Your browser doesn't support javascript.
loading
Preoperative estimate of natural ureteral length based on computed tomography and/or plain radiography.
Hsu, Jen-Ting; Tseng, Jen-Shu; Chen, Marcelo; Sun, Fang-Ju; Chen, Chien-Wen; Lin, Wun-Rong; Chiang, Pai-Kai; Chiu, Allen W.
Afiliação
  • Hsu JT; Department of Urology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei City, 10449, Taiwan, ROC.
  • Tseng JS; Department of Urology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei City, 10449, Taiwan, ROC. urojst@gmail.com.
  • Chen M; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong Street, Taipei, 112, Taiwan, ROC. urojst@gmail.com.
  • Sun FJ; Department of Urology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei City, 10449, Taiwan, ROC.
  • Chen CW; Mackay Medical College, No.46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City, 252, Taiwan, ROC.
  • Lin WR; Mackay Junior College of Medicine, Beitou District, Nursing, and Management, No.92, Shengjing Road, Taipei City, 11272, Taiwan, ROC.
  • Chiang PK; Department of Urology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist., Taipei City, 10449, Taiwan, ROC.
  • Chiu AW; Mackay Junior College of Medicine, Beitou District, Nursing, and Management, No.92, Shengjing Road, Taipei City, 11272, Taiwan, ROC.
Sci Rep ; 11(1): 12202, 2021 06 09.
Article em En | MEDLINE | ID: mdl-34108557
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 [Formula see text] ULCTL [Formula see text] 0.626 [Formula see text] C-PL - 0.508 cm ULCTUR = 0.558 [Formula see text] ULCTR [Formula see text] 0.218 [Formula see text] C-PR + 6.533 cm ULCT ULCTUL = 0.876 [Formula see text] ULCTL [Formula see text] 6.337 cm ULCTUR = 0.710 [Formula see text] ULCTR [Formula see text] 9.625 cm C-P ULCTUL = 0.678 [Formula see text] C-PL [Formula see text] 4.836 cm ULCTUR = 0.495 [Formula see text] C-PR [Formula see text] 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ureter / Cuidados Pré-Operatórios / Radiografia / Tomografia Computadorizada por Raios X Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ureter / Cuidados Pré-Operatórios / Radiografia / Tomografia Computadorizada por Raios X Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article