Publications by authors named "D J Aframian"
Article Synopsis
- The study aimed to create an automatic algorithm for detecting and classifying ductopenia in parotid glands, which is linked to salivary gland impairment, using sialo cone-beam CT (sialo-CBCT) images.
- The research involved an automated pipeline with three steps: computing regions of interest (ROIs), segmenting the parotid gland using a Frangi filter, and classifying ductopenia severity with a residual neural network (RNN) enhanced by maximum intensity projection (MIP) images.
- Evaluation of the algorithm on 126 scans showed excellent accuracy in ROI computation (100%) and gland segmentation (89%), with significant improvements in the detection of ductopenia severity, indicating its potential
Body fluid detection is an important component in the toolbox of forensic scientists, with saliva playing a particularly critical role in forensic evidence. Given that each body fluid possesses a distinct microbiome, the identification of body fluid based on specific representatives of the microbiota presents an appealing approach for forensic applications. In this study, we have developed a real-time polymerase chain reaction (RT-PCR)-based method for the precise identification of saliva, focusing on three bacteria highly associated with saliva but not with other tested body fluids -Porphyromonas gingivalis, Fusobacterium nucleatum, and Streptococcus salivarius.
View Article and Find Full Text PDFUnlabelled: Burning Mouth Syndrome (BMS) is an intraoral chronic burning or dysesthetic sensation, without clinically evident causative lesions on clinical examination and investigation.
Aim: To assess immediate and weekly effects of photobiomodulation (PBM) on BMS patients.
Methods: Thirty BMS patients were treated intra-orally with photobiomodulation 940(±10) nm (InGaAsP) 3 W, semi-conductor diode, weekly, for up to 10 weeks.