ArticleInsights into imaging2025
Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer.
Article in Insights into imaging, 2025. 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.
- CT-derived tumor extracellular volume fraction for predicting recurrence in non-muscle-invasive bladder cancer.Abdominal radiology (New York) · 2026Article
- Preoperative colon cancer nodal staging using dual-energy CT and clinically derived features.European radiology · 2026Article
- Clinical indicators combined with spectral CT in differentiating non-muscle-invasive bladder urothelial carcinoma from cystitis glandularis.Abdominal radiology (New York) · 2026Article
- Spectral CT-derived quantitative imaging parameters combined with inflammatory markers for exploratory preoperative grading of bladder cancer.Frontiers in oncology · 2026Article
- Precision imaging biomarkers for gout: artifact-specific spectral CT parameters for personalized differentiation of tophi in a prospective study.Therapeutic advances in musculoskeletal disease · 2026Article
- Diagnostic Value of Spectral CT-Derived Extracellular Volume Fraction in the Early Detection of Sigmoid Colon Metastasis from Bladder Cancer: A Case Report.Surgical case reports · 2026Article
- Dual-Layer Spectral CT for Advanced Tissue Characterization: Differentiating Bladder Neoplasm from Intraluminal Thrombus-A Case Report.Reports (MDPI) · 2025Article
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Authors and funding
14 authors.
Funding
Abstract
objectivesThis study aimed to investigate the diagnostic value of spectral parameters of dual-layer spectral detector computed tomography (DLCT) in distinguishing between low- and high-grade bladder cancer (BCa).
methodsThis single-center retrospective study included pathologically confirmed BCa patients who underwent preoperative contrast-enhanced DLCT. Patients were divided into low- and high-grade groups based on pathology. We measured and calculated the following spectral CT parameters: iodine density (ID), normalized ID (NID), arterial enhancement fraction (AEF), extracellular volume (ECV) fraction, virtual non-contrast (VNC), slope of the attenuation curve, and Z effective (Z
resultsThe study included 64 patients (mean age, 64 ± 11.0 years; 46 men), of whom 42 had high-grade BCa and 22 had low-grade BCa. Univariate analysis revealed that differences in ID and NID in the corticomedullary phase, AEF, ECV, VNC, and Z
conclusionUsing DLCT AEF could help distinguish high-grade from low-grade BCa. CRITICAL RELEVANCE STATEMENT: This research demonstrates that the arterial enhancement fraction (AEF), a parameter derived from dual-layer spectral detector CT (DLCT), effectively distinguishes between high- and low-grade bladder cancer, thereby aiding in the selection of appropriate clinical treatment strategies. KEY POINTS: This study investigated the value of dual-layer spectral detector CT in the assessment of bladder cancer (BCa) histological grade. The spectral parameter arterial enhancement fraction could help determine BCa grade. Our results can help clinicians formulate initial treatment strategies and improve prognostications.
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