ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
MRI-Derived Lymph Nodes Morphological and Topological Structure (LNs-MTS) Model for Evaluating Immune Status and Prognosis in Rectal Cancer.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Deep learning-driven MRI radiomics reveals biological subtypes and predicts recurrence risk in rectal cancer.NPJ precision oncology · 2026Article
- Deep learning-based radiomics and pathomics for decoding tumor microenvironment and predicting immunotherapy outcomes in gastric cancer.Frontiers in immunology · 2026Review
- MRI-Derived Lymph Nodes Morphological and Topological Structure (LNs-MTS) Model for Evaluating Immune Status and Prognosis in Rectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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16 authors.
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Abstract
Tumor-draining lymph nodes (LNs) immune status critically influences cancer progression and treatment response, yet reliable non-invasive assessment remains clinically unavailable. To address this critical gap, an MRI-derived LNs morphological and topological structure (LNs-MTS) model is developed to evaluate the immune status of LNs in rectal cancer (RC). Integrating multicenter imaging, transcriptomic, and immunohistochemical data from 1,156 stage I-II RC patients, enhanced immune activation in non-metastatic LNs sized ≥0.5 cm and located ≥5 cm from the primary tumor is discovered. Then two quantitative MRI-derived imaging features across 7,030 radiologically annotated LNs: total LNs volume (tLNV) and total LNs drainage distance (tLND) is developed, forming the basis of the LNs-MTS model risk subtypes: high-risk (HRS), moderate-risk (MRS), and low-risk (LRS). Patients in the LRS (characterized by large tLNV and distant tLND) show robust immune cell infiltration in the tumor microenvironment and excellent 5-year survival, whereas HRS (characterized by small tLNV and near tLND) show stromal dominance and poorer prognosis. Clinically, LNs-MTS offers a more precise and personalized risk assessment than current guideline-based risk stratification, potentially sparing stage II-LRS patients from unnecessary adjuvant treatment while identifying stage I-HRS individuals for more aggressive treatment, providing valuable insights for personalized treatment strategies in RC management.
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