SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.

INTRODUCTION: The stria vascularis (SV) may have a significant role in various otologic pathologies. Currently, researchers manually segment and analyze the stria vascularis to measure structural atrophy. Our group developed a tool, SVPath, that uses deep learning to extract and analyze the stria vascularis and its associated capillary bed from whole temporal bone histopathology slides (TBS). METHODS: This study used an internal dataset of 203 digitized hematoxylin and eosin-stained sections from a normal macaque ear and a separate external validation set of 10 sections from another normal macaque ear. SVPath employed deep learning methods YOLOv8 and nnUnet to detect and segment the SV features from TBS, respectively. The results from this process were analyzed with the SV Analysis Tool (SVAT) to measure SV capillaries and features related to SV morphology, including width, area, and cell count. Once the model was developed, both YOLOv8 and nnUnet were validated on external and internal datasets. RESULTS: YOLOv8 implementation achieved over 90% accuracy for cochlea and SV detection. nnUnet SV segmentation achieved a DICE score of 0.84-0.95; the capillary bed DICE score was 0.75-0.88. SVAT was applied to compare both the ears used in the study. There was no statistical difference in SV width, SV area, and average area of capillary between the two ears. There was a statistical difference between the two ears for the cell count per SV. CONCLUSION: The proposed method accurately and efficiently analyzes the SV from temporal histopathology bone slides, creating a platform for researchers to understand the function of the SV further.

A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery.

OBJECTIVE: Obtaining automated, objective 3-dimensional (3D) models of the Eustachian tube (ET) and the internal carotid artery (ICA) from computed tomography (CT) scans could provide useful navigational and diagnostic information for ET pathologies and interventions. We aim to develop a deep learning (DL) pipeline to automatically segment the ET and ICA and use these segmentations to compute distances between these structures. STUDY DESIGN: Retrospective cohort. SETTING: Tertiary referral center. METHODS: From a database of 30 CT scans, 60 ET and ICA pairs were manually segmented and used to train an nnU-Net model, a DL segmentation framework. These segmentations were also used to develop a quantitative tool to capture the magnitude and location of the minimum distance point (MDP) between ET and ICA. Performance metrics for the nnU-Net automated segmentations were calculated via the average Hausdorff distance (AHD) and dice similarity coefficient (DSC). RESULTS: The AHD for the ET and ICA were 0.922 and 0.246 mm, respectively. Similarly, the DSC values for the ET and ICA were 0.578 and 0.884. The mean MDP from ET to ICA in the cartilaginous region was 2.6 mm (0.7-5.3 mm) and was located on average 1.9 mm caudal from the bony cartilaginous junction. CONCLUSION: This study describes the first end-to-end DL pipeline for automated ET and ICA segmentation and analyzes distances between these structures. In addition to helping to ensure the safe selection of patients for ET dilation, this method can facilitate large-scale studies exploring the relationship between ET pathologies and the 3D shape of the ET.

Tremor Assessment in Robot-Assisted Microlaryngeal Surgery Using Computer Vision-Based Tool Tracking.

OBJECTIVE: Use microscopic video-based tracking of laryngeal surgical instruments to investigate the effect of robot assistance on instrument tremor. STUDY DESIGN: Experimental trial. SETTING: Tertiary Academic Medical Center. METHODS: In this randomized cross-over trial, 36 videos were recorded from 6 surgeons performing left and right cordectomies on cadaveric pig larynges. These recordings captured 3 distinct conditions: without robotic assistance, with robot-assisted scissors, and with robot-assisted graspers. To assess tool tremor, we employed computer vision-based algorithms for tracking surgical tools. Absolute tremor bandpower and normalized path length were utilized as quantitative measures. Wilcoxon rank sum exact tests were employed for statistical analyses and comparisons between trials. Additionally, surveys were administered to assess the perceived ease of use of the robotic system. RESULTS: Absolute tremor bandpower showed a significant decrease when using robot-assisted instruments compared to freehand instruments (P = .012). Normalized path length significantly decreased with robot-assisted compared to freehand trials (P = .001). For the scissors, robot-assisted trials resulted in a significant decrease in absolute tremor bandpower (P = .002) and normalized path length (P < .001). For the graspers, there was no significant difference in absolute tremor bandpower (P = .4), but there was a significantly lower normalized path length in the robot-assisted trials (P = .03). CONCLUSION: This study demonstrated that computer-vision-based approaches can be used to assess tool motion in simulated microlaryngeal procedures. The results suggest that robot assistance is capable of reducing instrument tremor.

Fully immersive virtual reality for skull-base surgery: surgical training and beyond.

PURPOSE: A virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully digitized virtual surgeries can also be used to assess the surgeon's skills using measurements that are otherwise hard to collect in reality. Thus, we present the Fully Immersive Virtual Reality System (FIVRS) for skull-base surgery, which combines surgical simulation software with a high-fidelity hardware setup. METHODS: FIVRS allows surgeons to follow normal clinical workflows inside the VR environment. FIVRS uses advanced rendering designs and drilling algorithms for realistic bone ablation. A head-mounted display with ergonomics similar to that of surgical microscopes is used to improve immersiveness. Extensive multi-modal data are recorded for post-analysis, including eye gaze, motion, force, and video of the surgery. A user-friendly interface is also designed to ease the learning curve of using FIVRS. RESULTS: We present results from a user study involving surgeons with various levels of expertise. The preliminary data recorded by FIVRS differentiate between participants with different levels of expertise, promising future research on automatic skill assessment. Furthermore, informal feedback from the study participants about the system's intuitiveness and immersiveness was positive. CONCLUSION: We present FIVRS, a fully immersive VR system for skull-base surgery. FIVRS features a realistic software simulation coupled with modern hardware for improved realism. The system is completely open source and provides feature-rich data in an industry-standard format.

Longitudinal Performance of Cochlear Implants in Neurofibromatosis Type 2.

OBJECTIVE: Cochlear implants (CIs) are a well-established treatment modality for hearing loss due to neurofibromatosis type 2 (NF2). Our aim is to investigate variables that affect longitudinal performance of CIs among patients with NF2. STUDY DESIGN: Retrospective review at a single academic institution consisting of patients who have received cochlear implants following hearing loss due to NF2. METHODS: The primary outcome examined was CI disuse or explantation. Associated clinical and surgical variables were analyzed using descriptive statistics. These included postoperative pure tone average (PTA) at 500, 1000, and 2000 Hz, tumor size, previous surgery, and comorbid depression. RESULTS: A total of 12 patients and 14 cochlear implants received at our institution from 2001 to 2022 were included. Notably, 35.7% of CIs (5 out of 14 cases) resulted in disuse or explantation. The average interval until explant was 9.4 years (range 3-14 years). In explanted CI cases, 20% had previous surgery and 80% had a diagnosis of comorbid depression as compared to 22.2% and 22.2%, respectively, in intact CI cases. Maximum tumor diameter was the only variable found to impact CI usage outcome (p = 0.028). Long-term data showed that on average, patients benefit from 13.85 years of CI utility and a maximum PTA improvement of 45.0 ± 29.0 dB. CONCLUSION: Despite the recurrent nature of NF2, patients continue to receive audiological benefit from cochlear implants. We found that larger tumor size may be associated with longitudinal CI failure. LEVEL OF EVIDENCE: 4 Laryngoscope, 134:1847-1853, 2024.

Cochlear Implant Electrode Array Design and Speech Understanding.

OBJECTIVE: Cochlear implant electrode arrays are categorized based on their design as lateral wall (LW) and perimodiolar (PM) electrode arrays. The objective of this study was to investigate the effect of LW versus PM designs on postoperative speech perception across multiple manufacturers and over long follow-up durations. DESIGN: Retrospective cohort study. SETTING: Single academic medical center. PARTICIPANTS: A total of 478 adult cochlear implant recipients, implanted between the years 1992 and 2017. INTERVENTIONSS: PM versus LW cochlear implants. MAIN OUTCOMES AND MEASURES: Postoperative Consonant-Nucleus-Consonant Word (CNC-w) and Hearing in Noise Test (HINT) scores between 6 months and 5 years. RESULTS: Across 478 patients, approximately one-third received LW (n = 176, 36.8%), whereas 302 patients received a PM array (63.2%). The PM group had higher CNC-w scores from 6 months to 2 years (52 [interquartile range, 38-68] versus 48 [31-62], p = 0.036) and from 2 to 5 years (58 [43-72] versus 48 [33-66], p < 0.001). Multivariable analysis of patient-averaged scores indicated that the PM group had greater improvement from preoperative scores at all time points after the initial 6 months for both CNC-w ( ß = 4.4 [95% confidence interval, 0.6-8.3], p = 0.023) and HINT testing ( ß = 4.5 [95% confidence interval, 0.3-8.7], p = 0.038). CONCLUSIONS: This study indicates that PM electrode arrays are associated with small increases in postoperative speech perception scores, relative to LW arrays, when assessed across manufacturers, over long time durations, and using multiple outcome instruments. These findings may help guide surgeon selection and patient counseling of cochlear implant arrays.

TAToo: vision-based joint tracking of anatomy and tool for skull-base surgery.

PURPOSE: Tracking the 3D motion of the surgical tool and the patient anatomy is a fundamental requirement for computer-assisted skull-base surgery. The estimated motion can be used both for intra-operative guidance and for downstream skill analysis. Recovering such motion solely from surgical videos is desirable, as it is compliant with current clinical workflows and instrumentation. METHODS: We present Tracker of Anatomy and Tool (TAToo). TAToo jointly tracks the rigid 3D motion of the patient skull and surgical drill from stereo microscopic videos. TAToo estimates motion via an iterative optimization process in an end-to-end differentiable form. For robust tracking performance, TAToo adopts a probabilistic formulation and enforces geometric constraints on the object level. RESULTS: We validate TAToo on both simulation data, where ground truth motion is available, as well as on anthropomorphic phantom data, where optical tracking provides a strong baseline. We report sub-millimeter and millimeter inter-frame tracking accuracy for skull and drill, respectively, with rotation errors below [Formula: see text]. We further illustrate how TAToo may be used in a surgical navigation setting. CONCLUSIONS: We present TAToo, which simultaneously tracks the surgical tool and the patient anatomy in skull-base surgery. TAToo directly predicts the motion from surgical videos, without the need of any markers. Our results show that the performance of TAToo compares favorably to competing approaches. Future work will include fine-tuning of our depth network to reach a 1 mm clinical accuracy goal desired for surgical applications in the skull base.

Twin-S: a digital twin for skull base surgery.

PURPOSE: Digital twins are virtual replicas of real-world objects and processes, and they have potential applications in the field of surgical procedures, such as enhancing situational awareness. We introduce Twin-S, a digital twin framework designed specifically for skull base surgeries. METHODS: Twin-S is a novel framework that combines high-precision optical tracking and real-time simulation, making it possible to integrate it into image-guided interventions. To guarantee accurate representation, Twin-S employs calibration routines to ensure that the virtual model precisely reflects all real-world processes. Twin-S models and tracks key elements of skull base surgery, including surgical tools, patient anatomy, and surgical cameras. Importantly, Twin-S mirrors real-world drilling and updates the virtual model at frame rate of 28. RESULTS: Our evaluation of Twin-S demonstrates its accuracy, with an average error of 1.39 mm during the drilling process. Our study also highlights the benefits of Twin-S, such as its ability to provide augmented surgical views derived from the continuously updated virtual model, thus offering additional situational awareness to the surgeon. CONCLUSION: We present Twin-S, a digital twin environment for skull base surgery. Twin-S captures the real-world surgical progresses and updates the virtual model in real time through the use of modern tracking technologies. Future research that integrates vision-based techniques could further increase the accuracy of Twin-S.

A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy.

PURPOSE: Robotic assistance in otologic surgery can reduce the task load of operating surgeons during the removal of bone around the critical structures in the lateral skull base. However, safe deployment into the anatomical passageways necessitates the development of advanced sensing capabilities to actively limit the interaction forces between the surgical tools and critical anatomy. METHODS: We introduce a surgical drill equipped with a force sensor that is capable of measuring accurate tool-tissue interaction forces to enable force control and feedback to surgeons. The design, calibration and validation of the force-sensing surgical drill mounted on a cooperatively controlled surgical robot are described in this work. RESULTS: The force measurements on the tip of the surgical drill are validated with raw-egg drilling experiments, where a force sensor mounted below the egg serves as ground truth. The average root mean square error for points and path drilling experiments is 41.7 (± 12.2) mN and 48.3 (± 13.7) mN, respectively. CONCLUSION: The force-sensing prototype measures forces with sub-millinewton resolution and the results demonstrate that the calibrated force-sensing drill generates accurate force measurements with minimal error compared to the measured drill forces. The development of such sensing capabilities is crucial for the safe use of robotic systems in a clinical context.

Cochlear Implant Revisions Over Three Decades of Experience.

IMPORTANCE: The indications, technology, and surgical technique for cochlear implantation have evolved over the last three decades. Understanding the risk of cochlear implant revision (CIR) is important for patient counseling. OBJECTIVE: The objective of this study was to analyze the rates, indications, and audiologic outcomes for CIR over three decades of experience at a single academic medical center. DESIGN: A retrospective chart review was performed at a single academic medical center for individuals who underwent cochlear implantation between 1985 and 2022. SETTING: Single academic medical center. PARTICIPANTS: Three thousand twenty-five individuals who underwent 3,934 cochlear implant operations from 1985 to 2022. EXPOSURE: Cochlear implantation. MAIN OUTCOMES AND MEASURES: Rates, indications, risk factors, and audiologic outcomes for CIR. RESULTS: There were 276 cases of CIR after primary implantation and an overall revision rate of 7.6% (95% confidence interval, 6.8-8.5%) over 37 years of follow-up with many cases of CIR secondary to Advanced Bionics vendor B and field action failure groups. CIR rates increased sharply through the early and mid-2000s and have since remained stable. Hard or soft device failure was the most common indication for CIR, accounting for 73% of cases. Pediatric patient status and previous CIR were associated with an increased risk of CIR. Audiologic outcomes after CIR were similar to those before device failure. CONCLUSIONS AND RELEVANCE: CIR remains a common procedure most often performed for device failure. Pediatric patients and those who have undergone previous CIR are at the highest risk for future CIR. Audiologic outcomes remain stable after CIR, and these data will help providers counsel patients at the risk of future CIR and understand the risk factors associated with CIR.

Outcomes after revision of Advanced Bionics Clarion 1.2 cochlear implants.

INTRODUCTION: Cochlear implant reimplantation (CIR) for external processor upgrade or device failure is becoming increasingly common as the population of cochlear implant recipients ages. Patients with Advanced Bionics (AB) Clarion 1.2 cochlear implants may undergo CIR for device age/failure or desired technology upgrade so that they may use newer external processors that have improved connectivity features. The objective of this study was to evaluate audiologic outcomes for patients who were initially implanted with an AB Clarion 1.2 internal device and underwent CIR for technology upgrade or device failure. METHODS: Retrospective chart review was performed at a single academic medical center for patients (pediatric and adult) with an AB Clarion 1.2 internal device who underwent CIR to a later generation AB internal device and had available audiologic data. RESULTS: Forty-eight individuals with a Clarion 1.2 implant underwent CIR. Pre- and post-CIR speech understanding did not change for AzBio (p-value = 0.11, mean change = 12.1%, 95% CI = -2.9-27.2%), CNCw (p-value = 0.74, mean change = -1%, 95% CI = -10.4-12.4%), or HINT (p-value = 0.12, mean change = 19.9%, 95% CI = -2.6-42.4%) scores. Pure-tone averages improved following CIR (p-value < 0.01, mean change = 4.3 dB, 95% CI = 1.5-7.1 dB). CONCLUSIONS: Revision of AB Clarion 1.2 cochlear implants does not significantly worsen audiologic outcomes and may improve hearing in some individuals, but individual patient-level outcomes are variable.

Trends in Timing and Provision of Pediatric Cochlear Implant Care During COVID-19.

Objectives: To identify trends in timing of pediatric cochlear implant (CI) care during COVID-19. Study Design: Retrospective cohort. Setting: Tertiary care center. Methods: Patients under 18 years of age who underwent CI between 1/1/2016 and 2/29/2020 were included in the pre-COVID-19 group, and patients implanted between 3/1/2020 and 12/31/2021 comprised the COVID-19 group. Revision and sequential surgeries were excluded. Time intervals between care milestones including severe-to-profound hearing loss diagnosis, initial CI candidacy evaluation, and surgery were compared among groups, as were the number and type of postoperative visits. Results: A total of 98 patients met criteria; 70 were implanted pre-COVID-19 and 28 during COVID-19. A significant increase in the interval between CI candidacy evaluation and surgery was seen among patients with prelingual deafness during COVID-19 compared with pre-COVID-19 (µ = 47.3 weeks, 95% confidence interval [CI]: 34.8-59.9 vs µ = 20.5 weeks, 95% CI: 13.1-27.9; p < .001). Patients in the COVID-19 group attended fewer in-person rehabilitation visits in the 12 months after surgery (µ = 14.9 visits, 95% CI: 9.7-20.1 vs µ = 20.9, 95% CI: 18.1-23.7; p = .04). Average age at implantation in the COVID-19 group was 5.7 years (95% CI: 4.0-7.5) versus 3.7 years in the pre-COVID-19 group (95% CI: 2.9-4.6; p = .05). The time interval between hearing loss confirmation and CI surgery was on average 99.7 weeks for patients implanted during COVID-19 (95% CI: 48.8-150) versus 54.2 weeks for patients implanted pre-COVID (95% CI: 39.6-68.8), which was not a statistically significant difference (p = .1). Conclusion: During the COVID-19 pandemic patients with prelingual deafness experienced delays in care relative to patients implanted before the pandemic.

A Self-Configuring Deep Learning Network for Segmentation of Temporal Bone Anatomy in Cone-Beam CT Imaging.

OBJECTIVE: Preoperative planning for otologic or neurotologic procedures often requires manual segmentation of relevant structures, which can be tedious and time-consuming. Automated methods for segmenting multiple geometrically complex structures can not only streamline preoperative planning but also augment minimally invasive and/or robot-assisted procedures in this space. This study evaluates a state-of-the-art deep learning pipeline for semantic segmentation of temporal bone anatomy. STUDY DESIGN: A descriptive study of a segmentation network. SETTING: Academic institution. METHODS: A total of 15 high-resolution cone-beam temporal bone computed tomography (CT) data sets were included in this study. All images were co-registered, with relevant anatomical structures (eg, ossicles, inner ear, facial nerve, chorda tympani, bony labyrinth) manually segmented. Predicted segmentations from no new U-Net (nnU-Net), an open-source 3-dimensional semantic segmentation neural network, were compared against ground-truth segmentations using modified Hausdorff distances (mHD) and Dice scores. RESULTS: Fivefold cross-validation with nnU-Net between predicted and ground-truth labels were as follows: malleus (mHD: 0.044 ± 0.024 mm, dice: 0.914 ± 0.035), incus (mHD: 0.051 ± 0.027 mm, dice: 0.916 ± 0.034), stapes (mHD: 0.147 ± 0.113 mm, dice: 0.560 ± 0.106), bony labyrinth (mHD: 0.038 ± 0.031 mm, dice: 0.952 ± 0.017), and facial nerve (mHD: 0.139 ± 0.072 mm, dice: 0.862 ± 0.039). Comparison against atlas-based segmentation propagation showed significantly higher Dice scores for all structures (p < .05). CONCLUSION: Using an open-source deep learning pipeline, we demonstrate consistently submillimeter accuracy for semantic CT segmentation of temporal bone anatomy compared to hand-segmented labels. This pipeline has the potential to greatly improve preoperative planning workflows for a variety of otologic and neurotologic procedures and augment existing image guidance and robot-assisted systems for the temporal bone.

Augmented Reality in Otology/Neurotology: A Scoping Review with Implications for Practice and Education.

OBJECTIVE: To determine how augmented reality (AR) has been applied to the field of otology/neurotology, examine trends and gaps in research, and provide an assessment of the future potential of this technology within surgical practice and education. DATA SOURCES: PubMed, EMBASE, and Cochrane Library were assessed from their inceptions through October 2022. A manual bibliography search was also conducted. REVIEW METHODS: A scoping review was conducted and reported according to PRISMA-ScR guidelines. Data from studies describing the application of AR to the field of otology/neurotology were evaluated, according to a priori inclusion/exclusion criteria. Exclusion criteria included non-English language articles, abstracts, letters/commentaries, conference papers, and review articles. RESULTS: Eighteen articles covering a diverse range of AR platforms were included. Publication dates spanned from 2007 to 2022 and the rate of publication increased over this time. Six of 18 studies were case series in human patients although the remaining were proof of concepts in cadaveric/artificial/animal models. The most common application of AR was for surgical navigation (14 of 18 studies). Computed tomography was the most common source of input data. Few studies noted potential applications to surgical training. CONCLUSION: Interest in the application of AR to otology/neurotology is growing based on the number of recent publications that use a broad range of hardware, software, and AR platforms. Large gaps in research such as the need for submillimeter registration error must be addressed prior to adoption in the operating room and for educational purposes. LEVEL OF EVIDENCE: N/A Laryngoscope, 133:1786-1795, 2023.

Resection of Condylar Skull Base Tumor via Combined Far Lateral and Infrajugular Approaches with Single-Stage Occipitocervical Fusion.

Epithelioid hemangioma is a rare vascular mesenchymal tumor with a paucity of reports of cranial involvement. In particular, guidance on treatment for lateral skull base lesions is lacking, despite this being a highly technically challenging location. Nuances in the management decisions for this tumor type are discussed. Two major challenges with this location are proximity to critical neurovascular structures and managing secondary craniocervical instability. We present a patient with a lateral skull base epithelioid hemangioma treated with transcondylar resection, single-stage occipitocervical fusion, and adjuvant radiation and chemotherapy. The patient consented to both the procedure and the published report of her case including imaging. Obtaining tissue was necessary for diagnosis. Maximal safe resection, resection of a tumor such that the greatest clinical benefit is achieved with the minimum risk, was favored given the location and vascularity of the lesion. Occipitocervical fusion was recommended given ongoing bony destruction by the tumor and further expected iatrogenic instability upon resection. This was performed as a single stage given expected need for postoperative adjuvant radiation therapy and dynamic neck pain (Video 1). Surgical planning and decision making are detailed, including rationale and potential risks and benefits. We discuss positioning, equipment needs, and the importance of a multidisciplinary surgical team. Park bench positioning was used for part 1, left-sided extended far lateral and infratemporal fossa presigmoid approaches. For part 2, occipitocervical fusion, the patient was transitioned to prone position. The anatomy is highlighted in labeled pictures of the approach and dissection, and surgical video is presented for key surgical steps. Preoperative and postoperative imaging is analyzed. A desirable clinical outcome was obtained.

The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review.

OBJECTIVE: To provide a comprehensive overview on the applications of artificial intelligence (AI) in rhinology, highlight its limitations, and propose strategies for its integration into surgical practice. DATA SOURCES: Medline, Embase, CENTRAL, Ei Compendex, IEEE, and Web of Science. REVIEW METHODS: English studies from inception until January 2022 and those focusing on any application of AI in rhinology were included. Study selection was independently performed by 2 authors; discrepancies were resolved by the senior author. Studies were categorized by rhinology theme, and data collection comprised type of AI utilized, sample size, and outcomes, including accuracy and precision among others. CONCLUSIONS: An overall 5435 articles were identified. Following abstract and title screening, 130 articles underwent full-text review, and 59 articles were selected for analysis. Eleven studies were from the gray literature. Articles were stratified into image processing, segmentation, and diagnostics (n = 27); rhinosinusitis classification (n = 14); treatment and disease outcome prediction (n = 8); optimizing surgical navigation and phase assessment (n = 3); robotic surgery (n = 2); olfactory dysfunction (n = 2); and diagnosis of allergic rhinitis (n = 3). Most AI studies were published from 2016 onward (n = 45). IMPLICATIONS FOR PRACTICE: This state of the art review aimed to highlight the increasing applications of AI in rhinology. Next steps will entail multidisciplinary collaboration to ensure data integrity, ongoing validation of AI algorithms, and integration into clinical practice. Future research should be tailored at the interplay of AI with robotics and surgical education.

Policies and Price Tags: The Public's Perception of Face Transplantation and Its Funding.

Study Design: Survey study. Objective: Facial vascularized composite allotransplantation (FVCA) can cost over 1 million dollars per procedure and is usually not covered by insurance, yet this financial burden and public opinion surrounding this procedure are not well understood. This study is the first to evaluate the layperson's opinions on the allocation of financial responsibility for FVCA and its inclusion in organ donation registries. Methods: Eight hundred and fifteen laypersons were surveyed through MTurk to assess their agreement with 11 statements about FVCA perceptions, funding, and inclusion on organ donation registries. Responses were analyzed with the Wilcoxon Signed-Rank test, the Kruskal-Wallis test, and the Dunn's test. Results: The majority of respondents were supportive of FVCA in 10 out of 11 statements (P < 0.0001). They would be willing to undergo FVCA if they suffered from facial disfigurement; believe FVCA is as important as other organ transplants; believe faces should be included on the organ donation registry; support insurance companies providing coverage for FVCA regardless of trauma etiology; support tax dollars funding the procedure; and believe FVCA improves physical appearance and quality of life. Although respondents generally supported their tax dollars funding the procedure, fewer supported this for self-inflicted trauma (P > 0.01). Conclusions: This study highlights a disconnect between public preference for insurance coverage of FVCA and current lack of coverage in practice. Respondents' acceptance of including faces in organ donation registries may help alleviate the issue of locating a donor, and increasing financial coverage may broaden this procedure's accessibility to a wider range of individuals.

Are Speech Perception Scores in Cochlear Implant Recipients Consistent Across Different Tests?

OBJECTIVE: Cochlear implant (CI) candidacy and postoperative outcomes are assessed using sets of speech perception tests that vary from center to center, limiting comparisons across institutions and time periods. The objective of this study was to determine if scores on one speech perception test could be reliably predicted from scores on another test. STUDY DESIGN: Arizona Biomedical (AzBio) Sentence Test, Consonant-Nucleus-Consonant word (CNCw), and Hearing in Noise Test (HINT) scores in quiet for the implanted ear were collected for individuals who received a CI between 1985 and 2019. Scores collected during the same testing session were analyzed using Bland-Altman plots to assess agreement between testing methods. Simple linear regression with logit transformation was used to generate predictive functions and 95% confidence intervals for expected mean and individual scores. SETTING: Single academic medical center. PATIENTS: A total of 1,437 individuals with a median age of 59.9 years (range, 18-95 yr) and 46% (654 of 1,437) male. INTERVENTIONS: N.A. MAIN OUTCOME MEASURES: Agreement as a function of test score, mean, variance, and correlation coefficients. RESULTS: A total of 2,052 AzBio/CNCw, 525 AzBio/HINT, and 7,187 CNCw/HINT same-session score pairings were identified. Pairwise test comparisons demonstrated limited agreement between different tests performed in the same session, and a score correlation between different speech tests revealed large variances. CONCLUSION: Transformation functions between test batteries were predictive of mean scores but performed poorly for prediction of individual scores. Point-wise comparisons of scores across CI test batteries should be used with caution in clinical and research settings.

Anatomical Variations of the Jugular Foramen Region in Patients with Pulsatile Tinnitus.

Objective Structural anomalies of the jugular foramen (JF) and adjacent structures may contribute to development of pulsatile tinnitus (PT). The goal of this study was to assess anatomical variants in the ipsilateral JF region in patients with PT and to explore possible predisposing factors for PT. Methods One hundred ninety-five patients with PT who underwent CT angiography and venography of the temporal bone were retrospectively analyzed. Anatomic variants including dominance of the ipsilateral JF, bony deficiency of the sigmoid sinus and internal carotid artery canal, high riding or dehiscent jugular bulb, dehiscence of the superior semicircular canal, tumors in the JF region, or cerebellopontine angle were assessed. Results Of 195 patients with PT, the prevalence of a dominant JF on the ipsilateral side of patients with PT was 67.2%. Furthermore, the dominant JF demonstrated a significant correlation with the presence of ipsilateral PT ( p < 0.001). No anatomical variants were present in 22 patients (11.3%), whereas in patients with structural variants, bony deficiency of the sigmoid sinus was most common (65.6%), followed by high riding (54.9%) or dehiscent jugular bulb (14.4%). Dehiscent internal carotid artery canal (3.1%) and superior semicircular canal (4.1%) were occasionally identified, while arteriovenous fistula, arterial aneurysm and tumors arising from the JF region or cerebellopontine angle were rarely encountered. Conclusion Structural abnormalities of the JF and adjacent structures may predispose to the development of PT. Knowledge of these anatomical variants in the JF region may help establish a clinical strategy for addressing PT.

Statistical Shape Model of the Temporal Bone Using Segmentation Propagation.

HYPOTHESIS: Automated image registration techniques can successfully determine anatomical variation in human temporal bones with statistical shape modeling. BACKGROUND: There is a lack of knowledge about inter-patient anatomical variation in the temporal bone. Statistical shape models (SSMs) provide a powerful method for quantifying variation of anatomical structures in medical images but are time-intensive to manually develop. This study presents SSMs of temporal bone anatomy using automated image-registration techniques. METHODS: Fifty-three cone-beam temporal bone CTs were included for SSM generation. The malleus, incus, stapes, bony labyrinth, and facial nerve were automatically segmented using 3D Slicer and a template-based segmentation propagation technique. Segmentations were then used to construct SSMs using MATLAB. The first three principal components of each SSM were analyzed to describe shape variation. RESULTS: Principal component analysis of middle and inner ear structures revealed novel modes of anatomical variation. The first three principal components for the malleus represented variability in manubrium length (mean: 4.47 mm; ±2-SDs: 4.03-5.03 mm) and rotation about its long axis (±2-SDs: -1.6° to 1.8° posteriorly). The facial nerve exhibits variability in first and second genu angles. The bony labyrinth varies in the angle between the posterior and superior canals (mean: 88.9°; ±2-SDs: 83.7°-95.7°) and cochlear orientation (±2-SDs: -4.0° to 3.0° anterolaterally). CONCLUSIONS: SSMs of temporal bone anatomy can inform surgeons on clinically relevant inter-patient variability. Anatomical variation elucidated by these models can provide novel insight into function and pathophysiology. These models also allow further investigation of anatomical variation based on age, BMI, sex, and geographical location.