Optimal Treatment Order With Fibula-Free Flap Reconstruction, Oncologic Treatment, and Dental Implants: A Systematic Review and Meta-Analysis.

Head and neck cancer (HNC) patients benefit from craniofacial reconstruction, but no clear guidance exists for rehabilitation timing. This meta-analysis aims to clarify the impact of oncologic treatment order on implant survival. An algorithm to guide placement sequence is also proposed in this paper. PubMed, Embase, and Web of Science were searched for studies on HNC patients with ablative and fibula-free flap (FFF) reconstruction surgeries and radiotherapy (RTX). Primary outcomes included treatment sequence, implant survival rates, and RTX dose. Of 661 studies, 20 studies (617 implants, 199 patients) were included. Pooled survival rates for implants receiving >60 Gy RTX were significantly lower than implants receiving < 60 Gy (82.8% versus 90.1%, P =0.035). Placement >1 year after RTX completion improved implant survival rates (96.8% versus 82.5%, P =0.001). Implants receiving pre-placement RTX had increased survival with RTX postablation versus before (91.2% versus 74.8%, P <0.001). One hundred seventy-seven implants were placed only in FFF with higher survival than implants placed in FFF or native bone (90.4% versus 83.5%, P =0.035). Radiotherapy is detrimental to implant survival rates when administered too soon, in high doses, and before tumor resection. A novel evidence-based clinical decision-making algorithm was presented for utilization when determining the optimal treatment order for HNC patients. The overall survival of dental prostheses is acceptable, reaffirming their role as a key component in rehabilitating HNC patients. Considerations must be made regarding RTX dosage, timing, and implant location to optimize survival rates and patient outcomes for improved functionality, aesthetics, and comfort.

Is a Simple Checklist Associated With Improvement in Gender Representation at the AAO-HNSF Annual Meeting?

OBJECTIVE: In September 2017, the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) added 2 questions querying panel organizers if gender/racial diversity was considered in selecting panel presenters, beginning with the 2018 Annual Meeting (AM). This study examines how this checklist impacted the gender diversity of panel presenters at the AAO-HNS AM. STUDY DESIGN: This was a cross-sectional investigation comparing female representation before and after the addition of questions inquiring about diversity in 2018. SETTING: A review of abstract submissions for the AMs from 2015 to 2021. METHODS: AM Official Program Abstracts were used to obtain presenter names and specialty area for each panel. The percentage of female presenters, in total and stratified by specialty area, were compared before and after 2018 to quantify changes following the addition of the checklist. RESULTS: There was a significant increase in the proportion of female panel presenters from 22.3% (total n = 1199) in 2015 to 2017 to 33.0% (total n = 1868) in 2018 to 2021 (P < .001) and in all panel specialties. The number of female moderated panels also significantly increased after checklist implementation from 22% to 38% (P < .001). Correspondingly, the number of panels with no female representation decreased from 42% in 2015 to 2017 to 23% in 2018 to 2021 (P < .001). CONCLUSION: The addition of a checklist asking panel organizers to consider diversity in selecting panelists was associated with an increased proportion of female presenters at the AM. This simple strategy can be implemented by all medical conferences to help close the gender gap.

Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia.

The interplay between neurology and cardiology has gained significant attention in recent years, particularly regarding the shared pathophysiological mechanisms and clinical comorbidities observed in epilepsy and arrhythmias. Neuro-cardiac electrophysiology mapping involves the comprehensive assessment of both neural and cardiac electrical activity, aiming to unravel the intricate connections and potential cross-talk between the brain and the heart. The emergence of artificial intelligence (AI) has revolutionized the field by enabling the analysis of large-scale data sets, complex signal processing, and predictive modeling. AI algorithms have been applied to neuroimaging, electroencephalography (EEG), electrocardiography (ECG), and other diagnostic modalities to identify subtle patterns, classify disease subtypes, predict outcomes, and guide personalized treatment strategies. In this review, we highlight the potential clinical implications of neuro-cardiac mapping and AI in the management of epilepsy and arrhythmias. We address the challenges and limitations associated with these approaches, including data quality, interpretability, and ethical considerations. Further research and collaboration between neurologists, cardiologists, and AI experts are needed to fully unlock the potential of this interdisciplinary field.

Self-Assembled Amino Acid Microstructures as Biocompatible Physically Unclonable Functions (BPUFs) for Authentication of Therapeutically Relevant Hydrogels.

Counterfeited biomedical products result in significant economic losses and pose a public health hazard for over a million people yearly. Hydrogels, a class of biomedical products, are being investigated as alternatives to conventional biomedical products and are equally susceptible to counterfeiting. Here, a biocompatible, physically unclonable function (BPUF) to verify the authenticity of therapeutically relevant hydrogels are developed. The principle of BPUF relies on the self-assembly of tyrosine into fibril-like structures which are incorporated into therapeutically relevant hydrogels resulting in their random dispersion. This unclonable arrangement leads to distinctive optical micrographs captured using an optical microscope. These optical micrographs are transformed into a unique security code through cryptographic techniques which are then used to authenticate the hydrogel. The temporal stability of the BPUFs are demonstrated and additionally, exploit the dissolution propensity of the structures upon exposure to an adulterant to identify the tampering of the hydrogel. Finally, a platform to demonstrate the translational potential of this technology in validating and detecting tampering of therapeutically relevant hydrogels is developed. The potential of BPUFs to combat hydrogel counterfeiting is exemplified by its simplicity in production, ease of use, biocompatibility, and cost-effectiveness.