ArticleQuantitative imaging in medicine and surgery2021
A prospective study of dual-energy computed tomography for differentiating metastatic and non-metastatic lymph nodes of colorectal cancer.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 31 citations in OpenAlex.
- Dual-Layer Spectral CT for Locoregional Assessment of Rectal Cancer: A Comparison with MRI in a Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Article
- Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.Insights into imaging · 2026Review
- Multi-DECT image-based radiomics with interpretable machine learning for preoperative prediction of tumor budding grade and prognosis in colorectal cancer: a dual-center study.Abdominal radiology (New York) · 2026Article
- Electron Density Dual-energy CT for Liver Metastasis Detection Compared with Conventional and Virtual Monoenergetic Images at 40 keV.Current medical imaging · 2026Observational
- Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer.World journal of radiology · 2025Article
- Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging.BMC medical imaging · 2024Article
- Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.Heliyon · 2024Article
- Quantitative parameter analysis of pretreatment dual-energy computed tomography in nasopharyngeal carcinoma cervical lymph node characteristics and prediction of radiotherapy sensitivity.Radiation oncology (London, England) · 2024Article
- Impact of lymph node retrieval on prognosis in elderly and non-elderly patients with T3-4/N+ rectal cancer following neoadjuvant therapy: a retrospective cohort study.International journal of colorectal disease · 2024Article
- Dual-Energy Computed Tomography in Detecting and Predicting Lymph Node Metastasis in Malignant Tumor Patients: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2024Review
- Novel biomarkers based on dual-energy computed tomography for risk stratification of very early distant metastasis in colorectal cancer after surgery.Quantitative imaging in medicine and surgery · 2024Article
- Mono+ algorithm assessment of the diagnostic value of dual-energy CT for high-risk factors for colorectal cancer: a preliminary study.Quantitative imaging in medicine and surgery · 2024Article
- An attention-based neural network model for automatic partition of abdominal lymph nodes in CT imaging.Quantitative imaging in medicine and surgery · 2023Article
- Diagnosing cervical lymph node metastasis in oral squamous cell carcinoma based on third-generation dual-source, dual-energy computed tomography.European radiology · 2023Article
- Application of spectral CT in diagnosis, classification and prognostic monitoring of gastrointestinal cancers: progress, limitations and prospects.Frontiers in molecular biosciences · 2023Review
- Article
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6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is the third most common malignancy worldwide, and lymph node metastasis is considered to be a risk factor for local recurrence and a poor prognosis in colorectal cancer. However, there remains a lack of reliable and non-invasive biomarkers to identify the lymph node status of CRC patients preoperatively. The purpose of this study was to explore the ability of dual-energy computed tomography (DECT) to differentiate metastatic from non-metastatic lymph nodes in colorectal cancer.
methodsSeventy-one patients with primary colorectal cancer underwent contrast-enhanced dual-energy computed tomography imaging preoperatively. The colorectal specimen was scanned postoperatively, and lymph nodes were matched to the pathology report. The following dual-energy computed tomography quantitative parameters were analyzed: dual-energy curve slope value (λ
resultsIn all patients, one hundred and fifty lymph nodes, including 66 non-metastatic and 84 metastatic lymph nodes, were matched using the radiological-pathological correlation. Metastatic nodes had significantly greater λ
conclusionsDECT quantitative parameters may help differentiate between metastatic and normal lymph nodes in patients with CRC.
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