ArticleEuropean radiology2015
Accuracy of multidetector-row CT in diagnosing lymph node metastasis in patients with gastric cancer.
Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.
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Who cites it
59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.
- Comprehensive Computed Tomography Evaluation of Gastric Cancer: 2026 Consensus Recommendation From the Korean Society of Abdominal Radiology.Korean journal of radiology · 2026Guideline
- Diagnostic accuracy of node-RADS for the detection of lymph node invasion: a systematic review and meta-analysis.European radiology · 2025Pooled it
- Pooled it
- Article
- Evolving Paradigms in Gastric Cancer Staging: From Conventional Imaging to Advanced MRI and Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2026Review
- CT-based deep learning radiomics analysis for preoperative Lauren classification in gastric cancer and explore the tumor microenvironment.European journal of radiology open · 2025Article
- Spectral computed tomography-based quantitative parameters combined with extracellular volume fraction to predict lymph node metastases in gastric cancer.European radiology · 2025Article
- Modified RECIST submodels and ordinal regression model predict neoadjuvant chemoimmunotherapy response in locally advanced gastric cancer.Scientific reports · 2025Article
- Spectral CT radiomics features of the tumor and perigastric adipose tissue can predict lymph node metastasis in gastric cancer.Abdominal radiology (New York) · 2025Article
- Bi-regional and bi-phasic automated machine learning radiomics for defining metastasis to lesser curvature lymph node stations in gastric cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- A retrospective analysis of Gastric Cancer Lymph Nodes Based on Groups, Regions, and Stages.Surgery in practice and science · 2025Article
- Advanced diffusion-weighted MRI models for preoperative prediction of lymph node metastasis in resectable gastric cancer.Abdominal radiology (New York) · 2025Article
- Nomograms of risk prediction and prognosis for the T1-T2 stage gastric cancer with lymph node metastasis: a population-based study.Frontiers in medicine · 2025Article
- Diagnostic performance of Node Reporting and Data System (Node-RADS) for regional lymph node staging of gastric cancer by CT.European radiology · 2024Article
- A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer.Frontiers in medicine · 2024Article
- Prediction of lymph node metastasis in advanced gastric adenocarcinoma based on dual-energy CT radiomics: focus on the features of lymph nodes with a short axis diameter ≥6 mm.Frontiers in oncology · 2024Article
- The largest lymph node defined response to neoadjuvant chemotherapy can predict long-term prognosis in locally advanced gastric cancer.Abdominal radiology (New York) · 2023Article
- The role of computed tomography features in assessing response to neoadjuvant chemotherapy in locally advanced gastric cancer.BMC cancer · 2023Article
- LncRNA expression signature identified using genome-wide transcriptomic profiling to predict lymph node metastasis in patients with stage T1 and T2 gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023Article
- A thirty-three gene-based signature predicts lymph node metastasis and prognosis in patients with gastric cancer.Heliyon · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe purpose of this study was to determine the optimal cut-off value of lymph node size for diagnosing metastasis in gastric cancer with multidetector-row computed tomography (MDCT) after categorizing perigastric lymph nodes into three regions.
methodsThe study included 90 gastric cancer patients who underwent gastrectomy. The long-axis diameter (LAD) and short-axis diameter (SAD) of all visualized lymph nodes were measured with transverse MDCT images. The locations of lymph nodes were categorized into three regions: lesser curvature, greater curvature, and suprapancreatic. The diagnostic value of lymph node metastasis was assessed with receiver operating characteristic (ROC) analysis.
resultsThe area under the curve was larger for SAD than LAD in all groups. The optimal cut-off values of SAD were determined as follows: overall, 9 mm; differentiated type, 9 mm; undifferentiated type, 8 mm; lesser curvature region, 7 mm; greater curvature region, 6 mm; and suprapancreatic region, 9 mm. The diagnostic accuracies for lymph node metastasis using individual cut-off values were 71.1% based on histological type and 76.6% based on region of lymph node location.
conclusionsThe diagnostic accuracy of lymph node metastasis in gastric cancer was improved by using individual cut-off values for each lymph node region. KEY POINTS: • Multidetector-row computed tomography is widely used to predict pathological nodal status. • An optimal cut-off value of lymph node size has not been determined. • Cut-off values were assessed according to histology and nodal location. • The optimal cut-off values differed based on histology and nodal location. • Diagnostic accuracy was improved by using individual cut-off values for each region.
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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.