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December 5, 2025MedicineOpen Access

Developing a predictive model for the efficacy of neoadjuvant chemoradiotherapy in locally advanced rectal cancer using multiparametric magnetic resonance imaging: An innovative approach

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Authors

JCJing ChengNanjing University of Chinese Medicine

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Overview

Retrospective analysis shows predictive model achieves 87.53% accuracy in locally advanced rectal cancer, indicating potential in guiding chemoradiotherapy decisions.

Key Points

  • The predictive model shows high accuracy in assessing treatment efficacy in locally advanced rectal cancer.
  • Retrospective analysis revealed a classification accuracy of 87.53% based on multiparametric magnetic resonance imaging data.
  • A significant relationship was found between imaging parameters and tumor regression grade following neoadjuvant therapy.
  • The attention mechanism optimization may enhance predictive performance, supporting future applications in clinical settings.

Cite This Study

Jing Cheng (2025) studied this question.

synapsesocial.com/papers/6940225c2d562116f28fc6ddhttps://doi.org/10.1097/md.0000000000046209
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  1. 1Prediction of Treatment Efficacy in Locally Advanced Rectal Cancer Using a Clinical and Magnetic Resonance Imaging–Based Radiomics-Immunological Model for Total Neoadjuvant Therapy2025 · 1 citations
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  3. 3Predicting the prognosis of locally advanced rectal cancers after neoadjuvant chemoradiotherapy using quantitative MRI features and machine learning: A retrospective study2026
  4. 4Magnetic resonance imaging‐based radiomics analysis for prediction of treatment response to neoadjuvant chemoradiotherapy and clinical outcome in patients with locally advanced rectal cancer: A large multicentric and validated study2024 · 15 citations
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