ArticleEuropean radiology2017
Chemical shift effect predicting lymph node status in rectal cancer using high-resolution MR imaging with node-for-node matched histopathological validation.
Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Magnetic Resonance Imaging Evaluation of the Accuracy of Various Lymph Node Staging Criteria in Rectal Cancer: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Radiological staging clinical decision support model for rectal cancer lymph node metastasis detection on MRI.BMC cancer · 2026Article
- Lymph nodes in MRI-based early-stage rectal cancer: can MRI accurately predict lymph node involvement?European radiology · 2026Article
- The Avocado Sign: A novel imaging marker for nodal staging in rectal cancer.European radiology · 2025Article
- Deformable Mapping of Rectal Cancer Whole-Mount Histology with Restaging MRI at Voxel Scale: A Feasibility Study.Radiology. Imaging cancer · 2024Article
- Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer.World journal of gastrointestinal oncology · 2024Article
- T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.Insights into imaging · 2024Article
- Technique to match mesorectal lymph nodes imaging findings to histopathology: node-by-node comparison.Journal of cancer research and clinical oncology · 2023Article
- Establishment and validation of nomograms for predicting mesorectal lymph node staging and restaging.International journal of colorectal disease · 2022Article
- Role of one-step nucleic acid amplification in colorectal cancer lymph node metastases detection.World journal of gastroenterology · 2022Review
- Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective.Journal of clinical medicine · 2022Review
- Intra- and Interobserver Variability in Magnetic Resonance Imaging Measurements in Rectal Cancer Patients.Cancers · 2021Article
- Prognostic risk factors and survival models for T3 locally advanced rectal cancer: what can we learn from the baseline MRI?European radiology · 2021Article
- A magnetic resonance imaging (MRI)-based nomogram for predicting lymph node metastasis in rectal cancer: a node-for-node comparative study of MRI and histopathology.Quantitative imaging in medicine and surgery · 2021Article
- Preoperative volumetric synthetic magnetic resonance imaging of the primary tumor for a more accurate prediction of lymph node metastasis in rectal cancer.Quantitative imaging in medicine and surgery · 2021Article
- Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer.European radiology · 2021Article
- Dual-energy computed tomography could reliably differentiate metastatic from non-metastatic lymph nodes of less than 0.5 cm in patients with papillary thyroid carcinoma.Quantitative imaging in medicine and surgery · 2021Article
- Histogram Analysis of Diffusion-Weighted Magnetic Resonance Imaging as a Biomarker to Predict Lymph Node Metastasis in T3 Stage Rectal Carcinoma.Cancer management and research · 2021Article
- MRI of rectal cancer-relevant anatomy and staging key points.Insights into imaging · 2020Review
- Comparison of Changes in Disease-Free and Overall Survival of Resectable Rectal Adenocarcinoma between 2010 and 2015.Visceral medicine · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
objectivesTo evaluate the value of the chemical shift effect (CSE) as well as other criteria for the prediction of lymph node status. MATERIALS AND
methodsTwenty-nine patients who underwent radical surgery of rectal cancers were studied with pre- and postoperative specimen MRI. Lymph nodes were harvested from transverse whole-mount specimens and compared with in vivo and ex vivo images to obtain a precise slice-for-section match. Preoperative MR characteristics including CSE, as well as other predictors, were evaluated by two readers independently between benign and metastatic nodes.
resultsA total of 255 benign and 35 metastatic nodes were obtained; 71.4% and 69.4% of benign nodes were detected with regular CSE for two readers, whereas 80.0% and 74.3% of metastatic nodes with absence of CSE. The CSE rendered areas under the ROC curve (AUC) of 0.879 and 0.845 for predicting nodal status for two readers. The criteria of nodal location, border, signal intensity and minimum distance to the rectal wall were also useful but with AUCs (0.629-0.743) lower than those of CSE.
conclusionsCSE is a reliable predictor for differentiating benign from metastatic nodes. Additional criteria should be taken into account when it is difficult to determine the nodal status by using only a single predictor. KEY POINTS: • CSE is good for predicting nodal status with high confidence. • Nodal border and signal intensity are useful for assessing nodal status. • Location of mesorectal nodes could facilitate the prediction of nodal status. • Primary tumour stage could be used as reference for nodal staging.
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