山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (3): 127-133.doi: 10.6040/j.issn.1671-7554.0.2022.1328
王辉1,王连雷1,吴天驰2,田永昊1,原所茂1,王霞1,吕维加2,刘新宇1
WANG Hui1, WANG Lianlei1, WU Tianchi2, TIAN Yonghao1, YUAN Suomao1, WANG Xia1, LYU Weijia2, LIU Xinyu1
摘要: 目的 分析人工智能辅助设计3D打印导板在脊柱侧凸矫形手术中的应用价值。 方法 回顾性分析2018年6月至2022年9月接受脊柱侧凸矫形手术患者66例的临床资料。采用人工智能辅助设计3D打印导板置入椎弓根螺钉患者24例(智能导板组),其中先天性脊柱侧凸10例,特发性脊柱侧凸8例,退变性脊柱侧凸6例。且均在术前应用SurigiPlan V1.0辅助规划螺钉型号及路径。42例采用徒手置入椎弓根螺钉(徒手组),其中先天性脊柱侧凸16例,特发性脊柱侧凸13例,退变性脊柱侧凸13例。对比两组住院时间、手术时间、术中出血量、术中辐射量、术后椎弓根螺钉置入的准确率和安全性、术前规划与实际置入应用螺钉的符合率以及治疗前后脊柱影像学参数变化。 结果 两组共置入1 342枚椎弓根螺钉,其中智能导板组与徒手组分别置入468枚和874枚螺钉。智能导板组置钉安全性高于徒手组(98.29% vs 92.33%,P<0.05),置钉准确性高于徒手组(94.23% vs 82.95%,P<0.05)。智能导板组468枚螺钉中,术前规划螺钉的长度及直径与实际应用螺钉的符合率分别为97.01%(454枚)和95.51%(447枚)。两组术前及术后主弯的Cobb角及顶椎旋转角、手术时间、出血量等指标差异无统计学意义(P>0.05)。智能导板组患者的术中辐射剂量低于徒手组(P<0.05),两组医生的术中辐射剂量差异无统计学意义(P>0.05)。 结论 与徒手置钉相比,人工智能辅助设计制造的3D打印手术导板可显著提高置钉准确性、安全性及置钉效率。
中图分类号:
| [1] Hicks JM, Singla A, Shen FH, et al. Complications of pedicle screw fixation in scoliosis surgery: a systematic review[J]. Spine(Phila Pa 1976), 2010, 35(11): E465-E470. [2] Foxx KC, Kwak RC, Latzman JM, et al. A retrospective analysis of pedicle screws in contact with the great vessels[J]. J Neurosurg Spine, 2010, 13(3): 403-406. [3] Soultanis KC, Sakellariou VI, Starantzis KA, et al. Late diagnosis of perforation of the aorta by a pedicle screw[J]. Acta Orthop Belg, 2013, 79(4): 361-367. [4] 陈豪杰, 朱贤友, 董亮, 等. 青少年特发性脊柱侧弯矫形术中机器人辅助植钉的研究[J]. 中国修复重建外科杂志, 2021, 35(11): 1457-1462. CHEN Haojie, ZHU Xianyou, DONG Liang, et al. Study on robot-assisted pedicle screw implantation in adolescent idiopathic scoliosis surgery[J]. Chinese Journal of Reparative and Reconstructive Surgery, 2021, 35(11): 1457-1462. [5] Fujita R, Oda I, Takeuchi H, et al. Accuracy of pedicle screw placement using patient-specific template guide system[J]. J Orthop Sci, 2022, 27(2): 348-354. [6] Larson AN, Polly DW, Guidera KJ, et al. The accuracy of navigation and 3D image-guided placement for the placement of pedicle screws in congenital spine deformity[J]. J Pediatr Orthop, 2012, 32(6): e9-23. [7] Manbachi A, Cobbold RS, Ginsberg HJ. Guided pedicle screw insertion: techniques and training[J]. Spine J, 2014, 14(1): 165-179. [8] Molliqaj G, Schatlo B, Alaid A, et al. Accuracy of robot-guided versus freehand fluoroscopy-assisted pedicle screw insertion in thoracolumbar spinal surgery[J]. Neurosurg Focus, 2017, 42(5): E14. [9] Sugawara T, Higashiyama N, Kaneyama S, et al. Accurate and simple screw insertion procedure with patient-specific screw guide templates for posterior C1-C2 fixation[J]. Spine(Phila Pa 1976), 2017, 42(6): 340-346. [10] 田野, 张嘉男, 樊勇, 等. 3D打印导航模板与计算机导航辅助置入C2椎弓根和侧块螺钉的对比研究[J]. 实用骨科杂志, 2019, 25(7): 581-587. TIAN Ye, ZHANG Jianan, FAN Yong, et al. A comparative study of 3D printing navigation template and computer navigation-assisted C2 pedicle and pars screws placement[J]. Journal of Practical Orthopaedics, 2019, 25(7): 581-587. [11] Joshi RS, Lau D, Ames CP. Artificial intelligence for adult spinal deformity: current state and future directions[J]. Spine J, 2021, 21(10): 1626-1634. [12] Rasouli JJ, Shao J, Neifert S, et al. Artificial intelligence and robotics in spine surgery[J]. Global Spine J, 2021, 11(4): 556-564. [13] Ma C, Zou D, Qi H, et al. A novel surgical planning system using an AI model to optimize planning of pedicle screw trajectories with highest bone mineral density and strongest pull-out force[J]. Neurosurg Focus, 2022, 52(4): E10. [14] Gertzbein SD, Robbins SE. Accuracy of pedicular screw placement in vivo[J]. Spine(Phila Pa 1976), 1990, 15(1): 11-14. [15] Mason A, Paulsen R, Babuska JM, et al. The accuracy of pedicle screw placement using intraoperative image guidance systems[J]. J Neurosurg Spine, 2014, 20(2): 196-203. [16] Benzakour A, Altsitzioglou P, Lemée JM, et al. Artificial intelligence in spine surgery[J]. Int Orthop, 2023, 47(2): 457-465. [17] Joshi RS, Lau D, Ames CP. Artificial intelligence and the future of spine surgery[J]. Neurospine, 2019, 16(4): 637-639. [18] Gautschi OP, Schatlo B, Schaller K, et al. Clinically relevant complications related to pedicle screw placement in thoracolumbar surgery and their management: a literature review of 35, 630 pedicle screws[J]. Neurosurg Focus, 2011, 31(4): E8. [19] Charles YP, Lamas V, Ntilikina Y. Artificial intelligence and treatment algorithms in spine surgery[J]. Orthop Traumatol Surg Res, 2023, 109(1s): 103456. [20] Tong Y, Kaplan DJ, Spivak JM, et al. Three-dimensional printing in spine surgery: a review of current applications[J]. Spine J, 2020, 20(6): 833-846. [21] Riis J, Lehman RR, Perera RA, et al. A retrospective comparison of intraoperative CT and fluoroscopy evaluating radiation exposure in posterior spinal fusions for scoliosis[J]. Patient Saf Surg, 2017, 11: 32. doi: 10.1186/s13037-017-0142-0. [22] Lee K, Lee KM, Park MS, et al. Measurements of surgeons' exposure to ionizing radiation dose during intraoperative use of C-arm fluoroscopy[J]. Spine(Phila Pa 1976), 2012, 37(14): 1240-1244. [23] Mariscalco MW, Yamashita T, Steinmetz MP, et al. Radiation exposure to the surgeon during open lumbar microdiscectomy and minimally invasive microdiscectomy: a prospective, controlled trial[J]. Spine(Phila Pa 1976), 2011, 36(3): 255-260. [24] Mulconrey DS. Fluoroscopic radiation exposure in spinal surgery: in vivo evaluation for operating room personnel[J]. Clin Spine Surg, 2016, 29(7): E331-E335. [25] Wang H, Zhang Z, Qiu G, et al. Risk factors of perioperative complications for posterior spinal fusion in degenerative scoliosis patients: a retrospective study[J]. BMC Musculoskelet Disord, 2018, 19(1): 242. [26] Diab M, Smith AR, Kuklo TR, et al. Neural complications in the surgical treatment of adolescent idiopathic scoliosis[J]. Spine(Phila Pa 1976), 2007, 32(24): 2759-2763. [27] Buell TJ, Smith JS, Shaffrey CI, et al. Operative treatment of severe scoliosis in symptomatic adults: multicenter assessment of outcomes and complications with minimum 2-year follow-up[J]. Neurosurgery, 2021, 89(6): 1012-1026. [28] Chen X, Gao X, Zheng F, et al. Feasibility analysis of 3D printing-assisted pedicle screw correction surgery for degenerative scoliosis[J]. Evid Based Complement Alternat Med, 2022, 2022: 4069778. doi: 10.1155/2022/4069778. [29] Vissarionov SV, Kokushin DN, Khusainov NO, et al. Comparing the treatment of congenital spine deformity using freehand techniques in vivo and 3D-printed templates in vitro(prospective-retrospective single-center analytical single-cohort study)[J]. Adv Ther, 2020, 37(1): 402-419. |
| [1] | 梁晨,姚丽娟,吕龙飞,唐泽,秦达,崔有斌,余孝淇. 三维重建联合CT引导下穿刺定位在微创治疗肺磨玻璃结节中的应用[J]. 山东大学学报 (医学版), 2026, 64(5): 74-82. |
| [2] | 中国医师协会骨科医师分会智能骨科学组,中华预防医学会脊柱疾病预防与控制专业委员会脊柱脊髓损伤疾病预防与控制学组. 人工智能脊柱退变影像学测量位点与标注专家共识(2025)[J]. 山东大学学报 (医学版), 2026, 64(2): 1-10. |
| [3] | 季心宇,余思沂,孙圆圆,姬冰. 基于人工智能和步态分析的骨科疾病辅助诊疗方法[J]. 山东大学学报 (医学版), 2026, 64(2): 34-43. |
| [4] | 邹宇锦,万熠,纪振冰,梁西昌. 促骨再生-抗肿瘤双功能钛合金植入体的生物实验研究[J]. 山东大学学报 (医学版), 2026, 64(2): 50-65. |
| [5] | 王建民,李晓峰,由志涛,董圣杰,赵宇驰,李占菊,邹德鑫,张剑锋,孙涛,杜伟. 基于可解释机器学习的后路腰椎椎体间融合术后慢性疼痛风险预测模型构建[J]. 山东大学学报 (医学版), 2026, 64(2): 78-88. |
| [6] | 王宝炫,焦杰,张厚君,刘奇,于冠英. 衰弱与肌少症评估在胃肠道肿瘤术后结局预测中的应用与展望[J]. 山东大学学报 (医学版), 2025, 63(4): 51-58. |
| [7] | 张鑫茹,李扬,孙萌,聂玮,马喆. Vision-LSTM模型在甲状腺影像报告与数据系统4b类甲状腺结节超声影像诊断中的应用与评估[J]. 山东大学学报 (医学版), 2025, 63(11): 68-74. |
| [8] | 武琪琪,成淼淼,肖晓燕. 多模态模型在肾脏病领域的应用[J]. 山东大学学报 (医学版), 2025, 63(10): 117-124. |
| [9] | 梁博文,陆清声. 机器人辅助主动脉腔内修复术的进展[J]. 山东大学学报 (医学版), 2024, 62(9): 61-65. |
| [10] | 张景慧,王娟,赵玉洁,段淼,刘毅然,林敏娟,谯旭,李真,左秀丽. 基于机器学习的胃肠道疾病舌诊模型构建[J]. 山东大学学报 (医学版), 2024, 62(1): 38-47. |
| [11] | 黄霖,车圳,李明,李玉希,宁庆. 人工智能在骨科疾病诊治中的研究进展[J]. 山东大学学报 (医学版), 2023, 61(3): 37-45. |
| [12] | 刘亚军,袁强,吴静晔,韩晓光,郎昭,张勇. 130例锥形束CT影像腰椎椎弓根螺钉自动规划的初步分析[J]. 山东大学学报 (医学版), 2023, 61(3): 80-89. |
| [13] | 王政,孙小刚,李超,王连雷,李冬来,原所茂,田永昊,刘新宇. 机器人辅助MIS-TLIF与徒手开放TLIF治疗腰椎退行性疾病的比较:2年随访[J]. 山东大学学报 (医学版), 2023, 61(3): 97-106. |
| [14] | 李超,孙小刚,李昊,田永昊,原所茂,刘新宇,王连雷. 机器人联合三维“C”型臂辅助置钉在44例脊柱侧弯矫形术中的应用价值[J]. 山东大学学报 (医学版), 2023, 61(3): 107-114. |
| [15] | 朱超,孙超,刘绪昌,夏大伟,马春骋,丰荣杰. 3D打印椎间融合器在37例单节段腰椎手术中的应用[J]. 山东大学学报 (医学版), 2023, 61(3): 134-140. |
|
||