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A Nomogram with the Keloid Activity Assessment Scale for Predicting the Recurrence of Chest Keloid after Surgery and Radiotherapy

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Abstract

Background

Patients with chest keloids undergoing surgery and adjuvant radiotherapy still have a high recurrence rate, which is a critical problem. The level of keloid activity has not been studied, and a nomogram model for predicting keloid recurrence has not been established in previous studies.

Methods

A total of 145 patients with chest keloids who underwent surgery and radiotherapy between January 2015 and January 2019 at Peking Union Medical College Hospital were included in our study. Demographic and clinical features and the score of KAAS were analyzed. We compared the area under the curve (AUC) and decision curve analysis (DCA) between KAAS and the Vancouver scar scale (VSS) and established a nomogram model for predicting the risk of recurrence. We used bootstrap and calibration plots to evaluate the performance of the nomogram.

Results

The KAAS can predict recurrence in patients with chest keloids after surgery and radiotherapy. Areas under the curve (AUCs) of KAAS and VSS were 0.858 and 0.711, respectively (p < 0.001). Decision curve analysis (DCA) demonstrated that the KAAS was better than the VSS. Complications after treatment may be risk factors for keloid recurrence. We created a nomogram by using complications and KAAS. The AUC was 0.871 (95% CI 0.812–0.930). The ROC of the model’s bootstrap was 0.865 and was well calibrated.

Conclusions

The KAAS can be used to predict the recurrence and we developed a nomogram for predicting the recurrence of chest keloids after surgery and adjuvant radiotherapy.

Level of Evidence IV

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Abbreviations

AUC:

Area under the curve

DCA:

Decision curve analysis

KAAS:

Keloid activity assessment scale

VSS:

Vancouver scar scale

CI:

Confidence interval

References

  1. Ekstein SF, Wyles SP, Moran SL, Meves A (2021) Keloids: a review of therapeutic management. Int J Dermatol 60(6):661–671. https://doi.org/10.1111/ijd.15159

    Article  CAS  PubMed  Google Scholar 

  2. Lee SS, Yosipovitch G, Chan YH, Goh CL (2004) Pruritus, pain, and small nerve fiber function in keloids: a controlled study. J Am Acad Dermatol 51(6):1002–1006. https://doi.org/10.1016/j.jaad.2004.07.054

    Article  PubMed  Google Scholar 

  3. Ogawa R, Tosa M, Dohi T, Akaishi S, Kuribayashi S (2019) Surgical excision and postoperative radiotherapy for keloids. Scars Burn Heal 5:2059513119891113. https://doi.org/10.1177/2059513119891113

    Article  PubMed  PubMed Central  Google Scholar 

  4. Miles OJ, Zhou J, Paleri S, Fua T, Ramakrishnan A (2021) Chest keloids: effect of surgical excision and adjuvant radiotherapy on recurrence, a systematic review and meta-analysis. ANZ J Surg 91(6):1104–1109. https://doi.org/10.1111/ans.16561

    Article  PubMed  Google Scholar 

  5. Ogawa R, Mitsuhashi K, Hyakusoku H, Miyashita T (2003) Postoperative electron-beam irradiation therapy for keloids and hypertrophic scars: retrospective study of 147 cases followed for more than 18 months. Plast Reconstr Surg 111(2):547–53. https://doi.org/10.1097/01.PRS.0000040466.55214.35 (Discussion 54-5)

    Article  PubMed  Google Scholar 

  6. Wagner W, Alfrink M, Micke O, Schafer U, Schuller P, Willich N (2000) Results of prophylactic irradiation in patients with resected keloids—a retrospective analysis. Acta Oncol 39(2):217–220. https://doi.org/10.1080/028418600430806

    Article  CAS  PubMed  Google Scholar 

  7. Maemoto H, Iraha S, Arashiro K, Ishigami K, Ganaha F, Murayama S (2020) Risk factors of recurrence after postoperative electron beam radiation therapy for keloid: comparison of long-term local control rate. Rep Pract Oncol Radiother 25(4):606–611. https://doi.org/10.1016/j.rpor.2020.05.001

    Article  PubMed  PubMed Central  Google Scholar 

  8. Maemoto H, Ishigami K, Iraha S, Arashiro K, Kusada T, Ganaha F et al (2020) Analyses of size and computed tomography densitometry parameters for prediction of keloid recurrence after postoperative electron beam radiation therapy. Skin Res Technol 26(1):125–131. https://doi.org/10.1111/srt.12775

    Article  PubMed  Google Scholar 

  9. Ogawa R, Akaishi S, Kuribayashi S, Miyashita T (2016) Keloids and hypertrophic scars can now be cured completely: recent progress in our understanding of the pathogenesis of keloids and hypertrophic scars and the most promising current therapeutic strategy. J Nippon Med Sch 83(2):46–53. https://doi.org/10.1272/jnms.83.46

    Article  CAS  PubMed  Google Scholar 

  10. Park SY (2018) Nomogram: an analogue tool to deliver digital knowledge. J Thorac Cardiovasc Surg 155(4):1793. https://doi.org/10.1016/j.jtcvs.2017.12.107

    Article  PubMed  Google Scholar 

  11. Hoshino N, Hida K, Sakai Y, Osada S, Idani H, Sato T et al (2018) Nomogram for predicting anastomotic leakage after low anterior resection for rectal cancer. Int J Colorectal Dis 33(4):411–418. https://doi.org/10.1007/s00384-018-2970-5

    Article  PubMed  Google Scholar 

  12. Jeong SH, Kim RB, Park SY, Park J, Jung EJ, Ju YT et al (2020) Nomogram for predicting gastric cancer recurrence using biomarker gene expression. Eur J Surg Oncol 46(1):195–201. https://doi.org/10.1016/j.ejso.2019.09.143

    Article  PubMed  Google Scholar 

  13. Pan YX, Chen JC, Fang AP, Wang XH, Chen JB, Wang JC et al (2019) A nomogram predicting the recurrence of hepatocellular carcinoma in patients after laparoscopic hepatectomy. Cancer Commun 39(1):55. https://doi.org/10.1186/s40880-019-0404-6

    Article  Google Scholar 

  14. Shen J, Lian X, Sun Y, Wang X, Hu K, Hou X et al (2015) Hypofractionated electron-beam radiation therapy for keloids: c of 568 cases with 834 lesions. J Radiat Res 56(5):811–817. https://doi.org/10.1093/jrr/rrv031

    Article  PubMed  PubMed Central  Google Scholar 

  15. Maeda T, Funayama E, Yamamoto Y, Murao N, Osawa M, Ishikawa K et al (2021) Long-term outcomes and recurrence-free interval after the treatment of keloids with a standardized protocol. J Tissue Viabil 30(1):128–132. https://doi.org/10.1016/j.jtv.2020.11.003

    Article  CAS  Google Scholar 

  16. Furtado F, Hochman B, Farber PL, Muller MC, Hayashi LF, Ferreira LM (2012) Psychological stress as a risk factor for postoperative keloid recurrence. J Psychosom Res 72(4):282–287. https://doi.org/10.1016/j.jpsychores.2011.12.010

    Article  PubMed  Google Scholar 

  17. Park TH, Seo SW, Kim JK, Chang CH (2011) Outcomes of surgical excision with pressure therapy using magnets and identification of risk factors for recurrent keloids. Plast Reconstr Surg 128(2):431–439. https://doi.org/10.1097/PRS.0b013e31821e7006

    Article  CAS  PubMed  Google Scholar 

  18. Huang C, Ogawa R (2014) The link between hypertension and pathological scarring: does hypertension cause or promote keloid and hypertrophic scar pathogenesis? Wound Repair Regen 22(4):462–466. https://doi.org/10.1111/wrr.12197

    Article  CAS  PubMed  Google Scholar 

  19. Ogawa R (2017) Keloid and hypertrophic scars are the result of chronic inflammation in the reticular dermis. Int J Mol Sci. https://doi.org/10.3390/ijms18030606

    Article  PubMed  PubMed Central  Google Scholar 

  20. Venter C, Eyerich S, Sarin T, Klatt KC (2020) Nutrition and the immune system: a complicated tango. Nutrients. https://doi.org/10.3390/nu12030818

    Article  PubMed  PubMed Central  Google Scholar 

  21. Berman B, Maderal A, Raphael B (2017) Keloids and hypertrophic scars: pathophysiology, classification, and treatment. Dermatol Surg 43(Suppl 1):S3–S18. https://doi.org/10.1097/DSS.0000000000000819

    Article  CAS  PubMed  Google Scholar 

  22. Hirata M, Kamatani Y, Nagai A, Kiyohara Y, Ninomiya T, Tamakoshi A et al (2017) Cross-sectional analysis of BioBank Japan clinical data: a large cohort of 200,000 patients with 47 common diseases. J Epidemiol 27(3S):S9–S21. https://doi.org/10.1016/j.je.2016.12.003

    Article  PubMed  PubMed Central  Google Scholar 

  23. Goltsman D, Munabi NCO, Ascherman JA (2017) The association between smoking and plastic surgery outcomes in 40,465 patients: an analysis of the American college of surgeons national surgical quality improvement program data sets. Plast Reconstr Surg 139(2):503–511. https://doi.org/10.1097/PRS.0000000000002958

    Article  CAS  PubMed  Google Scholar 

  24. Martin ET, Kaye KS, Knott C, Nguyen H, Santarossa M, Evans R et al (2016) Diabetes and risk of surgical site infection: a systematic review and meta-analysis. Infect Control Hosp Epidemiol 37(1):88–99. https://doi.org/10.1017/ice.2015.249

    Article  PubMed  Google Scholar 

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Funding

This study was supported by the Beijing Municipal Commission of Science and Technology (Z191100006619009) as well as the National Natural Science Foundation of China (81871538).

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Correspondence to Youbin Wang.

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Ethical Approval

This study was approved by the ethics committee of the Institutional Review Board of PUMCH (Ethic Review Number: S-K1765). All patients agreed to use their pictures in this study, and they cannot be recognized.

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Hao, Y., Liang, Z., Liu, H. et al. A Nomogram with the Keloid Activity Assessment Scale for Predicting the Recurrence of Chest Keloid after Surgery and Radiotherapy. Aesth Plast Surg 47, 872–879 (2023). https://doi.org/10.1007/s00266-022-03187-w

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