Tet (ten-eleven translocation) proteins belong to α-ketoglutaric acid (α-KG or 2-OG) and Fe2+ dependent dioxygenases. Tets are found to be involved in the unique mammalian DNA active demethylation process by specifically oxidizing the methyl group of 5-methylcytosine (5mC) in mammalian genome, and play critical roles in gene regulation in early embryonic development and stem cell differentiation via regulating the dynamic balance distribution of 5mC. Abnormal expression and function of Tets are closely associated with various hematological malignances, including myelodysplastic syndrome, chronic myelomonocytic leukemia, and acute lymphoblastic leukemia, as well as solid tumors. Hence, Tets and Tets-mediated DNA demethylation are novel anti-tumor drug targets. Investigation of biological function and catalytic mechanism of Tets is helpful for further understanding mechanisms of tumor incidence and development relevant to DNA demethylation pathway and can provide reference for developing new anti-tumor targeted drugs.

Objective To evaluate the impact of different reconstruction parameter setting of knowledge-based iterative model reconstruction (IMR) technique on image quality of low-dose hepatic contrast-enhanced CT.Methods Forty patients underwent hepatic contrast-enhanced CT scanning were enrolled.Plain CT and triphasic contrast-enhanced CT scans,including hepatic arterial phase,portal-venous phase and delayed phase were performed.Low-dose scan was used in delayed phase,with tube voltage of 80 kV and tube current of 150 mAs.Images of delayed phase were reconstructed with both filtered back projection (FBP) and IMR techniques.Parameter setting applied in IMR reconstructions consisted of body routine and body soft tissue modes with three levels (Level 1-3),so 6 subgroups (R1,R2,R3,S1,S2,S3) were included.Subjective and objective evaluations of image quality were compared among those groups.Subjective evaluations included the scores of low contrast detectability (LCD),image distortion (ID) and diagnostic confidence (DC).Objective evaluations included image noise,signal to noise ratio (SNR) and contrast to noise ratio (CNR).Results There were statistical differences of scores in LCD,ID and DC among all the reconstruction parameter setting groups (all P＜0.01).The noise,SNR and CNR among different parameter setting groups had statistically significant differences (all P＜0.01).Except for subgroup S1 and subgroup R2,subgroup S2 and subgroup R3 (all P＞0.05),the other multiple comparisons showed significant differences (all P＜0.01).Conclusion IMR can improve image quality of low-dose hepatic contrast-enhanced CT.IMR reconstruction parameter setting of S1 and R2 are optimal for low-dose hepatic contrast-enhanced CT protocal.

Objective:To investigate the CT features of lepidic predominant adenocarcinoma (LPA) and other pathological subtypes in early-stage invasive pulmonary adenocarcinoma appearing as ground glass nodule (GGN); and to provide imaging-derived information for the clinical management of GGN.Methods:The clinical and CT data of patients with early-stage invasive pulmonary adenocarcinoma in the First Medical Center of PLA General Hospital from January to December 2019 were retrospectively reviewed. All patients presented with pure GGNs or mixed GGNs with a consolidation-to-tumor ratio (CTR)<0.5, with the pathological results confirmed by surgery. GGNs were divided into LPA and non-LPA (n-LPA) groups according to pathological subtypes. Univariate analysis was used to compare the clinical data and CT characteristics between the two groups. The multivariate analysis was performed for the indicators with statistically significant differences and a multivariate model was generated using the reverse elimination method. The area under the ROC curve (AUC) was used to evaluate the discriminatory power of this model for differentiation of LPA from n-LPA.Results:A total of 630 GGNs from 589 patients were analyzed, with 367 GGNs in LPA group and 263 GGNs in n-LPA group. In univariate analysis, the diameter [(14±5) mm], CT value [(-566±98) HU], and CTR [13.9% (0, 27.3%)] in the LPA group were significantly smaller than those in the n-LPA group [(15±5) mm, (-499±111) HU, 27.8%(7.7%, 40%)], respectively, P<0.05]. The frequency of mGGN, deep lobulation sign, burrs, vascular changes, bronchial changes, and clear tumor-lung interface were significantly higher in the n-LPA group than those in the LPA group ( P<0.05). Multivariate analysis results showed that mean CT values, CTR, deep lobulation sign, burr, vascular changes, and bronchial changes were independent predictors for predicting n-LPA ( P<0.05), which were included in the logistic model. Using the optimal cutoff value of 3.958, the logistic regression model for differentiate LPA from n-LPA had a sensitivity of 76.4%, a specificity of 78.7%, and an area under the curve of 0.840. Conclusion:The CT features are helpful for differentiating lepidic predominant subtype from other subtypes in early-stage invasive pulmonary adenocarcinoma presenting as a GGN.

Objectives:To study the computed tomography features of banded adhesions(BA) and matted adhesions(MA) of adhesive small bowel obstruction(ASBO).Methods:We enrolled 150 patients operated on for ASBO. According to intraoperated findings, ASBO were classified into those caused by BA or MA. A multivariable logistic regression was established to analyze independent risk factors on Computed Tomography features.Results:There were significant differences in closed-loop sign (36.8% vs. 14.3%, P=0.002) mesenteric haziness (43.7% vs. 17.5%, P=0.001), beak sign (48.3% vs. 17.5%, P<0.001), fat notch sign (39.1% vs. 9.5%, P<0.001) and peritoneal fluid (54.0% vs. 34.9%, P=0.015) between the two groups. The presence of beak sign [ OR=6.15, 95% CI (2.55-14.84), P<0.001], fat notch sign [ OR=6.19, 95% CI (2.16-17.82), P=0.001] and mesenteric haziness [ OR=3.34, 95% CI (1.34-8.32), P=0.009] were independent risk factors with BA. Conclusion:Beak sign, fat notch sign and mesenteric haziness were independent risk factors for diagnosing BA.

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 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 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 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 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 investigate the development status of mental health service of Shanghai mental health agencies,and to provide reference for further strengthening the standardized management of service agencies.Methods:In Shanghai,107 mental health service agencies (including psychiatric institutions,non-specialist medical institutions,non-specialist enterprise and public institutions,social institutions) were selected from Shanghai psychological service industry association.Each person in charge of these agencies was interviewed with an adapted 5 l-item questionnaire.A total of 89 valid questionnaires were collected.In this study,25 items of the questionnaire (belonging to the parts of agency information,mental health service situation and management of mental health service) were selected and analyzed.Results:All the surveyed agencies had been registered.The average age of these agencies for setting up mental health service was 8.9 years,and the average age of psychiatric institutions was the longest (18.6 years).Besides,psychiatric institutions attracted most of the clients (83.9％) in 2015.Among the professionals,only 32.5％ were full time,74.0％ were female,41.5％ were between 31 and 40 years old and 63.8％ were undergraduates.Psychiatrists,psychotherapists,counselors and psychometric person accounted for 78.0％ of the professionals in these agencies.Only 52.3％ of the agencies had full-time management personnel for mental health service.The most used method of assessing the quality of service and staff assessment was to obtain feedback from the client/family members (81.0％) and the assessment of the services (78.8％).Conclusion:The development of mental health service in Shanghai mental health agencies has been more normalized,but there is still a lack of full-time professionals.In addition,there is a lack of unified supervision and management mechanism for professionals.