Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

Objective:To compare the performance of 4 mainstream convolutional neural network models in one-step automatic di-agnosis of cervical vertebra maturation(CVM)and sagittal skeletal type on lateral cephalogram.Methods:600 lateral cephalograms were collected.2 orthodontists were included to determine the stage of CVM and semi-automatic measurement of sagittal skeletal type.After the data set was enhanced,80％was used as the training set and 20％as the test set.The same training method was used to compare the performance of convolutional neural network models of InceptionV3,ResNet50,ShuffleNetV2 and VGG16).Results:The accuracy of InceptionV3,ResNet50,ShuffleNetV2 and VGG16 in distinguishing CVM stage was 98.44％,89.85％,60.55％and 67.97％,and the accuracy of sagittal bone surface classification 96.56％,92.19％,80.00％and 88.13％,respec-tively.Conclusion:Among the 4 convolutional neural network models,InceptionV3 has the best overall learning performance for CVM stage and sagittal skeletal type classification.

Objective:To compare the performance of 4 mainstream convolutional neural network models in one-step automatic di-agnosis of cervical vertebra maturation(CVM)and sagittal skeletal type on lateral cephalogram.Methods:600 lateral cephalograms were collected.2 orthodontists were included to determine the stage of CVM and semi-automatic measurement of sagittal skeletal type.After the data set was enhanced,80％was used as the training set and 20％as the test set.The same training method was used to compare the performance of convolutional neural network models of InceptionV3,ResNet50,ShuffleNetV2 and VGG16).Results:The accuracy of InceptionV3,ResNet50,ShuffleNetV2 and VGG16 in distinguishing CVM stage was 98.44％,89.85％,60.55％and 67.97％,and the accuracy of sagittal bone surface classification 96.56％,92.19％,80.00％and 88.13％,respec-tively.Conclusion:Among the 4 convolutional neural network models,InceptionV3 has the best overall learning performance for CVM stage and sagittal skeletal type classification.

Purpose To study the spiral CT (SCT) appearances of pleural plaques,to improve the accuracy of diagnosis and differential diagnosis,and to evaluate clinic application.Materials and Methods The SCT appearances in 42 cases with pleural plaques were analysed retrospectively,which closed met with asbestos dust.Results SCT showed 407 pleural plaques in 42 cases,of which there were hyline / uncalcified pleural plaques (n=250),calcified pleural plaques(n= 36),mixed pleural plaques(n=121);unilateral pleural plaques (n=10),bilateral pleural plaques (n=32);single pleural plaque in 5 cases,multiple pleural plaques in 37 cases.The largest pleural plaque was 4.2cm×1.2cm.There were a lot of shapes of the pleural plaques.Various shapes of calcifications could be showed in the calcified or mixed type pleural plaques.The pleural plaques distributed in the middle-inferior part,anterior / posterior-lateral chest wall,underlying the ribs in 28 cases (66.6 %),both bilateral domes of diaphragm in 10 cases and mediastinal pericardium in 4 cases.The pleural plaques associated with pulmonary intertitial fibrosis in 4 cases.No cases in the apices / costophrenic angles.No enhancement of pleural plaques in 6 cases which were administrated contrast scan.Conclusion SCT can clearly show the distribution,extention,shape,size,density and relation to adjacent tissues of the pleural plaques,and with asbestos exposure history,can make a diagnosis and differential diagnosis from other pleural thickened lesions.SCT is the best choice of imaging methods for asbestosis and pleural plaque.

Objective To study the metabolic change of proton magnetic resonance spectroscopy (1 H-MRS)in the visual cortex and optic radiation region of patients with diabetic retinopathy (DR).Methods 1H-MRS was performed in 20 patients with DR and 20 healthy volunteers on GE 1.5 T MR system respectively.Metabolic peaks of N-acetylasparte(NAA),creatine(Cr,in 3.02 and 3.94 ppm),choline-containing compounds(Cho)and myo-inositol(mI)were observed,and the ratios were analyzed by each other.Independent-samples t test was performed between two sets of data.Results In both visual cortex and optic radiation,the ratios of ml/Cr and mI/CrSee in DR group(0.664 ± 0.052 and 1.453±0.068 in visual cortex,0.717±0.074 and 1.484±0.114 in optic radiation)were significant higher than those in normal group(0.602±0.047 and 1.249±0.044 in visual cortex,0.679 ± 0.075 and 1.334±0.089 in optic radiation,P＜0.05).In DR group,the ratios of CrSec/Cr,Cho/Cr and NAA/Cr in visual cortex and optic radiation were 0.458±0.043 and 0.488±0.052,0.481±0.057 and 0.807±0.110,1.633±0.105 and 1.709±0.140 respectively.In control group.the ratios of those were 0.484±0.041 and0.502±0.056,0.471±0.065 and 0.786±0.109,1.625±0.098 and 1.716±0.135 respectively.The ratios of CrSec/Cr,Cho/Cr and NAA/Cr had no statistic difference between two groups(P＜0.05).Conclusion mI/CrSec is a typical change in the visual cortex and optic radiation region,1H-MRS as a noninvasive examination could provide biochemical and metabolic informations for diabetic patients.

Objective　 To improve the recognization and the diagnostic accuracy of brachial cleft cyst (BCC) by CT scan. Methods 　CT findings of 10 BCC proved surgically and pathologically were retrospectively reviewed. Results　 BCC，CT number 22～33 Hu；with the enhanced wall and the non-enhanced cystic part. If infections exist，the margin would be obscure and the internal density be increased. These cysts commonly located in the anterior triangle area of the neck or along the anterior border of the sternocleidomastoid muscle. The first brachial cleft fistula was not displayed. Conclusion　 CT scan can not only clearly show the location，enhanced characters and the relationship to the adjacent tissues of the BCC，but also can be possible to make the diagnosis of the BCC，but not the brachial cleft fistula.

Objective　To analyze the CT features and diagnostic valuation of endometriosis. Methods 　The CT features in 26 cases with endometriosis confirmed by operation and pathology were retrospectively studied. Results　The endometriosis deposited in the overly （n=16）,wall of bladder （n=2）,uterus （n=5）,and Vagina （n=3）.On CT,the lesion could appear as a round or oval or irregular,Cystic or solid or mixed mass,with unclear margin,and certain adhesion to surrounding sssstructures.There were some small cysts within the mass.On enhanced CT,the cystic margin and solid part of the mass could be enhanced. Conclusion　CT features with clinical information,it is possible to diagnosis endometriosis.

Objective To analyse the CT features of solitary bronchioalveolar carcinoma(SBAC) so that to improve the CT diagnostic accuracy.Methods CT findings of 39 cases with SBAC proved by operation and pathology were studied,and an analysis as compared with 48 cases other type of peripheral pulmonary carcinoma.Results CT findings included lobulations in 32,spiculation in 33,pleural tags in 25,bronchovascular bundles in 14,vacuole or/and bronchiologram in 18 and ground glass changs in 8 cases.Conclusion The characteristic CT manifestations of SBAC are:(1)Vacuole or/and bronchiologram;(2)Long spiculation;(3)Ground-glass.It is important to recognize the CT appearances of SBAC in order to improve diagnostic ability.

Objective:To evaluate the effect of HRCT in diagnosis of the sacroiliac joint of ankylosing spondylitis(AS).Methods:HRCT scanning of sacroiliac joints were performed in 86 adult patients with AS.CT findings were reviewed.Rank test was used for statistical analysis of the grade of sacroiliac joint changes in two groups based on course of disease and the sex of patients.Results:The CT findings of the sacroiliac joint changes in AS included erosion,arthrosclerosis,change of joint space,arthrokleisis,gas and soft tissue in articular cavity.Pathologic changes were more obvious with the course of disease prolonged (P0.01).In the group during the same course,pathologic changes were more marked in female patients than those in male ones(P0.01).Conclusion:HRCT can show tiny structures of sacroitiac joint clearly.This is beneficial to recognize different patologic changes and make correct diagnosis.