Post-Treatment Displacement of Facial Soft Tissue Fillers-A Retrospective Ultrasound-based Investigation of 382 Zygomatic Regions.

BACKGROUND: Clinical and ultrasound experience has revealed that after soft tissue injections of the lateral cheek, the filler may displace from the zygoma to the caudal temporal area. OBJECTIVE: To obtain more data to provide insight into product distribution when soft tissue fillers are injected in the zygomatic region. METHODS: Two hundred patients were examined with facial ultrasound imaging of the zygomatic and temporal region. Inclusion criteria were simply a positive response on the screening questionnaire as to whether or not they had filler injections placed in their lateral cheek. Control injections were also performed to the zygomatic regions of a body donor and in 10 patients ultrasound-guided. RESULTS: A correlation was found between the layers in which filler was detected on the zygoma and where it was ultimately found in the temples. Four different redistribution patterns were observed: (1) migration of filler within the superficial muscular aponeurotic system (SMAS) on the zygoma into the superficial temporal fascia. Migration of filler from the lateral suborbicularis oculi fat to (2) the deep interfacial plane of the temple or (3) to the superficial temporal fat pad; (4) migration from the supraperiosteal layer of the zygoma to the superficial temporal fat pad. Body donor and patients: filler deposits injected on the zygoma were witnessed to shift during injection into the caudal part of the temple. CONCLUSION: Soft tissue filler aliquots may be redistributed into the temples after injections of the lateral side of the zygomatic arch. The displacement follows a distinct pattern depending on the initial layer of injection.

Vascular Safe Zones for Facial Soft Tissue Filler Injections.

The number of soft tissue filler injections performed by aesthetic injectors has continued to increase over the last few years. To provide a high standard of safety and achieve individualized, reproducible, and long-lasting outcomes, aesthetic injectors must have a solid foundation in anatomy, facial biomechanics, rheology, and injection biomechanics. Adverse events associated with soft tissue filler injections can be severe, especially if the aesthetic injector unintentionally injects the soft tissue filler into the patient's arterial vascular circulation and the administered product reaches the arterial bloodstream. Although the face has a rich arterial vascular supply that may seem overwhelmingly complex, it can be broken down systematically according to its internal and external vascular territories. To provide guidance for aesthetic practitioners performing minimally invasive facial injections for aesthetic purposes, this narrative article will discuss the course, depth, and branching pattern of the facial arteries based on the most frequently injected anatomical regions. In this article, we focus on vascular safe zones rather than danger zones .

Vascular Safe Zones for Facial Soft Tissue Filler Injections.

The number of soft tissue filler injections performed by aesthetic injectors has continued to increase over the last few years. To provide a high standard of safety and achieve individualized, reproducible, and long-lasting outcomes, aesthetic injectors must have a solid foundation in anatomy, facial biomechanics, rheology, and injection biomechanics. Adverse events associated with soft tissue filler injections can be severe, especially if the aesthetic injector unintentionally injects the soft tissue filler into the patient's arterial vascular circulation and the administered product reaches the arterial bloodstream. Although the face has a rich arterial vascular supply that may seem overwhelmingly complex, it can be broken down systematically according to its internal and external vascular territories. To provide guidance for aesthetic practitioners performing minimally invasive facial injections for aesthetic purposes, this narrative article will discuss the course, depth, and branching pattern of the facial arteries based on the most frequently injected anatomical regions. In this article, we focus on vascular safe zones rather than danger zones.

Magnetic Resonance Imaging for Breast Tumor Bed Delineation: Computed Tomography Comparison and Sequence Variation.

PURPOSE: Our purpose was to investigate the interobserver variability in breast tumor bed delineation using magnetic resonance (MR) compared with computed tomography (CT) at baseline and to quantify the change in tumor bed volume between pretreatment and end-of-treatment MR for patients undergoing whole breast radiation therapy. METHODS AND MATERIALS: Forty-eight patients with breast cancer planned for whole breast radiation therapy underwent CT and MR (T1, T1 fat-suppression [T1fs], and T2) simulation in the supine treatment position before radiation therapy and MR (T1, T1fs, and T2) at the end of treatment in the same position. Two observers delineated 50 tumor beds on the CT and all MR sequences and assigned cavity visualization scores to the images. The primary endpoint was interobserver variability, measured using the conformity index (CI). RESULTS: The mean cavity visualization scores at baseline were 3.14 (CT), 3.26 (T1), 3.41 (T1fs), and 3.58 (T2). The mean CIs were 0.65, 0.65, 0.72, and 0.68, respectively. T1fs significantly improved interobserver variability compared with CT, T1, or T2 (P < .001, P < .001, and P = .011, respectively). The CI for T1fs was significantly higher than T1 and T2 at the end of treatment (mean 0.72, 0.64, and 0.66, respectively; P < .001). The mean tumor bed volume on the T1fs sequence decreased from 18 cm3 at baseline to 13 cm3 at the end of treatment (P < .01). CONCLUSIONS: T1fs reduced interobserver variability on both pre- and end-of-treatment scans and measured a reduction in tumor bed volume during whole breast radiation therapy. This rapid sequence could be easily used for adaptive boost or partial breast irradiation, especially on MR linear accelerators.

Comparison of CT-based volumetric dosimetry with traditional prescription points in the treatment of cervical cancer with PDR brachytherapy.

INTRODUCTION: The traditional use of two-dimensional geometric prescription points in intracavitary brachytherapy planning for locally advanced cervical cancer is increasingly being replaced by three-dimensional (3D) planning. This study aimed to directly compare the two planning methods to validate that CT planning provides superior dosimetry for both tumour and organs at risk (OARs) in our department. METHODS: The CT planning data of 10 patients with locally advanced cervical cancer was audited. For each CT dataset, two new brachytherapy plans were created, comparing the dosimetry of conventional American Brachytherapy Society points and 3D-optimised volumes created for the high-risk clinical target volume (HR CTV) and OARs. Total biologically equivalent doses for these structures were calculated using the modified EQD2 formula and comparative dose-volume histogram (DVH) analysis performed. RESULTS: DVH analysis revealed that for the 3D-optimised plans, the prescription aim of D90 ≥ 100% was achieved for the HR CTV in all 10 patients. However, when prescribing to point A, only 50% of the plans achieved the minimum required dose to the HR CTV. Rectal and bladder dose constraints were met for all 3D-optimised plans but exceeded in two and one of the conventional plans, respectively. CONCLUSIONS: This study confirms that the regionally relevant practice of CT-based 3D-optimised planning results in improved tumour dose coverage compared with traditional points-based planning methods and also improves dose to the rectum and bladder.