1.Correlation of Vertebral Bone Mineral Density and Modic Changes in Menopausal Females with Chronic Low Back Pain
Xuezhi GU ; Xingcan CHEN ; Miao LIU ; Dong HE ; Caiyong ZHAO ; Haitao WANG
Chinese Journal of Medical Imaging 2015;(7):536-538,543
PurposeIt has been reported that women have higher incidence of Modic changes than men and it may be related to the change of female hormone levels during menopause which leads to osteoporosis and other factors. This paper investigated the relationship between vertebral bone mineral density (BMD) of menopausal female suffering from chronic low pain and lumbar vertebral Modic changes on MRI, to explore the effect of vertebral bone mineral density upon Modic changes.Materials and Methods A total of 205 menopausal women with chronic low back pain were enrolled and underwent vertebral bone mineral density measurement and lumbar MRI examination. The bone mass of vertebral body and bone imaging data were observed. All patients were divided into three groups according to their level of bone mass: group of normal bone mass: 128 cases; osteopenia group: 58 cases; osteoporosis group: 19 cases. The incidence rate of Modic changes was compared among the three groups and the relationship between bone mineral density and vertebral Modic changes was further analyzed.Results Among 205 patients, 128 were with normal bone mass, 44 had Modic changes (type I: 19 cases; type II: 22 cases; type III: 3 cases) and the incidence rate was 34.4%; osteopenia occurred in 58 patients, among whom 34 had Modic changes (type I: 15 cases; type II: 17 cases; type III: 2 cases), which showed that the rate was 58.6%; 19 patients presented osteoporosis, 15 of whom appeared Modic changes (type I: 6 cases, type II: 7 cases;type III: 2 cases), with the rate of 78.9%. There was statistically signiifcant difference in incidence rate of Modic changes among the three groups (χ2=18.995,P<0.05). Pearson column connection numberC=0.29<0.40. The osteopenia group and osteoporosis group both had higher incidence rates than the group of normal bone mass (χ2=9.636 and 13.680,P<0.01), and the incidence rate showed no difference between the osteopenia group and osteoporosis group (χ2=2.555,P>0.05).Conclusion Lumbar vertebral bone mineral density is correlated to the incidence of vertebral Modic changes in menopausal women with chronic low back pain. With the loss of vertebral bone mass, the incidence of vertebral Modic changes gradually rise. However, the correlation is rather weak; Modic change is a dynamic process, which is also influenced by other factors except vertebral bone mineral density.
2.CT and MRI findings of liver primary undifferentiated pleomorphic sarcoma
Caiyong ZHAO ; Feng CUI ; Wei SHI ; Hongjie HU
Chinese Journal of Medical Imaging Technology 2018;34(3):378-381
Objective To investigate CT and MRI characteristics of liver primary undifferentiated pleomorphic sarcoma (UPS).Methods Data of 8 cases of pathologically confirmed liver UPS were analyzed retrospectively.Results The tumors located in right liver (n=6),left liver (n=1) or caudate lobe (n=1).Irregular shape and ill-defined boundary were found in 6 cases,while regular shape and well-defined boundary were found in the other 2 cases.The lesions in 7cases showed heterogeneous density,and demonstrated homogeneous density in 1 case.Slight heterogeneous enhancement in arterial phase and progressive enhancement in portal phase were observed in all 8 cases,while continuous enhancement was observed in 6 cases.Tumor thrombi in inferior vena or portal vein were observed in 4 cases.Conclusion CT and MRI manifestations of primary liver UPS are characteristic in certain degree,therefore being helpful to the diagnosis of this disease.
3.Diagnostic value of artificial intelligence based on lung CT for benign and malignant pulmonary nodules
Dankun ZHANG ; Feng CUI ; Yongsheng ZHANG ; Liang DU ; Huanguo LI ; Caiyong ZHAO ; Zhiping LI
China Modern Doctor 2024;62(23):44-47
Objective To explore the value of artificial intelligence(AI)in the diagnosis of pulmonary nodules in terms of consistency and efficiency compared with two radiologists(physician 1 is a chief physician and physician 2 is a deputy chief physician)in the diagnosis of benign and malignant pulmonary nodules using computed tomography(CT).Methods Retrospective analysis of 201 patients with pulmonary nodules confirmed by surgery pathology at Hangzhou Municipal Hospital affiliated to Zhejiang Chinese Medical University from January 2021 to October 2022,including a total of 229 pulmonary nodules,of which 74 were benign and 155 were malignant.The consistency of AI diagnosis with two radiologists was evaluated by weighted Kappa test,and the diagnostic performance of AI with the two radiologists was evaluated by the receiver operating characteristic curve(ROC).Results In the diagnosis of the benign and malignant nature of partial solid nodules,ground-glass nodules,solid nodules,and partial ground-glass and solid plus ground-glass nodules,the consistency between AI and physician 2 was higher than that between AI and physician 1.Additionally,the area under the curve(AUC)of physician 2 was higher than that of AI and physician 1 with statistically significant differences between the AUCs of ground-glass nodules,solid nodules,and partial ground-glass and solid plus ground-glass nodules(P<0.05).In the diagnosis of the benign and malignant nature of partial solid nodules and ground-glass nodules,the AUC of physician 1 was higher than that of AI,but there was no statistically significant difference between the two(P>0.05).In the diagnosis of the benign and malignant nature of solid nodules and partial ground-glass and solid plus ground-glass nodules,the AUC of AI was higher than that of physician 1 with statistically significant differences between the two(P<0.05).In the diagnosis of the benign and malignant nature of ground-glass nodules,solid nodules,and partial ground-glass and solid plus ground-glass nodules,AI's sensitivity(97%,92%,and 94%)was higher than that of physician 1(58%,89%,and 72%)and physician 2(83%,84%,and 85%).Conclusion AI has a certain diagnostic efficacy in the diagnosis of pulmonary nodules malignancy.The overall diagnostic efficacy of the AI system used in this study is between that of physician 1 and physician 2,but its sensitivity is higher than that of the latter two.