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In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
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Multiparametric MR for Solid Renal Mass Characterization
Matthew T Heller1, Alessandro Furlan2, Akira Kawashima1
1Department of Radiology, Mayo Clinic, Mayo Clinic Hospital, 5777 East Mayo Boulevard, PX SS 01 RADLGY, Phoenix, AZ 85054, USA.
Magnetic Resonance Imaging Clinics of North America
|July 7, 2020
Summary
Multiparametric MRI helps differentiate benign and malignant kidney masses. This imaging technique aids in diagnosing solid renal masses, guiding treatment decisions for better patient outcomes.
Area of Science:
- Radiology
- Oncology
- Nephrology
Background:
- Solid renal masses are increasingly detected via cross-sectional imaging.
- Differentiating benign from malignant renal masses is crucial for appropriate patient management.
- Renal cell carcinoma is common in large, heterogeneous masses, but smaller masses can be indeterminate.
Purpose of the Study:
- To evaluate the utility of multiparametric Magnetic Resonance (MR) imaging in differentiating benign from malignant solid renal masses.
- To assess the role of integrated multiparametric MR parameters in forming a differential diagnosis for renal masses.
- To determine the significance of multiparametric MR in the triage of patients with solid renal masses.
Main Methods:
- Utilized multiparametric MR imaging techniques.
- Integrated evaluation of multiple MR imaging parameters.
- Focused on noninvasive assessment of solid renal masses.
Main Results:
- Multiparametric MR imaging offers a noninvasive method for improved differentiation of renal masses.
- Integrated analysis of MR parameters can lead to a concise differential diagnosis.
- While not always definitive, MR imaging provides valuable diagnostic information.
Conclusions:
- Multiparametric MR imaging is a valuable tool for the noninvasive evaluation of solid renal masses.
- It aids in distinguishing between benign and malignant conditions, including renal cell carcinoma.
- This technique is critical for patient triage and informing treatment strategies based on morbidity, prognosis, and mortality.
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