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  • 标题:Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
  • 本地全文:下载
  • 作者:Jen-Ting Hsu ; Jen-Shu Tseng ; Marcelo Chen
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • DOI:10.1038/s41598-021-91658-6
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:To predict natural ureter lengths based on clinical images. We reviewed our image database of patients who underwent multiphasic computed tomography urography from January 2019 to April 2020. Natural ureteral length (UL CTU) was measured using a three-dimensional curved multiplanar reformation technique. Patient parameters including age, height, and height of the lumbar spine, the index of ureteral length using kidney/ureter/bladder (KUB) radiographs (C-P and C-PS) and computed tomography (UL CT) were collected. UL CTU correlated most strongly with UL CT. R square and adjusted R square values from multivariate regression were 0.686 and 0.678 (left side) and 0.516 and 0.503 (right side), respectively. UL CTU could be estimated by the regression model in three different scenarios as follows: UL CT  + C-P UL CTUL  = 0.405 \documentclass[12pt
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