1.Efficacy and prognostic factors analysis of CT-guided 125I seeds implantation for primary hepatocellular carcinoma
Qianqian YUAN ; Miaomiao HU ; Yanli MA ; Yuqing SONG ; Chuang HE ; Xuequan HUANG ; Chongshuang YANG ; He ZHU ; Zhe WANG ; Kaixian ZHANG ; Junjie WANG ; Jiuyan ZHANG ; Bin LIU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2022;42(11):666-671
Objective:To evaluate the efficacy and prognostic factors of 125I seeds implantation for primary hepatocellular carcinoma. Methods:From December 2011 to January 2021, 102 primary hepatocellular carcinoma patients (86 males, 16 females; median age 61 years) who underwent 125I seeds implantation from 5 hospitals in China were enrolled in this retrospective study. Local progression-free survival (LPFS), overall survival (OS) and the prognostic factors were analyzed. Kaplan-Meier method was used to draw the distribution curve of survival time, and LPFS rate and OS rate were calculated. Log-rank test and Cox regression were used to analyze the influencing factors of survival. Results:The median follow-up time was 38 months until April 2021. The local control rate was 96.1%(98/102). The 1-, 3- and 5-year LPFS rate were 61.3%, 25.5% and 12.7%, and the 1-, 3- and 5-year OS rate were 73.9%, 39.1% and 22.6%, respectively. There were 75 patients with progressive disease, including 42 patients with intrahepatic recurrence and metastasis after seed implantation, and 55 patients died. Multivariate analyses showed that short-term efficacy complete response (CR) (hazard ratio ( HR)=0.34, 95% CI: 0.20-0.58) was protective factor related to LPFS; short-term efficacy CR ( HR=0.25, 95% CI: 0.13-0.47) was the protective factors related to OS; Barcelona clinic liver cancer (BCLC) C stage ( HR=2.33, 95% CI: 1.27-4.27), intrahepatic progression and extrahepatic metastasis ( HR=3.18, 95% CI: 1.28-7.86; HR=3.23, 95% CI: 1.27-8.21) were independent risk factors related to OS. No sever adverse effects were observed. Conclusions:125I seeds implantation is safe and effective for the treatment of primary hepatocellular carcinoma. BCLC stage, short-term efficacy and post-implantation progression are independent factors related to survival time.
2.Computed tomography features and prediction model of stage-IA solitary nodular invasive mucinous lung adenocarcinoma
Lei ZHANG ; Wenrong SHEN ; Xiuming ZHANG ; Shaorong YU ; Jiuyan JIANG ; Mengjie WU ; Dan SHI ; Na YIN
Chinese Journal of Radiological Health 2023;32(2):171-175
Objective To investigate the computed tomography (CT) features of solitary nodular invasive mucinous lung adenocarcinoma (IMA) in stage IA and establish its prediction model. Methods We included 53 lesions of 53 patients with stage-IA IMA and 141 control lesions of 141 patients with invasive non-mucinous lung adenocarcinoma (NIMA) that were confirmed by surgical pathology in our hospital from January 2017 to December 2019. Univariable analysis was used to compare the demographics and CT signs of the two groups. Multivariable logistic regression analysis was performed to determine the main factors influencing solitary nodular IMA. A risk score prediction model was constructed based on the regression coefficients of the main influencing factors. A receiver operating characteristic (ROC) curve was used to assess the performance of the model. Results The univariable analysis showed significant differences between the two groups in age, largest nodule diameter, tumor-lung interface, lobulation, spiculation, air-bronchogram or vacuole sign, vessel abnormalities (P < 0.05). The spiculation sign was different between the two groups, which was longer and softer in the IMA group while shorter and harder in the NIMA group. There was no significant difference in sex, nodule shape, or pleural retraction (P > 0.05), but irregular shapes were slightly more frequent in the IMA group. The multivariable logistic regression analysis showed that obscure tumor-lung interface (odds ratio (OR = 20.930, P < 0.05), air-bronchogram or vacuole sign (OR = 7.126, P < 0.05), spiculation sign (OR = 4.207, P < 0.05), and vessel abnormalities (OR = 0.147, P < 0.05) were the main influencing factors. The prediction model based on those factors’ regression coefficients had an area under the ROC curve of 0.829 (P < 0.05). Conclusion Compared with those with NIMA, patients with solitary nodular IMA in stage IA were older and more likely to have the CT features of obscure tumor-lung interface, air-bronchogram or vacuole sign, and longer and softer spiculation. Based on the regression coefficients of tumor-lung interface, air-bronchogram or vacuole sign, spiculation, and vessel abnormalities, the risk score prediction model showed good predictive performance for solitary nodular IMA.