Diagnostic value of nomogram based on CT imaging features for differentiating bone island from osteoblastic metastases
10.3969/j.issn.1002-1671.2025.03.022
- VernacularTitle:基于CT影像学征象的列线图对骨岛和成骨性转移瘤的鉴别诊断价值
- Author:
Wei GUO
1
;
Fan YANG
1
;
Xin WAN
1
Author Information
1. 武汉市第三医院/武汉大学附属同仁医院放射科,湖北 武汉 430063
- Publication Type:Journal Article
- Keywords:
bone island;
osteoblastic metastasis;
nomogram;
computed tomography
- From:
Journal of Practical Radiology
2025;41(3):457-461
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the differential diagnostic value of nomogram based on CT imaging features for bone island(BI)and osteoblastic metastases(OBM).Methods A retrospective analysis was conducted on the clinical and imaging data of 374 patients with spinal BI and OBM who underwent chest or abdominal CT scans.There were 290 patients with 445 lesions in BI group,and 84 patients with 449 lesions in OBM group.Multivariate logistic regression analysis was used to screen relevant variables,including age,gender,maximum CT value,average CT value,length and width,density uniformity,margin,and location of each lesion,to establish a nomo-gram prediction model.The receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the differential diagnostic performance of the nomogram model for BI and OBM.Results Univariate analysis revealed that statistically significant differences between the two groups in terms of age,maximum CT value,average CT value,spinous process sign,proximity to the bone cortex,vertebral location,length,and length/width ratio(P<0.05).Multivariate logistic regression analysis showed that average CT value,spinous process sign,proximity to the bone cortex,vertebral location,length,and length/width ratio were independent factors differentiating for BI and OBM(P<0.05).The AUC of ROC curves for the training and validation sets of the nomogram model,constructed based on average CT value,spinous process sign,proximity to the bone cortex,vertebral location,length,and length/width ratio,were 0.976 and 0.935,respectively.The sensitivity and specificity of the model's training set were 0.942 and 0.902,respectively,while those of the validation set were 0.932 and 0.799,respectively.Conclusion The nomogram model based on average CT value,spinous process sign,proximity to the bone cortex,vertebral location,length,and length/width ratio can effectively differentiate BI from OBM,providing valuable assistance for clinical decision-making.
