Research map: Intratumor habitat aware deep learning framework for preoperative lymph node metastasis prediction in laryngeal carcinoma

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Papers in this map

  1. MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy · Jaeseung Shin · 2022 · 254 citations · Cited by this paper
  2. Preoperative dual-ROI mpMRI radiomics integrating intratumoral and periprostatic adipose tissue features with clinical factors for predicting positive surgical margins after radical prostatectomy · 2026 · Related
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  7. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study · Yanfen Cui · 2022 · 185 citations · Cited by this paper
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  11. Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study · Wenlun Wang · 2024 · 105 citations · Cited by this paper
  12. Magnetic resonance biomarkers in detection and characterisation of ovarian cancer: is magnetic resonance spectroscopy ready for clinical use? · 2026 · Related
  13. Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer · Min Hou · 2022 · 100 citations · Cited by this paper
  14. Dynamic nomogram for predicting axillary lymph node metastasis in breast cancer based on MRI analysis and the platelet-to-lymphocyte ratio (PLR) · 2026 · Related
  15. Updated disease distributions, risk factors, and trends of laryngeal cancer: a global analysis of cancer registries · Junjie Huang · 2023 · 95 citations · Cited by this paper
  16. Habitat-based imaging and peritumoral radiomics on ultrasound images for predicting lymphovascular invasion in breast invasive ductal carcinoma: a two-center study · 2026 · Related
  17. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study · Yunlang She · 2022 · 92 citations · Cited by this paper
  18. Quantitative assessment of tumor burden in multiple myeloma using MY-RADS from whole-body MRI: comparison with established prognostic biomarkers · 2026 · Related
  19. The progress of multimodal imaging combination and subregion based radiomics research of cancers · Luyuan Zhang · 2022 · 88 citations · Cited by this paper
  20. Evaluation of audiovisual and auditory interventions on exam anxiety during whole-body magnetic resonance imaging in cancer patients: a quasi-experimental study · 2026 · Related
  21. Tumor Subregion Evolution-Based Imaging Features to Assess Early Response and Predict Prognosis in Oropharyngeal Cancer · Jia Wu · 2019 · 73 citations · Cited by this paper
  22. Clinical and translational relevance of intratumor heterogeneity · Marie-Anne Goyette · 2023 · 58 citations · Cited by this paper
  23. CT-based quantification of intratumoral heterogeneity for predicting pathologic complete response to neoadjuvant immunochemotherapy in non-small cell lung cancer · Guanchao Ye · 2024 · 52 citations · Cited by this paper
  24. A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture · Yisak Kim · 2024 · 49 citations · Cited by this paper
  25. Breast Cancer Metastatic Dormancy and Relapse: An Enigma of Microenvironment(s) · Islam E. Elkholi · 2022 · 48 citations · Cited by this paper
  26. Primary head and neck tumour-derived fibroblasts promote lymphangiogenesis in a lymphatic organotypic co-culture model · Karina M. Lugo-Cintrón · 2021 · 44 citations · Cited by this paper
  27. Radiomics analysis of CT imaging improves preoperative prediction of cervical lymph node metastasis in laryngeal squamous cell carcinoma · Xingguo Zhao · 2022 · 37 citations · Cited by this paper
  28. Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell lung cancer · Yuepeng Li · 2024 · 30 citations · Cited by this paper
  29. Nodal Metastasis Count and Oncologic Outcomes in Head and Neck Cancer: A Secondary Analysis of NRG/RTOG 9501, NRG/RTOG 0234, and EORTC 22931 · Diana J. Lu · 2022 · 23 citations · Cited by this paper
  30. Non-invasive molecular imaging for precision diagnosis of metastatic lymph nodes: opportunities from preclinical to clinical applications · Zhongquan Cheng · 2022 · 23 citations · Cited by this paper
  31. MRI Detection of Lymph Node Metastasis through Molecular Targeting of C–C Chemokine Receptor Type 2 and Monocyte Hitchhiking · Noah T. Trac · 2024 · 18 citations · Cited by this paper
  32. High-Accuracy Nodal Staging of Head and Neck Cancer With USPIO-Enhanced MRI · Daphne A. J. J. Driessen · 2022 · 17 citations · Cited by this paper
  33. Advancing lymph node metastasis in head and neck squamous cell carcinoma: Integrative mechanisms, emerging diagnostics, and translational therapies · Qiyue Cai · 2025 · 12 citations · Cited by this paper
  34. Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks · Juntian Qi · 2025 · 11 citations · Cited by this paper
  35. Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients · Ying Wang · 2025 · 7 citations · Cited by this paper
  36. Artificial Intelligence–Assisted Detection of Breast Cancer Lymph Node Metastases in the Post-Neoadjuvant Treatment Setting · Tony Xu · 2025 · 4 citations · Cited by this paper
  37. The diagnostic accuracy of MRI radiomics in axillary lymph node metastasis prediction: a systematic review and meta-analysis · Mahsa Motiei · 2025 · 4 citations · Cited by this paper
  38. A novel approach to evaluation of tumor response for advanced pulmonary adenocarcinoma using the intertumoral heterogeneity response score · Xinlong Zheng · 2024 · 3 citations · Cited by this paper
  39. Peritumor Mucosa in Advanced Laryngeal Carcinoma Exhibits an Aberrant Proangiogenic Signature Distinctive from the Expression Pattern in Adjacent Tumor Tissue · Silva Garo Kyurkchiyan · 2024 · 2 citations · Cited by this paper

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