicting the early recurrence of patients with HCC after radiofrequency ablation, and the model constructed by RFOREST is the best.

Objective:To evaluate the accuracy of an artificial intelligence (AI) model in measuring key angles on pelvic radiographs of the hip and assess its effectiveness in diagnosing developmental dysplasia of the hip (DDH) and borderline developmental dysplasia of the hip (BDDH).Methods:A retrospective analysis was conducted using anteroposterior pelvic X-ray films from 1,029 patients with suspected DDH. The data were collected from the Department of Radiology, Fourth Medical Center of the Chinese PLA General Hospital. Among the patients, 273 were male, and 756 were female, with an average age of 57.01 ± 18.16 years (range, 12-88 years). The dataset was randomly divided into a training set (720 cases), a test set (206 cases), and a validation set (103 cases). Two radiologists identified and marked key anatomical points of the hip joint to establish the training dataset, which was then used to develop a deep learning-based AI model capable of locating these key anatomical positions. Using the identified anatomical points, the AI model automatically measured and calculated the Sharp angle, center-edge (CE) angle, and T?nnis angle in the test dataset. The measurement results from the AI model were compared with those of the radiologists to evaluate the model's accuracy. The validation set was used to optimize model parameters, and the test dataset was used to evaluate the diagnostic performance of DDH. Receiver operating characteristic (ROC) curves were employed to assess the diagnostic efficacy of the AI model for DDH and BDDH.Results:The accuracy rates of the AI model in measuring the left Sharp angle, CE angle, and T?nnis angle for diagnosing DDH were 89.8%, 90.1%, and 86.8%, respectively. For the right side, the accuracy rates were 93.7%, 92.2%, and 80.5%, respectively. There were no statistically significant differences in the mean values of the Sharp, T?nnis, and CE angles between manual and AI measurements ( P>0.05). Pearson correlation tests and intraclass correlation coefficient (ICC) analyses revealed high consistency between AI and manual measurements of the Sharp angle, T?nnis angle, and CE angle, with r-values and ICC values exceeding 0.75. Additionally, the AI model performed measurements significantly faster (1.7±0.1 s) than radiologists (88.1±8.4 s and 90.3±7.4 s, P<0.001). The areas under the ROC curves (AUCs) for diagnosing DDH using the Sharp angle, CE angle, and T?nnis angle measured by the AI model were 0.883, 0.922, and 0.908 (left side) and 0.924, 0.871, and 0.922 (right side), respectively. For diagnosing BDDH, the AUCs of the left and right CE angles measured by the AI model were 0.787 and 0.676, respectively. Kappa test results indicated good agreement between the AI model and manual measurements as well as final clinical diagnoses. For the CE angle, the κ value of the AI model was 0.663, while κ values for the Sharp and T?nnis angles were all greater than 0.800. Conclusion:The convolutional neural network-based AI model effectively and automatically measures the Sharp, CE, and T?nnis angles and demonstrates high diagnostic efficacy for DDH and BDDH.

Objective: To prospectively compare single-shot (SS) echo-planar imaging (EPI) and field-of-view optimized and constrained undistorted single-shot multiplexed sensitivity-encoding (FOCUS MUSE) for diffusion-weighted imaging (DWI) in evaluating thyroid-associated ophthalmopathy (TAO). Materials and Methods: SS EPI and FOCUS MUSE DWIs were obtained from 39 patients with TAO (18 male; mean ± standard deviation: 48.3 ± 13.3 years) and 26 healthy controls (9 male; mean ± standard deviation: 43.0 ± 18.5 years). Two radiologists scored the visual image quality using a 4-point Likert scale. The image quality score, signal-to-noise ratio (SNR), contrast-tonoise ratio (CNR), and apparent diffusion coefficient (ADC) of extraocular muscles (EOMs) were compared between the two DWIs. Differences in the ADC of EOMs were also evaluated. The performance of discriminating active from inactive TAO was assessed using receiver operating characteristic curves. The correlation between ADC and clinical activity score (CAS) was analyzed using Spearman correlation. Results: Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated significantly higher image quality scores (P < 0.001), a higher SNR and CNR on the lateral rectus muscle (LRM) and medial rectus muscle (MRM) (P < 0.05), and a non-significant difference in the ADC of the LRM and MRM. Active TAO showed higher ADC than inactive TAO and healthy controls with both SS EPI and FOCUS MUSE DWIs (P < 0.001). Inactive TAO and healthy controls did not show a significant ADC difference with both DWIs. Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated better discrimination of active from inactive TAO (AUC:0.925 vs. 0.779; P = 0.007). The ADC was significantly correlated with CAS in SS EPI DWI (r = 0.391, P < 0.001) and FOCUS MUSE DWI (r = 0.645, P < 0.001). Conclusion FOCUS MUSE DWI provides better images for evaluating EOMs and better performance in diagnosing active TAO than SS EPI DWI. The application of FOCUS MUSE will facilitate the DWI evaluation of TAO.

Objective:To examine the clinical application value of single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer.Methods:From February 2014 to July 2019, the clinic-pathological data of 34 early breast cancer patients received single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation at Department of General Surgery, Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed and followed up. All the patients were female, with an age of 46(11) years ( M( Q R)) (range: 26 to 64 years). The radical cure degree of operation, cosmetic effect after operation were evaluated. The satisfaction to operation and personal quality of life after operation was accessed by BREAST-Q scale. Results:All surgical procedures were successfully completed. The operation time was (313.4±11.7) minutes (range: 200 to 485 minutes). The blooding-liquid was (33.8±3.3) ml (range: 10 to 100 ml). There were 5 cases (14.7%) of nipple areola necrosis after operation, of which 1 patient received taking the prosthesis out because of prosthesis exposure. There was no capsular contracture or postoperative bleeding case. The follow-up time was 35(17) months (range: 12 to 77 months), and there was one case suffering local recurrence and metastasis, and another suffering metastasis. The scores of postoperative breast satisfaction, psychosocial status, chest wall status and sexual health were 78.32±2.57 (range: 55 to 100), 89.12±2.30 (range: 82 to 100), 91.47±1.33 (range: 43 to 100), and 78.50±2.68 (range: 39 to 100).Conclusion:Single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer can achieve provided curative and cosmetic effect on patients with breast cancer, with good patients′ postoperative quality of life and satisfaction.

Objective:To examine the clinical application value of single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer.Methods:From February 2014 to July 2019, the clinic-pathological data of 34 early breast cancer patients received single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation at Department of General Surgery, Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed and followed up. All the patients were female, with an age of 46(11) years ( M( Q R)) (range: 26 to 64 years). The radical cure degree of operation, cosmetic effect after operation were evaluated. The satisfaction to operation and personal quality of life after operation was accessed by BREAST-Q scale. Results:All surgical procedures were successfully completed. The operation time was (313.4±11.7) minutes (range: 200 to 485 minutes). The blooding-liquid was (33.8±3.3) ml (range: 10 to 100 ml). There were 5 cases (14.7%) of nipple areola necrosis after operation, of which 1 patient received taking the prosthesis out because of prosthesis exposure. There was no capsular contracture or postoperative bleeding case. The follow-up time was 35(17) months (range: 12 to 77 months), and there was one case suffering local recurrence and metastasis, and another suffering metastasis. The scores of postoperative breast satisfaction, psychosocial status, chest wall status and sexual health were 78.32±2.57 (range: 55 to 100), 89.12±2.30 (range: 82 to 100), 91.47±1.33 (range: 43 to 100), and 78.50±2.68 (range: 39 to 100).Conclusion:Single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer can achieve provided curative and cosmetic effect on patients with breast cancer, with good patients′ postoperative quality of life and satisfaction.

Objective To analyze the relationship between preoperative serum sodium concentration and preoperative status of liver transplantation recipients and it's effect on early prognosis. Methods Retrospectively collected the clinical data of 281 patients underwent liver transplantation in First Affiliated Hospital of Zhengzhou University from January 2016 to September 2017. According to the preoperative serum sodium concentration, they were divided into hyponatremia group (< 130 mmol/L) 18 patients, normonatremia group (130-145 mmol/L)232 patients and hypernatremia group(> 145 mmol/L) 31 patients. The SPSS 21.0 statistical software was used to analyze the difference of preoperative MELD score, Child-Pugh score, postoperative survival rate and the incidence of graft dysfunction among three groups. Multivariate comparisons of measurement data were performed using analysis of variance. Pairwise comparisons between groups were performed using the LSD-t test. Chi-square tests were used to compare the count data sets. Results The preoperative MELD score was(19.27 ±7.35) scores, Child-Pugh score was(10.39±2.28) scores, serum creatinine concentration was(95.89 ± 49.40) μmol/L in hyponatremia group, the preoperative MELD score was(12.17土8.79) scores(P=0.001), Child-Pugh score was(8.50±2.68) scores (P =0.004) and serum creatinine was(66.07 ±24.13) μmol/L(P <0.05) in normonatremia group, the difference between two groups were statistically significant. There were no significant difference in the length of postoperative ICU stay and postoperative hospital stay among the three groups, there were no significant difference between the 30th and 90th postoperative survival rates and the incidence of graft dysfunction. Conclusions Hyponatremia is an indicator of poor preoperative status in liver transplantation recipients. Preoperative serum sodium concentration has no significant effect on early prognosis of liver transplantation.