北京大学学报(医学版) ›› 2021, Vol. 53 ›› Issue (3): 613-622. doi: 10.19723/j.issn.1671-167X.2021.03.030

• 技术方法 • 上一篇    下一篇

肾部分切除术前CT三维可视化评估标准的初步探究

李新飞1,*,彭意吉1,*,余霄腾1,*,熊盛炜1,程嗣达1,丁光璞1,杨昆霖1,唐琦1,Δ(),米悦1,吴静云1,张鹏2,谢家馨1,郝瀚1,王鹤3,邱建星3,杨建4,李学松1,Δ(),周利群1   

  1. 1.北京大学第一医院泌尿外科,北京大学泌尿外科研究所,国家泌尿、男性生殖系肿瘤研究中心,北京 100034
    2.应急总医院泌尿外科,北京 100028
    3.北京大学第一医院影像科,北京 100034
    4.北京理工大学光电学院,北京市混合现实与新型显示工程技术研究中心,北京 100081
  • 收稿日期:2020-05-18 出版日期:2021-06-18 发布日期:2021-06-16
  • 通讯作者: 唐琦,李学松 E-mail:drtangq@163.com;pineneedle@sina.com

Three dimensional nephrometry system for partial nephrectomy: Our initial exploration

LI Xin-fei1,*,PENG Yi-ji1,*,YU Xiao-teng1,*,XIONG Sheng-wei1,CHENG Si-da1,DING Guang-pu1,YANG Kun-lin1,TANG Qi1,Δ(),MI Yue1,WU Jing-yun1,ZHANG Peng2,XIE Jia-xin1,HAO Han1,WANG He3,QIU Jian-xing3,YANG Jian4,LI Xue-song1,Δ(),ZHOU Li-qun1   

  1. 1. Department of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China
    2. Department of Urology, Emergency General Hospital, Beijing 100028, China
    3. Department of Radiology, Peking University First Hospital, Beijing 100034, China
    4. Beijing Engineering Research Center for Mixed Reality and Advanced Display Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • Received:2020-05-18 Online:2021-06-18 Published:2021-06-16
  • Contact: Qi TANG,Xue-song LI E-mail:drtangq@163.com;pineneedle@sina.com

摘要:

目的: 探索并构建肾肿瘤行肾部分切除术的CT三维可视化术前评估系统及其应用价值。方法: 回顾性收集北京大学第一医院泌尿外科因肾肿瘤行肾部分切除术患者的临床资料做初步探究,同时收集我国16家临床中心因肾肿瘤行肾部分切除术患者的同质化标准数据,应用CT三维可视化系统(IPS系统,Yorktal)评估肿瘤解剖结构、血供等信息,通过归纳和总结构建评估系统,完成虚拟手术设计及术中辅助导航,指导临床手术。结果: 基于泌尿系增强CT建立三维可视化图像,评分系统纳入肿瘤最长径和体积、肿瘤侵入实质内体积占比、肿瘤侵入实质最大深度、肿瘤与肾实质接触面积、肿瘤肾实质接触面平整度、肿瘤所在肾脏分段位置、肾血管变异情况及肾周脂肪。肿瘤平均二维直径为(2.78±1.43) cm,平均三维最大径为(3.09±1.35) cm,术后病理平均大小(3.01±1.38) cm。三维重建肿瘤最大径与术中肾动脉阻断时间延长、术中出血量显著相关(r=0.502,P=0.020;r=0.403,P=0.046)。三维重建及病理肿瘤体积分别为(25.7±48.4) cm3、(33.0±36.4) cm3(P=0.229),三维重建肿瘤体积与术中出血量显著相关(r=0.660,P<0.001),肿瘤侵入肾实质内体积占比与术中肾动脉阻断时间延长、术后并发症的发生显著相关(r=0.410,P=0.041;r=0.587,P=0.005)。肿瘤与肾实质接触面积及是否存在血管变异与围手术期指标及术后并发症未见相关性。完成术前评估的同时,重建后的三维影像可在Touch Viewer系统上进行缩放、旋转、组合显示、颜色调整、透明化、长度体积自动测量及模拟裁切等操作,满足术前虚拟手术规划及术中辅助导航的要求。结论: 三维图像可提供更加直观的解剖结构,清晰显示肿瘤解剖参数及血供、脂肪等信息,CT三维重建肾肿瘤评价系统可帮助预测肾部分切除术手术难度、围术期并发症等。重建的三维可视化图像导入指定程序或机器人操作系统即可完成虚拟手术及术中辅助导航,帮助手术医师更好地把握手术过程。评分系统所包含的指标及各项指标的分值权重需要通过多中心大样本的研究来证实及完善。

关键词: 肾肿瘤, 肾切除术, 外科手术,计算机辅助, 体层摄影术,X线计算机, 成像,三维

Abstract:

Objective: To construct a preoperative evaluation system for partial nephrectomy using CT three-dimensional visualization technology and to explore its practical value. Methods: The clinical data of the patients who underwent partial nephrectomy for renal tumors in Department of Urology, Peking University First Hospital were collected retrospectively. At the same time, the homogenized standard data of patients who underwent partial nephrectomy for renal tumors were collected in 16 clinical centers in China. The CT three-dimensional visualization system was applied (IPS system, Yorktal) to evaluate tumor anatomy, blood supply, perirenal fat and other information. The parameters were summarized to build a three-dimensional nephrometry system, on the basis of which virtual surgery design and intraoperative navigation were completed. Results: A three-dimensional visualization image was established based on the enhanced CT urography. The nephrometry system included the longest diameter and volume of the tumor, proportion volume of tumor invading the parenchyma, maximum depth of the tumor invading the parenchyma, contact surface area, flatness of the tumor surface, renal segment where the tumor was located, vascular variation, and perirenal fat. The average two-dimensional diameter of the tumor was (2.78±1.43) cm, the average three-dimensional maximum diameter was (3.09±1.35) cm, and the average postoperative pathological size was (3.01±1.38) cm. The maximum tumor diameter in the three-dimensional image was significantly related to the prolonged renal artery clamping time and intra-operative blood loss (r=0.502, P=0.020; r=0.403, P=0.046). The three-dimensional and pathological tumor volume were (25.7±48.4) cm3 and (33.0±36.4) cm3, respectively (P=0.229). The tumor volume was significantly related to the intraoperative blood loss (r=0.660, P<0.001). The proportion volume of the tumor invading into renal parenchyma was significantly related to the prolongation of renal artery clamping and the occurrence of postoperative complications (r=0.410, P=0.041; r=0.587, P=0.005). The tumor contact surface area and the presence of vascular variation did not show correlation with the perioperative data and postoperative complications. While the preoperative evaluation was completed, the reconstructed three-dimensional image could be zoomed, rotated, combined display, color adjustment, transparency, and simulated cutting on the Touch Viewer system. The process generally consisted of showing or hiding the tissue, adjusting the transparency of the interested area, rotating and zooming the image to match the position of the surgical patient. Together, these functions met the requirements of preoperative virtual surgery plan and intraoperative auxiliary navigation. Conclusion: Three-dimensional images can provide a more intuitive anatomical structure. The CT three-dimensional visua-lization system clearly displays tumor anatomical parameters, blood supply and perirenal fat. The three-dimensional nephrometry system for renal tumors can help predict the difficulty of partial nephrectomy and perioperative complications. Importing the reconstructed three-dimensional visualization image into the specified program or robot operating system can complete virtual surgery and intraoperative navigation, helping the surgeon to better grasp the surgical process. The indexes included in the nephrometry system and the score weights of each index need to be confirmed and perfected by multi-center study with large samples.

Key words: Kidney neoplasms, Nephrectomy, Surgery,computer-assisted, Tomography,X-ray computed, Imaging,three-dimensiona

中图分类号: 

  • R737.11

图1

肿瘤最长径与体积"

图2

肿瘤侵入肾实质体积比与肿瘤接触面积"

图3

肿瘤侵入肾实质最大深度"

图4

肾脏分段"

图5

肾脏血管变异"

图6

肾周脂肪参数"

图7

三维重建术中导航操作流程示意图"

表1

患者临床资料及CT三维重建数据"

Variables Data
Age/years, $\bar{x} \pm s$ 54.4±10.2
BMI/(kg/m2), $\bar{x} \pm s$ 25.2±3.2
Location, n (%)
Left 28 (48.3)
Right 30 (51.7)
Diameter/cm, $\bar{x} \pm s$ 2.78±1.43
Volume/cm3, $\bar{x} \pm s$ 33.0±36.4
Preoperative creatinine/(μmol/L), $\bar{x} \pm s$ 81.0±16.4
Preoperative eGFR/(mL/min/1.73 m2), $\bar{x} \pm s$ 87.4±16.4
Maximum diameter in 3D image/cm, $\bar{x} \pm s$ 3.09±1.35
Volume in 3D image/cm3, $\bar{x} \pm s$ 25.7±48.4
Proportion of the tumor inside the parenchyma/%, M (range) 38.9% (0.5%-100.0%)
Contact surface area/cm2, $\bar{x} \pm s$ 10.8±7.4
Vascular variation, n (%) 7 (12.1)

表2

肾部分切除术患者围手术期资料"

Variables Data
Operation time/min, $\bar{x} \pm s$ 127.6±50.5
Time of renal artery clamping/min, $\bar{x} \pm s$ 28.5±12.3
Blood loss/mL, M (range) 20 (0-2 800)
Hospital stay/d, M (range) 4.5 (3-18)
Postoperative creatinine/(μmol/L), $\bar{x} \pm s$ 82.3±27.7
Postoperative eGFR/[mL/(min·1.73 m2)], $\bar{x} \pm s$ 70.8±27.6
Complications, n 4

图1

三重建模形整体视图(马蹄肾、双肾积水)"

图2

占位与肾实质、肾盂、肾盏以及血管的关系(左肾肿瘤)"

图3

肾实质、肾盂、肾盏及输尿管与动脉、静脉的关系(右肾积水,箭头示左肾下极异位动脉)"

[1] Rossi SH, Klatte T, Usher-Smith J, et al. Epidemiology and screening for renal cancer[J]. World J Urol, 2018,36(9):1341-1353.
doi: 10.1007/s00345-018-2286-7
[2] Motzer RJ, Jonasch E, Agarwal N, et al. Kidney cancer, version 2. NCCN clinical practice guidelines in oncology[J]. J Natl Compr Canc Netw, 2017,15(6):804-834.
doi: 10.6004/jnccn.2017.0100
[3] Campbell S, Uzzo RG, Allaf ME, et al. Renal mass and localized renal cancer: AUA guideline[J]. J Urol, 2017,198(3):520-529.
doi: 10.1016/j.juro.2017.04.100
[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.
doi: 10.1016/j.eururo.2009.07.040
[5] 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.
doi: 10.1016/j.juro.2009.05.035
[6] 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.
doi: 10.1016/j.juro.2010.01.005
[7] Hew MN, Baseskioglu B, Barwari K, et al. Critical appraisal of the PADUA classification and assessment of the R.E.N.A.L. nephrometry score in patients undergoing partial nephrectomy[J]. J Urol, 2011,186(1):42-46.
doi: 10.1016/j.juro.2011.03.020
[8] Wadle J, Hetjens S, Winter J, et al. Nephrometry scores: The effect of imaging on routine read-out and prediction of outcome of nephron-sparing surgery[J]. Anticancer Res, 2018,38(5):3037-3041.
[9] Porpiglia F, Amparore D, Checcucci E, et al. Current use of three-dimensional model technology in urology: A road map for personalised surgical planning[J]. Eur Urol Focus, 2018,4(5):652-656.
[10] Cartiaux O, Paul L, Francq BG, et al. Improved accuracy with 3D planning and patient-specific instruments during simulated pelvic bone tumor surgery[J]. Ann Biomed Eng, 2014,42(1):205-213.
doi: 10.1007/s10439-013-0890-7 pmid: 23963884
[11] Wu J, Li Y, Zhang Y. Use of intraoral scanning and 3-dimensional printing in the fabrication of a removable partial denture for a patient with limited mouth opening[J]. J Am Dent Assoc, 2017,148(5):338-341.
doi: 10.1016/j.adaj.2017.01.022
[12] Porpiglia F, Amparore D, Checcucci E, et al. Three-dimensional virtual imaging of renal tumours: A new tool to improve the accuracy of nephrometry scores[J]. BJU Int, 2019,124(6):945-954.
doi: 10.1111/bju.14894
[13] Tannus M, Goldman SM, Andreoni C. Practical and intuitive surgical approach renal ranking to predict outcomes in the management of renal tumors: A novel score tool[J]. J Endourol, 2014,28(4):487-492.
doi: 10.1089/end.2013.0148
[14] Nisen H, Ruutu M, Glucker 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.
[15] Leslie S, Gill IS, de Castro AA, 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.
doi: 10.1016/j.eururo.2014.03.010
[16] Hsieh PF, Wang YD, Huang CP, et al. A mathematical method to calculate tumor contact surface area: An effective parameter to predict renal function after partial nephrectomy[J]. J Urol, 2016,196(1):33-40.
doi: 10.1016/j.juro.2016.01.092
[17] Takagi T, Yoshida K, Kondo T, et al. Association between tumor contact surface area and parenchymal volume change in robot-assisted laparoscopic partial nephrectomy carried out using the enucleation technique[J]. Int J Urol, 2019,26(7):745-751.
doi: 10.1111/iju.2019.26.issue-7
[18] Kiziloz H, Dorin R, Finnegan KT, et al. The impact of body mass index on perioperative outcomes in robot-assisted laparoscopic partial nephrectomy[J]. J Endourol, 2013,27(8):1000-1007.
doi: 10.1089/end.2012.0665
[19] Gong EM, Orvieto MA, Lyon MB, et al. Analysis of impact of body mass index on outcomes of laparoscopic renal surgery[J]. Urology, 2007,69(1):38-43.
doi: 10.1016/j.urology.2006.09.020
[20] Macleod LC, Hsi RS, Gore JL, et al. Perinephric fat thickness is an independent predictor of operative complexity during robot-assisted partial nephrectomy[J]. J Endourol, 2014,28(5):587-591.
doi: 10.1089/end.2013.0647
[1] 韩松辰,黄子雄,刘慧鑫,徐涛. 单侧肾细胞癌根治性切除术后的肾功能代偿[J]. 北京大学学报(医学版), 2021, 53(4): 680-685.
[2] 邱敏,费月阳,邓绍晖,刘承,卢剑,何为,陆敏,田晓军,张树栋,马潞林. 后肾腺瘤的诊治经验及文献回顾[J]. 北京大学学报(医学版), 2021, 53(2): 417-419.
[3] 毕海,黄毅,马潞林,陆敏,张树栋,张洪宪. 3例肾尤文肉瘤合并下腔静脉癌栓的诊治[J]. 北京大学学报(医学版), 2020, 52(5): 985-989.
[4] 纪翔,王义,周哲,赵子臣,果宏峰,王刚,张志宏,晋连超,孙国锋,赵文锋,汪磊,贺利军,李宁忱,那彦群. 后腹腔镜超声引导下微波消融治疗复杂肾肿瘤[J]. 北京大学学报(医学版), 2020, 52(4): 785-789.
[5] 田晓军,邱敏,刘茁,肖若陶,黄毅,王国良,侯小飞,张树栋,庄申榕,马潞林. 微创手术治疗肾癌合并Mayo 0~2级静脉癌栓的单中心研究[J]. 北京大学学报(医学版), 2018, 50(6): 1053-1056.
[6] 叶雄俊,刘军,安立哲,熊六林,徐涛,黄晓波. 麦氏点斜切口在全腹腔镜下肾输尿管全长切除术中的应用[J]. 北京大学学报(医学版), 2018, 50(4): 762-封三.
[7] 马伟国,秦彩朋,于路平,张晓鹏,刘士军,王永顺, 白文俊,徐涛. 后腹腔镜下孤立肾采用肾动脉非阻断法行保留肾单位肾肿瘤剜除术的疗效评价[J]. 北京大学学报(医学版), 2018, 50(4): 759-761.
[8] 徐奔,张喆楠,罗程,宋海峰,张骞. 后腹腔镜下肿瘤吸除术与肾部分切除术治疗肾血管平滑肌脂肪瘤的安全性与有效性对比[J]. 北京大学学报(医学版), 2018, 50(4): 700-704.
[9] 黄子雄,张晓鹏,董森,刘士军,杨荣利,周宇石,马伟国. 肾黏液性小管和梭形细胞癌合并骨转移1例及文献回顾[J]. 北京大学学报(医学版), 2018, 50(4): 732-735.
[10] 叶剑飞,马潞林,赵磊,王国良. 腔静脉节段切除术在处理侵犯腔静脉的肾肿瘤瘤栓中的应用[J]. 北京大学学报(医学版), 2018, 50(1): 183-187.
[11] 赵磊, 马潞林, 张洪宪, 侯小飞, 刘磊, 付燕, 寇允更, 宋一萌. 后腹腔镜活体供肾切取193例[J]. 北京大学学报(医学版), 2017, 49(5): 867-871.
[12] 刘畅, 崔立刚, 王宏磊. 肾尤文氏肉瘤/原始神经外胚层肿瘤: 1例报道并文献复习[J]. 北京大学学报(医学版), 2017, 49(5): 919-923.
[13] 刘茁,马潞林,田晓军,王国良,侯小飞,张树栋,邓绍晖. 肾癌根治性切除加癌栓取出术治疗Mayo Ⅲ级下腔静脉癌栓的手术技术及临床经验[J]. 北京大学学报(医学版), 2017, 49(4): 597-602.
[14] 梁银华,祖雄兵,程序,刘龙飞. 肾蒂旋转法辅助治疗后腹腔镜下腹侧肾肿瘤的肾部分切除术[J]. 北京大学学报(医学版), 2017, 49(4): 608-612.
[15] 宋航, 邱敏, 卢剑,田晓军, 黄毅, 马潞林, 邓绍晖, 颜野, 陆敏. 合并肾癌的多原发癌诊断与治疗[J]. 北京大学学报(医学版), 2016, 48(5): 926-封三.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 田增民, 陈涛, Nanbert ZHONG, 李志超, 尹丰, 刘爽. 神经干细胞移植治疗遗传性小脑萎缩的临床研究(英文稿)[J]. 北京大学学报(医学版), 2009, 41(4): 456 -458 .
[2] 卢恬, 朱晓辉, 柳世庆, 郑杰, 邱晓彦. 白细胞介素2促进宫颈癌细胞系HeLaS3免疫球蛋白G的表达[J]. 北京大学学报(医学版), 2009, 41(2): 158 -161 .
[3] 袁惠燕, 张苑, 范田园. 离子交换型栓塞微球及其载平阳霉素的制备与性质研究[J]. 北京大学学报(医学版), 2009, 41(2): 217 -220 .
[4] 徐莉, 孟焕新, 张立, 陈智滨, 冯向辉, 释栋. 侵袭性牙周炎患者血清中抗牙龈卟啉单胞菌的IgG抗体水平的研究[J]. 北京大学学报(医学版), 2009, 41(1): 52 -55 .
[5] 董稳, 刘瑞昌, 刘克英, 关明, 杨旭东. 氯诺昔康和舒芬太尼用于颌面外科术后自控静脉镇痛的比较[J]. 北京大学学报(医学版), 2009, 41(1): 109 -111 .
[6] 祁琨, 邓芙蓉, 郭新彪. 纳米二氧化钛颗粒对人肺成纤维细胞缝隙连接通讯的影响[J]. 北京大学学报(医学版), 2009, 41(3): 297 -301 .
[7] 李宏亮*, 安卫红*, 赵扬玉, 朱曦. 妊娠合并高脂血症性胰腺炎行血液净化治疗1例[J]. 北京大学学报(医学版), 2009, 41(5): 599 -601 .
[8] 李伟军, 邢晓芳, 曲立科, 孟麟, 寿成超. PRL-3基因C104S位点突变体和CAAX缺失体的构建及表达[J]. 北京大学学报(医学版), 2009, 41(5): 516 -520 .
[9] 丰雷, 王玉凤, 曹庆久. 哌甲酯对注意缺陷多动障碍儿童平衡功能影响的开放性研究[J]. 北京大学学报(医学版), 2007, 39(3): 304 -309 .
[10] 刘津, 王玉凤. 父母培训对共患对立违抗性障碍的注意缺陷多动障碍的作用[J]. 北京大学学报(医学版), 2007, 39(3): 310 -314 .