多模态影像技术在原发性肝癌外科中的应用
|
摘要
<正>原发性肝癌(肝癌)是我国第4位常见恶性肿瘤及第3位肿瘤致死病因,手术切除是治疗肝癌的有效方法~([1])。精准肝切除是最理想的手术方式,而如何精确定位肿瘤,发现全部病灶是实现精准肝切除的前提~([2])。尽管现代影像学技术在不断更新进步,但任何单一模态影像均存在局限性,无法在术前和术中完全实现对肝脏肿瘤的精确诊断。多模态影像技术通过联合多种成像技术,融合不同模态图像的信息,从而实现影像信息的互补、丰富与完善,使医师可以充分地获取病变组织或器官的综合影像信息,作出更加精准的诊断决策,制定最佳
引文
[1]中华人民共和国国家卫生和计划生育委员会.原发性肝癌诊疗规范(2017年版)[J].传染病信息,2017,30(3):111-127.
[2]Dong J,Yang S,Zeng J,et al.Precision in liver surgery[J].Semin Liver Dis,2013,33(3):189-203.
[3]佟正灏,王荣福.多模态影像技术在临床中的应用进展[J].CT理论与应用研究,2014,23(4):707-714.
[4]张绍祥,姜洪池,梁力建,等.计算机辅助联合吲哚菁绿分子荧光影像技术在肝脏肿瘤诊断和手术导航中的应用专家共识[J].中国实用外科杂志,2017,37(5):531-538.
[5]Trojan J,Zangos S,Schnitzbauer AA.Diagnostics and treatment of hepatocellular carcinoma in 2016:standards and developments[J].Visc Med,2016,32(2):116-120.
[6]Nanashima A,Abo T,Sakamoto I,et al.Three-dimensional fusion images of hepatic vasculature and bile duct used for preoperative simulation before hepatic surgery[J].Hepatogastroenterology,2012,59(118):1748-1757.
[7]Imbriaco M,De Luca S,Coppola M,et al.Diagnostic accuracy of Gd-EOB-DTPA for detection hepatocellular carcinoma(HCC):a comparative study with dynamic contrast enhanced magnetic resonance imaging(MRI)and dynamic contrast enhanced computed tomography(CT)[J].Pol J Radiol,2017(82):50-57.
[8]Chen C,Zhao H,Fu X,et al.Contrast-enhanced computed tomography plus gadolinium-ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging for gross classification of hepatocellular carcinoma[J].Oncotarget,2017,8(18):29741-29750.
[9]刘允怡,张绍祥,姜洪池,等.复杂性肝脏肿瘤三维可视化精准诊治专家共识[J].中国实用外科杂志,2017,37(1):53-59.
[10]李鹏鹏,王志恒,黄罡,等.肝脏三维可视化技术在肝脏恶性肿瘤治疗规划中的应用研究[J].中华外科杂志,2017,55(12):916-922.
[11]方驰华,刘允怡,周伟平,等.数字医学技术在中国普通外科应用的十年回顾[J].中华外科杂志,2017,55(12):887-890.
[12]Chi C,Du Y,Ye J,et al.Intraoperative imaging-guided cancer surgery:from current fluorescence molecular imaging methods to future multi-modality imaging technology[J].Theranostics,2014,4(11):1072-1084.
[13]方驰华,梁洪玻,迟崇巍,等.吲哚氰绿介导的近红外光技术在微小肝脏肿瘤识别、切缘界定和精准手术导航的应用[J].中华外科杂志,2016,54(6):444-450.
[14]Zhang YM,Shi R,Hou JC,et al.Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging[J].J Cancer Res Clin Oncol,2017,143(1):51-58.
[15]El-Serag HB.Hepatocellular carcinoma[J].N Engl J Med,2011,365(12):1118-1127.
[16]Gotoh K,Yamada T,Ishikawa O,et al.A novel image-guided surgery of hepatocellular carcinoma by indocyanine green fluorescence imaging navigation[J].J Surg Oncol,2009,100(1):75-79.
[17]Ho MC,Hasegawa K,Chen XP,et al.Surgery for intermediate and advanced hepatocellular carcinoma:a consensus report from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting(APPLE 2014)[J].Liver Cancer,2016,5(4):245-256.
[18]刘允怡,赖俊雄.肝癌肝切除手术方式的理论基础及临床价值[J].中国实用外科杂志,2018,38(4):345-348.
[19]Inoue Y,Arita J,Sakamoto T,et al.Anatomical liver resections guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging[J].Ann Surg,2015,262(1):105-111.
[20]王宏光.吲哚菁绿肝段染色在腹腔镜肝癌切除中应用及意义[J].中国实用外科杂志,2018,38(4):376-378.
[21]王宏光,陈明易,许寅喆.吲哚菁绿荧光融合影像引导的腹腔镜解剖性肝切除术[J/CD].中华普外科手术学杂志(电子版),2017,11(5):372.
[22]隋明昊,王宏光,陈明易,等.吲哚菁绿荧光融合影像技术在解剖性肝切除手术中的应用[J].中华肝胆外科杂志,2017,23(11):754-757.
[23]Kaibori M,Ishizaki M,Matsui K,et al.Intraoperative indocyanine green fluorescent imaging for prevention of bile leakage after hepatic resection[J].Surgery,2011,150(1):91-98.
[24]Lim C,Vibert E,Azoulay D,et al.Indocyanine green fluorescence imaging in the surgical management of liver cancers:current facts and future implications[J].J Visc Surg,2014,151(2):117-124.
[25]Joo I.The role of intraoperative ultrasonography in the diagnosis and management of focal hepatic lesions[J].Ultrasonography,2015,34(4):246-257.
[26]Uchiyama K,Ueno M,Ozawa S,et al.Combined intraoperative use of contrast-enhanced ultrasonography imaging using a sonazoid and fluorescence navigation system with indocyanine green during anatomical hepatectomy[J].Langenbecks Arch Surg,2011,396(7):1101-1107.
[27]方驰华,张文宇,杨剑.三维可视化联合3D腹腔镜右半肝切除术的关键技术和优势[J/CD].中华普外科手术学杂志(电子版),2017,11(5):364-367.
[28]Sauer IM,Queisner M,Tang P,et al.Mixed reality in visceral surgery:development of a suitable workflow and evaluation of intraoperative use-cases[J].Ann Surg,2017,266(5):706-712.
[29]王壮雄,李林容,王芳元,等.虚拟和增强现实技术在肝脏外科的应用[J].实用医学杂志,2018,34(7):1210-1212.
[2]Dong J,Yang S,Zeng J,et al.Precision in liver surgery[J].Semin Liver Dis,2013,33(3):189-203.
[3]佟正灏,王荣福.多模态影像技术在临床中的应用进展[J].CT理论与应用研究,2014,23(4):707-714.
[4]张绍祥,姜洪池,梁力建,等.计算机辅助联合吲哚菁绿分子荧光影像技术在肝脏肿瘤诊断和手术导航中的应用专家共识[J].中国实用外科杂志,2017,37(5):531-538.
[5]Trojan J,Zangos S,Schnitzbauer AA.Diagnostics and treatment of hepatocellular carcinoma in 2016:standards and developments[J].Visc Med,2016,32(2):116-120.
[6]Nanashima A,Abo T,Sakamoto I,et al.Three-dimensional fusion images of hepatic vasculature and bile duct used for preoperative simulation before hepatic surgery[J].Hepatogastroenterology,2012,59(118):1748-1757.
[7]Imbriaco M,De Luca S,Coppola M,et al.Diagnostic accuracy of Gd-EOB-DTPA for detection hepatocellular carcinoma(HCC):a comparative study with dynamic contrast enhanced magnetic resonance imaging(MRI)and dynamic contrast enhanced computed tomography(CT)[J].Pol J Radiol,2017(82):50-57.
[8]Chen C,Zhao H,Fu X,et al.Contrast-enhanced computed tomography plus gadolinium-ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging for gross classification of hepatocellular carcinoma[J].Oncotarget,2017,8(18):29741-29750.
[9]刘允怡,张绍祥,姜洪池,等.复杂性肝脏肿瘤三维可视化精准诊治专家共识[J].中国实用外科杂志,2017,37(1):53-59.
[10]李鹏鹏,王志恒,黄罡,等.肝脏三维可视化技术在肝脏恶性肿瘤治疗规划中的应用研究[J].中华外科杂志,2017,55(12):916-922.
[11]方驰华,刘允怡,周伟平,等.数字医学技术在中国普通外科应用的十年回顾[J].中华外科杂志,2017,55(12):887-890.
[12]Chi C,Du Y,Ye J,et al.Intraoperative imaging-guided cancer surgery:from current fluorescence molecular imaging methods to future multi-modality imaging technology[J].Theranostics,2014,4(11):1072-1084.
[13]方驰华,梁洪玻,迟崇巍,等.吲哚氰绿介导的近红外光技术在微小肝脏肿瘤识别、切缘界定和精准手术导航的应用[J].中华外科杂志,2016,54(6):444-450.
[14]Zhang YM,Shi R,Hou JC,et al.Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging[J].J Cancer Res Clin Oncol,2017,143(1):51-58.
[15]El-Serag HB.Hepatocellular carcinoma[J].N Engl J Med,2011,365(12):1118-1127.
[16]Gotoh K,Yamada T,Ishikawa O,et al.A novel image-guided surgery of hepatocellular carcinoma by indocyanine green fluorescence imaging navigation[J].J Surg Oncol,2009,100(1):75-79.
[17]Ho MC,Hasegawa K,Chen XP,et al.Surgery for intermediate and advanced hepatocellular carcinoma:a consensus report from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting(APPLE 2014)[J].Liver Cancer,2016,5(4):245-256.
[18]刘允怡,赖俊雄.肝癌肝切除手术方式的理论基础及临床价值[J].中国实用外科杂志,2018,38(4):345-348.
[19]Inoue Y,Arita J,Sakamoto T,et al.Anatomical liver resections guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging[J].Ann Surg,2015,262(1):105-111.
[20]王宏光.吲哚菁绿肝段染色在腹腔镜肝癌切除中应用及意义[J].中国实用外科杂志,2018,38(4):376-378.
[21]王宏光,陈明易,许寅喆.吲哚菁绿荧光融合影像引导的腹腔镜解剖性肝切除术[J/CD].中华普外科手术学杂志(电子版),2017,11(5):372.
[22]隋明昊,王宏光,陈明易,等.吲哚菁绿荧光融合影像技术在解剖性肝切除手术中的应用[J].中华肝胆外科杂志,2017,23(11):754-757.
[23]Kaibori M,Ishizaki M,Matsui K,et al.Intraoperative indocyanine green fluorescent imaging for prevention of bile leakage after hepatic resection[J].Surgery,2011,150(1):91-98.
[24]Lim C,Vibert E,Azoulay D,et al.Indocyanine green fluorescence imaging in the surgical management of liver cancers:current facts and future implications[J].J Visc Surg,2014,151(2):117-124.
[25]Joo I.The role of intraoperative ultrasonography in the diagnosis and management of focal hepatic lesions[J].Ultrasonography,2015,34(4):246-257.
[26]Uchiyama K,Ueno M,Ozawa S,et al.Combined intraoperative use of contrast-enhanced ultrasonography imaging using a sonazoid and fluorescence navigation system with indocyanine green during anatomical hepatectomy[J].Langenbecks Arch Surg,2011,396(7):1101-1107.
[27]方驰华,张文宇,杨剑.三维可视化联合3D腹腔镜右半肝切除术的关键技术和优势[J/CD].中华普外科手术学杂志(电子版),2017,11(5):364-367.
[28]Sauer IM,Queisner M,Tang P,et al.Mixed reality in visceral surgery:development of a suitable workflow and evaluation of intraoperative use-cases[J].Ann Surg,2017,266(5):706-712.
[29]王壮雄,李林容,王芳元,等.虚拟和增强现实技术在肝脏外科的应用[J].实用医学杂志,2018,34(7):1210-1212.