Publications by authors named "Dena Nadhim Mohammad"

Article Synopsis
  • The study used deep learning with convolutional neural networks (CNN) to predict skeletal growth maturation from cervical vertebrae and lower 2nd molar calcification levels using orthopantomography (OPG).
  • About 1200 cephalometric radiographs and OPGs were analyzed, achieving high accuracy in detecting skeletal maturity, particularly with cervical vertebrae accuracy at 98% for males.
  • The findings suggest that CNN multiclass classification reliably assesses maturation levels, confirming that OPGs alone can effectively determine growth stages.
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In circumstances where antemortem information concerning the deceased individual is unavailable, forensic experts prepare biological profiling for unidentified human remains that aids in narrowing the search for identity. Biological profiling includes basic demographic information such as sex, age, stature, and ethnicity. Sex identification is the first and key step in the biological profiling of unidentified human remains, as it effectively reduces potential matches by excluding nearly one-half of the suspected cases and facilitates the subsequent stages.

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In forensics, predicting the sex is a crucial step in identification. Many studies have aimed to find an accurate and fast technique to estimate the sex. This study was conducted to determine the accuracy of volumetric and linear measurements of three-dimensional (3D) images of the mandible obtained from cone beam computed tomography (CBCT) radiographs, using different machine-learning (ML) models for sex identification.

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Background: Salivary tumors have various morphological features and might share some histopathological findings. They are considered a problematic area in diagnosis due to complex clinicopathological features and different biological behavior.

Objective: To identify the pathological behavior of salivary tumors immunohistochemically.

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This study evaluates the cytomorphometric measures of cells obtained from the buccal mucosa of dental students to assess the fluctuation of the cellular characteristics among relatively normal subjects, with any potential correlations with demographic information, different habits, and hormonal disturbance. This prospective study included 100 dental students with no detectable oral alterations submitted to brush cytology. The smears were fixed with 95% ethyl alcohol and stained with hematoxylin and eosin stain.

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Oral and maxillofacial lesions (OMFLs) in pediatrics differ markedly from their adult counterparts in terms of clinical conduct, pathological behavior, and management. This study aims to determine the frequency of OMFLs among pediatric and adolescent patients and to correlate the demographics information to the site, and histopathological findings. Pathological records of pediatric and adolescent patients were retrieved from three major pathological centers in Sulaimani city of Iraq.

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Background: Identifying the prevalence of orofacial malignancies is essential to provide health-care programs and services for a specific population. This study aimed to specify the prevalence, clinical and histopathological features of oral malignancies in Sulaimani for over 12 years.

Methods: All archived reports for orofacial specimens from 2008 to 2019 were collected from three major centers in Sulaimani governorate.

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Background: Salivary gland tumors are a heterogeneous group of lesions with diverse histological features. Hence they are considered as a diagnostic challenge for the pathologist. Myoepithelial cells are considered as a key in the morphogenetic process, with diverse differentiation in various salivary gland tumors.

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