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Investigation of renal lesions by diffusion-weighted magnetic resonance imaging applying intravoxel incoherent motion-derived parameters--initial experience.

Authors :
Rheinheimer S
Stieltjes B
Schneider F
Simon D
Pahernik S
Kauczor HU
Hallscheidt P
Source :
European journal of radiology [Eur J Radiol] 2012 Mar; Vol. 81 (3), pp. e310-6. Date of Electronic Publication: 2011 Nov 21.
Publication Year :
2012

Abstract

Purpose: Usefulness of biexponentially fitted signal attenuation at different b-values for differentiating the histological characteristics of renal tumors.<br />Materials and Methods: A total of 26 patients with 28 renal masses (histologically proven: 20 clear cell renal cell carcinomas [ccRCC], three transitional cell carcinomas, two oncocytomas, and one papillary RCC) and 30 volunteers with healthy kidneys were examined at 1.5 Tesla using an echo-planar DWI sequence. Using the IVIM model, we calculated the perfusion fraction f and the diffusion coefficient D. Furthermore, the ADC was obtained. These tumor parameters were compared to healthy renal tissue nonparametrically, and a receiver operating characteristic (ROC) analysis was performed.<br />Results: Healthy renal parenchyma showed higher ADC and D values (p<0.001) than ccRCC (ADC 1.95±0.10 [SD] μm2/ms, f 18.32±2.52%, and D 1.88±0.11 μm2/ms versus ADC 1.45±0.38 μm2/ms, f 18.59±6.16%, and D 1.34±0.38 μm2/ms). When detecting malignancies the area under the curve for D was higher than for ADC. The f values for ccRCC were higher (p<0.001) than for non-ccRCC (ADC 1.52±0.47 μm2/ms, f 8.44±1.24%, and D 1.30±0.18 μm2/ms). Both f and D correlated with ccRCC grading.<br />Conclusion: IVIM imaging is able to provide reliable diffusion values in the human kidney and may enhance the accuracy of tumor diagnosis. The D value was the best parameter to distinguish renal tumors from healthy renal tissue. The f value is promising for determining the histological subgroups.<br /> (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1872-7727
Volume :
81
Issue :
3
Database :
MEDLINE
Journal :
European journal of radiology
Publication Type :
Academic Journal
Accession number :
22104090
Full Text :
https://doi.org/10.1016/j.ejrad.2011.10.016