Nanofat is a relatively novel technique in fat grafting that has gained significant interest in the fields of regenerative medicine, aesthetic and translational research. It involves the extraction of autologous fat from a patient, which is then transformed into “nanofat”, consisting of small fat particles with a diameter of less than 0.1 mm and containing high concentrations of stem cells and growth factors. This article focuses on the use of nanofat in facial rejuvenation and its potential for lipomodelling. Fat tissue is a “stem cell depot” and nanofat contains many stem cells that can differentiate into various cell types. The Lipogem technology, developed in 2013, enables the isolation of nanofat with an intact perivascular structure, utilizing the high concentration of mesenchymal stromal cells near the pericytes of the adipose vascular system. Nowadays nanofat is used primarily for cosmetic purposes particularly in rejuvenating and improving the appearance of the skin, especially the face. Indeed, it has wide applicability; it can be used to treat fine lines, wrinkles, acne scars, sun-damaged skin, scar repair, and as an alopecia treatment. However, further studies are needed to assess the long-term efficacy and safety of this technique. In conclusion, nanofat is a safe and minimally invasive option for tissue regeneration with considerable therapeutic potential. This study reviews the application and effects of nanofat in regenerative medicine and facial cosmetic surgery.

Background: Success or failure of plastic surgery procedures relies on cosmetic results. Understanding the objective perception of favorable aesthetic results is critical to ensure patient satisfaction. The aim of this study was to develop and validate a new facial rating scale that could objectively assess face- and neck-lift outcomes: the Face- and Neck-Lift Objective Photo-Numerical Assessment Scale. Methods: One thousand White patients were included in the authors’ study and assessed. To validate the authors’ scale, the interrater reliability and the test-retest reliability were analyzed. The Rasch model was used as part of the scale validation process. Results: Eleven scales for face- and neck-lift outcomes assessment were developed. All scales exceeded criteria for acceptability, reliability, and validity. The interrater and intrarater reliabilities were good, with a substantial or virtually perfect interrater reliability for the total score (P = 0.15). Conclusions: The authors’ results allowed us to validate the Face- and Neck-Lift Objective Photo-Numerical Assessment Scale as a reliable and reproducible tool to assess face- and neck-lift outcomes. This scale could be also considered as an important new metric to be used in facial rejuvenation surgery clinical research.

Background: Striae distensae evaluation criteria have been recently described, but none is focused on objective striae assessment. With the purpose of better and objectively estimating the severity of striae distensae, the Objective Stretch Marks Assessment Scale has been developed by the authors’ team. Methods: Seven hundred White patients were included in the study and assessed. To assess the severity of striae distensae, abdomen, breasts, hips, gluteal area, back area, thighs, calves, and upper limbs photonumeric grading scales were developed. The Rasch model was used as part of the validation process. A score was attributed to each patient, based on the scales we developed. The interrater reliability and test-retest reliability were analyzed. Results: Eight photonumeric scales for striae distensae treatment outcomes assessment were developed. All scales exceeded criteria for acceptability, reliability and validity. The interrater and intrarater reliabilities were good, with a substantial or virtually perfect interrater reliability for the total score (P = 0.16). Conclusions: The authors’ results allowed them to validate the Objective Stretch Marks Assessment Scale as a reliable and reproducible tool to assess striae distensae treatment outcomes. This scale could be also considered as an important new metric that can be used in clinical research.