RATIONALE AND OBJECTIVES: Total renal volume ( @entity15510 ) is an important quantitative indicator of the progression of @entity8 ( @entity8 ). The Consortium for Radiologic Imaging Studies of @entity8 proposes a method for @entity15510 computation based on manual tracing and geometric modeling. Alternative approaches for @entity15510 computation are represented by the application of advanced image processing techniques. In this study, we aimed to compare @entity15510 estimates derived from these two different approaches. MATERIALS AND METHODS: The nearly automated technique for the analysis of magnetic resonance (MR) images was tested on 30 @entity8 @entity1 . @entity15510 was computed from both axial (KVax) and coronal (KVcor) acquisitions and compared to measurements based on geometric modeling (KVap) by linear regression and Bland-Altman analysis. In addition, to assess reproducibility, intraobserver and interobserver variabilities were computed. RESULTS: Linear regression analysis between KVax and KVcor resulted in an excellent correlation (KVax  =  1KVcor - 0.78; r(2)  =  0.997). Bland-Altman analysis showed a negligible bias and narrow limits of agreement (bias: -11.7  mL; SD: 54.3  mL). Similar results were obtained by comparison of volumes obtained applying the nearly automated method and the one based on geometric modeling (y  =  0.98x + 75.9; r(2)  =  0.99; bias: -53.7  mL; SD: 108.1  mL). Importantly, geometric modeling does not provide reliable @entity15510 estimates in huge kidney affected by regional deformation. Intraobserver and interobserver variability resulted in very small percentage error <2%. CONCLUSIONS: The results of this study provide the feasibility of using a nearly automated approach for accurate and fast evaluation of @entity15510 also in markedly enlarged @entity8 kidneys including exophytic cysts.

Reliability of Total Renal Volume Computation in XXXX From Magnetic Resonance Imaging.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity15510 :: ('12295', 'Species') :: ['TRV'] @entity8 :: ('MESH:D007674', 'Disease') :: ['Polycystic Kidney Disease', 'autosomal dominant polycystic kidney disease', 'ADPKD']
@entity8 :: (MESH:D007674,Disease) :: ['Polycystic Kidney Disease']
