Background:To analyze the efficacy of computed tomography (CT)-guided implantation of 125 I radioactive particles in treatment of early lung cancer. Methods: Six patients were analyzed, including 4 squamous cell carcinoma, 1 adenocarcinoma, and 1 small cell lung cancer. TPS software was used to calculate the therapeutic dose amount of particles implanted, and the spacing and distribution of seeds in the target area and adjacent tissues. Under the guidance of CT, 20-55 particles were implanted at each site, with the total number of radioactive particles being 226, the particle spacing being 0.5-1.0 cm, and the implantation being performed in accordance with the principle of uniform implantation. The patients were each followed up with repeated pulmonary CT scans at 1, 3, 6, 12, 18, 24, 30 and 36 months after the procedure. In accordance with the response evaluation criteria in solid tumors (RECIST), the following definitions for responses were used: complete response (CR), partial response (PR), stable disease (SD), progressive disease (PD).Results: There were 2 CRs and 4 PRs one month after procedure; six patients were followed up 3 months after procedure, including 2 CRs and 4 PRs; one patient was lost in follow-up, and 5 patients were followed up 6 months after procedure, including 3 CRs and 2 PRs; five patients were followed up 12 months after procedure, including 3 CRs, 1 PR and 1 PD. The single PD patient was again given CT-guided implantation of 125 I radioactive particles for the treatment of recurrent lesions. The pulmonary CT was repeated 6 months after procedure, and the response was evaluated as SD. Four patients were followed up 18 months after procedure, including 3 CRs and 1 PR; one patient was lost in follow-up and 3 patients were followed up 24 months after the procedure with the response being evaluated as CR for all of them; one patient was followed up 36 months after procedure, and the response was evaluated as PD. During the follow-up, no serious complications occurred in any of the patients. Conclusions: The preliminary clinical observation showed that 125 I radioactive particle implantation was a safe, reliable and effective therapeutic method for early lung cancer.

Departmental sources Background: This study aimed to investigate the role of dual-source computed tomography angiography (DSCTA) to evaluate the anatomy of the aortic arch vessels in patients with acute Type A aortic dissection (AD). Material/Methods: A retrospective clinical study included 42 patients with acute Type A AD who underwent DSCTA and were treated in our hospital between January 2018 and December 2018. The findings were compared with a control group of 45 healthy individuals with hypertension and without aortic arch lesions. Results: The diagnostic accuracy of DSCTA in patients with acute Type A AD was almost 100%. The innominate artery was most frequently affected. The mean DSCTA imaging measurements for the root of the innominate artery, the left common carotid artery, and the left subclavian artery, in the coronal plane of the aortic arch, were 17.7±3.7 mm, 17.7±3.7 mm, and 12.9±3.1 mm, respectively. The angles formed by the origin of the three aortic arch branches vessels and the aortic arch were 70.5±10.2°, 58.5±15.5°, and 90.2±22.7°, respectively. In the transverse plane of the aortic arch, the mean angles were 110.5±22.3°, 100.3±15.2°, and 95.4±10.6°, respectively. These DSCTA imaging findings were significantly different in the patient group compared with the control group. Conclusions: DCTA demonstrated that patients with Type A AD showed anatomic differences in the aortic arch vessels. These findings may help surgeons to develop treatment strategies and select the most appropriate vascular grafts and stents.

Background To investigate the clinical value of radiomics based on non-enhanced head CT in the prediction of hemorrhage transformation in acute ischemic stroke (AIS).Materials and methods The radiomic features of infarcted areas on non-enhanced CT images were extracted using ITK-SNAP. The Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) were used to select features. The radiomics signature was then constructed by multiple logistic regression. The clinicoradiomics nomogram was constructed by combining radiomics signature and clinical characteristics. All predictive models were constructed in the training group, and these were verified in the validation group. All models were evaluated with the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).Results The radiomics signature was constructed by 10 radiomics features. The clinicoradiomics nomogram was constructed by combining radiomics signature and atrial fibrillation. The area under the ROC curve (AUCs) of the clinical model, radiomics signature, and clinicoradiomics nomogram for predicting hemorrhagic transformation in the training group were 0.64, 0.86, and 0.86, respectively. The AUCs of the clinical model, radiomics signature, and clinicoradiomics nomogram for predicting hemorrhagic transformation in the validation group were 0.63, 0.90, and 0.90, respectively. DCA curves showed that the radiomics signature performed well as well as the clinicoradiomics nomogram. DCA curve showed the clinical application value of radiomics signature is similar to that of clinicoradiomics nomogram.Conclusion Radiomics signature which was constructed without clinical characteristics can independently predict the hemorrhagic transformation of AIS well.