Literature DB >> 31619030

Which patients with clinical localized renal mass would achieve the trifecta after partial nephrectomy? The impact of surgical technique.

Lorenzo Bianchi1,2, Riccardo Schiavina3,4, Marco Borghesi3,4, Francesco Chessa3,4, Carlo Casablanca3, Andrea Angiolini3, Amelio Ercolino3, Cristian V Pultrone3,4, Federico Mineo Bianchi3, Umberto Barbaresi3, Pietro Piazza3, Fabio Manferrari3,4, Alessandro Bertaccini3,4, Michelangelo Fiorentino5, Matteo Ferro6, Angelo Porreca7, Emanuela Marcelli4,5,6,7,8, Eugenio Brunocilla3,4.   

Abstract

BACKGROUND: To develop a clinical nomogram aimed to predict the achievement of trifecta in patients treated with open, laparoscopic and robotic partial nephrectomy (PN) for localized renal masses (<cT2).
METHODS: We retrospectively evaluated 482 consecutive patients who underwent PN with open (OPN: 243), laparoscopic (LPN: 156) and robotic (RAPN: 83) approach for T1 renal mass at single tertiary center. Trifecta was defined as follows: warm ischemia time (WIT) <20 min and no positive surgical margins (PSM) and no postoperative complications. First, we compared clinical, pathologic and perioperative outcomes within the three surgical approaches. Second, multivariable logistic regression was performed to identify the independent predictors of the trifecta's achievement. Finally, regression-based coefficients were used to develop a nomogram predicting the likelihood to achieve the trifecta and 200 bootstrap resamples were used for internal validation.
RESULTS: The three cohorts were comparable in terms of demographics and clinical characteristics. Trifecta has been achieved in 49%, 50.6% and 69.9% of patients undergoing OPN, LPN and RAPN, respectively (P=0.003). At multivariable analyses, American Anesthesiologists Score (ASA) score 3-4 (Odd Ratio [OR]: 0.63; P=0.02), urinary collecting system (UCS) involvement (OR 0.56; P=0.02) and surgical approach (LPN and OPN vs. RAPN: OR: 0.39 and 0.38, respectively; P=0.001) were independent predictors of trifecta's achievement. A nomogram based on covariates included in the multivariable model demonstrated bootstrap-corrected predictive accuracy of 63%.
CONCLUSIONS: ASA Score, UCS involvement and the surgical technique were independent predictors of trifecta outcome. Our nomogram could facilitate the preoperative counselling and to choose the best surgical approach for PN.

Entities:  

Year:  2019        PMID: 31619030     DOI: 10.23736/S0393-2249.19.03485-4

Source DB:  PubMed          Journal:  Minerva Urol Nefrol        ISSN: 0393-2249            Impact factor:   3.720


  9 in total

1.  Local ablation vs partial nephrectomy in T1N0M0 renal cell carcinoma: An inverse probability of treatment weighting analysis.

Authors:  Lei Shi; Yan He; Chang Liu; Xiaoyuan Qian; Zhixian Wang
Journal:  Cancer Med       Date:  2020-09-05       Impact factor: 4.452

2.  Application and clinical efficacy of modified early unclamping technique in robot-assisted laparoscopic partial nephrectomy.

Authors:  Chen Song; Luyao Chen; Junhua Li; Yanbin Wang; Bin Fu
Journal:  BMC Urol       Date:  2022-06-06       Impact factor: 2.090

3.  Utilization of a three-dimensional printed kidney model for favorable TRIFECTA achievement in early experience of robot-assisted partial nephrectomy.

Authors:  Akira Fujisaki; Tatsuya Takayama; Masahiro Yamazaki; Tomoki Kamimura; Saki Katano; Maiko Komatsubara; Jun Kamei; Toru Sugihara; Satoshi Ando; Tetsuya Fujimura
Journal:  Transl Androl Urol       Date:  2020-12

4.  Comparison of prognosis between patients undergoing radical nephrectomy versus partial nephrectomy for renal cell carcinoma ≤7 cm T3aN0/xM0: Survival benefit is biased toward partial nephrectomy.

Authors:  Shiliang Liu; Chunxiang Feng; Chang Liu; Zhixian Wang
Journal:  Cancer Med       Date:  2021-11-14       Impact factor: 4.452

Review 5.  New imaging technologies for robotic kidney cancer surgery.

Authors:  Stefano Puliatti; Ahmed Eissa; Enrico Checcucci; Pietro Piazza; Marco Amato; Stefania Ferretti; Simone Scarcella; Juan Gomez Rivas; Mark Taratkin; Josè Marenco; Ines Belenchon Rivero; Karl-Friedrich Kowalewski; Giovanni Cacciamani; Ahmed El-Sherbiny; Ahmed Zoeir; Abdelhamid M El-Bahnasy; Ruben De Groote; Alexandre Mottrie; Salvatore Micali
Journal:  Asian J Urol       Date:  2022-06-01

Review 6.  Small renal masses in kidney transplantation: Overview of clinical impact and management in donors and recipients.

Authors:  Alberto Piana; Iulia Andras; Pietro Diana; Paolo Verri; Andrea Gallioli; Riccardo Campi; Thomas Prudhomme; Vital Hevia; Romain Boissier; Alberto Breda; Angelo Territo
Journal:  Asian J Urol       Date:  2022-06-10

Review 7.  Potential benefit of lymph node dissection during radical nephrectomy for kidney cancer: A review and critical analysis of current literature.

Authors:  Michele Marchioni; Daniele Amparore; Igino Andrea Magli; Riccardo Bertolo; Umberto Carbonara; Selcuk Erdem; Alexandre Ingels; Constantijn H J Muselaers; Onder Kara; Marco Mascitti; Tobias Klatte; Maximilian Kriegmair; Nicola Pavan; Eduard Roussel; Angela Pecoraro; Laura Marandino; Riccardo Campi; Luigi Schips
Journal:  Asian J Urol       Date:  2022-05-27

8.  Identification of an m6A-Related lncRNA Signature for Predicting the Prognosis in Patients With Kidney Renal Clear Cell Carcinoma.

Authors:  JunJie Yu; WeiPu Mao; Si Sun; Qiang Hu; Can Wang; ZhiPeng Xu; RuiJi Liu; SaiSai Chen; Bin Xu; Ming Chen
Journal:  Front Oncol       Date:  2021-05-26       Impact factor: 6.244

Review 9.  Trifecta achievement in patients undergoing partial nephrectomy: a systematic review and meta-analysis of predictive factors.

Authors:  Nigemutu Bai; Muge Qi; Dan Shan; Suo Liu; Ta Na; Liang Chen
Journal:  Int Braz J Urol       Date:  2022 Jul-Aug       Impact factor: 3.050

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.