Complete Platysma Muscle Suspension in Deep Plane Facelift Surgery.

SUMMARY: Deep plane facelift surgery is not new, having originally been described over 30 years ago, however the technique has seen a recent surge in popularity. While proponents emphasize its ability to deliver very natural results, critics often cite the possibility of additional risk of the procedure due to its technically challenging dissection in proximity to branches of the facial nerve and other critical structures. These risks are perhaps greatest when operating in what have historically been described as the "danger zones," particularly when releasing the zygomatic retaining ligaments, when performing the medial deep plane dissection in the midface, and when extending the platysma flap over the angle of the mandible into the neck. The senior author (DBR) has performed deep plane facelift surgery for over 20 years, training many novice surgeons to perform this procedure safely and incrementally. Herein, we illustrate surgical techniques to optimize safety when performing deep plane dissections. A novel vertical midline platysmaplasty combined with extended release of the low cervical platysma provide rejuvenation of the neck that extends to the clavicles.

VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles.

Cochlear hair cell stereocilia bundles are key organelles required for normal hearing. Often, deafness mutations cause aberrant stereocilia heights or morphology that are visually apparent but challenging to quantify. Actin-based structures, stereocilia are easily and most often labeled with phalloidin then imaged with 3D confocal microscopy. Unfortunately, phalloidin non-specifically labels all the actin in the tissue and cells and therefore results in a challenging segmentation task wherein the stereocilia phalloidin signal must be separated from the rest of the tissue. This can require many hours of manual human effort for each 3D confocal image stack. Currently, there are no existing software pipelines that provide an end-to-end automated solution for 3D stereocilia bundle instance segmentation. Here we introduce VASCilia, a Napari plugin designed to automatically generate 3D instance segmentation and analysis of 3D confocal images of cochlear hair cell stereocilia bundles stained with phalloidin. This plugin combines user-friendly manual controls with advanced deep learning-based features to streamline analyses. With VASCilia, users can begin their analysis by loading image stacks. The software automatically preprocesses these samples and displays them in Napari. At this stage, users can select their desired range of z-slices, adjust their orientation, and initiate 3D instance segmentation. After segmentation, users can remove any undesired regions and obtain measurements including volume, centroids, and surface area. VASCilia introduces unique features that measures bundle heights, determines their orientation with respect to planar polarity axis, and quantifies the fluorescence intensity within each bundle. The plugin is also equipped with trained deep learning models that differentiate between inner hair cells and outer hair cells and predicts their tonotopic position within the cochlea spiral. Additionally, the plugin includes a training section that allows other laboratories to fine-tune our model with their own data, provides responsive mechanisms for manual corrections through event-handlers that check user actions, and allows users to share their analyses by uploading a pickle file containing all intermediate results. We believe this software will become a valuable resource for the cochlea research community, which has traditionally lacked specialized deep learning-based tools for obtaining high-throughput image quantitation. Furthermore, we plan to release our code along with a manually annotated dataset that includes approximately 55 3D stacks featuring instance segmentation. This dataset comprises a total of 1,870 instances of hair cells, distributed between 410 inner hair cells and 1,460 outer hair cells, all annotated in 3D. As the first open-source dataset of its kind, we aim to establish a foundational resource for constructing a comprehensive atlas of cochlea hair cell images. Together, this open-source tool will greatly accelerate the analysis of stereocilia bundles and demonstrates the power of deep learning-based algorithms for challenging segmentation tasks in biological imaging research. Ultimately, this initiative will support the development of foundational models adaptable to various species, markers, and imaging scales to advance and accelerate research within the cochlea research community.

Large-scale annotated dataset for cochlear hair cell detection and classification.

Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training. In this study, we present a large collection of annotated cochlear hair-cell datasets, labeled with commonly used hair-cell markers and imaged using various fluorescence microscopy techniques. The collection includes samples from mouse, rat, guinea pig, pig, primate, and human cochlear tissue, from normal conditions and following in-vivo and in-vitro ototoxic drug application. The dataset includes over 107,000 hair cells which have been identified and annotated as either inner or outer hair cells. This dataset is the result of a collaborative effort from multiple laboratories and has been carefully curated to represent a variety of imaging techniques. With suggested usage parameters and a well-described annotation procedure, this collection can facilitate the development of generalizable cochlear hair-cell detection models or serve as a starting point for fine-tuning models for other analysis tasks. By providing this dataset, we aim to give other hearing research groups the opportunity to develop their own tools with which to analyze cochlear imaging data more fully, accurately, and with greater ease.

Large-scale annotated dataset for cochlear hair cell detection and classification.

Our sense of hearing is mediated by cochlear hair cells, localized within the sensory epithelium called the organ of Corti. There are two types of hair cells in the cochlea, which are organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains a few thousands of hair cells, and their survival is essential for our perception of sound because they are terminally differentiated and do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. However, the sheer number of cells along the cochlea makes manual quantification impractical. Machine learning can be used to overcome this challenge by automating the quantification process but requires a vast and diverse dataset for effective training. In this study, we present a large collection of annotated cochlear hair-cell datasets, labeled with commonly used hair-cell markers and imaged using various fluorescence microscopy techniques. The collection includes samples from mouse, human, pig and guinea pig cochlear tissue, from normal conditions and following in-vivo and in-vitro ototoxic drug application. The dataset includes over 90'000 hair cells, all of which have been manually identified and annotated as one of two cell types: inner hair cells and outer hair cells. This dataset is the result of a collaborative effort from multiple laboratories and has been carefully curated to represent a variety of imaging techniques. With suggested usage parameters and a well-described annotation procedure, this collection can facilitate the development of generalizable cochlear hair cell detection models or serve as a starting point for fine-tuning models for other analysis tasks. By providing this dataset, we aim to supply other groups within the hearing research community with the opportunity to develop their own tools with which to analyze cochlear imaging data more fully, accurately, and with greater ease.

The hair cell analysis toolbox is a precise and fully automated pipeline for whole cochlea hair cell quantification.

Our sense of hearing is mediated by sensory hair cells, precisely arranged and highly specialized cells subdivided into outer hair cells (OHCs) and inner hair cells (IHCs). Light microscopy tools allow for imaging of auditory hair cells along the full length of the cochlea, often yielding more data than feasible to manually analyze. Currently, there are no widely applicable tools for fast, unsupervised, unbiased, and comprehensive image analysis of auditory hair cells that work well either with imaging datasets containing an entire cochlea or smaller sampled regions. Here, we present a highly accurate machine learning-based hair cell analysis toolbox (HCAT) for the comprehensive analysis of whole cochleae (or smaller regions of interest) across light microscopy imaging modalities and species. The HCAT is a software that automates common image analysis tasks such as counting hair cells, classifying them by subtype (IHCs versus OHCs), determining their best frequency based on their location along the cochlea, and generating cochleograms. These automated tools remove a considerable barrier in cochlear image analysis, allowing for faster, unbiased, and more comprehensive data analysis practices. Furthermore, HCAT can serve as a template for deep learning-based detection tasks in other types of biological tissue: With some training data, HCAT's core codebase can be trained to develop a custom deep learning detection model for any object on an image.

The efficacy of oral celecoxib for acute postoperative pain in face-lift surgery.

IMPORTANCE: Exploring methods of potentially improving patient comfort and pain control in cosmetic facial surgery. OBJECTIVE: To examine the effects of celecoxib in reducing pain and possible opioid consumption following face-lift surgery. DESIGN, SETTING, AND PARTICIPANTS: We reviewed the medical records of 100 patients: 50 consecutive patients who underwent a face-lift without receiving perioperative celecoxib and 50 patients who underwent face-lift and received immediate preoperative and standing postoperative celecoxib. MAIN OUTCOMES AND MEASURES: In addition to demographic information, the following outcome measures were recorded for each group: visual analog scale patient-reported pain, acetaminophen and/or opioid consumption rates, and related analgesic adverse effects. RESULTS: The participants in the noncelecoxib vs celecoxib groups had similar demographic characteristics: mean age, 59.6 vs 57.9 years; mean BMI, 23.3 vs 22.3; history of chronic pain or opioid use, 7 (14%) vs 6 (12%); and 94% of both groups were women. Postoperative pain scores were higher in the noncelecoxib vs celecoxib groups; mean (SD) overall pain score was 3.88 (2.20) vs 2.31 (2.36) (P < .001). The noncelecoxib group had a higher number of postoperative opioid doses than did the celecoxib group: 9.40 (4.30) vs 5.18 (4.58) (P < .05). The noncelecoxib group had a higher incidence of postoperative nausea and vomiting: 12 (24%) vs 0 in the celecoxib group. CONCLUSIONS AND RELEVANCE: Preemptive treatment with oral celecoxib appears to be effective in decreasing acute postoperative pain and opioid consumption in patients undergoing face-lift. Given the well-documented adverse effects of opioids, celecoxib is a desirable alternative. LEVEL OF EVIDENCE: 3.

Antidepressants and bleeding risk after face-lift surgery.

OBJECTIVE: To determine the rate of post-face-lift hematoma among users of serotonin reuptake inhibitors (SSRIs) vs non-SSRI users. Selective serotonin reuptake inhibitors have come under recent scrutiny because of possible bleeding risks. However, cessation of SSRIs carries inherent risks. METHODS: The medical charts for 250 consecutive patients who underwent a modified deep-plane face-lift and 13 patients who underwent neck-lift from January 2010 to May 2011 were reviewed for the incidence of postoperative hematoma. Patients' medical records were examined for medical comorbidities, coagulopathy, and medication list, with particular attention to any usage of SSRIs or serotonin norepinephrine reuptake inhibitors (SNRIs). RESULTS: Twenty-two percent of patients were taking SSRIs or SNRIs. We observed a total hematoma (major + minor) rate of 1.95% for non-SSRI/SNRI users vs 1.72% for SSRI/SNRI users. The minor hematoma rate was 1.95% among nonusers vs 0% for users. The major hematoma rate was 0% among nonusers vs 1.72% for users. CONCLUSIONS: Usage of SSRIs was more common in this large series of face-lift patients than in the general population. In these patients, SSRIs in the perioperative period are found to be safe and did not seem to adversely affect outcome. We found no evidence to support discontinuing SSRIs perioperatively.

Orbicularis suspension flap and its effect on lower eyelid position: a digital image analysis.

OBJECTIVE: To evaluate changes in lower eyelid position using digital image analysis in patients who have undergone an orbicularis suspension flap combined with blepharoplasty. METHODS: A total of 68 patients (136 eyes) underwent a lower eyelid orbicularis oculi suspension flap combined with blepharoplasty. Digital image analysis was used to standardize each patient's preoperative and postoperative photographs for accurate objective comparison. The photographs were analyzed for lower eyelid position. RESULTS: The mean (SD) preoperative standardized distance from the center of the pupil to the lower eyelid margin (MRD2) in all procedures was 5.53 (0.74) mm. The mean (SD) postoperative standardized MRD2 was 5.22 (1.0) mm. There was a statistically significant difference in MRD2 position such that the postoperative MRD2 position decreased or the lower eyelid position was elevated by an average of 0.31 mm in comparison to the preoperative position (P < .001). CONCLUSIONS: A well-performed suspension flap can elevate the lower eyelid position to a more natural and anatomically appropriate position. By resuspending the ptotic orbicularis muscle, the suspension flap also reinforces the underlying attenuated orbital septum. Such cases may not achieve the optimum level of rejuvenation if isolated lower eyelid blepharoplasty is performed.

Methicillin-resistant Staphylococcus aureus--positive surgical site infections in face-lift surgery.

OBJECTIVES: To determine the incidence of methicillin-resistant Staphylococcus aureus (MRSA)-positive surgical site infections after face-lift surgery and to discuss the screening, prevention, and treatment of such infections. METHODS: The patient charts of 780 patients who underwent a deep-plane rhytidectomy between 2001 and 2007 were reviewed for postoperative wound infections. Culture results and sensitivities were recorded. To our knowledge, this is the first study that documents MRSA-positive surgical site infections after face-lift surgery. RESULTS: Five of 780 patients (0.6%) who underwent face-lift surgery by the senior surgeon had postoperative surgical site infections. Four of the 5 patients had cultures that were positive for MRSA. Two of these patients (0.3%) required hospitalization and had collections that had to be opened or drained and developed wound breakdown. Both patients eventually responded to wound care along with intravenous and then oral antibiotic therapy. The other 2 MRSA-infected patients responded to oral antibiotic therapy and local wound care alone. The 2 complicated infections occurred on postoperative days 5 and 8. These 2 patients were the only ones among the 5 patients with positive cultures who had known recent contact with another physician or a hospital. All infections occurred in the year 2006, with 3 patients experiencing infection in the last 4 months of the year. Herein, we describe the incidence and sequelae of MRSA infections and colonization. The 2 major different subsets of MRSA are community-acquired MRSA and health care-associated MRSA. Surgical site infections that are positive for MRSA blur this division, which affects many aspects of the course of disease and treatment. We also discuss strategies for screening, preventing, and treating MRSA surgical site infections. CONCLUSIONS: Methicillin-resistant S aureus-positive surgical site infection is an increasingly problematic issue in all surgical fields. In the future, MRSA-positive infections will be more prevalent and will require well-developed screening, prevention, and treatment strategies.

Prevention of lower eyelid malposition after blepharoplasty: anatomic and technical considerations of the inside-out blepharoplasty.

OBJECTIVE: To determine the position of the lower eyelid and lateral canthus after release of the lower eyelid retractors with the "inside-out technique" by measuring the marginal reflex distance 2 (MRD2) and using the lateral canthal rounding scale. DESIGN: Retrospective analysis. RESULTS: Of the 171 patients who underwent inside-out blepharoplasty, 78 were followed up for 3 months. Preoperative MRD2 was 0.942 pixels. Postoperatively, the modified MRD2 was 0.903. Although the score of the modified MRD2 was found to decrease postoperatively, the decrease was not statistically significant (P < .07). The lateral rounding scale reviewed an average preoperative score of 2.04 and a postoperative score of 1.99. There was no statistical difference between pre- and postoperative observations based on a 1-tailed t test. No complications were reported. CONCLUSION: Using photographic analysis, the study found no difference in lateral canthal shape or MRD2 before and after surgery in patients who underwent inside-out blepharoplasty.

Unmasking procedures following a chemical attack: a critical review with recommendations.

U.S. Marine Corp and Army doctrine specifies a process for troops to remove the field protective mask in the aftermath of a chemical weapon attack. At the company/battery level, this procedure culminates in exposure of the respiratory system of selected troops to potential gas vapor. Commanders in the field rely on front-line corpsman and medics to provide lifesaving first aid in the event that toxic exposures take place. After this initial stabilization, casualties would be evacuated to an Echelon I medical facility, typically a Battalion Aid Station. The current tactical unmasking procedure, as specified in doctrine, is critically analyzed from a field medical perspective. Easy to implement recommendations are made, both to prevent lethal exposures and to better treat toxicity should prevention fail.