A Novel Surgical Landmark to Identify the Recurrent Laryngeal Nerve

Background: Although several surgical landmarks have been proposed to localize the recurrent laryngeal nerve (RLN), there is still no reliable landmark. Aims: To validate the reliability of a novel reference point at the intersection of the inferior border of the cricopharyngeal muscle and the inferior cornu of thyroid cartilage for locating the RLN. Study Design: Cadaver dissection study in the academic department of otolaryngology-head and neck surgery. Methods: Sixty-four RLNs in cadavers were assessed, and measurements of different surgical landmarks in conjunction with the proposed surgical landmark were obtained. Descriptive statistics, Pearson's chi-squared test, and Student's t-test were performed to analyze the data using GraphPad Prism (version 9.4.1; Dotmatics, Boston, Massachusetts, USA). Results: The average distance from the proposed landmark to the RLN was 2.3 ± 0.85 mm. The RLN was located just posterior to the reference point in 95.31% of the cadavers. The RLN passed under the inferior constrictor muscle in 90.63% of the cadavers. There was no statistically significant difference between right- and left-sided RLNs in terms of their relation with the reference point. Conclusion: The proposed reference point can be used as a reliable landmark to locate the RLN. This reference point may help surgeons during difficult thyroidectomy surgeries by providing an additional anatomical landmark.

Effect of gold laser energy delivery on postoperative adenotonsillectomy complications.

BACKGROUND: This study aimed to determine if the energy delivered by the Gold laser impacted postoperative complication rates after adenoidectomy, tonsillectomy, or adenotonsillectomy. METHODS: A retrospective chart review identified 420 patients who met the criteria within the last five years. Indications for the surgeries included recurrent tonsillitis, obstructive sleep apnea, sleep-disordered breathing, adenoiditis, peritonsillar abscess, and other indications. The relationship between the energy delivered (kJ) and various complications such as bleeding, pain, dehydration, readmission, emergency center visits, and clinic calls was evaluated. RESULTS: There was a significant correlation between higher kJ delivered and the incidence of major bleeding requiring cauterization in the operating room (p = 0.0311). In addition, emergency center visits (p = 0.0131) and readmission (p = 0.0210) showed a significant correlation with the amount of energy (kJ) delivered. Furthermore, higher energy correlated to higher maximum post-operative pain scores (p = 0.0302). Attendings displayed a different pattern of energy delivery compared to residents (p < 0.0001), which also differed by PGY (p < 0.0001). CONCLUSION: There are significant correlations between higher energy delivered in kJ using the Gold laser and less desirable post-operative results. In addition, residents tend to utilize higher energy levels than attendings, but this trend tapers off in the 4th and 5th years. Clinicians utilizing the Gold laser during these procedures should be mindful of the amount of kJ they use.

A Feasibility Study of Remote Non-Contact Vital Signs (NCVS) Monitoring in a Clinic Using a Novel Sensor Realized by Software-Defined Radio (SDR).

The COVID-19 outbreak has caused panic around the world as it is highly infectious and has caused about 5 million deaths globally. A robust wireless non-contact vital signs (NCVS) sensor system that can continuously monitor the respiration rate (RR) and heart rate (HR) of patients clinically and remotely with high accuracy can be very attractive to healthcare workers (HCWs), as such a system can not only avoid HCWs' close contact with people with COVID-19 to reduce the infection rate, but also be used on patients quarantined at home for telemedicine and wireless acute-care. Therefore, we developed a custom Doppler-based NCVS radar sensor system operating at 2.4 GHz using a software-defined radio (SDR) technology, and the novel biosensor system has achieved impressive real-time RR/HR monitoring accuracies within approximately 0.5/3 breath/beat per minute (BPM) on student volunteers tested in our engineering labs. To further test the sensor system's feasibility for clinical use, we applied and obtained an Internal Review Board (IRB) approval from Texas Tech University Health Sciences Center (TTUHSC) and have used this NCVS monitoring system in a doctor's clinic at TTUHSC; following testing on 20 actual patients for a small-scale clinical trial, we have found that the system was still able to achieve good NCVS monitoring accuracies within ~0.5/10 BPM across 20 patients of various weight, height and age. These results suggest our custom-designed NCVS monitoring system may be feasible for future clinical use to help combatting COVID-19 and other infectious diseases.

Extranodal natural killer/T-cell lymphoma nasal type.

Extranodal natural killer/T-cell lymphoma nasal type (ENKL) is a rare neoplasm uncommon in the US. Diagnosis is complicated by low incidence and rapid tissue necrosis preventing timely histologic confirmation. We report the case of a 55-year-old woman with ENKL who faced a challenging diagnostic workup due to widespread nasal tissue necrosis and nonspecific sinus-related complaints. While ENKL is significantly more common in Asia and South America, clinicians worldwide should maintain a high level of suspicion for patients presenting with nonspecific nasopharyngeal complaints who have signs of tissue necrosis. Early recognition and treatment with combined radiotherapy and chemotherapy can improve survival.

Differentiation of Patients with Balance Insufficiency (Vestibular Hypofunction) versus Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor.

Balance disorders present a significant healthcare burden due to the potential for hospitalization or complications for the patient, especially among the elderly population when considering intangible losses such as quality of life, morbidities, and mortalities. This work is a continuation of our earlier works where we now examine feature extraction methodology on Dynamic Gait Index (DGI) tests and machine learning classifiers to differentiate patients with balance problems versus normal subjects on an expanded cohort of 60 patients. All data was obtained using our custom designed low-cost wireless gait analysis sensor (WGAS) containing a basic inertial measurement unit (IMU) worn by each subject during the DGI tests. The raw gait data is wirelessly transmitted from the WGAS for real-time gait data collection and analysis. Here we demonstrate predictive classifiers that achieve high accuracy, sensitivity, and specificity in distinguishing abnormal from normal gaits. These results show that gait data collected from our very low-cost wearable wireless gait sensor can effectively differentiate patients with balance disorders from normal subjects in real-time using various classifiers. Our ultimate goal is to be able to use a remote sensor such as the WGAS to accurately stratify an individual's risk for falls.

Non-Contact Sensor for Long-Term Continuous Vital Signs Monitoring: A Review on Intelligent Phased-Array Doppler Sensor Design.

It has been the dream of many scientists and engineers to realize a non-contact remote sensing system that can perform continuous, accurate and long-term monitoring of human vital signs as we have seen in many Sci-Fi movies. Having an intelligible sensor system that can measure and record key vital signs (such as heart rates and respiration rates) remotely and continuously without touching the patients, for example, can be an invaluable tool for physicians who need to make rapid life-and-death decisions. Such a sensor system can also effectively help physicians and patients making better informed decisions when patients' long-term vital signs data is available. Therefore, there has been a lot of research activities on developing a non-contact sensor system that can monitor a patient's vital signs and quickly transmit the information to healthcare professionals. Doppler-based radio-frequency (RF) non-contact vital signs (NCVS) monitoring system are particularly attractive for long term vital signs monitoring because there are no wires, electrodes, wearable devices, nor any contact-based sensors involved so the subjects may not be even aware of the ubiquitous monitoring. In this paper, we will provide a brief review on some latest development on NCVS sensors and compare them against a few novel and intelligent phased-array Doppler-based RF NCVS biosensors we have built in our labs. Some of our NCVS sensor tests were performed within a clutter-free anechoic chamber to mitigate the environmental clutters, while most tests were conducted within the typical Herman-Miller type office cubicle setting to mimic a more practical monitoring environment. Additionally, we will show the measurement data to demonstrate the feasibility of long-term NCVS monitoring. The measured data strongly suggests that our latest phased array NCVS system should be able to perform long-term vital signs monitoring intelligently and robustly, especially for situations where the subject is sleeping without hectic movements nearby.

Deconstructing Quinoline-Class Antimalarials to Identify Fundamental Physicochemical Properties of Beta-Hematin Crystal Growth Inhibitors.

A versatile approach to control crystallization involves the use of modifiers, which are additives that interact with crystal surfaces and alter their growth rates. Elucidating a modifier's binding specificity to anisotropic crystal surfaces is a ubiquitous challenge that is critical to their design. In this study, we select hematin, a byproduct of malaria parasites, as a model system to examine the complementarity of modifiers (i.e., antimalarial drugs) to ß-hematin crystal surfaces. We divide two antimalarials, chloroquine and amodiaquine, into segments consisting of a quinoline base, common to both drugs, and side chains that differentiate their modes of action. Using a combination of scanning probe microscopy, bulk crystallization, and analytical techniques, we show that the base and side chain work synergistically to reduce the rate of hematin crystallization. In contrast to general observations that modifiers retain their function upon segmentation, we show that the constituents do not act as modifiers. A systematic study of quinoline isomers and analogues shows how subtle rearrangement and removal of functional moieties can create effective constituents from previously ineffective modifiers, along with tuning their inhibitory modes of action. These findings highlight the importance of specific functional moieties in drug compounds, leading to an improved understanding of modifier-crystal interactions that could prove to be applicable to the design of new antimalarials.

Antimalarials inhibit hematin crystallization by unique drug-surface site interactions.

In malaria pathophysiology, divergent hypotheses on the inhibition of hematin crystallization posit that drugs act either by the sequestration of soluble hematin or their interaction with crystal surfaces. We use physiologically relevant, time-resolved in situ surface observations and show that quinoline antimalarials inhibit ß-hematin crystal surfaces by three distinct modes of action: step pinning, kink blocking, and step bunch induction. Detailed experimental evidence of kink blocking validates classical theory and demonstrates that this mechanism is not the most effective inhibition pathway. Quinolines also form various complexes with soluble hematin, but complexation is insufficient to suppress heme detoxification and is a poor indicator of drug specificity. Collectively, our findings reveal the significance of drug-crystal interactions and open avenues for rationally designing antimalarial compounds.

Importance of an Interprofessional Team Approach in Achieving Improved Management of the Dizzy Patient.

BACKGROUND: Because of its multifaceted nature, dizziness is difficult for clinicians to diagnose and manage independently. Current treatment trends suggest that patients are often referred to the otolaryngologist for intervention despite having a nonotologic disorder. Additionally, many individuals with atypical presentations are often misdiagnosed and spend a significant amount of time waiting for consultation by the otolaryngologist. Few studies have alluded that implementation of an interprofessional team approach in the diagnosis and management of the dizzy patient can improve clinical decision-making. However, to the authors' knowledge, there is no information specifically quantifying the outcomes and potential benefits of using an interprofessional balance care team approach. PURPOSE: To compare dizziness diagnoses trends and referral practices with and without the use of an interprofessional management approach within a university healthcare system. RESEARCH DESIGN: Over the course of a 3-yr period, a retrospective review of the diagnosis and management of dizziness was performed with and without implementation of an interprofessional team. To observe potential differences, year 3 incorporated the interprofessional management approach while years 1-2 did not. The two periods were then compared to each other. STUDY SAMPLE: A total of 134 patients referred to a university hearing clinic for a vestibular and balance function evaluation. DATA COLLECTION AND ANALYSIS: Diagnoses and management trends were examined with descriptive statistics (percentages and frequencies). Fisher's exact tests, analysis of contingency tables, were conducted to evaluate the influence of interprofessional management on dizziness diagnoses and treatment patterns. RESULTS: Results demonstrated that before implementation of an interprofessional team approach, (1) referring clinicians used unspecific dizziness diagnosis codes (e.g., dizziness and giddiness), (2) a low number of patients with dizziness were referred for balance function testing, (3) diagnoses remained unspecific following the balance function assessment, and (4) the most frequently occurring vestibular diagnoses were unilateral vestibular hypofunction and benign paroxysmal positional vertigo. Following the use of an interprofessional management approach, it was determined that (1) disease-specific diagnoses increased, (2) patients with dizziness were referred for balance function testing mainly by otolaryngologists, (3) dizziness was considered to be multifaceted for a greater number of patients, (4) a larger percentage of patients were referred to a specialist other than the otolaryngologist as a result of their diagnosis, and (5) patients reported reduction or resolution of their symptoms. CONCLUSIONS: An interprofessional management approach for the dizzy patient can lead to more specific diagnoses and provide alternative referral pathways to other health-care professionals (e.g., audiologists, physical therapists, and pharmacists) in an effort to reduce over-referral to one specialist. Future studies should address the utility of an interprofessional team approach in the overall management of patients with dizziness.

Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor.

Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis sensor that contains a basic inertial measurement unit (IMU) was used to collect the gait data for four patients diagnosed with balance disorders and additionally three normal subjects, each performing the Dynamic Gait Index (DGI) tests while wearing the custom wireless gait analysis sensor (WGAS). The small WGAS includes a tri-axial accelerometer integrated circuit (IC), two gyroscopes ICs and a Texas Instruments (TI) MSP430 microcontroller and is worn by each subject at the T4 position during the DGI tests. The raw gait data are wirelessly transmitted from the WGAS to a near-by PC for real-time gait data collection and analysis. In order to perform successful classification of patients vs. normal subjects, we used several different classification algorithms, such as the back propagation artificial neural network (BP-ANN), support vector machine (SVM), k-nearest neighbors (KNN) and binary decision trees (BDT), based on features extracted from the raw gait data of the gyroscopes and accelerometers. When the range was used as the input feature, the overall classification accuracy obtained is 100% with BP-ANN, 98% with SVM, 96% with KNN and 94% using BDT. Similar high classification accuracy results were also achieved when the standard deviation or other values were used as input features to these classifiers. These results show that gait data collected from our very low-cost wearable wireless gait sensor can effectively differentiate patients with balance disorders from normal subjects in real time using various classifiers, the success of which may eventually lead to accurate and objective diagnosis of abnormal human gaits and their underlying etiologies in the future, as more patient data are being collected.