Innovative paradigm in aesthetics medicine: Proposal for diagnostic morphological geometric by thirds, semiology in clinical applied to aging facial

Background: A predictive model of facial feature data was established by machine learning to screen the objective parameters of risk factors of facial morphological features of type 2 diabetes mellitus (T2DM) following the theory of traditional Chinese medicine (TCM). In TCM, a facial inspection is an important way to diagnose patients. Doctors can judge the health status of their patients by observing their facial features. However, the lack of description of the objective parameters and quantitative indicators hinders the development of TCM testing research.Methods: In this study, the following diagnostic criteria for diabetes developed by the World Health Organization (WHO) in 1999 were used to determine the inclusion and exclusion criteria for T2DM and non-T2DM. T2DM patients and control participants were enrolled in the study, and their facial images were collected. In this study, two facial inspection risk-factor models were constructed, including the "lambda.min" and "lambda.1se" model.Results: A total of 81 key points in the facial images were screened, and 18 facial morphological parameters were measured. The least absolute shrinkage and selection operator (LASSO) regression model was used to construct T2DM facial inspection risk-factor models. The areas under the curve (AUCs) of the "lambda.min" model and the "lambda.1se" model were 0.799 and 0.776, respectively. The predictive efficiency of the two T2DM risk models selected by the LASSO regression model was relatively high. Among the eight parameters, the width of the jaw was the most important of the defined facial features. According to the receiver operating characteristic (ROC) curve analysis of the two prediction models constructed, the two models had good predictive efficiency for T2DM. The AUCs of the two models were 0.695 and 0.682, respectively. And the reproducibility is good. The prediction model was available, which showed that the objective parameters of the facial features recognized by machine learning have a certain value in the automatic prediction of T2DM. Conclusions:The influence of facial features is physical factor. Thus, the objective parameters of facial features should be specific to differential diagnosis of T2DM.

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Smart PDOs™ and the Cartesian Technique™: A milestone in facial rejuvenation with bioactive scaffolds

Velazco de Maldonado,

Suarez-Vega,

Miller-Kobisher

et al. 2024

JCAS

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Objectives: Evaluate the controlled release of silicon from smart polydioxanone suture (Smart PDOs™) and the clinical effect of the Cartesian Technique™ in face lifting. Material and Methods: This study was preclinical and clinical trials randomized, uncontrolled, and phase I carried out. Preclinical trials included instrumental analysis of silicon-enriched sutures by light microscopy, electron microscopy, and Ultraviolet-visible (UV-vis) spectroscopy. The clinical trial included 35 patients with primary and secondary rhytides, grade I lipomatosis, and grade I deflation. Polydioxanone (PDO) sutures are inserted following the Cartesian Technique™, a vectorial lift from the intersection of the Cartesian planes of the face. Once the cannulas were inserted with the PDO thread, 0.1 mL of organic silicon was dosed. Turgidity was examined by the pinch test of skin turgor. To measure the position of flaccid or deflated tissues, the scale used was the deflation scale. Results: The controlled release of organic silicon from the PDO sutures was verified. Its clinical application revealed that after 8 days the improvement in turgidity, wrinkle reversal, and flaccidity tightening was maintained in 100% of the sample. At 15 days, reversal of rhytides was observed, softening of deep furrows in 80%, and the initial turgor and skin tightening maintained without deflation in 90% of cases. Histopathological findings reveal that silicon synergistically potentiates the tissue effect of the PDO suture, generating greater biostimulation of fibroblasts with better quality collagen fibers, greater restructuring and redensification of the skin, and avoiding the late inflammatory response. Conclusion: The Cartesian Technique™ with Smart PDOs™ is an effective protocol for skin replenishment that enhances cell biostimulation through the release of bioactive drugs.

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Innovative paradigm in aesthetics medicine: Proposal for diagnostic morphological geometric by thirds, semiology in clinical applied to aging facial

Cited by 4 publications

References 18 publications

Clinical efficacy and safety of targeted injection of PRP with skin booster in the treatment of aging face

Clinical efficacy and safety of targeted injection of PRP with skin booster in the treatment of aging face

Objective study of the facial parameters of observations in patients with type 2 diabetes mellitus by machine learning

Smart PDOs™ and the Cartesian Technique™: A milestone in facial rejuvenation with bioactive scaffolds

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