肾肿瘤评分系统的临床应用及进展
Clinical Application and Progress of Renal Tumor Scoring System
DOI: 10.12677/ACM.2023.1361461, PDF,   
作者: 董华朝:青海大学研究生院,青海 西宁;任海林:青海大学附属医院泌尿外科,青海 西宁
关键词: 肾肿瘤评分系统RENAL评分系统RoSCo评分系统Renal Tumor Scoring System RENAL Scoring System RoSCo Scoring System
摘要: 根据国内外的报道,肾肿瘤评分系统大体可以分为第一代评分系统和第二代评分系统。第一代评分系统包括RENAL、PADUA、C-index。第二代评分系统包括DAP、RTII、MAP、ABC、3S + f、CSA、NRC、KS、RPS、RAIV、SARR、ZS、ZonalNePhRO、SIREN、DDD、RoSCo。本综述对以上评分系统进行详细介绍,以供泌尿外科医师依据自身临床经验对上述评分系统联合应用或进行改良,便于选择合适的手术方式、评估围手术期相关并发症及患者的预后等。
Abstract: According to domestic and foreign reports, the renal tumor scoring system can be divided into the first generation scoring system and the second generation scoring system. The first generation scoring system includes RENAL, PADUA and C-index. The second generation scoring system includes DAP, RTII, MAP, ABC, 3S + f, CSA, NRC, KS, RPS, RAIV, SARR, ZS, Zonal NePhRO, SIREN, DDD, RoSCo. This review introduces the above scoring system in detail for urologists to combine or improve the above scoring system based on their own clinical experience, so as to facilitate the selection of ap-propriate surgical methods, evaluation of perioperative complications and prognosis of patients.
文章引用:董华朝, 任海林. 肾肿瘤评分系统的临床应用及进展[J]. 临床医学进展, 2023, 13(6): 10439-10446. https://doi.org/10.12677/ACM.2023.1361461

参考文献

[1] Ljungberg, B., Albiges, L., Abu-Ghanem, Y., et al. (2022) European Association of Urology Guidelines on Renal Cell Carcinoma: The 2022 Update. European Urology, 82, 399-410. [Google Scholar] [CrossRef] [PubMed]
[2] Sun, M., Bianchi, M., Hansen, J., et al. (2012) Chronic Kidney Disease after Nephrectomy in Patients with Small Renal Masses: A Retrospective Observational Analysis. European Urology, 62, 696-703. [Google Scholar] [CrossRef] [PubMed]
[3] Roos, F.C., Steffens, S., Junker, K., et al. (2014) Survival Ad-vantage of Partial over Radical Nephrectomy in Patients Presenting with Localized Renal Cell Carcinoma. BMC Cancer, 14, Article No. 372. [Google Scholar] [CrossRef] [PubMed]
[4] Kutikov, A. and Uzzo, R.G. (2009) The R.E.N.A.L. Nephrometry Score: A Comprehensive Standardized System for Quantitating Renal Tumor Size, Location and Depth. Journal of Urology, 182, 844-853. [Google Scholar] [CrossRef] [PubMed]
[5] Ficarra, V., Novara, G., Secco, S., et al. (2009) Preoperative As-pects and Dimensions Used for an Anatomical (PADUA) Classification of Renal Tumours in Patients Who Are Candi-dates for Nephron-Sparing Surgery. European Urology, 56, 786-793. [Google Scholar] [CrossRef] [PubMed]
[6] 王苏贵, 马松, 阳东荣, 等. 术前解剖特征分类评分系统在后腹腔镜肾部分切除术中的应用[J]. 中华临床医师杂志(电子版), 2016, 10(12): 1691-1694.
[7] Simmons, M.N., Ching, C.B., Samplaski, M.K., et al. (2010) Kidney Tumor Location Measurement Using the C Index Method. Urology, 183, 1708-1713. [Google Scholar] [CrossRef] [PubMed]
[8] Waldert, M., Waalkes, S., Klatte, T., et al. (2010) External Validation of the Preoperative Anatomical Classification for Prediction of Complications Related to Neph-ron-Sparing Surgery. World Journal of Urology, 28, 531-535. [Google Scholar] [CrossRef] [PubMed]
[9] Alma, E., Ercil, H., Eken, A., et al. (2019) The Role of RENAL, PADUA and C-Index Scoring Systems in Predicting the Results of Partial Nephrectomy without Ischemia. Asian Jour-nal of Surgery, 42, 326-331. [Google Scholar] [CrossRef] [PubMed]
[10] Borgmann, H., Reiss, A.K., Kurosch, M., et al. (2016) R.E.N.A.L. Score Outperforms PADUA Score, C-Index and DAP Score for Outcome Prediction of Nephron Sparing Surgery in a Selected Cohort. Journal of Urology, 196, 664-671. [Google Scholar] [CrossRef] [PubMed]
[11] Schiavina, R., Novara, G., Borghesi, M., et al. (2017) PADUA and R.E.N.A.L. Nephrometry Scores Correlate with Perioperative Outcomes of Robot-Assisted Partial Nephrectomy: Analy-sis of the Vattikuti Global Quality Initiative in Robotic Urologic Surgery (GQI-RUS) Database. BJU International, 119, 456-463. [Google Scholar] [CrossRef] [PubMed]
[12] Chen, S.H., Wu, Y.P., Li, X.D., et al. (2017) R.E.N.A.L. Nephrometry Score: A Preoperative Risk Factor Predicting the Fuhrman Grade of Clear-Cell Renal Carcinoma. Journal of Cancer, 8, 3725-3732. [Google Scholar] [CrossRef] [PubMed]
[13] Gupta, R., Tori, M., Babitz, S.K., et al. (2019) Comparison of RENAL, PADUA, CSA, and PAVP Nephrometry Scores in Predicting Functional Outcomes after Partial Nephrectomy. Urology, 124, 160-167. [Google Scholar] [CrossRef] [PubMed]
[14] 刘勇, 纪建磊, 毛昕, 等. C-index评分对T_1期肾肿瘤手术方式选择的临床价值[J]. 临床泌尿外科杂志, 2014, 29(5): 389-392.
[15] Spaliviero, M., Poon, B.Y., Aras, O., et al. (2015) Interobserver Variability of R.E.N.A.L., PADUA, and Centrality Index Nephrometry Score Systems. World Journal of Urology, 33, 853-858. [Google Scholar] [CrossRef] [PubMed]
[16] Bylund, J.R., Gayheart, D., Fleming, T., et al. (2012) Association of Tumor Size, Location, R.E.N.A.L., PADUA and Centrality Index Score with Perioperative Outcomes and Postopera-tive Renal Function. Journal of Urology, 188, 1684-1689. [Google Scholar] [CrossRef] [PubMed]
[17] Tobert, C.M., Shoemaker, A., Kahnoski, R.J., et al. (2015) Critical Appraisal of First-Generation Renal Tumor Complexity Scoring Systems: Creation of a Second-Generation Model of Tumor Complexity. Urologic Oncology: Seminars and Original Investigations, 33, 167.e1-167.e6. [Google Scholar] [CrossRef] [PubMed]
[18] Okhunov, Z., Rais-Bahrami, S., George, A.K., et al. (2011) The Comparison of Three Renal Tumor Scoring Systems: C-Index, P.A.D.U.A. and R.E.N.A.L. Nephrometry Scores. Jour-nal of Endourology, 25, 1921-1924. [Google Scholar] [CrossRef] [PubMed]
[19] Karamık, K., İslamoğlu, E., Erdemir, A.G., et al. (2021) The Associa-tions of RENAL, PADUA and C-Index Nephrometry Scores with Perioperative Outcomes and Postoperative Renal Function in Minimally Invasive Partial Nephrectomy. Turkish Journal of Urology, 47, 14-21. [Google Scholar] [CrossRef] [PubMed]
[20] Hou, W., Yan, W. and Ji, Z. (2015) Anatomic Features Involved in Technical Complexity of Partial Nephrectomy. Urology, 85, 1-7. [Google Scholar] [CrossRef] [PubMed]
[21] Simmons, M.N., Hillyer, S.P., Lee, B.H., et al. (2012) Diame-ter-Axial-Polar Nephrometry: Integration and Optimization of R.E.N.A.L. and Centrality Index Scoring Systems. Journal of Urology, 188, 384-390. [Google Scholar] [CrossRef] [PubMed]
[22] Li, M., Gao, Y., Cheng, J., et al. (2015) Diameter-Axial-Polar Nephrometry Is Predictive of Surgical Outcomes Following Partial Nephrectomy. Medicine, 94, e1228. [Google Scholar] [CrossRef
[23] Maeda, M., Funahashi, Y., Sassa, N., et al. (2014) Prediction of Partial Nephrectomy Outcomes by Using the Diameter-Axis-Polar Nephrometry Score: DAP and Partial Nephrectomy Outcomes. International Journal of Urology, 21, 442-446. [Google Scholar] [CrossRef] [PubMed]
[24] Naya, Y., Ka-wauchi, A., Oishi, M., et al. (2015) Comparison of Diameter-Axial-Polar Nephrometry and RENAL Nephrometry Score for Treatment Decision-Making in Patients with Small Renal Mass. International Journal of Clinical Oncology, 20, 358-361. [Google Scholar] [CrossRef] [PubMed]
[25] Simmons, M.N., Lieser, G.C., Fergany, A.F., et al. (2013) Association between Warm Ischemia Time and Renal Parenchymal Atrophy after Partial Nephrectomy. Journal of Urology, 189, 1638-1642. [Google Scholar] [CrossRef] [PubMed]
[26] 王苏贵, 张璐, 姜福金, 等. DAP评分系统在肾癌后腹腔镜肾部分切除术中的临床应用[J]. 中华临床医师杂志(电子版), 2021, 15(4): 255-259.
[27] 王磊, 马玲, 葛玉坤, 等. 直径-轴距-极距肾肿瘤评分在腹腔镜肾部分切除术中的临床应用[J]. 新乡医学院学报, 2020, 37(2): 165-169.
[28] Nisen, H., Ruutu, M., Glücker, E., et al. (2014) Renal Tumour Invasion Index as a Novel Anatomical Classification Predicting Urological Complications after Partial Nephrectomy. Scandinavian Journal of Urology, 48, 41-51. [Google Scholar] [CrossRef] [PubMed]
[29] Davidiuk, A.J., Parker, A.S., Thomas, C.S., et al. (2014) Mayo Adhesive Probability Score: An Accurate Image-Based Scoring System to Predict Adherent Perinephric Fat in Partial Nephrectomy. European Urology, 66, 1165-1171. [Google Scholar] [CrossRef] [PubMed]
[30] Thiel, D.D., Davidiuk, A.J., Meschia, C., et al. (2016) Mayo Adhesive Probability Score Is Associated with Localized Renal Cell Carcinoma Progression-Free Survival. Urology, 89, 54-62. [Google Scholar] [CrossRef] [PubMed]
[31] 常瑞亭, 孙瑞雪, 于天舒, 等. 基于影像学MAP评分对T1期肾肿瘤切除术式选择的指导意义[J]. 临床放射学杂志, 2020, 39(10): 2028-2032.
[32] Leslie, S., Gill, I.S., De Castro Abreu, A.L., et al. (2014) Renal Tumor Contact Surface Area: A Novel Parameter for Predicting Com-plexity and Outcomes of Partial Nephrectomy. European Urology, 66, 884-893. [Google Scholar] [CrossRef] [PubMed]
[33] Tomaszewski, J.J., Cung, B., Smaldone, M.C., et al. (2014) Re-nal Pelvic Anatomy Is Associated with Incidence, Grade, and Need for Intervention for Urine Leak Following Partial Nephrectomy. European Urology, 66, 949-955. [Google Scholar] [CrossRef] [PubMed]
[34] Tannus, M., Goldman, S.M. and Andreoni, C. (2014) Practical and Intuitive Surgical Approach Renal Ranking to Predict Outcomes in the Management of Renal Tumors: A Novel Score Tool. Journal of Endourology, 28, 487-492. [Google Scholar] [CrossRef] [PubMed]
[35] Hakky, T.S., Baumgarten, A.S., Allen, B., et al. (2014) Zonal NePhRO Scoring System: A Superior Renal Tumor Complexity Classification Model. Clinical Genitourinary Cancer, 12, e13-e18. [Google Scholar] [CrossRef] [PubMed]
[36] Roscigno, M., Ceresoli, F., Naspro, R., et al. (2014) Predictive Accuracy of Nephrometric Scores Can Be Improved by Adding Clinical Patient Characteristics: A Novel Algorithm Combining Anatomic Tumour Complexity, Body Mass Index, and Charlson Comorbidity Index to Depict Perioperative Complications after Nephron-Sparing Surgery. European Urology, 65, 259-262. [Google Scholar] [CrossRef] [PubMed]
[37] Shin, T.Y., Komninos, C., Kim, D.W., et al. (2015) A Novel Mathematical Model to Predict the Severity of Postoperative Functional Reduction before Partial Nephrectomy: The Im-portance of Calculating Resected and Ischemic Volume. Journal of Urology, 193, 423-429. [Google Scholar] [CrossRef] [PubMed]
[38] Zhou, L., Guo, J., Wang, H., et al. (2015) The Zhongshan Score: A Novel and Simple Anatomic Classification System to Predict Perioperative Outcomes of Nephron-Sparing Surgery. Medicine, 94, e506. [Google Scholar] [CrossRef
[39] Papalia, R., De Castro Abreu, A.L., Panebianco, V., et al. (2015) Novel Kidney Segmentation System to Describe Tumour Location for Nephron-Sparing Surgery. World Journal of Urology, 33, 865-871. [Google Scholar] [CrossRef] [PubMed]
[40] Zhou, L., Cao, Y., Bian, T., et al. (2015) Number of Renal Col-umns Invaded by Tumor: A Novel Parameter for Predicting Complexity and Outcomes of Off-Clamp Open Partial Ne-phrectomy. Journal of the American College of Surgeons, 221, 539-549.e1. [Google Scholar] [CrossRef] [PubMed]
[41] Spaliviero, M., Poon, B.Y., Karlo, C.A., et al. (2016) An Arterial Based Complexity (ABC) Scoring System to Assess the Morbidity Profile of Partial Nephrectomy. European Urology, 69, 72-79. [Google Scholar] [CrossRef] [PubMed]
[42] 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.
[43] 王冰, 刁英智. 一项基于术前ABC评分系统评估后腹腔镜肾部分切除术难度及并发症发生率的临床应用[J]. 现代泌尿外科杂志, 2020, 25(1): 50-54.
[44] 张树栋. 复杂情况腹腔镜肾部分切除术的方法探讨(附光盘) [J]. 现代泌尿外科杂志, 2016, 21(5): 325-328.
[45] Zhang, Z., Pan, X., Fan, Y., et al. (2019) DDD Score for Renal Tumor: An Intuitive and Comprehensive Anatomical Scoring System to Access the Outcomes of Retroperitoneal Laparoscopic Partial Nephrectomy. International Journal of Urology, 26, 451-456. [Google Scholar] [CrossRef] [PubMed]
[46] 章民昊, 顾鹏, 何晓亮, 等. DDD评分系统在肾癌后腹腔镜肾部分切除术中的临床应用价值[J]. 中华腔镜泌尿外科杂志(电子版), 2021, 15(2): 93-96.
[47] Wang, J., Lu, Y., Wu, G., et al. (2019) The Role of Three-Dimensional Reconstruction in Laparoscopic Par-tial Nephrectomy for Complex Renal Tumors. World Journal of Surgical Oncology, 17, Article No. 159. [Google Scholar] [CrossRef] [PubMed]
[48] 周建, 聂黎虹, 田国林, 等. R.E.N.A.L.肾肿瘤评分联合MAP肾周脂肪评分用于肾部分切除手术的临床意义[J]. 临床泌尿外科杂志, 2021, 36(9): 699-703.
[49] Kutikov, A., Smaldone, M.C., Egleston, B.L., et al. (2011) Anatomic Features of Enhancing Renal Masses Predict Malignant and High-Grade Pathology: A Preoperative Nomogram Using the RENAL Nephrometry Score. European Urology, 60, 241-248. [Google Scholar] [CrossRef] [PubMed]
[50] 许培榕, 黄嘉琦, 张思弘, 等. 肾肿瘤复杂度评估体系在术前预测肾脏透明细胞癌WHO/ISUP核分级中的应用[J]. 复旦学报(医学版), 2021, 48(4): 476-480.
[51] 李新飞, 彭意吉, 余霄腾, 等. 肾部分切除术前CT三维可视化评估标准的初步探究[J]. 北京大学学报(医学版), 2021, 53(3): 613-622.