A Guide to Doppler Ultrasound Analysis of the Face in Cosmetic Medicine. Part 2: Vascular Mapping

Administration Method and Potential Efficacy of Hyaluronidase for Hyaluronic Acid Filler-Related Vision Loss: A Systematic Review

BACKGROUND

With the global increase in the use of injectable fillers, more cases with serious adverse events such vision loss are being reported. This article aims to review the cases of hyaluronic acid (HA) filler-related vision loss and to discuss the potential efficacy of hyaluronidase (HYASE) treatment via different given methods.

METHODS

A total of 29 articles presenting 144 cases of HA filler-related vision loss were included in this study.

RESULTS

Most cases of HA filler-related vision impairment were reported from China, followed by Korea. The majority of cases were seen in women. The nose, forehead and glabella were the most commonly injection sites. All cases had vision impairment and nearly all cases were unilateral with immediate onset of visual signs and symptoms. Ophthalmic artery occlusion (OAO) and central retinal artery occlusion (CRAO) were the two most commonly involved arterial obstruction patterns featured with a very poor prognosis followed by branch retinal artery occlusion (BRAO), the most favorable involved arterial pattern for a better prognosis. HYASE given subcutaneously and intra-arterially helped with visual recovery to different degrees, while retrobulbar HYASE seemed to be less helpful.

CONCLUSION

Complications after HA-based filler injection are extremely rare but can cause disastrous visual impairment. HYASE given subcutaneously and intra-arterially helped with visual recovery to different extents, and the efficacy might be reinforced when performed together, while retrobulbar HYASE seemed to be less helpful. However, to accurately access the efficacy of HYASE via different administration methods, further randomized controlled trials are needed.

LEVEL OF EVIDENCE III

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Personalization of Minimally-Invasive Aesthetic Procedures with the Use of Ultrasound Compared to Alternative Imaging Modalities

Ultrasonography is a well-tolerated procedure that aids in the targeted esthetic therapies of special cutaneous regions, as well as in the prevention (vascular mapping, identification of previous filler, and others) and management of potential complications (vascular occlusion, external vascular compression, product misplacement or migration, inflammatory reactions, and others). It has lately been promoted as the first-line imaging tool to address injectables. In this article, we aim to review the evolving role of ultrasonography in cosmetic filler procedures, from the fundamental ultrasound characterization of cosmetic fillers to the ultrasound-enhanced detection and management of cosmetic filler complications, including ultrasound's role in hyaluronidase-guided injections for cosmetic filler dissolution. Furthermore, the paper explores the integral role played by ultrasound in enhancing the precision, efficacy, and safety of additional minimally invasive aesthetic techniques such as mesotherapy, radiofrequency, cryolipolysis, and polydioxanone procedures.

Anatomic evaluation of the normal variants of the arteries of face using color Doppler ultrasonography: Implications for facial aesthetic procedures

BACKGROUND

Knowledge of normal facial vascular variations could prevent catastrophic complications of cosmetic procedures as well as providing a guide for surgical planning. Color Doppler ultrasound is a safe and noninvasive method for real time vascular evaluation.

OBJECTIVE

The aim of this study was to evaluate the normal variations of the facial, angular, transverse facial, supratrochlear and supraorbital arteries in a sample of normal individuals.

METHODS

Normal individuals referred for dermal filler injection to the tertiary dermatologic center, were selected. Patients who were smoker or had a history of facial filler injection, facial surgery, or trauma were excluded from the study. Facial artery at three levels as well as angular, supratrochlear, supraorbital, and transverse facial arteries were evaluated by an 18 MHz ultrasound linear probe regarding their distance from facial reference lines and landmarks, and also their depths in various regions of face.

RESULTS

A total number of 43 individuals were evaluated in this study. Thirty-one (72.1%) were women. The number of absent facial artery was zero in level one, three (3.48%) in level two, and nine (10.46%) in level three. The angular artery was absent in 10 (11.62%) participants. The transverse facial artery was absent in 27 (31.39%) assessed individuals. Distance from reference lines at level 2 and 3 of facial artery and its depth at level 2 were significantly different between left and right side (p-values: <0.001, 0.01, and 0.03, respectively). No significant difference was seen between depth and distance of two sides for angular and transverse facial arteries. The comparison of the depths and distances from the reference lines of the assessed arteries between two sexes revealed only a significantly greater value of facial artery distance in level 1 in males (p-value: 0.001). BMI was also significantly correlated with the depth of facial artery in level 2 (Pearson correlation coefficient = 0.471, p-value = 0.002) and level 3 (Pearson correlation coefficient = 0.357, p-value = 0.03) and the distance of the facial artery in level 1 (Pearson correlation coefficient = 0.333, p-value = 0.029).

CONCLUSIONS

Color Doppler ultrasound could be used to map the arteries of face to prevent vascular complications and safely guide cosmetic procedures.

The growing importance of ultrasonography in cosmetic dermatology: An update after the 23rd IMCAS Annual World Congress (2022)

BACKGROUND

Ultrasound (US) has been used for many years in the field of medicine. Many specialties have embraced US as a quick, painless, and relatively inexpensive tool to assist the clinician in determining anatomy, pathology, and aid in diagnostic or therapeutic procedures. US allows for precise mapping of cutaneous and subcutaneous structures in the face, in particular vascular structures. The use of US leads to reduced chances of complications and clinical failures, rendering more safety and high quality.

METHODS

US is considered the first-imaging technique for dealing with fillers and managing their potential complications. US can be deployed for vascular mapping, safe placement of fillers, and directed low-dose hyaluronidase reversal of vascular adverse events. It is a noninvasive imaging modality that provides a good definition for studying the skin, deeper layers, and blood flow in real time. In other words, we go from static to dynamic anatomy. In addition, US can guide with the application of botulinum toxin, in order to define the muscular planes. US may contribute to a more personalized procedure, better cosmetic results, and help to avoid complications. In general, physicians tend to use it for prevention. Last, for research purposes, US examination provides valuable information on the behavior, longevity, and interaction of the filler within the tissues.

CONCLUSION

This new approach for US-guided treatments is a very practical and an effective method in cosmetic dermatology. As doctors, we owe it to our patients to do our best to prevent any harm. We feel that in near future, US will be an essential diagnostic tool in any dermatology or cosmetic doctor's office to both ensure safety and provide legal protection for the professional.

Applied anatomy of the layers and soft tissues of the forehead during minimally-invasive aesthetic procedures

BACKGROUND

An increasing demand of minimally-invasive aesthetic procedures of the forehead concomitantly leads to higher numbers of adverse events. Adequate application of anatomical knowledge is required to increase safety and efficacy of different minimally-invasive aesthetic procedures in this anatomical region.

OBJECTIVE

To describe the layered anatomy of the forehead soft tissues with respect to their thicknesses and how they relate to different minimally-invasive aesthetic treatments.

METHODS

A total of n = 85 healthy study participants (69 females and 16 males) with a mean age of 40.84 ± 10.9 years and a mean body mass index of 22.65 ± 2.6 kg/m² were investigated with ultrasound-based imaging to measure the thickness of different forehead soft tissues.

RESULTS

The mean overall soft tissue thickness of the forehead was measured to be 4.18 ± 0.7 mm for the entire study population. Increasing BMI values correlated statistically significantly with increasing thickness of all measured forehead soft tissues with exception of the frontalis muscle. On a statistically significant level, males showed thicker forehead soft tissues than females, with exception of the retrofrontalis fat and the frontalis muscle.

CONCLUSION

On basis of the findings obtained in this study, basic treatment principles can be derived and improved for the injection of neuromodulators, hyaluronic acid as well as the application of polydiaxonane (PDO) threads and micro-focused ultrasound. Precise knowledge and thorough understanding of the layers and soft tissues of the forehead is required to guarantee safe and effective procedures in this aesthetically important facial region.

Analysis of facial ultrasonography images based on deep learning

Transfer learning using a pre-trained model with the ImageNet database is frequently used when obtaining large datasets in the medical imaging field is challenging. We tried to estimate the value of deep learning for facial US images by assessing the classification performance for facial US images through transfer learning using current representative deep learning models and analyzing the classification criteria. For this clinical study, we recruited 86 individuals from whom we acquired ultrasound images of nine facial regions. To classify these facial regions, 15 deep learning models were trained using augmented or non-augmented datasets and their performance was evaluated. The F-measure scores average of all models was about 93% regardless of augmentation in the dataset, and the best performing model was the classic model VGGs. The models regarded the contours of skin and bones, rather than muscles and blood vessels, as distinct features for distinguishing regions in the facial US images. The results of this study can be used as reference data for future deep learning research on facial US images and content development.