Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants
2.3. Study Process
2.4. Measurements
2.4.1. VSS
2.4.2. Dermoscopy
2.4.3. Antera 3D®
2.5. Data Analysis
3. Results
3.1. Demographics and Injury-Related Details
3.2. Comparison of Pre- and Post-Treatment VSS Scores and Antera 3D® Data
3.3. Baseline Variability Analysis of Scar Assessments in VSS, Dermoscopy, and Antera 3D®
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| PPS | pediatric pathological scars |
| 3D | three-dimensional |
| VSS | Vancouver Scar Scale |
| SRMs | standardized response means |
| CV | coefficient of variation |
| IRB | Institutional Review Board |
| ROI | region of interest |
| SD | standard deviation |
References
- Le Touze, A. Scars in Pediatric Patients. In Textbook on Scar Management: State of the Art Management and Emerging Technologies; Téot, L., Mustoe, T.A., Middelkoop, E., Gauglitz, G.G., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 397–404. [Google Scholar] [CrossRef] [Scilit]
- Lee, J.; Böscke, R.; Tang, P.-C.; Hartman, B.H.; Heller, S.; Koehler, K.R. Hair Follicle Development in Mouse Pluripotent Stem Cell-Derived Skin Organoids. Cell Rep. 2018, 22, 242–254. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Park, T.H.; Park, J.H.; Tirgan, M.H.; Halim, A.S.; Chang, C.H. Clinical implications of single- versus multiple-site keloid disorder: A retrospective study in an Asian population. Ann. Plast. Surg. 2015, 74, 248–251. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Delaleu, J.; Duverger, L.; Shourick, J.; Tirgan, M.H.; Algain, M.; Tounkara, T.; Kourouma, S.; Bagot, M.; Petit, A. Suppurative keloids: A complication of severe keloid disease. Int. J. Dermatol. 2021, 60, 1392–1396. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhu, Z.; Kong, W.; Lu, Y.; Shi, Y.; Gan, L.; Tang, H.; Wang, H.; Sun, Y. Epidemiological and clinical features of paediatric inpatients for scars: A retrospective study. Burns 2023, 49, 1719–1728. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Finnerty, C.C.; Jeschke, M.G.; Branski, L.K.; Barret, J.P.; Dziewulski, P.; Herndon, D.N. Hypertrophic scarring: The greatest unmet challenge after burn injury. Lancet 2016, 388, 1427–1436. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- McGarry, S.; Elliott, C.; McDonald, A.; Valentine, J.; Wood, F.; Girdler, S. Paediatric burns: From the voice of the child. Burns 2014, 40, 606–615. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nguyen, T.; Feldstein, S.; Shumaker, P.; Krakowski, A. A review of scar assessment scales. Semin. Cutan. Med. Surg. 2015, 34, 28–36. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Spronk, I.; Stortelers, A.; van der Vlies, C.H.; van Zuijlen, P.P.M.; Pijpe, A.; Burden of Burn Injuries Study Group. Scar quality in children with burns 5-7 years after injury: A cross-sectional multicentre study. Wound Repair Regen. 2021, 29, 951–960. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- O’Boyle, C.P.; Shayan-Arani, H.; Hamada, M.W. Intralesional cryotherapy for hypertrophic scars and keloids: A review. Scars Burn. Health 2017, 3, 2059513117702162. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ma, Y.; Barnes, S.P.; Chen, Y.-Y.; Moiemen, N.; Lord, J.M.; Sardeli, A.V. Influence of scar age, laser type and laser treatment intervals on paediatric burn scars: A systematic review and meta-analysis. Burn. Trauma 2024, 12, tkad046. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Roques, C.; Teot, L. A critical analysis of measurements used to assess and manage scars. Int. J. Low. Extrem. Wounds 2007, 6, 249–253. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Park, J.W.; Koh, Y.G.; Shin, S.H.; Choi, Y.-J.; Kim, W.-S.; Yoo, H.H.; Lee, J.O.; Jang, Y.N.; Kim, J.; Li, K.; et al. Review of Scar Assessment Scales. Med. Lasers 2022, 11, 1–7. [Google Scholar] [CrossRef] [Scilit]
- Price, K.; Moiemen, N.; Nice, L.; Mathers, J. Patient experience of scar assessment and the use of scar assessment tools during burns rehabilitation: A qualitative study. Burn. Trauma 2021, 9, tkab005. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, N.; Shi, K.; Hong, L.; Zhao, J.; Yu, J. Antera 3D camera: A novel method for evaluating the therapeutic efficacy of fractional CO2 laser for surgical incision scars. J. Cosmet. Dermatol. 2018, 17, 1041–1045. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ruccia, F.; Zoccali, G.; Cooper, L.; Rosten, C.; Nduka, C. A three-dimensional scar assessment tool for keloid scars: Volume, erythema and melanin quantified. Skin Res. Technol. 2021, 27, 1007–1016. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lembo, F.; Cecchino, L.R.; Parisi, D.; Portincasa, A. The objective evaluation of triamcinolone acetonide efficacy in keloids management using Antera3D® imaging system. Scars Burn. Health 2022, 8, 20595131221137768. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Deng, H.; Li-Tsang, C.W.P.; Li, J. Measuring vascularity of hypertrophic scars by dermoscopy: Construct validity and predictive ability of scar thickness change. Ski. Res. Technol. 2020, 26, 369–375. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Reed, G.F.; Lynn, F.; Meade, B.D. Use of coefficient of variation in assessing variability of quantitative assays. Clin. Vaccine Immunol. 2002, 9, 1235–1239. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pélabon, C.; Hilde, C.H.; Einum, S.; Gamelon, M. On the use of the coefficient of variation to quantify and compare trait variation. Evol. Lett. 2020, 4, 180–188. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yang, Y.; Wu, X.; Liu, W. Scar Symptom: Erythema and Thickness. In Textbook on Scar Management: State of the Art Management and Emerging Technologies; Téot, L., Mustoe, T.A., Middelkoop, E., Gauglitz, G.G., Eds.; Springer: Cham, Switzerland, 2020. [Google Scholar]



| Characteristics | Participants (n = 35) |
|---|---|
| Sex: male, n (%) | 15 (42.85%) |
| Mean age at injury | 7.93 ± 3.59 (range 0.75–17.00) |
| Age at injury, n (%) | |
| Infant (birth-23 months) | 1 (2.86%) |
| Preschool Child (2–5 years) | 3 (8.57%) |
| Child (6–12 years) | 24 (68.57%) |
| Adolescent (13–18 years) | 7 (20.00%) |
| Etiology, n (%) | |
| Post-trauma | 8 (25.86%) |
| Surgical | 27 (77.14%) |
| Duration of visit, n (%) | |
| <3 month | 25 (71.43%) |
| ≥3 month | 10 (28.57%) |
| Mean duration of visit (month) | 5.94 ± 4.95 |
| Scar location, n (%) | |
| Head/face/neck | 9 (25.71%) |
| Trunk | 13 (37.14%) |
| Arm | 2 (5.71%) |
| Hand | 5 (14.29%) |
| Leg | 6 (17.14%) |
| Pre (Mean ± SD) | Post (Mean ± SD) | ΔMean ± SD (Post–Pre) | p Value | Effect Size (SRM) | |
|---|---|---|---|---|---|
| VSS | |||||
| Pigmentation | 1.61 ± 0.68 | 1.61 ± 0.76 | 0.00 ± 0.67 | >0.05 | 0 (negligible) |
| Vascularity | 1.61 ± 0.86 | 1.47 ± 0.76 | −0.14 ± 0.67 | >0.05 | −0.21 (negligible) |
| Height | 1.39 ± 0.79 | 1.08 ± 0.76 | −0.31 ± 0.57 | <0.01 | −0.54 (moderate) |
| Pliability | 2.78 ± 0.85 | 1.78 ± 0.89 | −1.00 ± 0.88 | <0.0001 | −1.13 (large) |
| Overall | 7.39 ± 2.10 | 5.94 ± 2.20 | −1.44 ± 1.67 | <0.0001 | −0.86 (large) |
| Dermoscopy | |||||
| Green value | 141.20 ± 15.94 | 152.53 ± 13.31 | 11.34 ± 19.96 | <0.001 | 0.57 (moderate) |
| a* | 36.60 ± 5.74 | 30.98 ± 6.17 | −5.71 ± 8.37 | <0.0001 | −0.68 (moderate) |
| L* | 69.50 ± 4.54 | 72.29 ± 3.72 | 2.65 ± 5.51 | <0.0001 | 0.48 (moderate) |
| Antera 3D® | |||||
| Pigmentation | 75.75 ± 27.72 | 61.89 ± 29.02 | −12.14 ± 26.60 | <0.01 | −0.46 (moderate) |
| Vascularity | 107.69 ± 19.55 | 92.00 ± 24.20 | −13.43 ± 22.64 | <0.001 | −0.59 (moderate) |
| Volume | 2.59 ± 1.46 | 1.90 ± 1.58 | −0.65 ± 0.78 | <0.0001 | −0.83 (large) |
| Mean ± SD | CV (%) | |
|---|---|---|
| VSS | ||
| Pigmentation | 1.77 ± 0.65 | 36.45% |
| Vascularity | 1.60 ± 0.85 | 52.95% |
| Height | 1.69 ± 0.80 | 47.22% |
| Pliability | 2.37 ± 0.81 | 34.05% |
| Overall | 7.46 ± 2.37 | 31.76% |
| Dermoscopy | ||
| Green value | 143.90 ± 17.37 | 12.07% |
| a* | 35.58 ± 6.79 | 19.09% |
| L* | 68.63 ± 11.45 | 16.68% |
| ANTERA 3D® | ||
| Pigmentation | 69.91 ± 30.35 | 43.41% |
| Vascularity | 107.09 ± 18.34 | 17.13% |
| Volume | 15.87 ± 14.48 | 91.21% |
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Share and Cite
Guan, J.-Y.; Zou, X.; Ge, J.-W.; Tian, R.-C.; Liu, W.; Li, M.-Y.; Deng, D. Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars. Biomedicines 2026, 14, 784. https://doi.org/10.3390/biomedicines14040784
Guan J-Y, Zou X, Ge J-W, Tian R-C, Liu W, Li M-Y, Deng D. Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars. Biomedicines. 2026; 14(4):784. https://doi.org/10.3390/biomedicines14040784
Chicago/Turabian StyleGuan, Jin-Ye, Xing Zou, Jun-Wen Ge, Rui-Cheng Tian, Wei Liu, Mei-Yun Li, and Dan Deng. 2026. "Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars" Biomedicines 14, no. 4: 784. https://doi.org/10.3390/biomedicines14040784
APA StyleGuan, J.-Y., Zou, X., Ge, J.-W., Tian, R.-C., Liu, W., Li, M.-Y., & Deng, D. (2026). Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars. Biomedicines, 14(4), 784. https://doi.org/10.3390/biomedicines14040784

