Histogram of kidney stones on non-contrast computed tomography to predict successful stone dusting during retrograde intrarenal surgery
World Journal of Urology, ISSN: 1433-8726, Vol: 39, Issue: 9, Page: 3563-3569
2021
- 2Citations
- 9Captures
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Metrics Details
- Citations2
- Citation Indexes2
- Captures9
- Readers9
Article Description
Purpose: To predict successful dusting of kidney stones during retrograde intrarenal surgery (RIRS) using stone density parameters and histograms measured with non-contrast computed tomography imaging. Methods: Medical records of 49 patients who underwent retrograde intrarenal surgery between January 2018 and January 2019 at Kyung Hee University Hospital were reviewed, and the data of 55 stones were evaluated. Patient age, sex, mean stone density, the highest and lowest measured Hounsfield unit (HU), standard deviation and range of the measured HUs, volume of the most measured HU, and success of dusting were evaluated. Histograms of the measured HUs were created and cutoff values for successful dusting were analyzed. Results: Thirty-two stones were successfully dusted during surgery. Dusted stones had a wider range of HU and higher standard deviation. The volume of the most measured HU was smaller in the dusted stones. Successful dusting could be predicted when the volume of the most measured HU was < 8.9 mm, with range ≥ 853, or when the volume of the most measured HU was < 8.9 mm, with range < 853, and the mean stone density was < 355. The histograms of HUs of the dusted stones were wide and rugged, while those of dusting failed stones were narrow and peaked. Conclusion: Evaluation of stone HU histograms showed differences in distribution and proportion. This will help predict surgical outcomes and prepare for intraoperative complications.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102943473&origin=inward; http://dx.doi.org/10.1007/s00345-021-03659-9; http://www.ncbi.nlm.nih.gov/pubmed/33733297; https://link.springer.com/10.1007/s00345-021-03659-9; https://dx.doi.org/10.1007/s00345-021-03659-9; https://link.springer.com/article/10.1007/s00345-021-03659-9
Springer Science and Business Media LLC
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