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Volume 38 Issue 5
May  2022
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Article Navigation >  CHINESE JOURNAL OF BURNS AND WOUNDS  > 2022  >  38(5): 481-485
Liu YJ,Wu P,An G,et al.Research advances on the techniques for diagnosing burn wound depth[J].Chin J Burns Wounds,2022,38(5):481-485.DOI: 10.3760/cma.j.cn501120-20210518-00195.
Citation: Liu YJ,Wu P,An G,et al.Research advances on the techniques for diagnosing burn wound depth[J].Chin J Burns Wounds,2022,38(5):481-485.DOI: 10.3760/cma.j.cn501120-20210518-00195.
shu

Research advances on the techniques for diagnosing burn wound depth

doi: 10.3760/cma.j.cn501120-20210518-00195
  • 1.

    The First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China

  • 2.

    Department of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China

Funds:

Key Research and Development Program of Shandong Province of China 2019GSF108128

Major Basic Research Project of Shandong Provincial Natural Science Foundation of China ZR2019ZD38

More Information
  • Corresponding author: Wang Yibing, Email: wyb0616@163.com
  • Received Date: 2021-05-18
    Abstract
  • The accurate diagnosis of burn wound depth is particularly important for evaluating the disease prognosis of burn patients. In the past, the diagnosis of burn wound depth often relied on the subjective judgment of doctors. With the continuous development of diagnostic technology, the methods for judging the depth of burn wound have also been updated. This paper mainly summarizes the research progress in the applications of indocyanine green angiography, laser Doppler imaging, laser speckle contrast imaging, and artificial intelligence in the diagnosis of burn wound depth, and compares the advantages and disadvantages of these techniques, so as to provide ideas for accurate diagnosis of burn wound depth.

     

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    • References(36)
  • [1]
    XueEY,ChandlerLK,VivianoSL,et al.Use of FLIR ONE smartphone thermography in burn wound assessment[J].Ann Plast Surg,2018,80(4 Suppl 4):S236-238.DOI: 10.1097/SAP.0000000000001363.
    [2]
    PromnyD,BillnerM,ReichertB.Objektive tiefenbestimmung von verbrennungen der hand[J].Handchir Mikrochir Plast Chir,2019,51(5):362-366.DOI: 10.1055/a-0991-7869.
    [3]
    GreenHA,BuaD,AndersonRR,et al.Burn depth estimation using indocyanine green fluorescence[J].Arch Dermatol,1992,128(1):43-49.
    [4]
    SheridanRL,SchomakerKT,LucchinaLC,et al.Burn depth estimation by use of indocyanine green fluorescence: initial human trial[J].J Burn Care Rehabil,1995,16(6):602-604.DOI: 10.1097/00004630-199511000-00007.
    [5]
    WongkietkachornA,SurakunpraphaP,WinaikosolK,et al.Indocyanine green dye angiography as an adjunct to assess indeterminate burn wounds: a prospective, multicentered, triple-blinded study[J].J Trauma Acute Care Surg,2019,86(5):823-828.DOI: 10.1097/TA.0000000000002179.
    [6]
    MajlesaraA,GolrizM,HafeziM,et al.Indocyanine green fluorescence imaging in hepatobiliary surgery[J].Photodiagnosis Photodyn Ther,2017,17:208-215.DOI: 10.1016/j.pdpdt.2016.12.005.
    [7]
    HuQ,WangK,QiuL.6-Aminocaproic acid as a linker to improve near-infrared fluorescence imaging and photothermal cancer therapy of PEGylated indocyanine green[J].Colloids Surf B Biointerfaces,2021,197:111372.DOI: 10.1016/j.colsurfb.2020.111372.
    [8]
    谢小明吲哚菁绿荧光血管造影在颅内动脉瘤手术中的应用长沙中南大学2014

    谢小明.吲哚菁绿荧光血管造影在颅内动脉瘤手术中的应用[D].长沙:中南大学,2014.
    [9]
    纪晓峰.烧伤创面深度的诊断技术和方法[J].继续医学教育,2007,21(13):15-20.DOI: 10.3969/j.issn.1004-6763.2007.13.003.
    [10]
    HoeksemaH,Van de SijpeK,TonduT,et al.Accuracy of early burn depth assessment by laser Doppler imaging on different days post burn[J].Burns,2009,35(1):36-45.DOI: 10.1016/j.burns.2008.08.011.
    [11]
    JanSN,KhanFA,BashirMM,et al.Comparison of Laser Doppler Imaging (LDI) and clinical assessment in differentiating between superficial and deep partial thickness burn wounds[J].Burns,2018,44(2):405-413.DOI: 10.1016/j.burns.2017.08.020.
    [12]
    AsifM,ChinAGM,LagzielT,et al.The added benefit of combining Laser Doppler Imaging with clinical evaluation in determining the need for excision of indeterminate-depth burn wounds[J].Cureus,2020,12(6):e8774.DOI: 10.7759/cureus.8774.
    [13]
    ClaesK,HoeksemaH,VynckeT,et al.Evidence based burn depth assessment using laser-based technologies: where do we stand?[J].J Burn Care Res,2021,42(3):513-525.DOI: 10.1093/jbcr/iraa195.
    [14]
    HoeksemaH,BakerRD,HollandAJ,et al.A new, fast LDI for assessment of burns: a multi-centre clinical evaluation[J].Burns,2014,40(7):1274-1282.DOI: 10.1016/j.burns.2014.04.024.
    [15]
    KaiserM,YafiA,CinatM,et al.Noninvasive assessment of burn wound severity using optical technology: a review of current and future modalities[J].Burns,2011,37(3):377-386.DOI: 10.1016/j.burns.2010.11.012.
    [16]
    CharuvilaS,SinghM,CollinsD,et al.A comparative evaluation of spectrophotometric intracutaneous analysis and laser Doppler imaging in the assessment of adult and paediatric burn injuries[J].J Plast Reconstr Aesthet Surg,2018,71(7):1015-1022.DOI: 10.1016/j.bjps.2018.03.014.
    [17]
    ClaesKEY,HoeksemaH,RobbensC,et al.The LDI enigma, part I: so much proof, so little use[J].Burns,2021,47(8):1783-1792.DOI: 10.1016/j.burns.2021.01.014.
    [18]
    PonticorvoA,BurmeisterDM,RowlandR,et al.Quantitative long-term measurements of burns in a rat model using Spatial Frequency Domain Imaging (SFDI) and Laser Speckle Imaging (LSI)[J].Lasers Surg Med,2017,49(3):293-304.DOI: 10.1002/lsm.22647.
    [19]
    HongJ,WangY,ChenX,et al.Fluctuations of temporal contrast in laser speckle imaging of blood flow[J].Opt Lett,2018,43(21):5214-5217.DOI: 10.1364/OL.43.005214.
    [20]
    CrouzetC,NguyenJQ,PonticorvoA,et al.Acute discrimination between superficial-partial and deep-partial thickness burns in a preclinical model with laser speckle imaging[J].Burns,2015,41(5):1058-1063.DOI: 10.1016/j.burns.2014.11.018.
    [21]
    ZhengKJ,MiddelkoopE,StoopM,et al.Validity of laser speckle contrast imaging for the prediction of burn wound healing potential[J].Burns,2022,48(2):319-327.DOI: 10.1016/j.burns.2021.04.028.
    [22]
    粘永健,陈志强,薛冬冬,等.烧伤深度诊断技术研究进展[J].中华烧伤杂志,2016,32(11):698-701.DOI: 10.3760/cma.j.issn.1009-2587.2016.11.014.
    [23]
    MirdellR,FarneboS,SjöbergF,et al.Accuracy of laser speckle contrast imaging in the assessment of pediatric scald wounds[J].Burns,2018,44(1):90-98.DOI: 10.1016/j.burns.2017.06.010.
    [24]
    MirdellR,FarneboS,SjöbergF,et al.Interobserver reliability of laser speckle contrast imaging in the assessment of burns[J].Burns,2019,45(6):1325-1335.DOI: 10.1016/j.burns.2019.01.011.
    [25]
    BriersD,DuncanDD,HirstE,et al.Laser speckle contrast imaging: theoretical and practical limitations[J].J Biomed Opt,2013,18(6):066018.DOI: 10.1117/1.JBO.18.6.066018.
    [26]
    LindahlF,TesselaarE,SjöbergF.Assessing paediatric scald injuries using Laser Speckle Contrast Imaging[J].Burns,2013,39(4):662-666.DOI: 10.1016/j.burns.2012.09.018.
    [27]
    KrezdornN,LimbourgA,PaprottkaFJ,et al.Assessing burn depth in tattooed burn lesions with LASCA imaging[J].Ann Burns Fire Disasters,2016,29(3):223-227.
    [28]
    ChenH,MiaoP,BoB,et al.A prototype system of portable laser speckle imager based on embedded graphics processing unit platform[J].Annu Int Conf IEEE Eng Med Biol Soc,2019,2019:3919-3922.DOI: 10.1109/EMBC.2019.8857273.
    [29]
    贲驰,李海航,刘彤,等.人工智能技术辅助烧伤深度诊断的研究进展[J].中华烧伤杂志,2020,36(3):244-246.DOI: 10.3760/cma.j.cn501120-20190403-00162.
    [30]
    WangG,LiW,ZuluagaMA,et al.Interactive medical image segmentation using deep learning with image-specific fine tuning[J].IEEE Trans Med Imaging,2018,37(7):1562-1573.DOI: 10.1109/TMI.2018.2791721.
    [31]
    圣文顺,孙艳文.卷积神经网络在图像识别中的应用[J].软件工程,2019,22(2):13-16.DOI: 10.19644/j.cnki.issn2096-1472.2019.02.004.
    [32]
    何志友,王元,张丕红,等.基于卷积神经网络的人工智能烧伤深度识别模型的建立及测试效果[J].中华烧伤杂志,2020,36(11):1070-1074.DOI: 10.3760/cma.j.cn501120-20190926-00385.
    [33]
    CirilloMD,MirdellR,SjöbergF,et al.Time-independent prediction of burn depth using deep convolutional neural networks[J].J Burn Care Res,2019,40(6):857-863.DOI: 10.1093/jbcr/irz103.
    [34]
    WangY,KeZ,HeZ,et al.Real-time burn depth assessment using artificial networks: a large-scale, multicentre study[J].Burns,2020,46(8):1829-1838.DOI: 10.1016/j.burns.2020.07.010.
    [35]
    PanSC,TsaiYH,ChuangCC,et al.Preliminary assessment of burn depth by paper-based ELISA for the detection of angiogenin in burn blister fluid-a proof of concept[J].Diagnostics (Basel),2020,10(3):127.DOI: 10.3390/diagnostics10030127.
    [36]
    OwdaAY,SalmonN,ShyloS,et al.Assessment of bandaged burn wounds using porcine skin and millimetric radiometry[J].Sensors (Basel),2019,19(13):2950.DOI: 10.3390/s19132950.
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