Application of high‐frequency ultrasound in detection and identification of nasal filling injection materials

Abstract

Objective To access and determine the ultrasound images of different nasal filling injection materials. Methods From November 2014 to November 2021, facial ultrasound images of Plastic Surgery Hospital of Chinese Academy of Medical Science were analyzed and judged. Results A total of 337 cases were enrolled, including 203 cases of hyaluronic acid, 102 cases of polyacrylamide hydrogel, 16 cases of calcium hydroxyapatite‐based fillers, 10 cases of silicone oil, and 6 cases of growth factor. According to ultrasound images, hyaluronic acid is characterized by anechoic area with a clear boundary, which seems like a capsule, and the internal echo is uniform, there is no obvious blood flow signal in it. It is possible to see a stratified appearance if hyaluronic acid diffused into surrounding tissues, and it is mainly exhibited as hypoechoic area, with anechoic or hypoechoic areas in it. Polyacrylamide hydrogel showed irregular flocculent hypoechoic or fine punctured hypoechoic under ultrasound, which could aggregate into cystic hypoechoic area or disperse in tissue space, and echo floating or dislocation flow could be seen under probe pressure. Under ultrasound, calcium hydroxyapatite‐based filler is characterized by heterogeneous hyperechoic or hypoechoic area, which spreads in the tissue space with unclear boundary with surrounding tissue, and no obvious liquid flow could be observed. Silicone oil is commonly found in the dermis, it is characterized by cloud‐like high echo, the deep tissue is not clear. Growth factor is characterized by heterogeneous echo, which is similar to the echo of peripheral tissue, and the boundary is not clear. Plenty of blood flow signals suggest infection. If the image is characterized with posterior echogenic shadow, it suggests calcification. Conclusions High‐frequency ultrasound can identify the types of nasal filling injection materials and can guide the selection of clinical treatment plan according to the classification of imaging features.

Periorbital venous stasis may be involved with filler induced malar edema—A duplex ultrasound‐imaging‐based case series

“…Filler migration has been described and may take years to manifest. This delayed migration /redistribution of fillers is visible on ultrasound as a stratified dispersion pattern within the SMAS 26,27 accompanied with SMAS expansion, and may also explain the late time of onset of malar edema 28–31 . The musculocutaneous perforators supplied by the facial artery run through the SMAS 32 .…”

A Scoping Review of Hyaluronidase Use in Managing the Complications of Aesthetic Interventions

“…A limitation of the reviewed studies [52][53][54][55] is the use of subjective visual detection [54] or finger palpation using a 5-point scale system [52][53][54][55] that may not be able to detect and record subtle changes in palpation scores. Recently, there has been an increase in the use of ultrasound-guided methods [82,83] and ultrasound can be used in future studies to quantitatively assess the changes in the volume of HA filler over time.…”

“…If fascial structures or muscles lie between the site of HA filler and the site of hyaluronidase hyaluronidase injection, dissolution is dramatically reduced, especially the HA filler exists in a large bolus. Withing this context, the use of ultrasound–guided methods [ 82 , 83 ] can be a good adjunct to locate the filler and assess quantitatively HA filler degradation after hyaluronidase injection.…”

A Influência Da Dispareunia Na Função Sexual Feminina: Uma Revisão

“…padrão "flocos de neve de grãos finos" (Figura 5), que consiste em imagens hiperecóicas com sombra ecogênica posterior, relacionadas a produtos como silicones líquidos ou polímeros; padrão "flocos de neve de grão grosso" ( CaHA as imagens foram caracterizadas por área hiperecóica ou hipoecóica heterogênea, o óleo de silicone apresentou alto eco em forma de nuvem. Os pesquisadores chegaram à conclusão de que a ultrassonografia de alta frequência tem a capacidade de identificar diferentes tipos de materiais preenchedores, auxiliando na escolha de plano de tratamento clínico (CHAI et al, 2022).…”