Publications by authors named "Marianne Abouyared"

Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness and minimizing recurrence in head and neck cancers (HNC). Label-free Fluorescence Lifetime Imaging (FLIm), which captures the fluorescence decay characteristics of endogenous molecules, offers a real-time method for differentiating malignant from healthy tissue during surgery without the need of contrast agents. Here, we present a data-centric artificial intelligence (AI) framework to enhance the robustness and accuracy of FLIm-based classification models for HNC.

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Background: Sarcopenia, the systemic loss of skeletal muscle mass and function, is prevalent and particularly detrimental to head and neck cancer (HNC) patients. Cancer-associated sarcopenia involves complex mechanisms of poor nutrition and inflammation, highlighting the necessity for preoperative identification of these high-risk patients.

Methods: A multi-site retrospective chart review (2016-2021) was performed on HNC patients undergoing total laryngectomy with or without reconstruction.

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Objective: To investigate the impact of county-level social vulnerability on patients' decision to refuse recommended surgical treatment.

Methods: Retrospective cohort analysis conducted on HNSCC cases documented in the latest available SEER databases from 2000 to 2020; various demographic, including county of residence, and disease-related variables were collected. CDC's Social Vulnerability Index (SVI) was assigned based on patients' county of residence, and patients were subsequently categorized into four SVI quartiles.

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Background: Oral potentially malignant disorders (OPMDs) occur in up to 4%-5% of the population, of which oral leukoplakia (OL) is the most common subtype. Predicting high-risk OL remains a challenge. Early diagnosis and effective treatment are thought to be of paramount importance to improve outcomes.

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: Early detection and accurate diagnosis of lymph node metastasis (LNM) in head and neck cancer (HNC) are crucial for enhancing patient prognosis and survival rates. Current imaging methods have limitations, necessitating new evaluation of new diagnostic techniques. This study investigates the potential of combining pre-operative CT and intra-operative fluorescence lifetime imaging (FLIm) to enhance LNM prediction in HNC using primary tumor signatures.

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Purpose Of Review: Considerations regarding reconstruction of the temporomandibular junction (TMJ) following ablation have been underreported in head and neck surgery literature. Here, we discuss the complexity of reconstructing this unique joint and highlight the benefits and drawbacks of free tissue transfer. Additionally, we address the growing role of customized alloplastic implants and virtual surgical planning technologies in TMJ reconstruction.

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Background: Malnutrition is a major consequence of head and neck cancer (HNC), often leading to decreased skeletal muscle mass and impacting survival. The goal of this study is to determine the effect of sarcopenia, as defined by skeletal muscle index (SMI), on survival in patients with HNC.

Methods: This is a retrospective review of patients with HNC treated with surgery and/or radiation at a single tertiary care institute.

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Introduction: This is the first systematic review and meta-analysis to investigate the effectiveness of the nasal airflow-inducing maneuver (NAIM) in olfactory rehabilitation for total laryngectomy (TL) patients.

Methods: We conducted a systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The inclusion criteria required that patients must have undergone a TL with subsequent NAIM training for at least 2 weeks and olfactory evaluation.

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Objective: To assess the diagnostic accuracy of fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography (FDG-PET/CT) in detecting second primary malignancies (SPMs) in patients with treatment naïve head and neck squamous cell carcinoma (HNSCC).

Data Sources: Medline, Embase, Cochrane Library, and Scopus searched from 1946 to December 2022.

Review Methods: Studies reporting the performance of FDG-PET/CT in patients with treatment-naïve, index HNSCC for detection of SPMs were included.

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Objective: As cancer patients increasingly use chatbots, it is crucial to recognize ChatGPT's potential in enhancing health literacy while ensuring validation to prevent misinformation. This study aims to assess ChatGPT-3.5's capability to provide appropriate staging and treatment recommendations for head and neck mucosal malignancies for vulnerable populations.

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Objective: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry implicit gender bias, such as using more agentic versus communal words for men, and more frequent doubt-raisers and references to appearance and personal life for women. This can result in inequitable access to residency opportunities for women.

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Text-to-image artificial intelligence (AI) programs are popular public-facing tools that generate novel images based on user prompts. Given that they are trained from Internet data, they may reflect societal biases, as has been shown for text-to-text large language model programs. We sought to investigate whether 3 common text-to-image AI systems recapitulated stereotypes held about surgeons and other health care professionals.

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Background: The availability of paid parental leave is an important factor for retention and wellness. The experiences of head and neck surgeons with parental leave have never been reported.

Methods: A survey was electronically distributed to head and neck subspecialty surgeons in the United States.

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Importance: Late effects of head and neck cancer (HNC) treatment include profound dysphagia, chronic aspiration, and death. Functional laryngectomy (FL) can improve patient survival and quality of life (QoL); however, removing a failing larynx for a noncancer reason is a difficult decision. Data regarding the ability of FL to improve self-perceptions of voice, swallowing, and QOL in survivors of HNC with intractable aspiration are inconclusive.

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Objective: Sarcopenia, characterized by decreased skeletal muscle mass, is associated with poorer oncologic outcomes in head and neck cancer (HNC) patients. The effect of sarcopenia on swallowing following HNC treatment is unknown. This study aims to investigate the association of sarcopenia and swallowing dysfunction in patients treated for HNC.

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Background: For patients with oral cavity squamous cell carcinoma (OCSCC) without evidence of nodal metastasis (cN0) on pre-operative evaluation, there are no clear guidelines who should undergo elective neck dissection (END) versus clinical surveillance.

Objective: To identify CT imaging characteristics of sub-centimeter lymph nodes that would help predict the likelihood of nodal metastases on pathology.

Methods: Retrospective review of cN0 OCSCC patients at a tertiary academic medical center was performed.

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Incomplete surgical resection with residual cancer left in the surgical cavity is a potential sequelae of Transoral Robotic Surgery (TORS). To minimize such risk, surgeons rely on intraoperative frozen sections analysis (IFSA) to locate and remove the remaining tumor. This process, may lead to false negatives and is time-consuming.

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Though specific growth rate (SGR) has potential prognostic value for oropharyngeal squamous cell carcinoma (OPSCC), there is sparse literature defining these rates. Our aims were to establish the SGRs of primary tumors (PTs) and lymph nodes (LNs) in OPSCC and to correlate SGR with oncologic outcome. A pilot study was designed with a retrospective analysis examining 54 patients from the University of California, Davis with OPSCC (diagnosed 2012-2019).

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Intraoperative identification of head and neck cancer tissue is essential to achieve complete tumor resection and mitigate tumor recurrence. Mesoscopic fluorescence lifetime imaging (FLIm) of intrinsic tissue fluorophores emission has demonstrated the potential to demarcate the extent of the tumor in patients undergoing surgical procedures of the oral cavity and the oropharynx. Here, we report FLIm-based classification methods using standard machine learning models that account for the diverse anatomical and biochemical composition across the head and neck anatomy to improve tumor region identification.

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There are limited data supporting the commonly suggested 5 mm margin cutoff as the optimum value in defining clear margins in oral cancer. A database search of Pubmed/Medline, Web of Science, and EBSCOhost was performed from inception to June 2022. A random-effects model was chosen for this meta-analysis.

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Purpose: The purpose of this study is to examine the use of the Patient Health Questionnaire-2 (PHQ-2) to screen for depression in patients undergoing treatment for head and neck cancer and to evaluate potential patient-specific risk factors that may contribute to depression.

Materials And Methods: This is a retrospective study at a tertiary-level hospital of outpatient adult patients with head and neck cancer who completed the PHQ-2/9 from 2019 to 2020. Patients were given a PHQ-2 during a surveillance visit.

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Objective: To identify patient factors in older patients associated with making posttreatment visits in the first year after major head and neck oncologic surgery.

Study Design: Retrospective cohort study.

Setting: Academic institution.

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Purpose Of Review: Under anticipating free flap volume may lead to deficits in functional and aesthetic outcomes. Alternatively, over anticipating may compromise airway patency, lead to prolonged tracheostomy dependence or poor oral intake, and cause poor cosmetic outcomes. Surgeons face a fine balance in creating a functional reconstruction that accounts adequately for volume changes in the future.

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Purpose: The purpose of this study is to characterize deficits in olfactory-specific and sinonasal-specific QoL after total laryngectomy (TL) with validated patient reported outcome measures.

Methods: Thirty patients who had a TL were prospectively enrolled. Patient demographics, as well as scores from the Questionnaire of Olfactory Disorders Negative Statements (QOD-NS) and the Sino-nasal Outcome Test-22 (SNOT-22) were collected.

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Background: This study evaluated whether fluorescence lifetime imaging (FLIm), coupled with standard diagnostic workups, could enhance primary lesion detection in patients with p16+ head and neck squamous cell carcinoma of the unknown primary (HNSCCUP).

Methods: FLIm was integrated into transoral robotic surgery to acquire optical data on six HNSCCUP patients' oropharyngeal tissues. An additional 55-patient FLIm dataset, comprising conventional primary tumors, trained a machine learning classifier; the output predicted the presence and location of HNSCCUP for the six patients.

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