ArticleEuropean radiology experimental2024
Exploring the value of arterial spin labeling and six diffusion MRI models in differentiating solid benign and malignant renal tumors.
Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Navigating the diagnostic 'gray zone': prospective evaluation of an integrated MRI-Biomarker model for renal allograft triage.Annals of medicine · 2026Article
- Head-to-head comparison of quantitative perfusion parameters derived from DECT, IVIM, and DCE-MRI for renal mass characterization: a within-patient, prospective study.Abdominal radiology (New York) · 2026Article
- Precise zonal diagnosis: multi-b-value DWI model reveals differential predictors of clinically significant prostate cancer in peripheral and transition zones.Insights into imaging · 2026Article
- Evaluating the efficacy of virtual magnetic resonance elastography and continuous-time random walk models in predicting clinically significant prostate cancer.Abdominal radiology (New York) · 2026Article
- Assessment of renal interstitial fibrosis in glomerulonephritis using compartmental and non-compartmental diffusion magnetic resonance imaging.La Radiologia medica · 2026Article
- Intra- and inter-tumoural heterogeneity in von Hippel-Lindau disease-related renal cancer: a multimodal data study protocol.European radiology experimental · 2025Article
- Advanced diffusion-relaxation imaging for tumoral differentiation and metastasis prediction in oral tongue cancer.European radiology experimental · 2025Article
- Advances in renal cancer: diagnosis, treatment, and emerging technologies.La Radiologia medica · 2025Review
- Prediction of induction chemotherapy response in locoregionally advanced nasopharyngeal carcinoma based on three pretreatment non-Gaussian diffusion MRI models.BMC medical imaging · 2025Article
- Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes.European radiology experimental · 2025Article
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Abstract
objectiveTo explore the value of three-dimensional arterial spin labeling (ASL) and six diffusion magnetic resonance imaging (MRI) models in differentiating solid benign and malignant renal tumors.
methodsThis retrospective study included 89 patients with renal tumors. All patients underwent ASL and ZOOMit diffusion-weighted imaging (DWI) examinations and were divided into three groups: clear cell renal cell carcinoma (ccRCC), non-ccRCC, and benign renal tumors (BRT). The mean and peak renal blood flow (RBFmean and RBFpeak) from ASL and fourteen diffusion parameters from mono-exponential DWI (Mono_DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), fractional order calculus (FROC), and continuous-time random-walk (CTRW) model were analyzed. Binary logistic regression was used to determine the optimal parameter combinations. The diagnostic performance of various MRI-derived parameters and their combinations was compared.
resultsAmong the six diffusion models, the SEM model achieved the highest performance in differentiating ccRCC from non-ccRCC (area under the receiver operating characteristic curve [AUC] 0.880) and from BRT (AUC 0.891). IVIM model achieved the highest AUC (0.818) in differentiating non-ccRCC from BRT. Among all the MRI-derived parameters, RBFpeak combined with DKI_MK yielded the highest AUC (0.970) in differentiating ccRCC from non-ccRCC, and the combination of RBFpeak, SEM_DDC, and FROC_μ yielded the highest AUC (0.992) for differentiating ccRCC from BRT.
conclusionASL and all diffusion models showed similar diagnostic performance in differentiating ccRCC from non-ccRCC or BRT, while the IVIM model performed better in distinguishing non-ccRCC from BRT. Combining ASL with diffusion models can provide additional value in predicting ccRCC. RELEVANCE STATEMENT: Considering the increasing detection rate of incidental renal masses, accurate discrimination of benign and malignant renal tumors is crucial for decision-making. Combining ASL with diffusion MRI models offers a promising solution to this clinical issue. KEY POINTS: All assessed models were effective for differentiating ccRCC from non-ccRCC or BRT. ASL and all diffusion models showed similar performance in differentiating ccRCC from non-ccRCC or BRT. Combining ASL with diffusion models significantly improved diagnostic efficacy in predicting ccRCC. IVIM model could better differentiate non-ccRCC from BRT.
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