Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination

Cancer Imaging

Huali Jiang¹  Xi Zhong²  Jiansheng Li²  Liangping Luo³  Songxin Wu⁴  Kuiming Jiang⁴  Zhiqing Huang⁴  Jialin Xiang⁴  Hui Mai⁵ 

[1] Department of Cardiovascularology, Tungwah Hospital of Sun Yat-Sen University, Dong cheng East Road, 523110, Dong guan, Guangdong, China;Department of Medical Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, 510095, Guangzhou, China;Department of Medical Imaging, First Affiliated Hospital of Jinan University, 510000, Guangzhou, China;Department of Radiology, Guangdong Women and Children Hospital, 510000, Guangzhou, China;Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, 510150, Guangzhou, China;

关键词: Insufficiency fracture;    Radiotherapy;    Apparent diffusion coefficient;    Nomogram;    Cervical cancer;   

DOI  :  10.1186/s40644-020-00353-8

来源: Springer

【 摘 要 】

BackgroundRadiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer.MethodsThis study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including ADCmean, ADCmin, ADCmax, ADCstd, ADCmean ratio (lesion/normal bone) and ADCmean ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis.ResultsA total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, ADCstd and ADCmean ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively.ConclusionsMulti-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of ADCstd and ADCmean ratio (lesion/muscle) may provide an improved classification performance.

【 授权许可】

CC BY