Abstract

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 (ULCTU) 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 (ULCT) were collected. ULCTU correlated most strongly with ULCT. 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. ULCTU could be estimated by the regression model in three different scenarios as follows:

  • ULCT + C-P

    • ULCTUL = 0.405 × ULCTL+ 0.626 × C-PL – 0.508 cm

    • ULCTUR = 0.558 × ULCTR+ 0.218 × C-PR + 6.533 cm

  • ULCT

    • ULCTUL = 0.876 × ULCTL+ 6.337 cm

    • ULCTUR = 0.710 × ULCTR+ 9.625 cm

  • C-P

    • ULCTUL = 0.678 × C-PL+ 4.836 cm

    • ULCTUR = 0.495 × C-PR+ 10.353 cm

We provide equations to predict ULCTU based on CT, KUB or CT plus KUB for different clinical scenarios. The formula based on CT plus KUB provided the most accurate estimation, while the others had lower validation values but could still meet clinical needs.

Details

Title
Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
Author
Jen-Ting, Hsu 1 ; Jen-Shu, Tseng 2 ; Chen, Marcelo 3 ; Fang-Ju, Sun 4 ; Chien-Wen, Chen 5 ; Wun-Rong, Lin 6 ; Pai-Kai, Chiang 6 ; Chiu, Allen W 7 

 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X) 
 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X); National Yang Ming Chiao Tung University, Institute of Biomedical Informatics, Taipei, Taiwan, ROC (GRID:grid.413593.9) 
 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X); Mackay Medical College, New Taipei City, Taiwan, ROC (GRID:grid.452449.a) (ISNI:0000 0004 1762 5613); Mackay Junior College of Medicine, Beitou District, Taipei City, Taiwan, ROC (GRID:grid.452449.a) 
 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X); Mackay Junior College of Medicine, Beitou District, Taipei City, Taiwan, ROC (GRID:grid.413593.9); National Yang Ming Chiao Tung University, Institute of Biomedical Informatics, Taipei, Taiwan, ROC (GRID:grid.413593.9) 
 MacKay Memorial Hospital, Department of Radiology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X) 
 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X); Mackay Medical College, New Taipei City, Taiwan, ROC (GRID:grid.452449.a) (ISNI:0000 0004 1762 5613) 
 MacKay Memorial Hospital, Department of Urology, Taipei City, Taiwan, ROC (GRID:grid.413593.9) (ISNI:0000 0004 0573 007X); National Yang Ming Chiao Tung University, School of Medicine, Taipei City, Taiwan, ROC (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2539402333
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.