SynthesisInternational journal of clinical oncology2019
Diagnostic accuracy of magnetic resonance imaging and computed tomography for lateral lymph node metastasis in rectal cancer: a systematic review and meta-analysis.
Synthesis in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Artificial intelligence in magnetic resonance imaging for predicting lymph node metastasis in rectal cancer patients: a meta-analysis.European radiology · 2025Pooled it
- Diagnostic performance of magnetic resonance imaging for lateral pelvic lymph node metastasis in patients with rectal carcinoma: a meta-analysis and systematic review.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Pooled it
- Diagnostic performance of conventional and advanced imaging modalities for assessing newly diagnosed cervical cancer: systematic review and meta-analysis.European radiology · 2020Pooled it
- Validation of Magnetic Resonance Imaging-Based Diagnostic Criteria for Lateral Lymph Node Dissection in Rectal Cancer: A Multicenter Prospective Study.Journal of the anus, rectum and colon · 2026Article
- Interpretable Machine Learning Models for Predicting Lateral Pelvic Lymph Node Metastasis in Rectal Cancer: A Chinese Multicenter Retrospective Study.JCO precision oncology · 2025Article
- Clinical characteristics and predictive factors of pathological lateral pelvic lymph node metastasis in patients with rectal cancer.Molecular and clinical oncology · 2025Article
- Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancer.European radiology · 2025Article
- The risk factors of lymph node metastasis in early colorectal cancer: a predictive nomogram and risk assessment.International journal of colorectal disease · 2024Article
- 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
- Identification of lateral pelvic nodes without metastasis in patients with rectal cancer treated with preoperative chemoradiotherapy or chemotherapy based on magnetic resonance imaging.Annals of gastroenterological surgery · 2024Article
- The Polish Society of Gynecological Oncology Guidelines for the Diagnosis and Treatment of Cervical Cancer (v2024.0).Journal of clinical medicine · 2024Article
- Management of internal iliac and obturator lymph nodes in mid-low rectal cancer.World journal of surgical oncology · 2024Review
- Contemporary management of rectal cancer.Surgery open science · 2024Article
- Exploring Potential Epigenetic Biomarkers for Colorectal Cancer Metastasis.International journal of molecular sciences · 2024Review
- Multiregional-based magnetic resonance imaging radiomics model for predicting tumor deposits in resectable rectal cancer.Abdominal radiology (New York) · 2023Article
- Lateral pelvic lymph nodes for rectal cancer: A review of diagnosis and management.World journal of gastrointestinal oncology · 2021Review
- High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer.Abdominal radiology (New York) · 2021Article
- Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer.Frontiers in oncology · 2021Article
- Lateral lymph node dissection for low rectal cancer: Is it necessary?World journal of gastroenterology · 2019Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
purposeAccurate diagnosis of lateral lymph node metastasis is a major concern in rectal cancer. Metastasis is not only a poor prognostic factor, but it can also affect decisions about treatment options, such as preoperative chemoradiotherapy and lateral lymph node dissection. The purpose of this review was to assess the diagnostic performance of magnetic resonance imaging and computed tomography for lateral lymph node metastasis in rectal cancer.
methodsA literature search was systematically performed using PubMed, Scopus, and the Cochrane Central Register of Controlled Trials. All studies in which preoperative magnetic resonance imaging or computed tomography findings involving the lateral lymph nodes were compared with pathologic findings were included. Two authors independently assessed the literature and extracted the data, and any disagreement was resolved by discussion. Pooled sensitivity, specificity, and diagnostic odds ratios were estimated using hierarchical summary receiver-operating characteristic curve analysis. The methodologic quality of the included studies was assessed using the QUADAS-2 tool.
resultsNine studies were included in the meta-analysis of magnetic resonance imaging. The pooled sensitivity, specificity, and diagnostic odds ratio for magnetic resonance imaging were 0.72 [95% confidence interval (CI) 0.66-0.78], 0.80 (95% CI 0.73-0.85), and 10.2 (95% CI 6.4-16.3), respectively. Pooled analyses were not conducted for computed tomography because of the small number of studies (only three could be identified) and the wide range in diagnostic performance between these studies.
conclusionsMagnetic resonance imaging was useful to diagnose lateral lymph node metastasis in rectal cancer, especially due to high specificity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.