中文English
ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 39 Issue 5
May  2023
Turn off MathJax
Article Contents

Methods for evaluating liver reserve function before hepatectomy

DOI: 10.3969/j.issn.1001-5256.2023.05.034
Research funding:

The Central Government Guides Local Science and Technology Development Projects (2019A4005)

More Information
  • Corresponding author: DING Youming, dingym62@163.com (ORCID: 0000-0003-4395-4210)
  • Received Date: 2022-09-17
  • Accepted Date: 2022-10-24
  • Published Date: 2023-05-20
  • At present, hepatectomy has become the preferred treatment modality for most benign and malignant hepatobiliary diseases. Liver failure is a common complication after hepatectomy, and for malignant diseases, how to remove the lesion to the maximum extent and reduce the incidence rate of liver failure after hepatectomy is the key problem at present. Accurate and adequate preoperative evaluation of liver reserve function can provide a basis for judging the progression, therapeutic outcome, and prognosis of liver diseases. There are currently various methods for evaluating liver reserve function and surgical feasibility, each with its own advantages and disadvantages, and there is still a lack of a single comprehensive evaluation method. This article reviews the characteristics of commonly used evaluation methods and related research advances.

     

  • loading
  • [1]
    General Office of National Health Commission. Standard for diagnosis and treatment of primary liver cancer (2022 edition)[J]. J Clin Hepatol, 2022, 38(2): 288-303. DOI: 10.3969/j.issn.1001-5256.2022.02.009.

    国家卫生健康委办公厅. 原发性肝癌诊疗指南(2022年版)[J]. 临床肝胆病杂志, 2022, 38(2): 288-303. DOI: 10.3969/j.issn.1001-5256.2022.02.009.
    [2]
    HUANG L, LI J, YAN JJ, et al. Prealbumin is predictive for postoperative liver insufficiency in patients undergoing liver resection[J]. World J Gastroenterol, 2012, 18(47): 7021-7025. DOI: 10.3748/wjg.v18.i47.7021.
    [3]
    QIAO W, LENG F, LIU T, et al. Prognostic value of prealbumin in liver cancer: A systematic review and meta-analysis[J]. Nutr Cancer, 2020, 72(6): 909-916. DOI: 10.1080/01635581.2019.1661501.
    [4]
    FENG L, ZHANG XY, YANG YT, et al. The clinical value of hepatic fibrosis indicators tests in hepatic diseases[J]. Labeled Immunoassays and Clinical Medicine, 2019, 26(8): 1349-1353. DOI: 10.11748/bjmy.issn.1006-1703.2019.08.024.

    封莉, 张小英, 杨玉婷, 等. 肝纤四项联合其他肝功能指标检测对肝脏疾病的临床价值分析[J]. 标记免疫分析与临床, 2019, 26(8): 1349-1353. DOI: 10.11748/bjmy.issn.1006-1703.2019.08.024.
    [5]
    WANG X, ZHANG X, LI Z, et al. A hyaluronic acid-derived imaging probe for enhanced imaging and accurate staging of liver fibrosis[J]. Carbohydr Polym, 2022, 295: 119870. DOI: 10.1016/j.carbpol.2022.119870.
    [6]
    ISHⅡ M, ITANO O, SHINODA M, et al. Pre-hepatectomy type IV collagen 7S predicts post-hepatectomy liver failure and recovery[J]. World J Gastroenterol, 2020, 26(7): 725-739. DOI: 10.3748/wjg.v26.i7.725.
    [7]
    MIZUGUCHI T, KAWAMOTO M, MEGURO M, et al. Serum antithrombin Ⅲ level is well correlated with multiple indicators for assessment of liver function and diagnostic accuracy for predicting postoperative liver failure in hepatocellular carcinoma patients[J]. Hepatogastroenterology, 2012, 59(114): 551-557. DOI: 10.5754/hge10052.
    [8]
    MASUZAKI R, TATEISHI R, YOSHIDA H, et al. Comparison of liver biopsy and transient elastography based on clinical relevance[J]. Can J Gastroenterol, 2008, 22(9): 753-757. DOI: 10.1155/2008/306726.
    [9]
    LEE PC, CHIOU YY, CHIU NC, et al. Liver stiffness measured by acoustic radiation force impulse elastography predicted prognoses of hepatocellular carcinoma after radiofrequency ablation[J]. Sci Rep, 2020, 10(1): 2006. DOI: 10.1038/s41598-020-58988-3.
    [10]
    LIU L, LI F. Application of real-time tissue elastography in biopsy and interventional therapy of liver tumor[J]. J Clin Ultrasound Med, 2015, 17(3): 191-192. DOI: 10.16245/j.cnki.issn1008-6978.2015.03.021.

    刘利, 李芳. 实时组织弹性成像技术在肝脏肿瘤穿刺活检与介入治疗中的应用[J]. 临床超声医学杂志, 2015, 17(3): 191-192. DOI: 10.16245/j.cnki.issn1008-6978.2015.03.021.
    [11]
    STEFANESCU H, RADU C, PROCOPET B, et al. Non-invasive ménage à trois for the prediction of high-risk varices: stepwise algorithm using lok score, liver and spleen stiffness[J]. Liver Int, 2015, 35(2): 317-325. DOI: 10.1111/liv.12687.
    [12]
    XU FM, SHENG QS. Research advances in serum markers and transient elastography in the evaluation of liver fibrosis[J]. J Clin Hepatol, 2018, 34(3): 618-622. DOI: 10.3969/j.issn.1001-5256.2018.03.040.

    许峰铭, 盛庆寿. 血清标志物与瞬时弹性成像技术评估肝纤维化的研究进展[J]. 临床肝胆病杂志, 2018, 34(3): 618-622. DOI: 10.3969/j.issn.1001-5256.2018.03.040.
    [13]
    XU X, WANG XR, HE XH, et al. The assessment of hepatic fibrosis and pre-operative functional reserve in patients with space-occupying lesions using acoustic radiation force impulse imaging[J]. Radiol Pract, 2016, 31(9): 881-885. DOI: 10.13609/j.cnki.1000-0313.2016.09.020.

    徐霞, 王雪瑞, 贺秀红, 等. 应用ARFI技术评估肝脏纤维化和肝占位患者术前肝储备功能[J]. 放射学实践, 2016, 31(9): 881-885. DOI: 10.13609/j.cnki.1000-0313.2016.09.020.
    [14]
    LIU J, LI Y, YANG X, et al. Comparison of two-dimensional shear wave elastography with nine serum fibrosis indices to assess liver fibrosis in patients with chronic hepatitis B: a prospective cohort study[J]. Ultraschall Med, 2019, 40(2): 237-246. DOI: 10.1055/a-0796-6584.
    [15]
    ZHOU CH, CHEN T, LI R. Image features and diagnostic value of contrast-enhanced ultrasonography in hepatic space-occupying lesions[J]. J North Sichuan Med Coll, 2022, 37(7): 935-938. DOI: 10.3969/j.issn.1005-3697.2022.07.027.

    周长航, 陈涛, 李忍. 超声造影中肝脏占位性病变中的图像特征及诊断价值[J]. 川北医学院学报, 2022, 37(7): 935-938. DOI: 10.3969/j.issn.1005-3697.2022.07.027.
    [16]
    DUAN LH. Evaluation and analysis of hepatocellular carcinoma by acoustic quantitative analysis of ultrasonic tissue structure[J]. J Prac Med Imaging, 2021, 22(6): 631-633. DOI: 10.16106/j.cnki.cn14-1281/r.2021.06.032.

    段利华. 超声组织结构声学定量分析技术对肝癌的评估分析[J]. 实用医学影像杂志, 2021, 22(6): 631-633. DOI: 10.16106/j.cnki.cn14-1281/r.2021.06.032.
    [17]
    GAN CX, WANG X, PAN YZ. Application of three-dimensional reconstruction in conversion resection of advanced primary liver cancer[J/OL]. Chin J Hepat Surg(Electronic Edition), 2022, 11(5): 503-507. DOI: 10.3877/cma.j.issn.2095-3232.2022.05.015.

    干宸鑫, 王兴, 潘耀振. 三维重建在中晚期肝癌转化切除中的应用[J/CD]. 中华肝脏外科手术学电子杂志, 2022, 11(5): 503-507. DOI: 10.3877/cma.j.issn.2095-3232.2022.05.015.
    [18]
    WANG TY, ZHU YF, SUN M, et al. Application of three-dimensional reconstruction combined with indocyanine green intraoperative navigation in diagnosis and treatment of liver cancer[J]. J Jilin Univ(Med Edit), 2021, 47(4): 1014-1021. DOI: 10.13481/j.1671-587X.20210427.

    王天一, 朱玉峰, 孙淼, 等. 三维重建联合吲哚菁绿术中导航在肝癌诊断和治疗中的应用[J]. 吉林大学学报(医学版), 2021, 47(4): 1014-1021. DOI: 10.13481/j.1671-587X.20210427.
    [19]
    GUO ZB, TANG WC, LI XH, et al. Application of three-dimensional CT reconstruction in the evaluation of tumor volume of hepatocellular carcinoma before hepatectomy[J]. Chin Hepatol, 2021, 26(9): 1003-1006, 1010. DOI: 10.3969/j.issn.1008-1704.2021.09.016.

    郭智辈, 唐文才, 李小华, 等. CT三维重建在原发性肝癌肝脏切除术前肿瘤体积评估中的应用[J]. 肝脏, 2021, 26(9): 1003-1006, 1010. DOI: 10.3969/j.issn.1008-1704.2021.09.016.
    [20]
    LAMADÉ W, GLOMBITZA G, FISCHER L, et al. The impact of 3-dimensional reconstructions on operation planning in liver surgery[J]. Arch Surg, 2000, 135(11): 1256-1261. DOI: 10.1001/archsurg.135.11.1256.
    [21]
    LI LH, WANG JW, XU HL, et al. Study on the clinical application of preoperative evaluation of liver using three-dimensional reconstruction[J]. Henan J Surg, 2013, 19(5): 28-29. DOI: 10.3969/j.issn.1007-8991.2013.05.016.

    李连海, 王建伟, 许惠玲, 等. 三维重建在肝切除术前评估的临床应用研究[J]. 河南外科学杂志, 2013, 19(5): 28-29. DOI: 10.3969/j.issn.1007-8991.2013.05.016.
    [22]
    YOKOYAMA Y, NISHIO H, EBATA T, et al. Value of indocyanine green clearance of the future liver remnant in predicting outcome after resection for biliary cancer[J]. Br J Surg, 2010, 97(8): 1260-1268. DOI: 10.1002/bjs.7084.
    [23]
    TSUDA N, OKADA M, MURAKAMI T. New proposal for the staging of nonalcoholic steatohepatitis: evaluation of liver fibrosis on Gd-EOB-DTPA-enhanced MRI[J]. Eur J Radiol, 2010, 73(1): 137-142. DOI: 10.1016/j.ejrad.2008.09.036.
    [24]
    de GRAAF W, van LIENDEN KP, van den ESSCHERT JW, et al. Increase in future remnant liver function after preoperative portal vein embolization[J]. Br J Surg, 2011, 98(6): 825-834. DOI: 10.1002/bjs.7456.
    [25]
    YAMADA S, SHIMADA M, MORINE Y, et al. A new formula to calculate the resection limit in hepatectomy based on Gd-EOB-DTPA enhanced +magnetic resonance imaging[J]. PLoS One, 2019, 14(1): e0210579. DOI: 10.1371/journal.pone.0210579.
    [26]
    COSTA AF, TREMBLAY ST-GERMAIN A, ABDOLELL M, et al. Can contrast-enhanced MRI with gadoxetic acid predict liver failure and other complications after major hepatic resection?[J]. Clin Radiol, 2017, 72(7): 598-605. DOI: 10.1016/j.crad.2017.02.004.
    [27]
    BARTH BK, FISCHER MA, KAMBAKAMBA P, et al. Liver-fat and liver-function indices derived from Gd-EOB-DTPA-enhanced liver MRI for prediction of future liver remnant growth after portal vein occlusion[J]. Eur J Radiol, 2016, 85(4): 843-849. DOI: 10.1016/j.ejrad.2016.02.008.
    [28]
    SOURBRON SP, BUCKLEY DL. Classic models for dynamic contrast-enhanced MRI[J]. NMR Biomed, 2013, 26(8): 1004-1027. DOI: 10.1002/nbm.2940.
    [29]
    KEPPLER D. The roles of MRP2, MRP3, OATP1B1, and OATP1B3 in conjugated hyperbilirubinemia[J]. Drug Metab Dispos, 2014, 42(4): 561-565. DOI: 10.1124/dmd.113.055772.
    [30]
    WANG YY, ZHAO XH, MA L, et al. Comparison of the ability of Child-Pugh score, MELD score, and ICG-R15 to assess preoperative hepatic functional reserve in patients with hepatocellular carcinoma[J]. J Surg Oncol, 2018, 118(3): 440-445. DOI: 10.1002/jso.25184.
    [31]
    WEN X, YAO M, LU Y, et al. Integration of prealbumin into child-pugh classification improves prognosis predicting accuracy in HCC patients considering curative surgery[J]. J Clin Transl Hepatol, 2018, 6(4): 377-384. DOI: 10.14218/JCTH.2018.00004.
    [32]
    JOHNSON PJ, BERHANE S, KAGEBAYASHI C, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade[J]. J Clin Oncol, 2015, 33(6): 550-558. DOI: 10.1200/JCO.2014.57.9151.
    [33]
    TSILIMIGRAS DI, HYER JM, MORIS D, et al. Prognostic utility of albumin-bilirubin grade for short- and long-term outcomes following hepatic resection for intrahepatic cholangiocarcinoma: A multi-institutional analysis of 706 patients[J]. J Surg Oncol, 2019, 120(2): 206-213. DOI: 10.1002/jso.25486.
    [34]
    ZOU H, WEN Y, YUAN K, et al. Combining albumin-bilirubin score with future liver remnant predicts post-hepatectomy liver failure in HBV-associated HCC patients[J]. Liver Int, 2018, 38(3): 494-502. DOI: 10.1111/liv.13514.
    [35]
    MA XL, ZHOU JY, GAO XH, et al. Application of the albumin-bilirubin grade for predicting prognosis after curative resection of patients with early-stage hepatocellular carcinoma[J]. Clin Chim Acta, 2016, 462: 15-22. DOI: 10.1016/j.cca.2016.08.005.
    [36]
    SONG L, PIAO SM, YAO H, et al. Application progress of albumin-bilirubin score in liver diseases[J]. J Clin Intern Med, 2022, 39(7): 502-504. DOI: 10.3969/j.issn.1001-9057.2022.07.022.

    宋丽, 朴顺梅, 姚红, 等. 白蛋白-胆红素评分在肝脏疾病中的应用进展[J]. 临床内科杂志, 2022, 39(7): 502-504. DOI: 10.3969/j.issn.1001-9057.2022.07.022.
    [37]
    LI M, WANG J, SONG J, et al. Preoperative ICG test to predict posthepatectomy liver failure and postoperative outcomes in hilar cholangiocarcinoma[J]. Biomed Res Int, 2021, 2021: 8298737. DOI: 10.1155/2021/8298737.
    [38]
    VOS JJ, WIETASCH JK, ABSALOM AR, et al. Green light for liver function monitoring using indocyanine green? An overview of current clinical applications[J]. Anaesthesia, 2014, 69(12): 1364-1376. DOI: 10.1111/anae.12755.
    [39]
    LE ROY B, GRÉGOIRE E, COSSÉ C, et al. Indocyanine green retention rates at 15 min predicted hepatic decompensation in a Western population[J]. World J Surg, 2018, 42(8): 2570-2578. DOI: 10.1007/s00268-018-4464-6.
    [40]
    WANG YY, ZHAO XH, MA L, et al. Comparison of the ability of Child-Pugh score, MELD score, and ICG-R15 to assess preoperative hepatic functional reserve in patients with hepatocellular carcinoma[J]. J Surg Oncol, 2018, 118(3): 440-445. DOI: 10.1002/jso.25184.
    [41]
    IBIS C, ALBAYRAK D, SAHINER T, et al. Value of preoperative indocyanine green clearance test for predicting post-hepatectomy liver failure in noncirrhotic patients[J]. Med Sci Monit, 2017, 23: 4973-4980. DOI: 10.12659/msm.907306.
    [42]
    MARUYAMA M, YOSHIZAKO T, ARAKI H, et al. Future liver remnant indocyanine green plasma clearance rate as a predictor of post-hepatectomy liver failure after portal vein embolization[J]. Cardiovasc Intervent Radiol, 2018, 41(12): 1877-1884. DOI: 10.1007/s00270-018-2065-2.
    [43]
    VOS JJ, WIETASCH JK, ABSALOM AR, et al. Green light for liver function monitoring using indocyanine green? An overview of current clinical applications[J]. Anaesthesia, 2014, 69(12): 1364-1376. DOI: 10.1111/anae.12755.
    [44]
    MIYAZAKI Y, KOKUDO T, AMIKURA K, et al. Albumin-indocyanine green evaluation grading system predicts post-hepatectomy liver failure for biliary tract cancer[J]. Dig Surg, 2019, 36(1): 13-19. DOI: 10.1159/000486142.
    [45]
    NAKAMURA I, ⅡMURO Y, HAI S, et al. Impaired Value of 99m Tc-GSA Scintigraphy as an independent risk factor for posthepatectomy liver failure in patients with hepatocellular carcinoma[J]. Eur Surg Res, 2018, 59(1-2): 12-22. DOI: 10.1159/000484044.
    [46]
    CHIBA N, YOKOZUKA K, OCHIAI S, et al. The diagnostic value of 99m-Tc GSA scintigraphy for liver function and remnant liver volume in hepatic surgery: a retrospective observational cohort study in 27 patients[J]. Patient Saf Surg, 2018, 12: 15. DOI: 10.1186/s13037-018-0161-5.
    [47]
    TOKORODANI R, SUMIYOSHI T, OKABAYASHI T, et al. Liver fibrosis assessment using 99mTc-GSA SPECT/CT fusion imaging[J]. Jpn J Radiol, 2019, 37(4): 315-320. DOI: 10.1007/s11604-019-00810-w.
    [48]
    HUANG X, CHEN Y, SHAO M, et al. The value of 99mTc-labeled galactosyl human serum albumin single-photon emission computerized tomography/computed tomography on regional liver function assessment and posthepatectomy failure prediction in patients with hilar cholangiocarcinoma[J]. Nucl Med Commun, 2020, 41(11): 1128-1135. DOI: 10.1097/MNM.0000000000001263.
    [49]
    de GRAAF W, HÄUSLER S, HEGER M, et al. Transporters involved in the hepatic uptake of (99m)Tc-mebrofenin and indocyanine green[J]. J Hepatol, 2011, 54(4): 738-745. DOI: 10.1016/j.jhep.2010.07.047.
    [50]
    CIESLAK KP, BENNINK RJ, de GRAAF W, et al. Measurement of liver function using hepatobiliary scintigraphy improves risk assessment in patients undergoing major liver resection[J]. HPB (Oxford), 2016, 18(9): 773-780. DOI: 10.1016/j.hpb.2016.06.006.
    [51]
    GUPTA M, CHOUDHURY PS, SINGH S, et al. Liver functional volumetry by Tc-99m mebrofenin hepatobiliary scintigraphy before major liver resection: a game changer[J]. Indian J Nucl Med, 2018, 33(4): 277-283. DOI: 10.4103/ijnm.IJNM_72_18.
    [52]
    LAMBIN P, RIOS-VELAZQUEZ E, LEIJENAAR R, et al. Radiomics: extracting more information from medical images using advanced feature analysis[J]. Eur J Cancer, 2012, 48(4): 441-446. DOI: 10.1016/j.ejca.2011.11.036.
    [53]
    FENG ST, JIA YM, LIAO B, et al. Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI[J]. Eur Radiol, 2019, 29(9): 4648-4659. DOI: 10.1007/s00330-018-5935-8.
    [54]
    CHEN W, ZHANG T, XU L, et al. Radiomics analysis of contrast-enhanced CT for hepatocellular carcinoma grading[J]. Front Oncol, 2021, 11: 660509. DOI: 10.3389/fonc.2021.660509.
    [55]
    YANG L, GU D, WEI J, et al. A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma[J]. Liver Cancer, 2019, 8(5): 373-386. DOI: 10.1159/000494099.
    [56]
    FONTAINE P, RIET FG, CASTELLI J, et al. Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2020, 2020: 1667-1670. DOI: 10.1109/EMBC44109.2020.9176724.
    [57]
    FANG X, GUO PF, FAN JH, et al. Clinical decision support system based on explainable artificial intelligence brain of Mengchao liver disease[J]. Chin J Dig Surg, 2023, 22(1): 70-80. DOI: 10.3760/cma.j.cn115610-20221102-00679.

    方旭, 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[J]. 中华消化外科杂志, 2023, 22(1): 70-80. DOI: 10.3760/cma.j.cn115610-20221102-00679.
    [58]
    ESTEVA A, ROBICQUET A, RAMSUNDAR B, et al. A guide to deep learning in healthcare[J]. Nat Med, 2019, 25(1): 24-29. DOI: 10.1038/s41591-018-0316-z.
    [59]
    CHENG PM, MONTAGNON E, YAMASHITA R, et al. Deep learning: An update for radiologists[J]. Radiographics, 2021, 41(5): 1427-1445. DOI: 10.1148/rg.2021200210.
  • 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

    Tables(2)

    Article Metrics

    Article views (588) PDF downloads(142) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return