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Abstract #0100

Radiomics Analysis of tumor and peri-tumor tissue on T2-Weighted Imaging Improves Diagnostic Performance of Lymph Node Metastasis in Patients with Cervical Cancer

Qingxia Wu1, Shuo Wang2, Xi Chen3, Yan Wang1, Yusong Lin4, and Meiyun Wang1

1Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China, 3School of Information and Electronics, Beijing Institute of Technology, Beijing, China, 4Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China

The tumor margin and peritumoral tissue play an important role in the process of LN metastasis. The aim of this study was to utilize radiomics analysis of tumor and peri-tumor tissue on T2 weighted image (T2WI) to improve LNM prediction ablility in cervical cancer patients. We found that peritumoral tissue of cervical cancer on T2WI showed favorable value in predicting LNM. The decision tree we proposed which incorporates the radiomics features of intratumoral and peritumoral tissue on T2WI and c-LN status can be potentially used for personalized preoperative evaluation of LNM and optimal treatment regimen selection in cervical cancer patients.

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