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MRI Functional Imaging Characteristics and Fat Quantification of CT-fat-free Renal Neoplasms: Relationships With Histological Classifications and Molecular Markers
Sponsor: Chang Gung Memorial Hospital
Summary
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).
Key Details
Gender
All
Age Range
20 Years - Any
Study Type
INTERVENTIONAL
Enrollment
44
Start Date
2019-02-11
Completion Date
2026-12-31
Last Updated
2026-03-20
Healthy Volunteers
No
Conditions
Interventions
multiparametric and fat-detection magnetic resonance imaging (MRI)
Differentiating of renal AMLs with minimal fat and RCCs
Locations (1)
Li-Jen Wang
Taoyuan District, Taiwan, Taiwan