ArticleAnnals of surgical oncology2020
Radiomics Approach Outperforms Diameter Criteria for Predicting Pathological Lateral Lymph Node Metastasis After Neoadjuvant (Chemo)Radiotherapy in Advanced Low Rectal Cancer.
Article in Annals of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 6 syntheses or guidelines pooled it, 72 citations in OpenAlex.
- Artificial intelligence in colorectal surgery: an AI-powered systematic review.Techniques in coloproctology · 2023Pooled it
- Repeatability of radiomics studies in colorectal cancer: a systematic review.BMC gastroenterology · 2023Pooled it
- Risk factors for lateral pelvic lymph node metastasis in patients with lower rectal cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.World journal of surgery · 2022Pooled it
- Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.BMC cancer · 2021Pooled it
- Effects of Preoperative Radiotherapy on Long-Term Bowel Function in Patients With Rectal Cancer Treated With Anterior Resection: A Systematic Review and Meta-analysis.Technology in cancer research & treatmentPooled it
- Development and validation of an interpretable MRI-based multimodal fusion model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter study.Abdominal radiology (New York) · 2026Article
- Radiomics' Role in Predicting Distant Metastases, Recurrence and Survival Outcome in Rectal Cancer: A Systematic Review.Cancers · 2026Review
- MRI for prognosis prediction of T3-stage rectal cancer based on "DISTANCE" structural report.Abdominal radiology (New York) · 2026Article
- Predicting postoperative recurrence in colorectal cancer using MRI-derived radiomics features and their correlation with the tumor immune microenvironment.Gastroenterology report · 2026Article
- Kinetic heterogeneity is associated with axillary lymph node metastasis in cN0 breast cancer based on dynamic contrast-enhanced magnetic resonance imaging radiomics nomogram.Breast cancer (Tokyo, Japan) · 2026Article
- Non-invasive multi-phase CT artificial intelligence for predicting pre-treatment enlarged lymph node status in colorectal cancer: a prospective validation study.European radiology · 2025Article
- Deep learning model for predicting lymph node metastasis around rectal cancer based on rectal tumor core area and mesangial imaging features.BMC medical imaging · 2025Article
- Can Radiomics Predict Pathologic Complete Response After Neoadjuvant Chemoradiotherapy for Rectal Cancer? A Systematic Review and Meta-Analysis of Diagnostic-Accuracy Studies.Journal of personalized medicine · 2025Review
- Operative Strategies for Beyond Total Mesorectal Excision Surgery for Rectal Cancer.Annals of surgical oncology · 2025Review
- Predicting lateral pelvic lymph node metastasis in rectal cancer patients using MRI radiomics: a multicenter retrospective study.Scientific reports · 2025Article
- Factors associated with lymph node metastasis and survival in T2 colon cancer.BMC gastroenterology · 2025Article
- Machine learning prediction model for lateral lymph node metastasis in rectal cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2025Article
- Lateral Pelvic Recurrence in Rectal Cancer Is Not Local Recurrence but Lymphatic Metastasis.Journal of the anus, rectum and colon · 2025Article
- Management of internal iliac and obturator lymph nodes in mid-low rectal cancer.World journal of surgical oncology · 2024Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundAdvanced low rectal cancer has a non-negligible risk of lateral pelvic lymph node (LPLN) metastasis (LPLNM) and lateral local recurrence (LR) after neoadjuvant (chemo)radiotherapy and total mesorectal excision. LPLN dissection (LPLND) reduces LR but increases postoperative complications and sexual/urinary dysfunction.
objectiveThe aim of this study was to develop a new radiomics-based prediction model for LPLNM in patients with rectal cancer.
methodsA total of 247 patients with rectal cancer and enlarged LPLNs treated by (chemo)radiotherapy and LPLND were enrolled in this retrospective, multicenter study. LPLN radiomic features were extracted from pretreatment portal venous-phase computed tomography images. A radiomics score of LPLN was constructed based on the least absolute shrinkage and selection operator regression in a primary cohort of 175 patients. Model performance was assessed in terms of discrimination, calibration, and decision curve analysis, and was externally validated in 72 patients.
resultsThe radiomics score showed significantly better discrimination compared with pretreatment short-axis diameter measurements in both the primary (area under the curve [AUC] 0.91 vs. 0.83, p = 0.0015) and validation (AUC 0.90 vs. 0.80, p = 0.0298) cohorts. Decision curve analysis also indicated the superiority of the radiomics score. In a subanalysis of patients with a short-axis diameter ≥ 7 mm, the radiomics nomogram, incorporating the radiomics score and LPLN shrinkage to ≤ 4 mm, had better discrimination compared with a model incorporating only LPLN shrinkage in both cohorts.
conclusionsRadiomics-based prediction modeling provides individualized risk estimation of LPLNM in rectal cancer patients treated with (chemo)radiotherapy, and outperforms measurements of pretreatment LPLN diameter.
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