https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=Ameera+Alabdulwahid%5Bauthor%5D&datetype=edat&usehistory=y&retmax=1&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&WebEnv=MCID_679579a11eebefa8a905c158&query_key=1&retmode=xml&retstart=-10&retmax=25&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908 Publications by Ameera Alabdulwahid | LitMetric

Publications by authors named "Ameera Alabdulwahid"

Introduction: Identification of the mandibular canal (MC) is essential before any lower jaw surgical procedures. Understanding the anatomical variations of the MC is essential for preventing postoperative complications.

Objectives: We assessed the observer agreement for identifying the MC in cone-beam computed tomography (CBCT) images and to study the effect of changing the voxel size on such agreements.

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Objectives: To compare subjective and objective localization of the inferior alveolar canal (IAC) on multidetector CT (MDCT) images obtained by ultralow doses in combination with the reconstruction techniques of filtered backprojection (FBP), adaptive statistical iterative reconstruction (ASIR), or model-based iterative reconstruction (MBIR) as compared to standard dose MDCT and FBP.

Methods: Three cadavers were imaged with a reference standard dose MDCT examination (volume CT dose index: 29.4 mGy) reconstructed with FBP and 5 low dose protocols (LD1-5) (volumeCT dose index: 4.

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