Email Alerts
RSS
Volume 39 Issue 2
Feb.  2023
Turn off MathJax
Article Contents
Article Navigation >  CHINESE JOURNAL OF BURNS AND WOUNDS  > 2023  >  39(2): 158-164
Jiang WQ,Pan F,Chai M,et al.A prospective study on the development and application verification of the quantitative evaluation software for three-dimensional morphology of pathological scars based on photo modeling technology[J].Chin J Burns Wounds,2023,39(2):158-164.DOI: 10.3760/cma.j.cn501225-20220513-00184.
Citation: Jiang WQ,Pan F,Chai M,et al.A prospective study on the development and application verification of the quantitative evaluation software for three-dimensional morphology of pathological scars based on photo modeling technology[J].Chin J Burns Wounds,2023,39(2):158-164.DOI: 10.3760/cma.j.cn501225-20220513-00184.
shu

A prospective study on the development and application verification of the quantitative evaluation software for three-dimensional morphology of pathological scars based on photo modeling technology

doi: 10.3760/cma.j.cn501225-20220513-00184
  • 1.

    Department of Plastic and Reconstructive Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, China

  • 2.

    Shenyang Whalecolor Technology Co. Ltd, Shenyang 110170, China

More Information
    Abstract
  •   Objective  To develop a quantitative evaluation software for three-dimensional morphology of pathological scars based on photo modeling technology, and to verify its accuracy and feasibility in clinical application.  Methods  The method of prospective observational study was adopted. From April 2019 to January 2022, 59 patients with pathological scars (totally 107 scars) who met the inclusion criteria were admitted to the First Medical Center of Chinese PLA General Hospital, including 27 males and 32 females, aged 33 (26, 44) years. Based on photo modeling technology, a software for measuring three-dimensional morphological parameters of pathological scars was developed with functions of collecting patients' basic information, and scar photography, three-dimensional reconstruction, browsing the models, and generating reports. This software and the clinical routine methods (vernier calipers, color Doppler ultrasonic diagnostic equipment, and elastomeric impression water injection method measurement) were used to measure the longest length, maximum thickness, and volume of scars, respectively. For scars with successful modelling, the number, distribution of scars, number of patients, and the longest length, maximum thickness, and volume of scars measured by both the software and clinical routine methods were collected. For scars with failed modelling, the number, distribution, type of scars, and the number of patients were collected. The correlation and consistency of the software and clinical routine methods in measuring the longest length, maximum thickness, and volume of scars were analyzed by unital linear regression analysis and the Bland-Altman method, respectively, and the intraclass correlation coefficients (ICCs), mean absolute error (MAE), and mean absolute percentage error (MAPE) were calculated.  Results  A total of 102 scars from 54 patients were successfully modeled, which located in the chest (43 scars), in the shoulder and back (27 scars), in the limb (12 scars), in the face and neck (9 scars), in the auricle (6 scars), and in the abdomen (5 scars). The longest length, maximum thickness, and volume measured by the software and clinical routine methods were 3.61 (2.13, 5.19) and 3.53 (2.02, 5.11) cm, 0.45 (0.28, 0.70) and 0.43 (0.24, 0.72) cm, 1.17 (0.43, 3.57) and 0.96 (0.36, 3.26) mL. The 5 hypertrophic scars and auricular keloids from 5 patients were unsuccessfully modeled. The longest length, maximum thickness, and volume measured by the software and clinical routine methods showed obvious linear correlation (with r values of 0.985, 0.917, and 0.998, P<0.05). The ICCs of the longest length, maximum thickness, and volume of scars measured by the software and clinical routine methods were 0.993, 0.958, and 0.999 (with 95% confidence intervals of 0.989-0.995, 0.938-0.971, and 0.998-0.999, respectively). The longest length, maximum thickness, and volume of scars measured by the software and clinical routine methods had good consistency. The Bland-Altman method showed that 3.92% (4/102), 7.84% (8/102), and 8.82% (9/102) of the scars with the longest length, maximum thickness, and volume respectively were outside the 95% consistency limit. Within the 95% consistency limit, 2.04% (2/98) scars had the longest length error of more than 0.5 cm, 1.06% (1/94) scars had the maximum thickness error of more than 0.2 cm, and 2.15% (2/93) scars had the volume error of more than 0.5 mL. The MAE and MAPE of the longest length, maximum thickness, and volume of scars measured by the software and clinical routine methods were 0.21 cm, 0.10 cm, 0.24 mL, and 5.75%, 21.21%, 24.80%, respectively.  Conclusions  The quantitative evaluation software for three-dimensional morphology of pathological scars based on photo modeling technology can realize the three-dimensional modeling and measurement of morphological parameters of most pathological scars. Its measurement results were in good consistency with those of clinical routine methods, and the errors were acceptable in clinic. This software can be used as an auxiliary method for clinical diagnosis and treatment of pathological scars.

     

    • FullText(HTML)
  • loading
    • References(30)
  • [1]
    WangPH,HuangBS,HorngHC,et al.Wound healing[J].J Chin Med Assoc,2018,81(2):94-101.DOI: 10.1016/j.jcma.2017.11.002.
    [2]
    GoldMH,NestorMS,BermanB,et al.Assessing keloid recurrence following surgical excision and radiation[J/OL].Burns Trauma,2020,8:tkaa031[2022-05-13].https://pubmed.ncbi.nlm.nih.gov/33225004/.DOI: 10.1093/burnst/tkaa031.
    [3]
    OgawaR,AkitaS,AkaishiS,et al.Diagnosis and treatment of keloids and hypertrophic scars-japan scar workshop consensus document 2018[J/OL].Burns Trauma,2019,7:39[2022-05-13].https://pubmed.ncbi.nlm.nih.gov/31890718/.DOI: 10.1186/s41038-019-0175-y.
    [4]
    LvK,XiaZ,Chinese consensus panel on the prevention and treatment of scars.Chinese expert consensus on clinical prevention and treatment of scar[J/OL].Burns Trauma,2018,6:27[2022-05-13].https://pubmed.ncbi.nlm.nih.gov/30263894/.DOI: 10.1186/s41038-018-0129-9.
    [5]
    MokosZB, JovićA, GrgurevićL, et al. Current therapeutic approach to hypertrophic scars [J]. Front Med (Lausanne), 2017, 4: 83.DOI: 10.3389/fmed.2017.00083.
    [6]
    中国整形美容协会瘢痕医学分会常务委员会专家组.中国瘢痕疙瘩临床治疗推荐指南[J].中国美容整形外科杂志,2018,29(5):前插3-前插14.DOI: 10.3969/j.issn.1673-7040.2018.05.001.
    [7]
    FinlayV,BurrowsS,KendellR,et al.Modified Vancouver Scar Scale score is linked with quality of life after burn[J].Burns,2017,43(4):741-746.DOI: 10.1016/j.burns.2016.11.007.
    [8]
    ElrefaieAM,SalemRM,FaheemMH.High-resolution ultrasound for keloids and hypertrophic scar assessment[J].Lasers Med Sci,2020,35(2):379-385.DOI: 10.1007/s10103-019-02830-4.
    [9]
    DengH,Li-TsangCWP,LiJ.Measuring vascularity of hypertrophic scars by dermoscopy: construct validity and predictive ability of scar thickness change[J].Skin Res Technol,2020,26(3):369-375.DOI: 10.1111/srt.12812.
    [10]
    LobosN,WortsmanX,ValenzuelaF,et al.Color Doppler ultrasound assessment of activity in keloids[J].Dermatol Surg,2017,43(6):817-825.DOI: 10.1097/DSS.0000000000001052.
    [11]
    TaylorB,McGroutherDA,BayatA.Use of a non-contact 3D digitiser to measure the volume of keloid scars: a useful tool for scar assessment[J].J Plast Reconstr Aesthet Surg,2007,60(1):87-94.DOI: 10.1016/j.bjps.2005.12.051.
    [12]
    沈丹枫,施远,夏玲玲,等.便携式高精度三维扫描仪在瘢痕量化评估中的应用——附10例瘢痕疙瘩临床报告[J].组织工程与重建外科杂志,2016,12(1):37-40.DOI: 10.3969/j.issn.1673-0364.2016.01.010.
    [13]
    刘春军三维扫描技术在乳房测量评估中的应用北京北京协和医学院2014

    刘春军. 三维扫描技术在乳房测量评估中的应用[D]. 北京:北京协和医学院, 2014.
    [14]
    van der AaT, VerhielSH, ErendsM, et al. A simplified three-dimensional volume measurement technique in keloid scars: validity and reliability[J]. J Plast Reconstr Aesthet Surg, 2015,68(11):1574-1580. DOI: 10.1016/j.bjps.2015.07.001.
    [15]
    StekelenburgCM, JaspersME, NiessenFB, et al. In a clinimetric analysis, 3D stereophotogrammetry was found to be reliable and valid for measuring scar volume in clinical research[J]. J Clin Epidemiol, 2015,68(7):782-787. DOI: 10.1016/j.jclinepi.2015.02.014.
    [16]
    吕开阳,肖仕初,夏照帆.“中国临床瘢痕防治专家共识”解读[J].中华整形外科杂志,2018,34(12):985-990.DOI: 10.3760/cma.j.issn.1009-4598.2018.12.001.
    [17]
    中国临床瘢痕防治专家共识制定小组.中国临床瘢痕防治专家共识[J/CD].中华损伤与修复杂志:电子版,2017,12(6):401-406.DOI: 10.3877/cma.j.issn.1673-9450.2017.06.001.
    [18]
    BrownM, LoweDG. Unsupervised 3D object recognition and reconstruction in unordered datasets [G/OL]. International Conference on 3-D Digital Imaging & Modeling, 2005: 56-63[2022-05-13].https://xueshu.baidu.com/usercenter/paper/show?paperid=ebf9f00a096152a73c32ba12dd17f32c&site=xueshu_se. https://xueshu.baidu.com/usercenter/paper/show?paperid=ebf9f00a096152a73c32ba12dd17f32c&site=xueshu_se
    [19]
    杨罗坤基于多幅照片的三维人脸重建算法研究和实现南京南京邮电大学2018

    杨罗坤. 基于多幅照片的三维人脸重建算法研究和实现 [D].南京:南京邮电大学, 2018.
    [20]
    张婧秋,杨淑霞,涂平,等.74例瘢痕疙瘩疗效分析及超声在瘢痕疙瘩治疗中的监测作用[J].实用皮肤病学杂志,2017,10(3):136-141.DOI: 10.11786/sypfbxzz.1674-1293.20170303.
    [21]
    唐家训.介绍一种小面积增生性瘢痕体积测量方法[J].中华整形外科杂志,2004,20(2):152.DOI: 10.3760/j.issn:1009-4598.2004.02.026.
    [22]
    陈卉.Bland-Altman分析在临床测量方法一致性评价中的应用[J].中国卫生统计,2007,24(3):308-309,315.DOI: 10.3969/j.issn.1002-3674.2007.03.029.
    [23]
    VerhaegenPDHM, van der WalMBA, MiddelkoopE, et al. Objective scar assessment tools: a clinimetric appraisal [J]. Plast Reconstr Surg, 2011, 127(4): 1561-1570.DOI: 10.1097/PRS.0b013e31820a641a.
    [24]
    LeeKC,DretzkeJ,GroverL,et al.A systematic review of objective burn scar measurements[J/OL].Burns Trauma,2016,4:14[2022-05-13].https://pubmed.ncbi.nlm.nih.gov/27574684/.DOI: 10.1186/s41038-016-0036-x.
    [25]
    谢春晖,高欣欣,贾冀斌,等.Antera 3D®相机在瘢痕疙瘩治疗效果评估中的临床应用[J].中华烧伤杂志,2018,34(2):117-119.DOI: 10.3760/cma.j.issn.1009-2587.2018.02.012.
    [26]
    马欢欢, 赵清坡. Agisoft Photoscan照片建模技术在考古中的应用 [J]. 文物保护与考古科学, 2016, 28(4): 144-149.DOI: 10.16334/j.cnki.cn31-1652/k.2016.04.019.
    [27]
    李波. Agisoft Photoscan多视点3D建模技术在校园虚拟漫游中的应用 [J]. 信息与电脑(理论版), 2019(6): 115-116.
    [28]
    MorganB,FordALJ,SmithMJ.Standard methods for creating digital skeletal models using structure-from-motion photogrammetry[J].Am J Phys Anthropol,2019,169(1):152-160.DOI: 10.1002/ajpa.23803.
    [29]
    郭丽芳白癜风诊断和病情评价人工智能模型的建立及临床应用北京中国医学科学院2020

    郭丽芳. 白癜风诊断和病情评价人工智能模型的建立及临床应用[D]. 北京:中国医学科学院, 2020.
    [30]
    侯奕辰,彭辉,谢俊章,等.改进Unet++在脑肿瘤图像分割的研究[J].计算机工程与设计,2022,43(6):1725-1731.DOI: 10.16208/j.issn1000-7024.2022.06.029.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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

    Figures(3)  / Tables(1)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1316) PDF downloads(19) Cited by()
    Proportional views
    Related

    Copyright © Chinese Journal of Burns京ICP备07035254号-14

    E-mail：shaoshangzazhi@163.com

    Website：https://zhsszz.xml-journal.net/

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return