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Updated: Nov 20, 2025

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
Virtual Unenhanced Dual-Energy CT Images Obtained with a Multimaterial Decomposition Algorithm: Diagnostic Value for
Jennifer M Xiao1, Daniel S Hippe1, Mladen Zecevic1
1From the Department of Radiology, University of Washington School of Medicine, Box 357115, 1959 NE Pacific St, Seattle, WA 98195 (J.M.X., D.S.H., M.Z., D.A.Z., L.M.C., G.V.T., M.K.D., R.B.O., W.P.S., C.L.W., A.M.); and Global Research Organization, GE Healthcare, Houston, Tex (A.G.C.).
Virtual unenhanced (VUE) CT images show promise for abdominal diagnostics, maintaining renal mass classification accuracy. However, VUE images demonstrate suboptimal performance for detecting small urinary stones compared to true unenhanced (TUE) images.
Area of Science:
- Radiology
- Medical Imaging
- Dual-Energy CT
Background:
- Virtual unenhanced (VUE) images from dual-energy CT (DECT) multimaterial decomposition algorithms offer potential for abdominal diagnostics.
- These VUE images are being evaluated as a substitute for true unenhanced (TUE) images.
Purpose of the Study:
- To assess the diagnostic utility of VUE images generated by a DECT multimaterial decomposition algorithm.
- The study focused on patients undergoing evaluation for renal masses and urinary stones.
Main Methods:
- A retrospective analysis compared VUE and TUE images quantitatively and qualitatively.
- Four radiologists assessed image quality and diagnostic performance.
- Statistical analysis included limits of agreement for attenuation differences and receiver operating characteristic curves for stone detection.
Main Results:
- Renal mass attenuation differences between VUE and TUE images were minimal (within 3 HU).
- Classification of renal masses (enhancing vs. non-enhancing cysts) remained unchanged.
- VUE images showed lower diagnostic performance for urinary stone detection compared to TUE images, particularly for stones ≤3 mm.
Conclusions:
- VUE images are unlikely to alter renal mass classification accuracy.
- The diagnostic performance of VUE images for detecting small urinary stones remains suboptimal.
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