A Radiomics Model Utilizing CT Imaging to Forecast Pain Relief Following Radiotherapy in Bone Metastasis Patients: Findings from a Dual-Center Investigation - Takeaways - MDSpire

A Radiomics Model Utilizing CT Imaging to Forecast Pain Relief Following Radiotherapy in Bone Metastasis Patients: Findings from a Dual-Center Investigation

  • By

  • Zhiling Wan

  • Kangning Liu

  • Heyao Xu

  • Fei Zhao

  • Xiaohan Qin

  • Zexian Wang

  • Weijia Li

  • Yuhang Wu

  • Bowen Hu

  • Chong Zhou

  • Xiaojin Wu

  • April 21, 2026

  • 0 min

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  • 1

    A CT-based radiomics model was developed to predict pain relief after palliative radiotherapy in bone metastasis patients.

  • 2

    The study included 134 patients, with 53 in the pain relief group and 81 in the non-relief group, across two centers.

  • 3

    The k-nearest neighbors (KNN) model outperformed other machine learning algorithms, achieving an AUC of 0.823 in the training set.

  • 4

    Seven radiomic features were selected for modeling after feature screening, demonstrating the model's predictive capability.

  • 5

    The KNN model shows potential clinical utility in identifying patients likely to achieve pain relief from radiotherapy.

Original Source(s)

A Radiomics Model Utilizing CT Imaging to Forecast Pain Relief Following Radiotherapy in Bone Metastasis Patients: Findings from a Dual-Center Investigation

  • by Zhiling Wan, Kangning Liu, Heyao Xu, Fei Zhao, Xiaohan Qin, Zexian Wang, Weijia Li, Yuhang Wu, Bowen Hu, Chong Zhou, Xiaojin Wu

  • April 21, 2026

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