Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography

Jen Ting Hsu; Jen Shu Tseng; Marcelo Chen; Fang Ju Sun; Chien Wen Chen; Wun Rong Lin; Pai Kai Chiang; Allen W. Chiu

doi:10.1038/s41598-021-91658-6

Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography

Jen Ting Hsu, Jen Shu Tseng^*, Marcelo Chen, Fang Ju Sun, Chien Wen Chen, Wun Rong Lin, Pai Kai Chiang, Allen W. Chiu

^*Corresponding author for this work

Department of Urology

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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 (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-PUL_CTUL = 0.405 × UL_CTL+ 0.626 × C-P_L – 0.508 cmUL_CTUR = 0.558 × UL_CTR+ 0.218 × C-P_R + 6.533 cmUL_CTUL_CTUL = 0.876 × UL_CTL+ 6.337 cmUL_CTUR = 0.710 × UL_CTR+ 9.625 cmC-PUL_CTUL = 0.678 × C-P_L+ 4.836 cmUL_CTUR = 0.495 × C-P_R+ 10.353 cmWe provide equations to predict UL_CTU 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.

Original language	English
Article number	12202
Journal	Scientific reports
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41598-021-91658-6
State	Published - Dec 2021

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@article{89d1df2feb9346a281cf6093d66bce22,

title = "Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography",

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-PULCTUL = 0.405 × ULCTL+ 0.626 × C-PL – 0.508 cmULCTUR = 0.558 × ULCTR+ 0.218 × C-PR + 6.533 cmULCTULCTUL = 0.876 × ULCTL+ 6.337 cmULCTUR = 0.710 × ULCTR+ 9.625 cmC-PULCTUL = 0.678 × C-PL+ 4.836 cmULCTUR = 0.495 × C-PR+ 10.353 cmWe 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.",

author = "Hsu, {Jen Ting} and Tseng, {Jen Shu} and Marcelo Chen and Sun, {Fang Ju} and Chen, {Chien Wen} and Lin, {Wun Rong} and Chiang, {Pai Kai} and Chiu, {Allen W.}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

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doi = "10.1038/s41598-021-91658-6",

language = "English",

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AU - Hsu, Jen Ting

AU - Tseng, Jen Shu

AU - Chen, Marcelo

AU - Sun, Fang Ju

AU - Chen, Chien Wen

AU - Lin, Wun Rong

AU - Chiang, Pai Kai

AU - Chiu, Allen W.

PY - 2021/12

Y1 - 2021/12

N2 - 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-PULCTUL = 0.405 × ULCTL+ 0.626 × C-PL – 0.508 cmULCTUR = 0.558 × ULCTR+ 0.218 × C-PR + 6.533 cmULCTULCTUL = 0.876 × ULCTL+ 6.337 cmULCTUR = 0.710 × ULCTR+ 9.625 cmC-PULCTUL = 0.678 × C-PL+ 4.836 cmULCTUR = 0.495 × C-PR+ 10.353 cmWe 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.

AB - 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-PULCTUL = 0.405 × ULCTL+ 0.626 × C-PL – 0.508 cmULCTUR = 0.558 × ULCTR+ 0.218 × C-PR + 6.533 cmULCTULCTUL = 0.876 × ULCTL+ 6.337 cmULCTUR = 0.710 × ULCTR+ 9.625 cmC-PULCTUL = 0.678 × C-PL+ 4.836 cmULCTUR = 0.495 × C-PR+ 10.353 cmWe 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.

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DO - 10.1038/s41598-021-91658-6

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SN - 2045-2322

VL - 11

JO - Scientific reports

JF - Scientific reports

IS - 1

M1 - 12202

ER -

Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography

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