Publications by authors named "Andres M Bur"

This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task Force's guidance on the integration of artificial intelligence (AI) in otolaryngology-head and neck surgery (OHNS). A comprehensive literature review was conducted, focusing on the applications, benefits, and challenges of AI in OHNS, alongside ethical, legal, and social implications. The Task Force, formulated by otolaryngologist experts in AI, used an iterative approach, adapted from the Delphi method, to prioritize topics for inclusion and to reach a consensus on guiding principles.

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Objective: This study aimed to assess reporting quality of machine learning (ML) algorithms in the head and neck oncology literature using the TRIPOD-AI criteria.

Data Sources: A comprehensive search was conducted using PubMed, Scopus, Embase, and Cochrane Database of Systematic Reviews, incorporating search terms related to "artificial intelligence," "machine learning," "deep learning," "neural network," and various head and neck neoplasms.

Review Methods: Two independent reviewers analyzed each published study for adherence to the 65-point TRIPOD-AI criteria.

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Background: The management of acute hemorrhage in patients with previously treated head and neck squamous cell carcinoma (HNSCC) is challenging due to the lack of substantial evidence to guide clinical decision making.

Methods: A systematic review and retrospective chart review were performed to identify patients with a history of HNSCC who underwent either primary or adjuvant radiation therapy (RT) and presented with hemorrhagic complications requiring embolization. Patient characteristics, history, presentation, and outcomes were reviewed.

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Article Synopsis
  • The study analyzes free flap reconstruction in patients with traumatic head and neck injuries, focusing on experiences from multiple institutions, involving 103 cases.
  • Most injuries were due to gunshot wounds (85%) and motor vehicle accidents (11%), with the majority requiring bone reconstruction (82%).
  • Free flap failures (9% of cases) occurred exclusively in gunshot wound patients and were linked to multiple injured sites, while preoperative antibiotics were found to significantly reduce certain postoperative complications.
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Objectives: To develop and validate machine learning (ML) and deep learning (DL) models using drug-induced sleep endoscopy (DISE) images to predict the therapeutic efficacy of hypoglossal nerve stimulator (HGNS) implantation.

Methods: Patients who underwent DISE and subsequent HGNS implantation at a tertiary care referral center were included. Six DL models and five ML algorithms were trained on images from the base of tongue (BOT) and velopharynx (VP) from patients classified as responders or non-responders as defined by Sher's criteria (50% reduction in apnea-hypopnea index (AHI) and AHI < 15 events/h).

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Objectives: To provide a comprehensive summary of the different modalities available to measure soft tissue fibrosis after radiotherapy in head and neck cancer patients.

Data Sources: PubMed, Scopus, and Web of Sciences.

Review Methods: A search was conducted using a list of medical subject headings and terms related to head and neck oncology, radiation fibrosis, and quantitative measurements, including bioimpedance, MRI, and ultrasound.

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Introduction: Head and neck malignancy treatment often involves invasive surgeries, necessitating effective postoperative pain control. However, chronic reliance on opioid medications remains a challenge for many patients after surgery. Multimodal analgesia (MMA) within enhanced recovery after surgery protocols has shown success in limiting narcotic pain medications for other cancer types.

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Objective: To determine differences in post-treatment QoL across treatment settings in patients receiving adjuvant radiation therapy for head and neck squamous cell carcinoma (HNSCC).

Methods: This was a prospective observational cohort study of patients with HNSCC initially evaluated in a head and neck surgical oncologic and reconstructive clinic at an academic medical center (AMC). Participants were enrolled prior to treatment in a prospective registry collecting demographic, social, and clinical data.

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Background: To develop machine learning (ML) models predicting unplanned readmission and reoperation among patients undergoing free flap reconstruction for head and neck (HN) surgery.

Methods: Data were extracted from the 2012-2019 NSQIP database. eXtreme Gradient Boosting (XGBoost) was used to develop ML models predicting 30-day readmission and reoperation based on demographic and perioperative factors.

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Objective: To evaluate the potential use of artificial intelligence (AI) chatbots, such as ChatGPT, in preoperative counseling for patients undergoing head and neck cancer surgery.

Study Design: Cross-Sectional Survey Study.

Setting: Single institution tertiary care center.

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Introduction: Coronavirus disease 2019 (COVID-19) affects the vascular system, subjecting patients to a hypercoagulable state. This is of particular concern for the success of microvascular free flap reconstruction. This study aims to report head and neck free flap complications in patients with COVID-19 during the perioperative period.

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Social determinants of health (SDoH) and rurality are known factors that may influence outcomes in head and neck squamous cell carcinoma (HNSCC). Patients residing in remote locations or those with multiple SDoH may encounter barriers to initial diagnosis, adherence to multidisciplinary treatments, and posttreatment surveillance, which may impact their overall survival. However, previous studies have shown mixed results associated with rural residence.

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Article Synopsis
  • Flexible laryngoscopy is used by otolaryngologists to identify laryngeal diseases, and researchers are using machine learning to enhance automated diagnoses through analyzing laryngeal images.
  • This study investigates using deep learning to predict patient demographics (gender, smoking history, and age) to improve diagnostic accuracy, achieving overall accuracies of 85.5%, 65.2%, and 75.9% respectively.
  • A new set of laryngoscopic images was created, and eight classical deep learning models were tested to show that integrating demographic data can boost the performance of current diagnostic learning models.
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Objective: To localize structural laryngeal lesions within digital flexible laryngoscopic images and to classify them as benign or suspicious for malignancy using state-of-the-art computer vision detection models.

Study Design: Cross-sectional diagnostic study SETTING: Tertiary care voice clinic METHODS: Digital stroboscopic videos, demographic and clinical data were collected from patients evaluated for a structural laryngeal lesion. Laryngoscopic images were extracted from videos and manually labeled with bounding boxes encompassing the lesion.

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Objectives: Understand the prognostic impact of perineural invasion (PNI) in early-stage oral cavity squamous cell carcinoma (OCSCC). Assess the influence of adjuvant radiotherapy on outcomes of patients with PNI-positive early-stage OCSCC.

Materials And Methods: Retrospective seven-institution cohort study including patients with pathologic T1-2 N0-1 OCSCC who underwent primary surgery with negative margins.

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Importance: Timely initiation of postoperative radiation therapy (PORT) is associated with reduced recurrence rates and improved overall survival in patients with head and neck squamous cell carcinoma (HNSCC). Measurement of the association of social-ecological variables with PORT delays is lacking.

Objective: To assess individual and community-level factors associated with PORT delay among patients with HNSCC.

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Objective: In patients with head and neck squamous cell carcinoma (HNSCC), initiating postoperative radiotherapy (PORT) greater than 42 days after surgery is associated with a higher risk of poor survival outcomes. Social support has been shown to modulate behaviors related to care-seeking and treatment adherence. In this study, we sought to determine the relationship between social support metrics and PORT delays.

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Background: There is debate on the utility of a preoperative Allen test or ultrasound before radial forearm free flap (RFFF) harvest. This study sought to evaluate correlations between preoperative testing and donor-site morbidity.

Methods: A survey of plastic surgery and otolaryngology RFFF patients was conducted at a Midwestern academic center.

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Objectives: The aim of the study was to investigate the association of surgical margin conditions, including positive specimen margins revised to negative relative to local recurrence, disease-free survival, and overall survival (OS) within a cohort of HPV-mediated oropharyngeal squamous cell carcinoma (OPSCC) who underwent en bloc resection via transoral robotic surgery (TORS).

Materials And Methods: Retrospective cohort of patients with untreated HPV-mediated OPSCC cT1 or T2 undergoing TORS resection between October 2014 and March 2020. The methodologic description of our interdisciplinary institutional approach, number of cut-through margins (CTMs) during intraoperative consultation, percentage of final positive margin cases, and disease-free survival and OS stratified by margin status and margin tumor-free distance is identified.

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Objectives: To optimize the delivery of multimodal analgesia to patients undergoing major head and neck oncologic surgeries.

Methods: Pilot study included patients enrolled to receive either scheduled acetaminophen and as-needed opioids (control group) or scheduled acetaminophen, gabapentin, ketorolac, and as-needed opioids (experimental group). RCT, a hybrid type 1 effectiveness-implementation pragmatic trial, was designed to test the effectiveness of the intervention.

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Background: Several prospective studies report improved outcomes with pretreatment nutrition interventions prior to radiation therapy for head and neck cancer (HNC), but none have assessed similar interventions before surgery for HNC.

Methods: POINT, a pilot randomized controlled trial, was conducted to evaluate a multimodal nutrition intervention. Patients undergoing primary surgery with free flap reconstruction for HNC were randomly assigned to the control arm or a preoperative multimodal nutrition intervention.

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Importance: In clinically localized (T1-2) oral cavity squamous cell carcinoma (OCSCC), regional lymph node metastasis is associated with a poor prognosis. Given the high propensity of subclinical nodal disease in these patients, upfront elective neck dissections (END) for patients with clinically node-negative disease are common and associated with better outcomes. Unfortunately, even with this risk-adverse treatment paradigm, disease recurrence still occurs, and our understanding of the factors that modulate this risk and alter survival have yet to be fully elucidated.

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Objective: To evaluate the effect of histopathologic skin invasion on 2- and 5-year disease-free survival (DFS) and overall survival (OS) in patients treated with primary surgery for locally advanced oral cavity squamous cell carcinoma (OCSCC).

Study Design: A retrospective case-control study was performed comparing previously untreated patients with pT4a OCSCC with and without skin invasion.

Setting: Academic medical center.

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Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the communication sciences. A virtual symposium on the topic was convened from Duke University on October 26, 2020, and was attended by more than 170 participants worldwide. This review presents summaries of all but one of the talks presented during the symposium; recordings of all the talks, along with the discussions for the talks, are available at https://www.

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