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September 20, 2025Oncology LettersOpen Access

Progress of MRI‑based radiomics and deep learning for predicting the prognosis of locally advanced rectal cancer (Review)

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Recent advancements in mri-based radiomics enhance predictive performance for patients with locally advanced rectal cancer.
Single-sequence mri radiomics models show AUCs between 0.79-0.87 for predicting local recurrence and distant metastasis.
Deep learning models demonstrate superior predictive capabilities, with concordance indices ranging from 0.82 to 0.94.
Identifying adverse prognostic factors is crucial for improving long-term survival outcomes in patients with locally advanced rectal cancer.

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Implication

Review highlights advancements in mri-based radiomics and deep learning, improving prognosis prediction in patients with locally advanced rectal cancer.

Cite This Study

Shi et al. (2025) studied this question.

synapsesocial.com/papers/68d469c831b076d99fa66715 https://doi.org/10.3892/ol.2025.15282

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Implication

Review highlights advancements in mri-based radiomics and deep learning, improving prognosis prediction in patients with locally advanced rectal cancer.

Progress of MRI‑based radiomics and deep learning for predicting the prognosis of locally advanced rectal cancer (Review)

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Discussion

Implication

Cite This Study

Progress of MRI‑based radiomics and deep learning for predicting the prognosis of locally advanced rectal cancer (Review)

Key Points

Discussion

Implication

Cite This Study

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