中文English
ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 35 Issue 5
May  2019
Turn off MathJax
Article Contents

Application of the digital intelligent diagnosis and treatment technique for pancreatic cancer

DOI: 10.3969/j.issn.1001-5256.2019.05.002
Research funding:

 

  • Received Date: 2019-03-28
  • Published Date: 2019-05-20
  • With the advent of the era of digital intelligent diagnosis and treatment, the clinical application of new techniques plays an important role in improving the diagnosis and treatment of pancreatic cancer. The rapid development of digital intelligent diagnosis and treatment techniques, such as three-dimensional visual simulation, three-dimensional printing, virtual reality, augmented-reality surgical navigation, and radiomics, shows the new directions of the diagnosis and treatment of pancreatic diseases and leads digital pancreatic surgery into the era of digital intelligence. With reference to related articles in China and foreign countries and the authors' experience in the digital intelligent diagnosis and treatment of pancreatic cancer, this article elaborates on the current application of related techniques in the diagnosis and treatment of pancreatic cancer and introduces the application of these techniques in preoperative resectability assessment, individualized surgical planning, and visual-guidance surgery for pancreatic cancer, as well as the perspectives of the digital intelligent diagnosis and treatment techniques in improving clinical diagnostic rate of pancreatic cancer, selecting a reasonable treatment regimen, and improving the effect of surgical treatment.

     

  • loading
  • [1] CONROY T, BACHET JB, AYAV A, et al. Current standards and new innovative approaches for treatment of pancreatic cancer[J]. Eur J Cancer, 2016, 57:10-22.
    [2] BRAY F, FERLAY J, SOERJOMATARAM I, et al. Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018, 68 (6) :394-424.
    [3] SIEGEL RL, MILLER KD, JEMAL A. Cancer Statistics, 2017[J]. CA Cancer J Clin, 2017, 67 (1) :7-30.
    [4] FANG C, ZHANG P, QI X. Digital and intelligent liver surgery in the new era:Prospects and dilemmas[J]. EbioMedicine, 2019.[Epub ahead of print]
    [5] Study Group of Pancreatic Surgery in Chinese Society of Surgery of Chinese Medical Association, Pancreatic Committee of Chinese Research Hospital Association, Digital Medicine Branch of Chinese Medical Association, Digital Medicine Committee of Chinese Research Hospital Association. Expert consensus of precise diagnosis and treatment for pancreatic head cancer using three-dimensional visualization technology[J].Chin J Surg, 2017, 55 (12) :881-886. (in Chinese) 中华医学会外科学分会胰腺外科学组, 中国研究型医院学会胰腺疾病专业委员会, 中华医学会数字医学分会, 等.胰头癌三维可视化精准诊治专家共识[J].中华外科杂志, 2017, 55 (12) :881-886.
    [6] KLEEFF J, KORC M, APTE M, et al. Pancreatic cancer[J].Nat Rev Dis Primers, 2016, 2 (16022) :16022.
    [7] LU DS, REBER HA, KRASNY RM, et al. Local staging of pancreatic cancer:Criteria for unresectability of major vessels as revealed by pancreatic-phase, thin-section helical CT[J].AJR Am J Roentgenol, 1997, 168 (6) :1439-1443.
    [8] FANG C, ZHU W, WANG H, et al. A new approach for evaluating the resectability of pancreatic and periampullary neoplasms[J]. Pancreatology, 2012, 12 (4) :364-371.
    [9] FANG CH, KONG D, WANG X, et al. Three-dimensional reconstruction of the peripancreatic vascular system based on computed tomographic angiography images and its clinical application in the surgical management of pancreatic tumors[J]. Pancreas, 2014, 43 (3) :389-395.
    [10] WANG SZ, WANG XB, LI M, et al. Application of three-dimensional visualization in pancreatic tumor:A pilot study[J].Chin J Surg, 2017, 55 (10) :760-764. (in Chinese) 王思珍, 王新波, 李民, 等.三维可视化技术在胰腺肿瘤术前评估中应用的初步研究[J].中华外科杂志, 2017, 55 (10) :760-764.
    [11] GOCKEL I, DOMEYER M, WOLLOSCHECK T, et al. Resection of the mesopancreas (RMP) :A new surgical classification of a known anatomical space[J]. World J Surg Oncol, 2007, 5:44.
    [12] GAEDCKE J, GUNAWAN B, GRADE M, et al. The mesopancreas is the primary site for R1 resection in pancreatic head cancer:Relevance for clinical trials[J]. Langenbecks Arch Surg, 2010, 395 (4) :451-458.
    [13] LIANG HB, WU WG, LI ML, et al. Application of three-dimensional visualization technique in total mesopancreas excision (TMp E) for pancreatic head carcinoma[J]. Chin J Pract Surg, 2019, 39 (1) :92-95. (in Chinese) 梁海滨, 吴文广, 李茂岚, 等.三维可视化技术在胰头癌胰腺全系膜切除术中应用研究[J].中国实用外科杂志, 2019, 39 (1) :92-95.
    [14] MIYAMOTO R, OSHIRO Y, NAKAYAMA K, et al. Three-dimensional simulation of pancreatic surgery showing the size and location of the main pancreatic duct[J]. Surg Today, 2017, 47 (3) :357-364.
    [15] FANG CH, ZHAO D, ZENG SL. Three-dimensional visualization preoperative planning and diagnosis of huge hepatic tumors on the axis of the blood vessels[J]. J Abdominal Surg, 2018, 31 (5) :299-301. (in Chinese) 方驰华, 赵东, 曾思略.以血管为轴心的巨块型肝脏肿瘤三维可视化术前规划和诊疗[J].腹部外科, 2018, 31 (5) :299-301.
    [16] FANG CH, ZHANG P, CHEN K. The application of digital medical intelligent diagnosis and treatment technology for biliary malignant tumors[J]. Chin J Dig Surg, 2019, 17 (2) :111-116. (in Chinese) 方驰华, 张鹏, 陈康.数字智能化诊断与治疗技术在胆道恶性肿瘤中的应用[J].中华消化外科杂志, 2019, 17 (2) :111-116.
    [17] FANG CH, CAI W, ZHONG SZ. Three dimensional visualization technology in pancreatic surgery[J]. Chin J Dig Surg, 2014, 13 (10) :826-830. (in Chinese) 方驰华, 蔡伟, 钟世镇.胰腺3D外科[J].中华消化外科杂志, 2014, 13 (10) :826-830.
    [18] ZHU CF, PAN CJ, CHENG LH, et al. Application and progress of three dimensional imaging and printing for the clinical management of pancreatic malignancy[J]. Chin J Hepatobiliary Surg, 2018, 24 (8) :574-576. (in Chinese) 朱春富, 潘昌杰, 程立华, 等.三维成像及三维打印技术在胰腺恶性肿瘤临床诊疗中的应用进展[J].中华肝胆外科杂志, 2018, 24 (8) :574-576.
    [19] FANG CH, ZHU W. Value of digital medical technology on abdominal vascular reconstruction and pancreatic neoplasm resectability assessment[J]. Chin J Pract Surg, 2013, 33 (1) :51-54. (in Chinese) 方驰华, 祝文.数字医学技术对腹腔血管三维重建和胰腺肿瘤可切除性评估价值[J].中国实用外科杂志, 2013, 33 (1) :51-54.
    [20] SAMPOGNA G, PUGLIESE R, ELLI M, et al. Routine clinical application of virtual reality in abdominal surgery[J]. Minim Invasive Ther Allied Technol, 2017, 26 (3) :135-143.
    [21] DRAELOS M, KELLER B, VIEHLAND C, et al. Real-time visualization and interaction with static and live optical coherence tomography volumes in immersive virtual reality[J]. Biomedical Optics Express, 2018, 9 (6) :2825.
    [22] KOWALEWSKI KF, GARROW CR, PROCTOR T, et al. LapTrain:Multi-modality training curriculum for laparoscopic cholecystectomy-results of a randomized controlled trial[J].Surg Endosc, 2018, 32 (9) :3830-3838.
    [23] LI L, YU F, SHI D, et al. Application of virtual reality technology in clinical medicine[J]. Am J Transl Res, 2017, 9 (9) :3867-3880.
    [24] WANG ZX, LI LR, WANG FY, et al. Application of virtual and augmented reality technology in liver surgery[J]. J Pract Med, 2018, 34 (7) :1210-1212. (in Chinese) 王壮雄, 李林容, 王芳元, 等.虚拟和增强现实技术在肝脏外科中的应用[J].实用医学杂志, 2018, 34 (7) :1210-1212.
    [25] WANG XY, ZHU XD. Intraoperative image-guided laparoscopic and robotic hepatectomies[J]. Chin J Hepatobiliary Surg, 2017, 23 (11) :741-744. (in Chinese) 王晓颖, 朱小东.术中影像引导在腹腔镜和机器人肝切除术中的应用[J].中华肝胆外科杂志, 2017, 23 (11) :741-744.
    [26] MAHMOUD N, COLLINS T, HOSTETTLER A, et al. Live tracking and dense reconstruction for handheld monocular endoscopy[J]. IEEE Trans Med Imaging, 2019, 38 (1) :79-89.
    [27] ONDA S, OKAMOTO T, KANEHIRA M, et al. Identification of inferior pancreaticoduodenal artery during pancreaticoduodenectomy using augmented reality-based navigation system[J]. J Hepatobiliary Pancreat Sci, 2014, 21 (4) :281-287.
    [28] OKAMOTO T, ONDA S, YASUDA J, et al. Navigation surgery using an augmented reality for pancreatectomy[J]. Dig Surg, 2015, 32 (2) :117-123.
    [29] CHEN RF, ZHOU QB. Current status and technical points of laparoscopic radical pancreatoduodenectomy for pancreatic head cancer[J]. Chin J Pancreatol, 2018, 18 (2) :73-75. (in Chinese) 陈汝福, 周泉波.腹腔镜胰头癌根治性胰十二指肠切除术开展现状及技术要点[J].中华胰腺病杂志, 2018, 18 (2) :73-75.
    [30] JI G, ZHANG Y, ZHANG H, et al. Biliary tract cancer at CT:A radiomics-based model to predict lymph node metastasis and survival outcomes[J]. Radiology, 2019, 290 (1) :90-98.
    [31] LAGHI A, VOENA C. CT-based radiomics for biliary tract cancer:A possible solution for predicting lymph node metastases[J]. Radiology, 2019, 290 (1) :99-100.
    [32] CAI W, HE B, HU M, et al. A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma[J]. Surg Oncol, 2019, 28:78-85.
    [33] ZHOU Y, HE L, HUANG Y, et al. CT-based radiomics signature:A potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma[J]. Abdom Radiol, 2017, 42 (6) :1695-1704.
    [34] ZHANG W, CAI W, HE B, et al. A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy[J]. Cancer Manag Res, 2018, 10:6469-6478.
    [35] BIHORAC A, OZRAZGAT-BASLANTI T, EBADI A, et al. My surgery risk:Development and validation of a machine-learning risk algorithm for major complications and death after surgery[J]. Ann Surg, 2019, 269 (4) :652-662.
    [36] LIANG W, YANG P, HUANG R, et al. A combined nomogram model to preoperatively predict histologic grade in pancreatic neuroendocrine tumors[J]. Clin Cancer Res, 2019, 25 (2) :584-594.
    [37] CHAKRABORTY J, MIDYA A, GAZIT L, et al. CT radiomics to predict high-risk intraductal papillary mucinous neoplasms of the pancreas[J]. Med Phys, 2018, 45 (11) :5019-5029.
    [38] LAMBIN P, LEIJENAAR RTH, DEIST TM, et al. Radiomics:The bridge between medical imaging and personalized medicine[J]. Nat Rev Clini Oncol, 2017, 14 (12) :749-762.
    [39] XIAO Y, LIU SY. The state-of-the-art medical imaging artificial intelligence:Challenges and strategies[J]. Chin J Radiol, 2019, 53 (1) :2-5. (in Chinese) 萧毅, 刘士远.医学影像人工智能进入深水区后的思考[J].中华放射学杂志, 2019, 53 (1) :2-5.
    [40] FANG CH, ZHANG P, LIU YY, et al. Construction and application of digital intelligent diagnosis and treatment core technology, system for hepatobiliary and pancreatic diseases[J].Chin J Surg, 2019, 57 (4) :253-257. (in Chinese) 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[J].中华外科杂志, 2019, 57 (4) :253-257.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1577) PDF downloads(350) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return