Volume 41 Issue 10
Oct.  2025
Turn off MathJax
Article Contents
Zhong SY,Shu MG,Du HC.Current status, representative devices, and future development trends of wound measurement technologies[J].Chin J Burns Wounds,2025,41(10):1004-1010.DOI: 10.3760/cma.j.cn501225-20241231-00516.
Citation: Zhong SY,Shu MG,Du HC.Current status, representative devices, and future development trends of wound measurement technologies[J].Chin J Burns Wounds,2025,41(10):1004-1010.DOI: 10.3760/cma.j.cn501225-20241231-00516.

Current status, representative devices, and future development trends of wound measurement technologies

doi: 10.3760/cma.j.cn501225-20241231-00516
Funds:

General Program of the Shaanxi Provincial Key Research and Development Plan in the Field of Social Development 2020SF-155

More Information
  • Corresponding author: Du Huicong, Email: dhc0309@126.com
  • Received Date: 2024-12-31
    Available Online: 2025-10-22
  • Wound measurement plays a critical role in wound repair and chronic disease management, its accuracy directly influences the development of personalized treatment plans and the evaluation of wound healing progress. Although traditional one-dimensional measurement methods (such as the ruler method and the probe method) are simple to use, they are unable to meet modern clinical demands due to insufficient accuracy and consistency. In recent years, two-dimensional imaging methods, three-dimensional imaging methods, and the corresponding intelligent measurement devices have become mainstream of wound measurement. By employing digital image processing, three-dimensional modeling, and artificial intelligence technologies, the measurement accuracy has been significantly improved, providing multidimensional data support for the assessment of complex wounds. This article systematically reviews the current development status of wound measurement technologies, representative devices, and their clinical applications. It also explores future directions for optimization, including the integration of artificial intelligence, multi-modal data fusion, and privacy protection. The aim is to provide practical guidance and technical references for clinicians and researchers.

     

  • loading
  • [1]
    VogelS, RichterJ, WacheS, et al. Evaluation of a clinical decision support system in the domain of chronic wound management[J]. Stud Health Technol Inform, 2021,281:535-539. DOI: 10.3233/SHTI210228.
    [2]
    KieserDC, HammondC. Leading wound care technology: the ARANZ medical silhouette[J]. Adv Skin Wound Care, 2011,24(2):68-70. DOI: 10.1097/01.ASW.0000394028.64777.f7.
    [3]
    DarwinES, JallerJA, HirtPA, et al. Comparison of 3-dimensional wound measurement with laser-assisted and hand measurements: a retrospective chart review[J]. Wound Manag Prev, 2019,65(1):36-41.
    [4]
    LiuH, SunW, CaiW, et al. Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics[J]. Theranostics, 2025, 15(5): 1662-1688. DOI: 10.7150/thno.105109.
    [5]
    LangemoDK, MellandH, HansonD, et al. Two-dimensional wound measurement: comparison of 4 techniques[J]. Adv Wound Care, 1998,11(7):337-343.
    [6]
    LangemoD, AndersonJ, HansonD, et al. Measuring wound length, width, and area: which technique?[J]. Adv Skin Wound Care, 2008,21(1):42-45; quiz 45-47. DOI: 10.1097/01.ASW.0000284967.69863.2f.
    [7]
    马燕飞, 宁宁, 陈佳丽, 等. 临床伤口测量方法研究新进展[J]. 四川医学, 2022, 43(10):1033-1036. DOI: 10.16252/j.cnki.issn1004-0501-2022.10.015.
    [8]
    JørgensenLB, SørensenJA, JemecGB, et al. Methods to assess area and volume of wounds - a systematic review[J]. Int Wound J, 2016,13(4):540-553. DOI: 10.1111/iwj.12472.
    [9]
    KhooR, JansenS. The evolving field of wound measurement techniques: a literature review[J]. Wounds, 2016,28(6):175-181.
    [10]
    ChangAC, DearmanB, GreenwoodJE. A comparison of wound area measurement techniques: visitrak versus photography[J]. Eplasty, 2011,11:e18.
    [11]
    ShamloulN, GhiasMH, KhachemouneA. The utility of smartphone applications and technology in wound healing[J]. Int J Low Extrem Wounds, 2019,18(3):228-235. DOI: 10.1177/1534734619853916.
    [12]
    StocktonKA, McMillanCM, StoreyKJ, et al. 3D photography is as accurate as digital planimetry tracing in determining burn wound area[J]. Burns, 2015,41(1):80-84. DOI: 10.1016/j.burns.2014.04.022.
    [13]
    SpinczykD, WidełM. Surface area estimation for application of wound care[J]. Injury, 2017,48(3):653-658. DOI: 10.1016/j.injury.2017.01.027.
    [14]
    KuangB, PenaG, SzpakZ, et al. Assessment of a smartphone-based application for diabetic foot ulcer measurement[J]. Wound Repair Regen, 2021,29(3):460-465. DOI: 10.1111/wrr.12905.
    [15]
    Gee KeeEL, KimbleRM, StocktonKA. 3D photography is a reliable burn wound area assessment tool compared to digital planimetry in very young children[J]. Burns, 2015,41(6):1286-1290. DOI: 10.1016/j.burns.2015.01.020.
    [16]
    RogersLC, BevilacquaNJ, ArmstrongDG, et al. Digital planimetry results in more accurate wound measurements: a comparison to standard ruler measurements[J]. J Diabetes Sci Technol, 2010,4(4):799-802. DOI: 10.1177/193229681000400405.
    [17]
    ShahA, WollakC, ShahJB. Wound measurement techniques: comparing the use of ruler method, 2D imaging and 3D scanner[J]. J Am Coll Clin Wound Spec, 2013,5(3):52-57. DOI: 10.1016/j.jccw.2015.02.001.
    [18]
    BowlingFL, PatersonJ, NdipA. Applying 21st century imaging technology to wound healing: an Avant-Gardist approach[J]. J Diabetes Sci Technol, 2013,7(5):1190-1194. DOI: 10.1177/193229681300700536.
    [19]
    TreuilletS, AlbouyB, LucasY. Three-dimensional assessment of skin wounds using a standard digital camera[J]. IEEE Trans Med Imaging, 2009,28(5):752-762. DOI: 10.1109/TMI.2008.2012025.
    [20]
    PlassmannP, JonesTD. MAVIS: a non-invasive instrument to measure area and volume of wounds. Measurement of Area and Volume Instrument System[J]. Med Eng Phys, 1998,20(5):332-338. DOI: 10.1016/s1350-4533(98)00034-4.
    [21]
    KrouskopTA, BakerR, WilsonMS. A noncontact wound measurement system[J]. J Rehabil Res Dev, 2002,39(3):337-345.
    [22]
    FoltynskiP, CiechanowskaA, LadyzynskiP. Wound surface area measurement methods[J]. Biocybern Biomed Eng, 2021, 41(4):1454-1465. DOI: 10.1016/j.bbe.2021.04.011.
    [23]
    McCardleJ, SmithM, BrewinE, et al. Visitrak: wound measurement as an aid to making treatment decisions[J]. Diabet Foot J, 2005, 8(4):207.
    [24]
    FoltynskiP. Ways to increase precision and accuracy of wound area measurement using smart devices: advanced app Planimator[J]. PLoS One, 2018,13(3):e0192485. DOI: 10.1371/journal.pone.0192485.
    [25]
    FoltynskiP, LadyzynskiP. Digital planimetry with a new adaptive calibration procedure results in accurate and precise wound area measurement at curved surfaces[J]. J Diabetes Sci Technol, 2022,16(1):128-136. DOI: 10.1177/1932296820959346.
    [26]
    DerwinR, PattonD, StrappH, et al. Integrating point-of-care bacterial fluorescence imaging-guided care with continued wound measurement for enhanced wound area reduction monitoring[J]. Diagnostics (Basel), 2023, 14(1):2. DOI: 10.3390/diagnostics14010002.
    [27]
    RedmondS, LewisCJ, RoweS, et al. The use of MolecuLight™ for early detection of colonisation in dermal templates[J]. Burns, 2019,45(8):1940-1942. DOI: 10.1016/j.burns.2019.10.011.
    [28]
    LeL, BaerM, BriggsP, et al. Diagnostic accuracy of point-of-care fluorescence imaging for the detection of bacterial burden in wounds: results from the 350-patient fluorescence imaging assessment and guidance trial[J]. Adv Wound Care (New Rochelle), 2021,10(3):123-136. DOI: 10.1089/wound.2020.1272.
    [29]
    曹子龙, 安恬, 王立芝, 等. eKare inSight 3D创面管理系统在创面评估中的应用[J].山东医药,2018,58(45):92-94. DOI: 10.3969/j.issn.1002-266X.2018.45.026.
    [30]
    BillsJD, BerrimanSJ, NobleDL, et al. Pilot study to evaluate a novel three-dimensional wound measurement device[J]. Int Wound J, 2016,13(6):1372-1377. DOI: 10.1111/iwj.12534.
    [31]
    How accurate and reliable is inSight?2021-04-072024-12-31https://ekareinchelp.zendesk.com/hc/en-us/articles/224912447-How-accurate-and-reliable-is-inSight

    How accurate and reliable is inSight? [EB/OL]. (2021-04-07)[2024-12-31]. https://ekareinchelp.zendesk.com/hc/en-us/articles/224912447-How-accurate-and-reliable-is-inSight.

    [32]
    AlonsoMC, MohammedHT, FraserRD, et al. Comparison of wound surface area measurements obtained using clinically validated artificial intelligence-based technology versus manual methods and the effect of measurement method on debridement code reimbursement cost[J]. Wounds, 2023,35(10):E330-E338.
    [33]
    WangSC, AndersonJAE, EvansR, et al. Point-of-care wound visioning technology: reproducibility and accuracy of a wound measurement app[J]. PLoS One, 2017,12(8):e0183139. DOI: 10.1371/journal.pone.0183139.
    [34]
    FoltynskiP, LadyzynskiP, CiechanowskaA, et al. Wound area measurement with digital planimetry: improved accuracy and precision with calibration based on 2 rulers[J]. PLoS One, 2015,10(8):e0134622. DOI: 10.1371/journal.pone.0134622.
    [35]
    FoltynskiP, LadyzynskiP, SabalinskaS, et al. Accuracy and precision of selected wound area measurement methods in diabetic foot ulceration[J]. Diabetes Technol Ther, 2013,15(8):712-721. DOI: 10.1089/dia.2013.0026.
    [36]
    FoltynskiP, LadyzynskiP, WojcickiJM. A new smartphone-based method for wound area measurement[J]. Artif Organs, 2014,38(4):346-352. DOI: 10.1111/aor.12169.
    [37]
    DunhamDTeeneLWound measurement software on a point-of-care, digital imaging device for verification of measurement accuracy2018-09-112024-12-31https://moleculight.com/posters/objective-wound-measurement-software-point-of-care-hand-held-fluorescence-imaging-device-verification-measurement-accuracy-repeatability/

    DunhamD, TeeneL. Wound measurement software on a point-of-care, digital imaging device for verification of measurement accuracy[EB/OL]. (2018-09-11) [2024-12-31]. https://moleculight.com/posters/objective-wound-measurement-software-point-of-care-hand-held-fluorescence-imaging-device-verification-measurement-accuracy-repeatability/.

    [38]
    赵楠, 周秋红, 许景灿, 等. 糖尿病足溃疡物理维度测量工具和技术的范围综述[J].解放军护理杂志,2021,38(11):69-72. DOI: 10.3969/j.issn.1008-9993.2021.11.018.
    [39]
    QueenD. Artificial intelligence and machine learning in wound care-the wounded machine![J]. Int Wound J, 2019,16(2):311. DOI: 10.1111/iwj.13108.
    [40]
    JungK, CovingtonS, SenCK, et al. Rapid identification of slow healing wounds[J]. Wound Repair Regen, 2016,24(1):181-188. DOI: 10.1111/wrr.12384.
    [41]
    SarpS, KuzluM, ZhaoY, et al. Digital twin in healthcare: a study for chronic wound management[J]. IEEE J Biomed Health Inform, 2023,27(11):5634-5643. DOI: 10.1109/JBHI.2023.3299028.
    [42]
    AnisuzzamanDM, WangC, RostamiB, et al. Image-based artificial intelligence in wound assessment: a systematic review[J]. Adv Wound Care (New Rochelle), 2022,11(12):687-709. DOI: 10.1089/wound.2021.0091.
    [43]
    JoplingJK, PridgenBC, YeungS. Setting assessment standards for artificial intelligence computer vision wound annotations[J]. JAMA Netw Open, 2021,4(5):e217851. DOI: 10.1001/jamanetworkopen.2021.7851.
    [44]
    ShahnazA, QamarU, KhalidA. Using blockchain for electronic health records[J]. IEEE Access, 2019, 7:147782-147795. DOI: 10.1109/ACCESS.2019.2946373.
    [45]
    HowellRS, LiuHH, KhanAA, et al. Development of a method for clinical evaluation of artificial intelligence-based digital wound assessment tools[J]. JAMA Netw Open, 2021,4(5):e217234. DOI: 10.1001/jamanetworkopen.2021.7234.
    [46]
    彭雨馨, 付光蕾. 人工智能在感染伤口管理中的应用进展[J].军事护理,2023,40(12):85-88. DOI: 10.3969/j.issn.2097-1826.2023.12.021.
  • 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 (79) PDF downloads(16) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return