AI Article Synopsis
- The study examines the use of diffusion-weighted imaging (DWI) to estimate capillary blood volume in the kidneys, which could help predict renal function after surgery in patients with upper-tract urothelial carcinoma (UTUC).
- Researchers analyzed images from 48 patients who underwent surgery, creating detailed maps of kidney blood volume, and calculated the split renal function using these DWI signals.
- The results showed a strong correlation between DWI-based assessments and actual postoperative kidney function, indicating that this noninvasive imaging technique can effectively aid in managing UTUC patients post-surgery.
Article Abstract
Introduction: The diffusion-weighted imaging (DWI) technique with intravoxel incoherent motion model enables the estimation of capillary blood volume as a perfusion-related parameter- (PP-) value. Therefore, the PP-value of the kidney theoretically reflects renal capillary blood volume. We analyzed the usefulness of the PP-value in estimating postoperative renal function in upper-tract urothelial carcinoma (UTUC) patients.
Methods: Forty-eight consecutive patients who underwent magnetic resonance imaging before radical nephroureterectomy from 2011 to 2018 were analyzed. A PP-map displaying PP-values on a pixel-by-pixel basis was created from DWI signals (b-values of 0, 500, and 1,000 s/mm2). Two readers independently analyzed the renal PP-value. DWI-based split renal function (SRF) of the intact kidney was calculated by splitting serum Cr-based preoperative estimated glomerular filtration rates (eGFRs). The predictive accuracy of the method was evaluated using renography as the reference standard.
Results: Interobserver analysis revealed an excellent correlation value of 0.97. The SRF value showed a good linear correlation with the observed postoperative eGFR (r = 0.76, p < 0.001). The predictive accuracy of the DWI-based method was similar to that of the nuclear-based method.
Conclusion: This DWI-based evaluation of capillary blood volume provides a noninvasive tool for predicting the postoperative renal function, thereby facilitating the management of UTUC patients.
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| http://dx.doi.org/10.1159/000512878 | DOI Listing |
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