Unknown

Dataset Information

0

MD Codes™: A Methodological Approach to Facial Aesthetic Treatment with Injectable Hyaluronic Acid Fillers.


ABSTRACT:

Background

Patients often seek aesthetic correction of facial deficiencies (e.g., lines and folds) that are rarely the underlying cause of dissatisfaction with their appearance. Use of a more holistic approach focused on improving the emotional messages of the face (e.g., looking less sad) may improve patient satisfaction with treatment outcomes. The MD Codes™ system was developed to increase clinician success rates by reducing variability in the technical aspects of hyaluronic acid (HA) filler treatment and focusing on addressing unfavorable emotional attributes of the face.

Methods

The MD Codes, or medical codes, represent specific anatomical subunits for injection of HA fillers. Each MD Code includes information regarding the target depth of injection, the proper delivery tool (needle or cannula) and delivery technique (e.g., aliquot, bolus, fanning), and the minimum product volume recommended to achieve visible, reproducible results (active number). During treatment planning, the appropriate MD Codes are selected using algorithms focused on lessening unfavorable facial attributes (a saggy, tired, sad, or angry look) and enhancing positive attributes (an attractive, younger, more contoured, or feminine [soft] or masculine look).

Results

Three case studies are presented to illustrate how the MD Codes and their algorithms were used to address sagginess, tiredness, and sadness in two women and one man.

Conclusions

MD Codes provide a universal symbolic language for reducing variability in injection technique. The platform provides user-friendly algorithms to help clinicians increase patient satisfaction by going beyond treatment of lines and folds and to focus on reducing unfavorable facial attributes.

Level of evidence iv

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

SUBMITTER: de Maio M 

PROVIDER: S-EPMC8012343 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7004449 | biostudies-literature
| S-EPMC6374711 | biostudies-literature
| S-EPMC5535644 | biostudies-other
| S-EPMC5543334 | biostudies-literature
| S-EPMC7909806 | biostudies-literature
| S-EPMC9266407 | biostudies-literature
| S-EPMC4266026 | biostudies-literature
| S-EPMC5532757 | biostudies-other