参考文献/References:
[1]方驰华,顾杨.数字医学技术在我国腹部外科临床应用现状、困难和发展前景.中国实用外科杂志,2013,33(1):25-29.
[2]方驰华,刘允怡,蔡伟.数字医学技术在我国普通外科应用的现状和前景.中华外科杂志,2017,55(1):11-14.
[3]方驰华,田捷,张鹏.等.数字医学技术在肝胆胰外科的应用:20年历史回顾与未来展望.中华外科杂志,2021,59(10):807-811.
[4]Mu GC, Huang Y, Liu ZM, et al. Relationship between celiac artery variation and number of lymph nodes dissection in gastric cancer surgery. World J Gastrointest Oncol,2019,11(6):499-508.
[5]杨昆,胡建昆.4K腹腔镜胃癌根治术右侧站位胰腺上区淋巴结清扫.中华消化外科杂志,2020,19(1):50-53.
[6]周岳,韩博.不同胃周动脉类型胃癌患者围手术期结局及中期预后研究.检验医学与临床,2022,19(12):1644-1647,1652.
[7]方驰华,张鹏,刘允怡,等.肝胆胰疾病数字智能化诊疗核心技术、体系构建及其应用.中华外科杂志,2019,57(4):253-257.
[8]Iino I, Kikuchi H, Suzuki T, et al. Comprehensive evaluation of threedimensional anatomy of perigastric vessels using enhanced multidetectorrow computed tomography. BMC Surg,2022,22(1):403.
[9]董金付,陈剑锋,孙春荣,等.基于三维重建的腹腔镜下胃癌根治术临床效果.中华普外科手术学杂志(电子版),2021,15(2):154-156.
[10]吴东波,张学军,马隆佰,等.腹腔血管和胰腺三维图像在胃癌术前规划和术中指导的初步探讨.中国临床新医学,2017,10(5):444-446.
[11]Liu H, Wang F, Liu B, et al. Application of threedimensional reconstruction with a Hisense computerassisted system in upper pancreatic lymph node dissection during laparoscopicassisted radical gastrectomy. Asian J Surg,2021,44(5):730-737.
[12]吴宸,彭方兴,罗亮,等.3D打印技术在复杂胃肠道肿瘤手术中的应用研究.中国医学装备,2020,17(3):89-92.
[13]Kim M, Son SY, Cui LH. et al. Realtime vessel navigation using indocyanine green fluorescence during robotic or laparoscopic gastrectomy for gastric cancer. J Gastric Cancer,2017,17(2):145-153.
[14]Saito T, Yano M, Motoori M, et al. Subtotal gastrectomy for gastric tube cancer after esophagectomy: a safe procedure preserving the proximal part of gastric tube based on intraoperative ICG blood flow evaluation. J Surg Oncol,2012,106(1):107-110.
[15]Huh YJ, Lee HJ, Kim TH, et al. Efficacy of assessing intraoperative bowel perfusion with nearinfrared camera in laparoscopic gastric cancer surgery. J Laparoendosc Adv Surg Tech A,2019,29(4):476-483.
[16]Hayakawa S, Ogawa R, Ueno S, et al. Impact of the indocyanine green fluorescence method for anastomotic blood flow in robotic distal gastrectomy. Surg Today,2022,52(10):1405-1413.
[17]Mori M, Shuto K, Hirano A, et al. A novel parameter identified using indocyanine green fluorescence angiography may contribute to predicting anastomotic leakage in gastric cancer surgery. World J Surg,2020,44(8):2699-2708.
[18]中国抗癌协会胃癌专业委员会.局部进展期胃癌规范化淋巴结清扫范围中国专家共识(2022版).中华胃肠外科杂志,2022,25(4):277-283.
[19]刘婧娟,刘炜,薛华丹,等.基于增强CT的影像组学定量特征模型在预测胃癌分期中的价值.放射学实践,2022,37(9):1061-1067.
[20]Dong D, Tang L, Li ZY, et al. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer. Ann Oncol,2019,30(3):431-438.
[21]Hiratsuka M, Miyashiro I, Ishikawa O, et al. Application of sentinel node biopsy to gastric cancer surgery. Surgery,2001,129(3):335-340.
[22]Shoji Y, Kumagai K, Kamiya S, et al. Prospective feasibility study for singletracer sentinel node mapping by ICG (indocyanine green) fluorescence and OSNA (onestep nucleic acid amplification) assay in laparoscopic gastric cancer surgery. Gastric Cancer,2019,22(4):873-880.
[23]Kwon IG, Son T, Kim HI, et al. Fluorescent lymphographyguided lymphadenectomy during robotic radical gastrectomy for gastric cancer. JAMA Surg,2019,154(2):150-158.
[24]Chen QY, Xie JW, Zhong Q, et al. Safety and efficacy of indocyanine green tracerguided lymph node dissection during laparoscopic radical gastrectomy in patients with gastric cancer: A randomized clinical trial. JAMA Surg,2020,155(4):300-311.
[25]Deng C, Zhang Z, Qi H, et al. Safety and efficacy of indocyanine green nearinfrared fluorescent imagingguided lymph nodes dissection during radical gastrectomy for gastric cancer: A systematic review and metaanalysis. Front Oncol,2022,12:917541.
[26]Lim AK, Ryu J, Yoon HM, et al. Ergonomic effects of medical augmented reality glasses in videoassisted surgery. Surg Endosc,2002,36:988-998.
[27]Sato Y, Sese J, Matsuyama T, et al. Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligence. Surg Today,2022,52(12):1753-1758.
[28]Fer D, Zhang B, Abukhalil R, et al. An artificial intelligence model that automatically labels RouxenY gastric bypasses, a comparison to trained surgeon annotators. Surg Endosc,2023,37(7):5665-5672.
[29]de la Fuente López E, Muoz García , Santos Del Blanco L, et al. Automatic gauze tracking in laparoscopic surgery using image texture analysis. Comput Methods Programs Biomed,2020,190:105378.
[30]Lai SL, Chen CS, Lin BR, et al. Intraoperative detection of surgical gauze using deep convolutional neural network. Ann Biomed Eng,2023,51(2):352-362.
[31]Carstens M, Rinner FM, Bodenstedt S, et al. The Dresden surgical anatomy dataset for abdominal organ segmentation in surgical data science. Sci Data,2023,10(1):3.
[32]Bamba Y, Ogawa S, Itabashi M, et al. Object and anatomical feature recognition in surgical video images based on a convolutional neural network. Int J Comput Assist Radiol Surg,2021,16(11):2045-2054.
[33]Kitaguchi D, Takeshita N, Matsuzaki H, et al. Development and validation of a 3dimensional convolutional neural network for automatic surgical skill assessment based on spatiotemporal video analysis. JAMA Netw Open,2021,4(8):e2120786.
[34]Soriero D, Batistotti P, Malinaric R, et al. Efficacy of highresolution preoperative 3D reconstructions for lesion localization in oncological colorectal surgeryfirst pilot study. Healthcare (Basel),2022,10(5):900.
[35]殷进丽,石娜,董昕昕,等.腹腔镜结肠癌根治术前行腹部CTA和结肠三维成像对手术的指导价值.武警医学,2020,31(5):409-413.
[36]王庆国,秦俭,李念云,等.腹腔镜下右半结肠癌根治术术前CTA评价Henle干变异的价值.放射学实践,2021,36(8):1038-1041.
[37]杨强帮,戎祯祥,张浩,等.腹腔镜右半结肠癌D3根治术的术前MSCT三维重建观测指标的探讨.广东医学,2016,37(18):2757-2759.
[38]Hojo D, Kawai K, Murono K, et al. Establishment of deformable threedimensional printed models for laparoscopic right hemicolectomy in transverse colon cancer. ANZ J Surg,2021,91(7-8):E493-E499.
[39]Yuan Z, Xu T, Cai J, et al. Development and validation of an imagebased deep learning algorithm for detection of synchronous peritoneal carcinomatosis in colorectal cancer. Ann Surg,2022,275(4):e645-e651.
[40]Zhao J, Wang H, Zhang Y, et al. Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer. Radiother Oncol,2022,167:195-202.
[41]Bedrikovetski S, DudiVenkata NN, Kroon HM, et al. Artificial intelligence for preoperative lymph node staging in colorectal cancer: a systematic review and metaanalysis. BMC Cancer,2021,21(1):1058.
[42]陈建新,袁燕文,彭伟谦,等.三维重建技术在腹腔镜右半结肠癌D3根治术中的应用.南方医科大学学报,2022,42(5):760-765.
[43]Kim HJ, Choi GS, Park JS, et al. S122: impact of fluorescence and 3D images to completeness of lateral pelvic node dissection. Surg Endosc,2020,34:469-476.
[44]Hojo D, Murono K, Nozawa H, et al. Utility of a threedimensional printed pelvic model for lateral pelvic lymph node dissection. Int J Colorectal Dis,2020,35(5):905-910.
[45]Igaki T, Kitaguchi D, Kojima S, et al. Artificial intelligencebased total mesorectal excision plane navigation in laparoscopic colorectal surgery. Dis Colon Rectum,2022,65(5):e329-e333.
[46]Jin H, Zheng L, Lu L, et al. Nearinfrared intraoperative imaging of pelvic autonomic nerves: a pilot study. Surg Endosc,2022,36(4):2349-2356.
[47]颜惠华,楼征,生晶,等.CT三维重建骨盆测量预测全直肠系膜切除术的困难程度.中华胃肠外科杂志,2011,14(11):846-850.
[48]Zhou SC, Tian YT, Wang XW, et al. Application of indocyanine greenenhanced nearinfrared fluorescenceguided imaging in laparoscopic lateral pelvic lymph node dissection for middlelow rectal cancer. World J Gastroenterol,2019,25(31):4502-4511.
[49]Yotsov T, Karamanliev M, Maslyankov S, et al. Mesenteric vascular evaluation with preoperative multidetector computed tomographic angiography and intraoperative indocyanine green angiography to reduce anastomotic leaks after minimally invasive surgery for colorectal cancer. JSLS,2022,26(3):e2022.00022.
[50]Watanabe J, Ishibe A, Suwa Y, et al. Indocyanine green fluorescence imaging to reduce the risk of anastomotic leakage in laparoscopic low anterior resection for rectal cancer: a propensity scorematched cohort study. Surg Endosc,2020,34(1):202-208.
[51]Song M, Liu J, Xia D, et al. Assessment of intraoperative use of indocyanine green fluorescence imaging on the incidence of anastomotic leakage after rectal cancer surgery: a PRISMAcompliant systematic review and metaanalysis. Tech Coloproctol,2021,25(1):49-58.
[52]Pang HY, Chen XL, Song XH, et al. Indocyanine green fluorescence angiography prevents anastomotic leakage in rectal cancer surgery: a systematic review and metaanalysis. Langenbecks Arch Surg,2021,406(2):261-271.
[53]Liu D, Liang L, Liu L, et al. Does intraoperative indocyanine green fluorescence angiography decrease the incidence of anastomotic leakage in colorectal surgery? A systematic review and metaanalysis. Int J Colorectal Dis,2021,36(1):57-66.
[54]Alekseev M, Rybakov E, Shelygin Y, et al. A study investigating the perfusion of colorectal anastomoses using fluorescence angiography: results of the FLAG randomized trial. Colorectal Dis,2020,22(9):1147-1153.
[55]Jafari MD, Pigazzi A, McLemore EC, et al. Perfusion assessment in leftsided/low anterior resection (PILLAR Ⅲ): A randomized, controlled, parallel, multicenter study assessing perfusion outcomes with PINPOINT nearinfrared fluorescence imaging in low anterior resection. Dis Colon Rectum,2021,64(8):995-1002.
[56]De Nardi P, Elmore U, Maggi G, et al. Intraoperative angiography with indocyanine green to assess anastomosis perfusion in patients undergoing laparoscopic colorectal resection: results of a multicenter randomized controlled trial. Surg Endosc,2020,34(1):53-60.
[57]White LA, Joseph JP, Yang DY, et al. Intraureteral indocyanine green augments ureteral identification and avoidance during complex roboticassisted colorectal surgery. Colorectal Dis,2021,23(3):718-723.
[58]吴德庆,杨悦生,张维富.等.静脉滴注亚甲蓝溶液在腹腔镜下结直肠外科术中输尿管显影中的应用.中华胃肠外科杂志,2022,25(12):1098-1103.
[59]李博,胡刚,邱文龙.等.原始荧光模式下吲哚菁绿荧光血管造影技术辅助直肠癌根治术中保留左结肠动脉可行性研究.中国实用外科杂志,2023,43(5):578-582.
[60]Zhong G, Yang B, Zhong J, et al. Magnetic resonance neuroimaging promotes the preservation of pelvic autonomic nerves in laparoscopic total mesorectal excision: a comparative study. Ann Transl Med,2021,9(24):1756.
[61]Boogerd LSF, Hoogstins CES, Schaap DP. et al. Safety and effectiveness of SGM101, a fluorescent antibody targeting carcinoembryonic antigen, for intraoperative detection of colorectal cancer: a doseescalation pilot study. Lancet Gastroenterol Hepatol,2018,3(3):181-191.
[62]He L, Zhang Y, Chen J, et al. A multifunctional targeted nanoprobe with high NIRII PAI/MRI performance for precise theranostics of orthotopic earlystage hepatocellular carcinoma. J Mater Chem B,2021,9(42):8779-8792.
[63]方国旭,郭鹏飞,范鉴慧.等.基于可解释人工智能的临床决策支持系统:孟超肝病外脑.中华消化外科杂志,2023,22(1):70-80.