Skip to main content
Log in

Infrared thermography as valuable tool for gynoid lipodystrophy (cellulite) diagnosis

  • Original Article
  • Published:
Lasers in Medical Science Aims and scope Submit manuscript

Abstract

Cellulite is a morphological alteration of the tegument tissue, directly interfering in self-esteem with etiology and pathophysiology far from being a consensus. Although the visual diagnosis of cellulitis is well known, it does not represent the real pathological condition of the subcutaneous tissue. The aim of the study was to investigate the hypothesis that the more heterogeneous tissue pattern analyzed by infrared thermography, the more severe is the cellulite grade. Forty female participants were selected and 60 thighs were analyzed by clinical anamnesis and infrared thermography. Classical visual analysis was correlated to the tissue heterogeneity measured by thermography. R Spearman’s correlation between visual evaluation and thermography was 0.92. Phototype presented a negative significant correlation of 0.67 with classical visual analysis. In the present study, we presented a simple method based on infrared thermography that can be adopted in any esthetics office with a correlation of 0.92 with the visual classic evaluation, but, besides, may be very helpful to the clinician to decide which treatment will be adopted, i.e., an aggressive and inflammatory approach such as the radiofrequency of shockwave therapy or an anti-inflammatory approach such as photobiomodulation, depending on the inflammatory status of cellulite.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Bass LS, Kaminer MS (2020) Insights into the pathophysiology of cellulite: a review. Dermatol Surg. 46 Suppl 1(1):S77–S85

  2. And NF, Müller G (1978) So-called cellulite: an invented disease. J Dermatol Surg Oncol 4(3):221–229

    Article  Google Scholar 

  3. Leszko M (2014) Cellulite in menopause. Prz Menopauzalny 13(5):298–304

    PubMed  PubMed Central  Google Scholar 

  4. de la Casa Almeida M, Suarez Serrano C, Rebollo Roldán J, Jiménez Rejano JJ (2013) Cellulite’s aetiology: a review. 27(3):273–8

  5. Merlen JF, Curri SB (1984) Anatomico-pathological causes of cellulite. J Mal Vasc. 9(Suppl A):53–4

    PubMed  Google Scholar 

  6. Curri SB, Merlen JF (1986) Microvascular disorders of adipose tissue. J Mal Vasc 11(3):303–309

    CAS  PubMed  Google Scholar 

  7. Draelos ZD (2005) The disease of cellulite. J Cosmet Dermatol 4(4):221–222

    Article  Google Scholar 

  8. Gilliver SC (2010) Sex steroids as inflammatory regulators. J Steroid Biochem Mol Biol 120(2–3):105–115

    Article  CAS  Google Scholar 

  9. Straub RH (2007) The complex role of estrogens in inflammation. Endocr Rev 28(5):521–74

    Article  CAS  Google Scholar 

  10. Pfeilschifter J, Köditz R, Pfohl M, Schatz H (2002) Changes in proinflammatory cytokine activity after menopause. Endocr Rev 23:90–119

    Article  CAS  Google Scholar 

  11. Au A, Feher A, McPhee L, Jessa A, Oh S, Einstein G (2016) Estrogens, inflammation and cognition. Front Neuroendocrinol 40:87–100

    Article  CAS  Google Scholar 

  12. - Bereshchenko O, Bruscoli S, Riccardi C (2018) Glucocorticoids, sex hormones, and immunity. Front Immunol. 9:1332. Review

  13. Emanuele E, Bertona M, Geroldi DA (2010) multilocus candidate approach identifies ACE and HIF1A as susceptibility genes for cellulite. J Eur Acad Dermatol Venereol 24(8):930–935

    Article  CAS  Google Scholar 

  14. Schlaudraff KU, Kiessling MC, Csaszar NB, Schmitz C (2014) Predictability of the individual clinical outcome of extracorporeal shock wave therapy for cellulite. Clin Cosmet Investig Dermatol 7:171–183

    PubMed  PubMed Central  Google Scholar 

  15. Nkengne A, Papillon A, Bertin C (2013) Evaluation of the cellulite using a thermal infra-red camera. Skin Res Technol 19(1):e231–e237

    Article  CAS  Google Scholar 

  16. Wilczyński S, Koprowski R, Deda A, Janiczek M, Kuleczka N, Błońska-Fajfrowska B (2017) Thermographic mapping of the skin surface in biometric evaluation of cellulite treatment effectiveness. Skin Res Technol. 23(1):61–69

    Article  Google Scholar 

  17. Tedgui A, Mallat Z (2001) Anti-inflammatory mechanisms in the vascular wall. Circ Res. 88(9):877–87

    Article  CAS  Google Scholar 

  18. Giamaica C, Zingaretti N, Amuso D, Dai Prè E, Brandi J, Cecconi D, Manfredi M, Marengo E, Boschi F, Riccio M, Amore R, Iorio EL, Busato A, De Francesco F, Riccio V, Parodi PC, Vaienti L, Sbarbati A (2020) Proteomic and ultrastructural analysis of cellulite-new findings on an old topic. Int J Mol Sci. 21(6):2077

    Article  Google Scholar 

  19. Pugliese PT (2007) The pathogenesis of cellulite: a new concept. J Cosmet Dermatol 6(2):140–142

    Article  Google Scholar 

  20. Yoo MA, Seo YK, Ryu JH, Back JH, Koh JS (2014) A validation study to find highly correlated parameters with visual assessment for clinical evaluation of cosmetic anti-cellulite products. Skin Res Technol 20(2):200–207

    Article  Google Scholar 

  21. Bauer J, Hoq NM, Mulcahy J, Tofail SAM, Gulshan F, Silien C, Podbielska H, Akbar MM (2020) Implementation of artificial intelligence and non-contact infrared thermography for prediction and personalized automatic identification of different stages of cellulite. EPMA J. 11(1):17–29

    Article  Google Scholar 

Download references

Funding

The study was supported by CNPq – Brazil.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rodrigo Alvaro B. Lopes-Martins.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lopes-Martins, R.A.B., Barbaroto, D.P., Da Silva Barbosa, E. et al. Infrared thermography as valuable tool for gynoid lipodystrophy (cellulite) diagnosis. Lasers Med Sci 37, 2639–2644 (2022). https://doi.org/10.1007/s10103-022-03530-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10103-022-03530-2

Keywords

Navigation