ArticleEuropean radiology2020
Papillary vs clear cell renal cell carcinoma. Differentiation and grading by iodine concentration using DECT-correlation with microvascular density.
Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 90 citations in OpenAlex.
- Dual-layer detector spectral CT-derived extracellular volume fraction combined with clinical parameters for predicting lymphovascular and perineural invasion in gastric cancer.Abdominal radiology (New York) · 2026Article
- Spectral CT in renal cell carcinoma: the promising role of dual-energy and photon-counting techniques.Abdominal radiology (New York) · 2026Review
- Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma.Insights into imaging · 2026Article
- Integration of dual-energy CT parameters and radiomics features for non-invasive prediction ofFrontiers in medicine · 2026Article
- The value of dual-energy CT radiomics in evaluating vascular maturity and prognosis in clear cell renal cell carcinoma.Discover oncology · 2025Article
- Nomogram for predicting tumor-stroma ratio in pancreatic ductal adenocarcinoma using dual-energy computed tomography.BMC medical imaging · 2025Article
- Dual-energy CT for evaluating the tumor regression grade of gastric cancer after neoadjuvant chemotherapy.European radiology · 2025Article
- Utilizing spectral detector computed tomography quantitative parameters via multimodality tumor tracking to predict occult lymph node metastasis in clinical stage 1 pure solid lung adenocarcinoma.Journal of thoracic disease · 2025Article
- Dual-energy computed tomography for predicting histological grading and survival in patients with pancreatic ductal adenocarcinoma.European radiology · 2025Article
- Multimodality Imaging Features of Papillary Renal Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2025Article
- Glomerular filtration rate in patients with renal space-occupying masses using combination of SPECTFrontiers in oncology · 2025Article
- Letter to the Editor: "Intra-patient variability of iodine quantification across different dual-energy CT platforms: assessment of normalization techniques".European radiology · 2024Article
- Tumor contour irregularity on preoperative CT predicts prognosis in renal cell carcinoma: a multi-institutional study.EClinicalMedicine · 2024Article
- Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.Heliyon · 2024Article
- Intra-patient variability of iodine quantification across different dual-energy CT platforms: assessment of normalization techniques.European radiology · 2024Article
- Estimation of renal function using iodine maps in dual-energy spectral computed tomography urography: a feasibility and accuracy study.Abdominal radiology (New York) · 2024Article
- Diagnosing cervical lymph node metastasis in oral squamous cell carcinoma based on third-generation dual-source, dual-energy computed tomography.European radiology · 2023Article
- Article
- Utility of dual-layer spectral-detector CT imaging for predicting pathological tumor stages and histologic grades of colorectal adenocarcinoma.Frontiers in oncology · 2022Article
- Vascular architectural patterns in clear cell renal cell carcinoma and clear cell papillary renal cell carcinoma.Virchows Archiv : an international journal of pathology · 2021Article
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10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesVarious imaging methods have been evaluated regarding non-invasive differentiation of renal cell carcinoma (RCC) subtypes. Dual-energy computed tomography (DECT) allows iodine concentration (IC) analysis as a correlate of tissue perfusion. Microvascular density (MVD) in histopathology specimens is evaluated to determine intratumoral vascularization. The objective of this study was to assess the potential of IC and MVD regarding the differentiation between papillary and clear cell RCC and between well- and dedifferentiated tumors. Further, we aimed to investigate a possible correlation between these parameters.
methodsDECT imaging series of 53 patients with clear cell RCC (ccRCC) and 15 with papillary RCC (pRCC) were analyzed regarding IC. Histology samples were stained using CD31/CD34 monoclonal antibodies; MVD was evaluated digitally. Statistical analysis included performance of Mann-Whitney U test, ROC analysis, and Spearman rank correlation.
resultsAnalysis of IC demonstrated significant differences between ccRCC and pRCC (p < 0.001). A cutoff value of ≤ 3.1 mg/ml at IC analysis allowed identification of pRCC with an accuracy of 86.8%. Within the ccRCC subgroup, G1/G2 tumors could significantly be differentiated from G3/G4 carcinomas (p = 0.045). A significant positive correlation between IC and MVD could be determined for the entire RCC cohort and the ccRCC subgroup. Limitations include the small percentage of pRCCs.
conclusionsIC analysis is a useful method to differentiate pRCC from ccRCC. The significant positive correlation between IC and MVD indicates valid representation of tumor perfusion by DECT. KEY POINTS: • Analysis of iodine concentration using DECT imaging could reliably distinguish papillary from clear cell subtypes of renal cell cancer (RCC). • A cutoff value of 3.1 mg/ml allowed a distinction between papillary and clear cell RCCs with an accuracy of 86.8%. • The positive correlation with microvascular density in tumor specimens indicates correct display of perfusion by iodine concentration analysis.
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