The combination of mean and maximum Hounsfield Unit allows more accurate prediction of uric acid stones
Author:
Funder
the Natural Science Foundation of Hunan Province
Clinical Research Project of University of South China
the Hunan Provincial Clinical Medical Technology Innovation Guiding Project
Publisher
Springer Science and Business Media LLC
Subject
Urology
Link
https://link.springer.com/content/pdf/10.1007/s00240-022-01333-2.pdf
Reference24 articles.
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2. Boll DT, Patil NA, Paulson EK, Merkle EM, Simmons WN, Pierre SA, Preminger GM (2009) Renal stone assessment with dual-energy multidetector CT and advanced postprocessing techniques: improved characterization of renal stone composition–pilot study. Radiology 250:813–820. https://doi.org/10.1148/radiol.2503080545
3. Ganesan V, De S, Shkumat N, Marchini G, Monga M (2018) Accurately diagnosing uric acid stones from conventional computerized tomography imaging: development and preliminary assessment of a pixel mapping software. J Urol 199:487–494. https://doi.org/10.1016/j.juro.2017.09.069
4. Smith D, Patel U (2017) Ultrasonography vs computed tomography for stone size. BJU Int 119:361–362. https://doi.org/10.1111/bju.13735
5. Moore CL, Daniels B, Singh D, Luty S, Molinaro A (2013) Prevalence and clinical importance of alternative causes of symptoms using a renal colic computed tomography protocol in patients with flank or back pain and absence of pyuria. Acad Emerg Med 20:470–478. https://doi.org/10.1111/acem.12127
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