Publications by authors named "Richard Dagher"

Background And Purpose: Neoadjuvant BRAF-directed therapy and immunotherapy followed by surgery improves survival in patients with BRAF-mutant anaplastic thyroid carcinoma (ATC), more so in those who have complete ATC pathologic response. This study assesses the ability of FDG-PET to non-invasively detect residual high-risk pathologies including ATC and poorly differentiated thyroid carcinoma (PDTC) in the preoperative setting.

Materials And Methods: This retrospective, single-center study included consecutive BRAF-mutant ATC patients treated with at least 30 days of neoadjuvant BRAF-directed therapy and who underwent FDG-PET/CT within 30 days prior to surgery.

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Imaging approach for fungal sinusitis.

Curr Opin Otolaryngol Head Neck Surg

October 2024

Article Synopsis
  • * Fungal sinusitis is divided into invasive and noninvasive types, with CT being better for spotting bony damage and MRI more effective for assessing soft tissue involvement.
  • * Early detection of invasive cases, especially in immunocompromised patients, is crucial for effective treatment, with specific radiologic signs aiding in diagnosis.
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Background: While the diagnosis of frontotemporal dementia (FTD) is based mostly on clinical features, [18F]-FDG PET has been investigated as a potential imaging golden standard in ambiguous cases, with arterial spin labeling (ASL) MRI gaining recent interest.

Purpose: The purpose of this study is to conduct a systematic review and meta-analysis on the diagnostic performance of ASL MRI in FTD patients and compare it to that of [18F]-FDG PET.

Data Sources: A systematic search of PubMed, Scopus and EMBASE was conducted until March 13, 2024.

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Background And Purpose: Early and reliable prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) is crucial for treatment decisions and early intervention. The purpose of this study was to conduct a systematic review and meta-analysis on the performance of artificial intelligence (AI) and machine learning (ML) models that utilize neuroimaging to predict HT.

Methods: A systematic search of PubMed, EMBASE, and Web of Science was conducted until February 19, 2024.

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Early, accurate diagnosis of neurodegenerative dementia subtypes such as Alzheimer's disease (AD) and frontotemporal dementia (FTD) is crucial for the effectiveness of their treatments. However, distinguishing these conditions becomes challenging when symptoms overlap or the conditions present atypically. Resting-state fMRI (rs-fMRI) studies have demonstrated condition-specific alterations in AD, FTD, and mild cognitive impairment (MCI) compared to healthy controls (HC).

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Purpose: In this study we gathered and analyzed the available evidence regarding 17 different imaging modalities and performed network meta-analysis to find the most effective modality for the differentiation between brain tumor recurrence and post-treatment radiation effects.

Methods: We conducted a comprehensive systematic search on PubMed and Embase. The quality of eligible studies was assessed using the Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) instrument.

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Objective: To examine the effectiveness of a video modeling (VM) with video feedback (VFB) intervention to teach vocational gardening skills to three adults with autism spectrum disorder (ASD).

Method: A multiple probe design across skills was used to assess the effects of the intervention on the three participants' ability to perform skills accurately.

Results: The use of VM with VFB led to improvements across skills for two of the participants.

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