Objective:To analyze the drug resistance status of Mycobacterium tuberculosis（MTB）at a hospital in Xiamen over the past decade. Methods:Sputum culture-positive specimens of tuberculosis patients from Xiamen Xinglin Hospital from 2015 to 2024 were collected retrospectively. Isolates were identified as MTB complex and subjected to drug susceptibility testing. Drug resistance patterns and trends over the study period were analyzed using descriptive statistics and Chi-square trend tests in SPSS 27.0 and GraphPad Prism 8.0.Results:Among 3 883 MTB isolates analyzed，1 132（29.15%）exhibited resistance to at least one drug. The highest rates of resistance to individual first-line drugs were observed for isoniazid（INH，16.04%），streptomycin（SM，15.43%），and rifampicin（RFP，12.28%）. Multidrug-resistant tuberculosis（MDR-TB）was identified in 380 isolates（9.79%）. The predominant MDR resistance patterns were INH+RFP+SM（2.34%），INH+RFP（1.65%），and INH+RFP+SM+ethambutol（EMB）（1.03%）. Polyresistance was found in 188 isolates（4.84%），the predominant patterns were INH+SM（1.49%），INH+fluoroquinolone（FQs）（0.31%），and INH+para-aminosalicylic acid（PAS）（0.31%）. Extensively drug-resistant tuberculosis（XDR-TB）was detected in 49 isolates（1.26%）. From 2015 to 2024，significant decreasing trends were observed for overall drug resistance（ χ2=8.858， P=0.003），MDR（ χ2=15.692， P<0.001），and RFP resistance（ χ2=21.627， P<0.001）. In contrast，fluoroquinolone（FQs）resistance showed no significant trend（ χ2=0.149， P=0.699）. Among RFP resistant and MDR isolates，FQs resistance rates were notably high at 33.12%（158/477）and 36.84%（140/380），respectively. Conclusions:The MTB resistance situation in the hospital has gradually declined in the past 10 years，but the resistance situation remains severe，and clinical attention needs to be strengthened on the use of FQs.

Objective:To analyze the drug resistance status of Mycobacterium tuberculosis（MTB）at a hospital in Xiamen over the past decade. Methods:Sputum culture-positive specimens of tuberculosis patients from Xiamen Xinglin Hospital from 2015 to 2024 were collected retrospectively. Isolates were identified as MTB complex and subjected to drug susceptibility testing. Drug resistance patterns and trends over the study period were analyzed using descriptive statistics and Chi-square trend tests in SPSS 27.0 and GraphPad Prism 8.0.Results:Among 3 883 MTB isolates analyzed，1 132（29.15%）exhibited resistance to at least one drug. The highest rates of resistance to individual first-line drugs were observed for isoniazid（INH，16.04%），streptomycin（SM，15.43%），and rifampicin（RFP，12.28%）. Multidrug-resistant tuberculosis（MDR-TB）was identified in 380 isolates（9.79%）. The predominant MDR resistance patterns were INH+RFP+SM（2.34%），INH+RFP（1.65%），and INH+RFP+SM+ethambutol（EMB）（1.03%）. Polyresistance was found in 188 isolates（4.84%），the predominant patterns were INH+SM（1.49%），INH+fluoroquinolone（FQs）（0.31%），and INH+para-aminosalicylic acid（PAS）（0.31%）. Extensively drug-resistant tuberculosis（XDR-TB）was detected in 49 isolates（1.26%）. From 2015 to 2024，significant decreasing trends were observed for overall drug resistance（ χ2=8.858， P=0.003），MDR（ χ2=15.692， P<0.001），and RFP resistance（ χ2=21.627， P<0.001）. In contrast，fluoroquinolone（FQs）resistance showed no significant trend（ χ2=0.149， P=0.699）. Among RFP resistant and MDR isolates，FQs resistance rates were notably high at 33.12%（158/477）and 36.84%（140/380），respectively. Conclusions:The MTB resistance situation in the hospital has gradually declined in the past 10 years，but the resistance situation remains severe，and clinical attention needs to be strengthened on the use of FQs.

BACKGROUND: Thoracic aortic endovascular repair is an important method for treating aortic dissection and thoracic aortic aneurysm. The success of the operation depends on whether the stent graft is placed in the correct position. However, when the stent is implanted, the aorta in the intraoperative X-ray image is invisible, so the operation is difficult and the risk is high. Registration of preoperative CT angiography and intraoperative X-ray images can help doctors place stents and increase success rates. OBJECTIVE: To propose a preoperative CT angiography and intraoperative X-ray image registration algorithm for thoracic aortic endovascular repair. METHODS: Firstly, digital reconstruction images of CT angiography and bone CT were performed under different virtual perspectives, and the two were superimposed to obtain a digital reconstruction image library under various angles of position and orientation for intraoperative X-ray images. Secondly, we proposed a deep neural network based on branch decoding structure. Using digital reconstruction image library training, the position and attitude parameters of intraoperative X-ray images could be estimated to obtain CT angiography and intraoperative X-ray images. The spatial positional relationship was obtained. Finally, according to the pose parameters of the X-ray image in the CT angiography coordinate system, the thoracic aorta image in the CT angiography was re-projected and superimposed into the intraoperative X-ray image to navigation assistance for the doctors. RESULTSANDCONCLUSION: (1) The experimental results show that the root mean square error of the proposed algorithmis reduced by 17%comparedwiththe traditional algorithmsof gradient correlation and mode strength. (2) In the dual-branch code structure network, the parameter estimation error is reduced to 30% of the network without branching structure in the digital reconstruction image test set. (3) In the experimental X-image experiment, the root mean square error is also reduced by2%.