Functional Magnetic Resonance Urography in Children-Tips and Pitfalls.
Malgorzata GrzywinskaDominik ŚwiętońAgnieszka SabiszMaciej PiskunowiczPublished in: Diagnostics (Basel, Switzerland) (2023)
MR urography can be an alternative to other imaging methods of the urinary tract in children. However, this examination may present technical problems influencing further results. Special attention must be paid to the parameters of dynamic sequences to obtain valuable data for further functional analysis. The analysis of methodology for renal function assessment using 3T magnetic resonance in children. A retrospective analysis of MR urography studies was performed in a group of 91 patients. Particular attention was paid to the acquisition parameters of the 3D-Thrive dynamic with contrast medium administration as a basic urography sequence. The authors have evaluated images qualitatively and compared contrast-to-noise ratio (CNR), curves smoothness, and quality of baseline (evaluation signal noise ratio) in every dynamic in each patient in every protocol used in our institution. Quality analysis of the image (ICC = 0.877, p < 0.001) was improved so that we have a statistically significant difference in image quality between protocols (χ 2 (3) = 20.134, p < 0.001). The results obtained for SNR in the medulla and cortex show that there was a statistically significant difference in SNR in the cortex (χ 2 (3) = 9.060, p = 0.029). Therefore, the obtained results show that with the newer protocol, we obtain lower values of standard deviation for TTP in the aorta (in ChopfMRU: first protocol SD = 14.560 vs. fourth protocol SD = 5.599; in IntelliSpace Portal: first protocol SD = 15.241 vs. fourth protocol SD = 5.506). Magnetic resonance urography is a promising technique with a few challenges that arise and need to be overcome. New technical opportunities should be introduced for everyday practice to improve MRU results.
Keyphrases
- magnetic resonance
- randomized controlled trial
- contrast enhanced
- image quality
- end stage renal disease
- young adults
- chronic kidney disease
- healthcare
- high resolution
- newly diagnosed
- working memory
- primary care
- computed tomography
- urinary tract
- mental health
- functional connectivity
- mass spectrometry
- quality improvement
- case report
- aortic valve
- prognostic factors
- convolutional neural network