ArticleDiagnostic and interventional radiology (Ankara, Turkey)
Dual-energy CT characteristics of colon and rectal cancer allows differentiation from stool by dual-source CT.
Article in Diagnostic and interventional radiology (Ankara, Turkey). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Dual-Layer Spectral CT for Locoregional Assessment of Rectal Cancer: A Comparison with MRI in a Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Differentiation of tumor budding grade in colon cancer using noise-optimized virtual monoenergetic image in dual-energy CT.Abdominal radiology (New York) · 2026Article
- Dual-Energy CT in Oncologic Imaging.Tomography (Ann Arbor, Mich.) · 2024Review
- Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules.Quantitative imaging in medicine and surgery · 2022Article
- A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal Cancer.Frontiers in oncology · 2022Article
- Core curriculum illustration: colonic intussusception due to pedunculated lipoma.Emergency radiology · 2020Article
- Dual-energy CT in colorectal cancers: beyond the density measurements.Diagnostic and interventional radiology (Ankara, Turkey)Article
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Abstract
purposeWe aimed to determine dual-energy computed tomography (DECT) characteristics of colorectal cancer and investigate effectiveness of DECT method in differentiating tumor from stool in patients with colorectal cancer.
methodsFifty consecutive patients with colorectal tumors were enrolled. Staging was performed by DECT (80-140 kV) using dual-source CT after rectal air insufflation and without bowel preparation. Both visual and quantitative analyses were performed at 80 kV and 140 kV, on iodine map and virtual noncontrast (VNC) images.
resultsAll colorectal tumors had homogeneous pattern on iodine map. Stools demonstrated heterogeneous pattern in 86% (43/50) and homogeneous pattern in 14% (7/50) on iodine maps and were less visible on VNC images. Median density of tumors was 54 HU (18-100 HU) on iodine map and 28 HU (11-56 HU) on VNC images. Median density of stool was 36.5 HU (8-165 HU) on iodine map and -135.5 HU (-438 HU to -13 HU) on VNC images. The density of stools was significantly lower than tumors on both iodine map and VNC images (P < 0.001). The cutoff point of density measurement on VNC images was -1 HU with area under the curve of 1 and a sensitivity and specificity of 100%.
conclusionDensity or visual analysis of iodine map and VNC DECT images allow accurate differentiation of tumor from stool.
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