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 reformati...

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Autores principales:	Jen-Ting Hsu, Jen-Shu Tseng, Marcelo Chen, Fang-Ju Sun, Chien-Wen Chen, Wun-Rong Lin, Pai-Kai Chiang, Allen W. Chiu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/669f013b44e74e0c9752610ddc1a5539
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spelling	oai:doaj.org-article:669f013b44e74e0c9752610ddc1a55392021-12-02T14:58:25ZPreoperative estimate of natural ureteral length based on computed tomography and/or plain radiography10.1038/s41598-021-91658-62045-2322https://doaj.org/article/669f013b44e74e0c9752610ddc1a55392021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91658-6https://doaj.org/toc/2045-2322Abstract 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 $$\times$$ × ULCTL $$+$$ + 0.626 $$\times$$ × C-PL – 0.508 cm ULCTUR = 0.558 $$\times$$ × ULCTR $$+$$ + 0.218 $$\times$$ × C-PR + 6.533 cm ULCT ULCTUL = 0.876 $$\times$$ × ULCTL $$+$$ + 6.337 cm ULCTUR = 0.710 $$\times$$ × ULCTR $$+$$ + 9.625 cm C-P ULCTUL = 0.678 $$\times$$ × C-PL $$+$$ + 4.836 cm ULCTUR = 0.495 $$\times$$ × 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.Jen-Ting HsuJen-Shu TsengMarcelo ChenFang-Ju SunChien-Wen ChenWun-Rong LinPai-Kai ChiangAllen W. ChiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jen-Ting Hsu Jen-Shu Tseng Marcelo Chen Fang-Ju Sun Chien-Wen Chen Wun-Rong Lin Pai-Kai Chiang Allen W. Chiu Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
description	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 $$\times$$ × ULCTL $$+$$ + 0.626 $$\times$$ × C-PL – 0.508 cm ULCTUR = 0.558 $$\times$$ × ULCTR $$+$$ + 0.218 $$\times$$ × C-PR + 6.533 cm ULCT ULCTUL = 0.876 $$\times$$ × ULCTL $$+$$ + 6.337 cm ULCTUR = 0.710 $$\times$$ × ULCTR $$+$$ + 9.625 cm C-P ULCTUL = 0.678 $$\times$$ × C-PL $$+$$ + 4.836 cm ULCTUR = 0.495 $$\times$$ × 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.
format	article
author	Jen-Ting Hsu Jen-Shu Tseng Marcelo Chen Fang-Ju Sun Chien-Wen Chen Wun-Rong Lin Pai-Kai Chiang Allen W. Chiu
author_facet	Jen-Ting Hsu Jen-Shu Tseng Marcelo Chen Fang-Ju Sun Chien-Wen Chen Wun-Rong Lin Pai-Kai Chiang Allen W. Chiu
author_sort	Jen-Ting Hsu
title	Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
title_short	Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
title_full	Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
title_fullStr	Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
title_full_unstemmed	Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
title_sort	preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/669f013b44e74e0c9752610ddc1a5539
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Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography

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