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

Autor: Tetsuya Yumioka, Noriya Yamaguchi, Takehiro Sejima, Atsushi Takenaka, Katsuya Hikita, Masashi Honda, Shuichi Morizane, Toshihiko Masago
Rok vydání: 2019
Předmět:
Zdroj: Current Urology. 12:127-133
ISSN: 1661-7649
DOI: 10.1159/000489430
Popis: OBJECTIVES: To investigate pre- and post-operative renal global function and renal parenchymal volume (RPV) in both partial nephrectomy (PN) and radical nephrectomy (RN) utilizing film-based technology. PATIENTS AND METHODS: The patient cohort consisted of 81 and 82 cases with T1 tumors (≤ 7 cm) treated by PN and RN, respectively. Renal global function was assessed using the estimated glomerular filtration rate (eGFR), and RPV was measured using a Synapse Vincent volumetric analyzer which creates a reconstructed image from a computed tomography scan. Renal global function and RPV were evaluated pre-operatively and 6 months post-operatively. RESULTS: The percent eGFR decline of PN cases was significantly reduced compared with RN cases (p < 0.0001). Post-operative RPV of the contralateral side was significantly increased compared with pre-operative RPV (p < 0.0001) in RN cases. The percent change of the contralat-eral side RPV was slightly increased in RN compared with PN cases (p = 0.1881). A strong positive correlation was noted between post-operative eGFR and post-operative total RPV (r = 0.69, p < 0.0001), and a strong negative correlation was noted between percent eGFR decline and post-operative total RPV (r = −0.63, p < 0.0001). CONCLUSIONS: Prominent compensatory renal hypertrophy occurred within 6 months after RN. Post-operative renal functional outcome was closely correlated with the post-operative total RPV. In addition to RPV, further studies to unravel post-operative renal function from multifactorial aspects including surgical factors and intrinsic medical disease should be performed in the future.
Databáze: OpenAIRE