Literature DB >> 26332540

Two-year analysis for predicting renal function and contralateral hypertrophy after robot-assisted partial nephrectomy: A three-dimensional segmentation technology study.

Dae Keun Kim1, Yujin Jang2, Jaeseon Lee2, Helen Hong2, Ki Hong Kim1, Tae Young Shin3, Dae Chul Jung4, Young Deuk Choi1, Koon Ho Rha1.   

Abstract

OBJECTIVES: To analyze long-term changes in both kidneys, and to predict renal function and contralateral hypertrophy after robot-assisted partial nephrectomy.
METHODS: A total of 62 patients underwent robot-assisted partial nephrectomy, and renal parenchymal volume was calculated using three-dimensional semi-automatic segmentation technology. Patients were evaluated within 1 month preoperatively, and postoperatively at 6 months, 1 year and continued up to 2-year follow up. Linear regression models were used to identify the factors predicting variables that correlated with estimated glomerular filtration rate changes and contralateral hypertrophy 2 years after robot-assisted partial nephrectomy.
RESULTS: The median global estimated glomerular filtration rate changes were -10.4%, -11.9%, and -2.4% at 6 months, 1 and 2 years post-robot-assisted partial nephrectomy, respectively. The ipsilateral kidney median parenchymal volume changes were -24%, -24.4%, and -21% at 6 months, 1 and 2 years post-robot-assisted partial nephrectomy, respectively. The contralateral renal volume changes were 2.3%, 9.6% and 12.9%, respectively. On multivariable linear analysis, preoperative estimated glomerular filtration rate was the best predictive factor for global estimated glomerular filtration rate change on 2 years post-robot-assisted partial nephrectomy (B -0.452; 95% confidence interval -0.84 to -0.14; P = 0.021), whereas the parenchymal volume loss rate (B -0.43; 95% confidence interval -0.89 to -0.15; P = 0.017) and tumor size (B 5.154; 95% confidence interval -0.11 to 9.98; P = 0.041) were the significant predictive factors for the degree of contralateral renal hypertrophy on 2 years post-robot-assisted partial nephrectomy.
CONCLUSIONS: Preoperative estimated glomerular filtration rate significantly affects post-robot-assisted partial nephrectomy renal function. Renal mass size and renal parenchyma volume loss correlates with compensatory hypertrophy of the contralateral kidney. Contralateral hypertrophy of the renal parenchyma compensates for the functional loss of the ipsilateral kidney.
© 2015 The Japanese Urological Association.

Entities:  

Keywords:  hypertrophy; kidney; nephrectomy; robotics; segmentation

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Year:  2015        PMID: 26332540     DOI: 10.1111/iju.12913

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  5 in total

1.  Split renal function of both kidneys after robot-assisted partial nephrectomy for renal tumor larger than 4 cm.

Authors:  Sheng-Han Tsai; Yi-Chen Lai; Nai-Yuan Wu; Hsiao-Jen Chung
Journal:  Int Urol Nephrol       Date:  2016-11-22       Impact factor: 2.370

2.  Ipsilateral renal function preservation following minimally invasive partial nephrectomy: The effect of tumour characteristics and warm ischemic time.

Authors:  Ernest Chan; Shawna L Boyle; Jeffrey Campbell; Patrick P W Luke
Journal:  Can Urol Assoc J       Date:  2017-10       Impact factor: 1.862

3.  Cross-Sectional Investigations of Pre- and Post-Operative Renal Global Function and Renal Parenchymal Volumetry in Both Partial and Radical Nephrectomy Utilizing Film-Based Technology.

Authors:  Takehiro Sejima; Tetsuya Yumioka; Noriya Yamaguchi; Toshihiko Masago; Shuichi Morizane; Katsuya Hikita; Masashi Honda; Atsushi Takenaka
Journal:  Curr Urol       Date:  2019-05-10

4.  The significance of predictable traumatic area by renorrhaphy in the prediction of postoperative ipsilateral renal function.

Authors:  Toshihiko Masago; Noriya Yamaguchi; Hideto Iwamoto; Shuichi Morizane; Katsuya Hikita; Masashi Honda; Takehiro Sejima; Atsushi Takenaka
Journal:  Cent European J Urol       Date:  2017-01-22

5.  Development and validation of an integrated nomogram to predict personalized new baseline functional outcomes after partial nephrectomy.

Authors:  Dachun Jin; Yong Luo; Hailin Zhu; Yaoming Li; Zaoming Huang; Yao Zhang; Jun Zhang; Jun Jiang
Journal:  Transl Androl Urol       Date:  2022-01
  5 in total

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