1. The Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Predicting Treatment Response for Cervical Cancer Treated with Concurrent Chemoradiotherapy
- Author
-
Chaohua Zhu, Heming Lu, Hailan Jiang, Xianglong Li, Xu Liu, Xianfeng Long, Shan Deng, Huixian Huang, Junzhao Gu, Zhaohong Chen, Pei Liu, Yuping Man, Qiang Pang, and Yuying Wu
- Subjects
Cervical cancer ,Treatment response ,locally advanced disease ,Receiver operating characteristic ,medicine.diagnostic_test ,cervical cancer ,business.industry ,Youden's J statistic ,Magnetic resonance imaging ,medicine.disease ,Concurrent chemoradiotherapy ,concurrent chemoradiotherapy ,Oncology ,Cancer Management and Research ,dynamic contrast-enhanced magnetic resonance imaging ,medicine ,Potency ,Cutoff ,prognosis prediction ,Nuclear medicine ,business ,Original Research - Abstract
Heming Lu,1,* Yuying Wu,2,* Xu Liu,1 Huixian Huang,1 Hailan Jiang,1 Chaohua Zhu,1 Yuping Man,3 Pei Liu,4 Xianglong Li,1 Zhaohong Chen,1 Xianfeng Long,1 Qiang Pang,1 Shan Deng,1 Junzhao Gu1 1Department of Radiation Oncology, Peopleâs Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Peopleâs Republic of China; 2Department of Gynecology, Peopleâs Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Peopleâs Republic of China; 3Department of Radiology, Peopleâs Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Peopleâs Republic of China; 4Department of Oncology, Youjiang Medical University for Nationalities, Baise, 533000, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Heming LuDepartment of Radiation Oncology, Peopleâs Hospital of Guangxi Zhuang Autonomous Region, No. 6 Taoyuan Road, Nanning, 530021, Peopleâs Republic of ChinaTel +86-771-218-6806Email luhming3632@163.comPurpose: To evaluate the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting early treatment response.Materials and Methods: Patients with locally advanced cervical cancer (LACC) treated with concurrent chemoradiotherapy (CCRT) were enrolled. Pelvic DCE-MRI scans were performed before RT (pre-RT), in the middle of RT (mid-RT), and at the end of RT (post-RT), separately. Parameters (ie, Ktrans, Kep, and Ve) were measured. Pre-, mid-, and post-RT Ktrans were denoted as Ktrans-preTx, Ktrans-midTx, and Ktrans-postTx, respectively. And the same denoting rule also went for Kep and Ve. Difference for the same parameter such as Ktrans measured between two consecutive time points was calculated as second Ktrans value minus first Ktrans value. The differences in Ktrans between pre-RT and post-RT, between pre-RT and mid-RT, and between mid-RT and post-RT were denoted as ÎKtrans-post-preTx, ÎKtrans-mid-preTx, and ÎKtrans-post-midTx, respectively, and the same denoting rule was also applied to Kep and Ve.Results: A total of 57 patients were enrolled. After the treatment, 31 patients had complete response (CR group). The remaining 26 patients had partial response (NCR group). Significant differences were found in Ktrans-postTx, Kep-postTx, Ve-midTx, ÎKtrans-post-preTx, ÎKtrans-post-midTx, ÎKep-post-preTx, ÎKep-mid-preTx and ÎKep-post-midTx between the two groups. Receiver operating characteristic (ROC) analysis for their performances in predicting treatment response showed an area under curve (AUC) of 0.656â 0.849, sensitivity of 61.3â 93.5%, specificity of 46.1â 73.1%, and maximal Youden Index of 36.5â 66.6. Among those parameters, Kep-postTx was the best, and its AUC, sensitivity, specificity, maximal Youden Index, and cutoff value were 0.849, 87.1%, 73.1%, 60.2, and 0.341, respectively. These combined parameters showed an AUC of 0.952, with sensitivity of 87.1%, specificity of 96.1%, and maximal Youden Index of 83.2.Conclusion: DCE-MRI parameters can predict early treatment outcome. Among those parameters, Kep-postTx is the best predictor. The combination of multi-parameters can increase the predictive potency.Keywords: cervical cancer, locally advanced disease, dynamic contrast-enhanced magnetic resonance imaging, concurrent chemoradiotherapy, prognosis prediction
- Published
- 2021