| [[1] |
那彦群, 孙光, 叶章群,等. 中国泌尿外科疾病诊断治疗指南: 2009版[M]. 人民卫生出版社, 2009.
|
| [2] |
Kheterpal E, Taneja SS. Partial nephrectomy: contemporary outcomes, candidate selection, and surgical approach[J]. Urol Clin North Am, 2012, 39(2): 199-210.
|
| [3] |
Kutikov A, Uzzo RG. The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth[J]. J Urol, 2009, 182(3): 844-853.
|
| [4] |
Ficarra V, Novara G, Secco S, et al. Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery[J]. Eur Urol, 2009, 56(5): 786-793.
|
| [5] |
Simmons MN, Ching CB, Samplaski MK, et al. Kidney tumor location measurement using the C index method[J]. J Urol, 2010, 183(5): 1708-1713.
|
| [6] |
Canter D, Kutikov A, Manley B, et al. Utility of the R.E.N.A.L. nephrometry scoring system in objectifying treatment decision-making of the enhancing renal mass[J]. Urology, 2011, 78(5): 1089-1094.
|
| [7] |
Bruner B, Breau RH, Lohse CM, et al. Renal nephrometry score is associated with urine leak after partial nephrectomy[J]. BJU Int, 2011, 108(1): 67-72.
|
| [8] |
Mathieu R, Verhoest G, Droupy S, et al. Predictive factors of complications after robot-assisted laparoscopic partial nephrectomy: a retrospective multicentre study[J]. BJU Int, 2013, 112(4): E283-289.
|
| [9] |
姜德田, 刘勇, 钟修龙,等. PADUA评分系统与保留肾单位手术中相关问题的研究[J]. 临床泌尿外科杂志, 2014, 29(6): 518-522.
|
| [10] |
Karamık K, İslamoğlu E, Erdemir AG, et al. The associations of RENAL, PADUA and C-index nephrometry scores with perioperative outcomes and postoperative renal function in minimally invasive partial nephrectomy[J]. Turk J Urol, 2021, 47(1): 14-21.
|
| [11] |
Veccia A, Antonelli A, Uzzo RG, et al. Predictive value of nephrometry scores in nephron-sparing surgery: a systematic review and meta-analysis[J]. Eur Urol Focus, 2020, 6(3): 490-504.
|
| [12] |
Sharma AP, Mavuduru RS, Bora GS, et al. Predicting trifecta outcomes after robot-assisted nephron-sparing surgery: Beyond the nephrometry score[J]. Investig Clin Urol, 2018, 59(5): 305-312.
|
| [13] |
Nisen H, Ruutu M, Glücker E, et al. Renal tumour invasion index as a novel anatomical classification predicting urological complications after partial nephrectomy[J]. Scand J Urol, 2014, 48(1): 41-51.
|
| [14] |
陈帅, 胡卫列. 肾部分切除术术前评分系统的临床应用和研究进展[J]. 中华泌尿外科杂志, 2015, 36(5): 390-393.
|
| [15] |
Spaliviero M, Poon BY, Aras O, et al. Interobserver variability of R.E.N.A.L., PADUA, and centrality index nephrometry score systems[J]. World J Urol, 2015, 33(6): 853-858.
|
| [16] |
Papalia R, De Castro Abreu AL, Panebianco V, et al. Novel kidney segmentation system to describe tumour location for nephron-sparing surgery[J]. World J Urol, 2015, 33(6): 865-871.
|
| [17] |
Gury-Coupier L, Audenet F, Delavaud C, et al. Retrospective comparison of the reproducibility and the performances of R.E.N.A.L. score, 12 segments score and UPRCC score for the partial nephrectomy[J]. Prog Urol, 2017, 27(16): 1050-1057.
|
| [18] |
Naya Y, Kawauchi A, Oishi M, et al. Comparison of diameter-axial-polar nephrometry and RENAL nephrometry score for treatment decision-making in patients with small renal mass[J]. Int J Clin Oncol, 2015, 20(2): 358-361.
|
| [19] |
Leslie S, Gill IS, de Castro Abreu AL, et al. Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy[J]. Eur Urol, 2014, 66(5): 884-893.
|
| [20] |
尹水平, 周骏, 杨诚,等. 肿瘤接触表面积在保留肾单位手术中的应用[J]. 临床泌尿外科杂志, 2019, 34(9): 695-698.
|
| [21] |
李鹏, 杨庆, 陈俊明,等. 近似肿瘤实质接触面积与肾部分切除术围手术期参数的相关性分析[J]. 临床泌尿外科杂志, 2015, 30(3): 213-217.
|
| [22] |
Haifler M, Lask A, Gal J, et al. Interobserver agreement of the estimated contact surface area system for renal masses[J]. Clin Genitourin Cancer, 2019, 17(4): e802-e805.
|
| [23] |
Tornberg SV, Kilpeläinen TP, Järvinen P, et al. Renal tumor invasion depth and diameter are the two most accurate anatomical features regarding the choice of radical versus partial nephrectomy[J]. Scand J Surg, 2018, 107(1): 54-61.
|
| [24] |
Spaliviero M, Poon BY, Karlo CA, et al. An Arterial Based Complexity (ABC) Scoring System to Assess the Morbidity Profile of Partial Nephrectomy[J]. Eur Urol, 2016, 69(1): 72-79.
|
| [25] |
朱梁松, 陈勇辉, 王建丰,等. ABC评分系统在肾部分切除术中的临床应用研究[J]. 临床泌尿外科杂志, 2016, 31(9): 806-809.
|
| [26] |
贺兴军, 祁乐中, 景遐勇,等. 基于动脉复杂性肾肿瘤评分系统对LPN复杂程度的预测价值[J]. 现代肿瘤医学, 2020, 28(2): 252-255.
|
| [27] |
彭琪, 王雪荣, 袁璐璐,等. ABC评分系统在微创肾部分切除术中的外部验证[J]. 中国肿瘤临床, 2019, 46(08): 394-398.
|
| [28] |
Antonelli A, Veccia A, Sandri M, et al. External validation of the arterial-based complexity score and first head-to-head comparison with the r.e.n.a.l. and padua scores and c-index[J]. Clin Genitourin Cancer, 2018, 16(3): e595-e604.
|
| [29] |
Kocher NJ, Kunchala S, Reynolds C, et al. Adherent perinephric fat at minimally invasive partial nephrectomy is associated with adverse peri-operative outcomes and malignant renal histology[J]. BJU Int, 2016, 117(4): 636-641.
|
| [30] |
Davidiuk AJ, Parker AS, Thomas CS, et al. Mayo adhesive probability score: an accurate image-based scoring system to predict adherent perinephric fat in partial nephrectomy[J]. Eur Urol, 2014, 66(6): 1165-1171.
|
| [31] |
Egen L, Kowalewski KF, Riffel P, et al. Nephrometry Scores: Can Preoperative Assessment of Sectional Imaging Really Mirror Intraoperative Renal Tumor Anatomy?[J]. Urol Int, 2021, 105(1-2): 108-117.
|
| [32] |
Yanishi M, Kinoshita H, Koito Y, et al. Adherent perinephric fat is a surgical risk factor in laparoscopic single-site donor nephrectomy: analysis using mayo adhesive probability score[J]. Transplant Proc, 2020, 52(1): 84-88.
|
| [33] |
Khene ZE, Peyronnet B, Mathieu R, et al. Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy[J]. World J Urol, 2015, 33(11): 1801-1806.
|
| [34] |
DI Maida F, Vittori G, Campi R, et al. Clinical predictors and significance of adherent perinephric fat assessed with Mayo Adhesive Probability (MAP) score and perinephric fat surface density (PnFSD) at the time of partial nephrectomy for localized renal mass. A single high-volume referral center experience[J]. Minerva Urol Nephrol, 2021, 73(2): 225-232.
|
| [35] |
王坚超, 李明敏, 吴震杰,等. 肾周脂肪梅奥粘连概率评分在机器人辅助腹腔镜肾部分切除术中的初步应用[J]. 第二军医大学学报, 2020, 41(7): 709-713.
|
| [36] |
Thiel DD, Davidiuk AJ, Meschia C, et al. Mayo adhesive probability score is associated with localized renal cell carcinoma progression-free survival[J]. Urology, 2016, 89: 54-60.
|
| [37] |
Tomaszewski JJ, Smaldone MC, Cung B, et al. Internal validation of the renal pelvic score: a novel marker of renal pelvic anatomy that predicts urine leak after partial nephrectomy[J]. Urology, 2014, 84(2): 351-357.
|
| [38] |
Bier S, Aufderklamm S, Todenhöfer T, et al. Prediction of postoperative risks in laparoscopic partial nephrectomy using renal, mayo adhesive probability and renal pelvic score[J]. Anticancer Res, 2017, 37(3): 1369-1373.
|
| [39] |
Shin TY, Komninos C, Kim DW, et al. A novel mathematical model to predict the severity of postoperative functional reduction before partial nephrectomy: the importance of calculating resected and ischemic volume[J]. J Urol, 2015, 193(2): 423-429.
|
| [40] |
Huang WH, Chang CH, Huang CP, et al. The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy[J]. Int Braz J Urol, 2017, 43(1): 80-86.
|
| [41] |
Simmons MN, Hillyer SP, Lee BH, et al. Functional recovery after partial nephrectomy: effects of volume loss and ischemic injury[J]. J Urol, 2012, 187(5): 1667-1673.
|
| [42] |
谢福晨, 张会江, 张伟丽,等. 新一代肾肿瘤评分系统的研究进展[J/CD]. 中华腔镜泌尿外科杂志(电子版), 2019, 13(2): 140-144.
|