Clinical trial · Interventional
MRI Functional Imaging Characteristics and Fat Quantification of CT-fat-free Renal Neoplasms: Relationships With Histological Classifications and Molecular Markers
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The knowledge of the histological diagnosis and its subtype of a renal parenchymal tumor is important for determine whether the choice of a specific regimen of chemotherapy, target therapy and immunotherapy could be suitable and effective for treating this tumor. Computed tomography (CT) has been considered as an excellent imaging modality for detecting intra-tumoral fat, and most of renal angiomyolipomas (AML) could be thus confidently diagnosed on computed tomography by showing intra-tumoral fat. However, if a renal parenchymal tumor has no detectable fat in the tumor on computed tomography, there is a long list of its diagnosis including benign neoplasms as angiomyolipoma with minimal fat, oncocytoma, metanephric adenoma, etc., epitheloid angiomyolipoma (eAML) malignant potential, malignant neoplasms as renal cell carcinoma (RCC), sarcoma, malignant eAML, etc. Furthermore, there are three kinds of anticancer drug (antiangiogenetic drug, mammalian target of rapamycin inhibitors, immune modulators, and whether the anticancer drug is effective mainly depending on subtypes of RCCs. Nonetheless, computed tomography could not reliably differentiate histological types of renal parenchymal masses except renal AMLs with abundant fat. Therefore, for patients without established diagnoses by imaging examinations, further biopsy of the renal tumor is usually mandatory to validate the histological diagnosis and subtype. Thus, this study plans to enroll 60 patients with renal parenchymal masses which show no intra-tumoral fat on computed tomography. All enrolled patients will undergo multiparametric and fat-detection magnetic resonance imaging (MRI).
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Kidney Neoplasms | Kidney Neoplasm | ONTOLOGY_EXACT | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| multiparametric and fat-detection magnetic resonance imaging (MRI) | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- multiparametric and fat-detection magnetic resonance imaging (MRI)
- description
- detecting the small amount of fat with the use of fat-detecting pulse sequences on MRI
- interventionNames
- Diagnostic Test: multiparametric and fat-detection magnetic resonance imaging (MRI)
Primary outcomes (3)
- measure
- MR characteristics assessment- T2WI
- timeFrame
- 3 years
- description
- T2-weighted images (T2WI)
- measure
- MR characteristics assessment- ADC
- timeFrame
- 3 years
- description
- Apparent diffusion coefficient (ADC)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 20 Years
Show eligibility criteria text
Inclusion Criteria: 1. Age ≥ 20 years old 2. Have renal parenchymal masses with no detectable intra-tumoral fat on computed tomography (CT) 3. Normal renal function (i.e.: estimated glomerular filtration rate ≧ 60 mL/min/1.73 m2) 4. No allergy history of iodinated contrast medium Exclusion Criteria: 1. Pregnant or lactating woman 2. Withdrawal of informed consent 3. Those who have not completed MRI 4. Those who did not receive renal tumor biopsy
References
Publications (0)
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