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This study integrated the clinical data and radiomics signature generated by a support vector machine to establish a radiomics nomogram for prediction of induction chemotherapy response and survival in nasopharyngeal carcinoma patients. The results proved that multiparametric MRI-based radiomics could be helpful for personalized risk stratification in patients receiving induction chemotherapy.

Key points

  • MRI Radiomics can predict IC response and survival in non-endemic NPC.
  • Radiomics signature in combination with clinical data showed excellent predictive performance.
  • Radiomics signature could separate patients into two groups with different prognosis.

Article: MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma

Authors: Lina Zhao, Jie Gong, Yibin Xi, Man Xu, Chen Li, Xiaowei Kang, Yutian Yin, Wei Qin, Hong Yin, Mei Shi

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