ArticleInternational journal of colorectal disease2017
Prediction of lateral pelvic lymph node metastasis from lower rectal cancer using magnetic resonance imaging and risk factors for metastasis: Multicenter study of the Lymph Node Committee of the Japanese Society for Cancer of the Colon and Rectum.
Article in International journal of colorectal disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- MRI for prognosis prediction of T3-stage rectal cancer based on "DISTANCE" structural report.Abdominal radiology (New York) · 2026Article
- Lateral pelvic lymph node positivity (LPLNP) score: predictive clinic-radiological model of lateral pelvic lymph node involvement in rectal cancer patients.International journal of colorectal disease · 2024Article
- Article
- A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer.Frontiers in physiology · 2024Article
- Computed tomography texture analysis for the prediction of lateral pelvic lymph node metastasis of rectal cancer.World journal of surgical oncology · 2022Article
- Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective.Journal of clinical medicine · 2022Review
- The Effectiveness of Machine Learning in Predicting Lateral Lymph Node Metastasis From Lower Rectal Cancer: A Single Center Development and Validation Study.Annals of gastroenterological surgery · 2022Article
- Development and External Validation of a Preoperative Nomogram for Predicting Lateral Pelvic Lymph Node Metastasis in Patients With Advanced Lower Rectal Cancer.Frontiers in oncology · 2022Article
- Clinical implication and management of rectal cancer with clinically suspicious lateral pelvic lymph node metastasis: A radiation oncologist's perspective.Frontiers in oncology · 2022Review
- Clinical TNM staging for esophageal, gastric, and colorectal cancers in the era of neoadjuvant therapy: A systematic review of the literature.Annals of gastroenterological surgery · 2021Review
- MRI of rectal cancer-relevant anatomy and staging key points.Insights into imaging · 2020Review
- Laparoscopic and robotic lateral lymph node dissection for rectal cancer.Surgery today · 2020Review
- Diagnostic and management strategies for lateral pelvic lymph nodes in low rectal cancer-a review of the evidence.Journal of gastrointestinal oncology · 2019Review
- Dual energy CT is useful for the prediction of mesenteric and lateral pelvic lymph node metastasis in rectal cancer.Molecular and clinical oncology · 2019Article
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe goal of the study was to examine prediction of lateral pelvic lymph node (LPLN) metastasis from lower rectal cancer using a logistic model including risk factors for LPLN metastasis and magnetic resonance imaging (MRI) clinical LPLN (cLPLN) status, compared to prediction based on MRI alone.
methodsThe subjects were 272 patients with lower rectal cancer who underwent MRI prior to mesorectal excision combined with LPLN dissection (LPLD) at six institutes. No patients received neoadjuvant therapy. Prediction models for right and left pathological LPLN (pLPLN) metastasis were developed using cLPLN status, histopathological grade, and perirectal lymph node (PRLN) status. For evaluation, data for patients with left LPLD were substituted into the right-side equation and vice versa.
resultsLeft LPLN metastasis was predicted using the right-side model with accuracy of 86.5%, sensitivity 56.4%, specificity 92.7%, positive predictive value (PPV) 61.1%, and negative predictive value (NPV) 91.2%, while these data using MRI cLPLN status alone were 80.4, 76.9, 81.2, 45.5, and 94.5%, respectively. Similarly, right LPLN metastasis was predicted using the left-side equation with accuracy of 83.8%, sensitivity 57.8%, specificity 90.4%, PPV 60.5%, and NPV 89.4%, and the equivalent data using MRI alone were 78.4, 68.9, 80.8, 47.7, and 91.1%, respectively. The AUCs for the right- and left-side equations were significantly higher than the equivalent AUCs for MRI cLPLN status alone.
conclusionsA logistic model including risk factors for LPLN metastasis and MRI findings had significantly better performance for prediction of LPLN metastasis compared with a model based on MRI findings alone.
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