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The relevance of imaging diagnosis in nasal myiasis mimicking a toothache

Mazzola T, Urzêda GKF, Mazzoni TS, Marques MJ, Gaêta-Araujo H, Miyazawa M, Reis LAd, Hanemann JAC

Nasal myiasis is an infestation by dipterous larvae within the nasal cavity, where they feed on both living tissue and fluid. This condition predominantly occurs in rural areas of tropical countries,...
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Mandible bone mineral density estimation using spectral panoramic X-ray imaging

Somerkivi V, Sellerer T, Berthe D, Haemisch Y, Pantsar T, Lohman H, Kaasalainen T, Pfeiffer F

Purpose: This study demonstrated the feasibility of obtaining mandible bone mineral density (BMD) scores using spectral panoramic imaging. Materials and Methods: Areal BMD scores were measured from the body and angle...
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Basal cell adenocarcinoma in the retromolar trigone: A case report

Cho BH, Jung YH, Hwang JJ, Ryu MH, Lee JS

Basal cell adenocarcinoma, considered to be the malignant counterpart of basal cell adenoma, is a rare, low-grade malignant tumor of the salivary glands, accounting for 1-2% of salivary gland malignancies....
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Effect of a prototype 2-dimensional antiscatter grid on image quality obtained with a dental cone-beam computed tomography scanner

Li B, Somerkivi V, Bayat F, Huynh C, Altunbas C

Purpose: X-ray scattering adversely affects cone-beam computed tomography (CBCT) image quality, generating image artifacts, causing inaccurate tissue density representation, and reducing contrast. This study evaluated the performance of a 2-dimensional...
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Diagnostic accuracy of artificial intelligence in the detection of maxillary sinus pathology using computed tomography: A concise systematic review

Uthman AT, Abouelenen H, Khan S, Bseiso O, Al-Rawi N

Purpose: This study was performed to assess the performance and accuracy of artificial intelligence (AI) in the detection and diagnosis of maxillary sinus pathologies using computed tomography (CT)/cone-beam computed tomography...
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Intraoral digital radiography: A comprehensive report on the technical specifications of current and historical systems

Sampaio-Oliveira M, Gonzalez-Passos T, Gaêta-Araujo H, Dagassan-Berndt D, Bornstein MM, Freitas DQ, Haiter-Neto F, Oliveira ML

Purpose: The aim of this study was to identify, compile, and report the technical specifications of current and historical intraoral digital radiographic systems and recommend standardised reporting practices for production...
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Effect of milliamperage on cone-beam computed tomography evaluation of bone grafts around dental implants

Felizardo HMA, Troca BS, Queiroz PM, Gaêta-Araujo H

Purpose: Bone grafts can be challenging to assess on cone-beam computed tomography (CBCT) examinations due to their discreet appearance and the potential introduction of metallic artifacts from implant screws. This...
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Dental age estimation using a convolutional neural network algorithm on panoramic radiographs: A pilot study in Indonesia

Kurniawan A, Saelung M, Rizky BN, Chusida A, Prakoeswa BFWR, Nefertari G, Pradue AF, Margaretha MS, Alias A, Marya A

Purpose: This study employed a convolutional neural network (CNN) algorithm to develop an automated dental age estimation method based on the London Atlas of Tooth Development and Eruption. The primary...
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Impact of an intraoral X-ray cone with positioning laser lights on reducing radiographic errors with the bisecting angle technique: A technical report

Veerabhadrappa SK, Vadivel JK, Roodmal SY, Ismail UKB, Jain VK

Purpose: The bisecting angle technique (BAT) encounters difficulties in positioning the X-ray cone and aligning the central beam with the tooth. To address this, a rectangular laser featuring a pointed light...
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Comparison of objective radiograph quality between radiographs obtained with wall-mounted and handheld X-ray devices

Ruiz DC, Fontenele RC, Farias-Gomes A, Oliveira ML, Freitas DQ, Haiter-Neto F

Purpose: This study was conducted to compare the objective image quality of radiographs acquired with a handheld X-ray device to those obtained with a wall-mounted X-ray device. Materials and Methods: Brightness,...
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Comparative accuracy of artificial intelligence-based AudaxCeph software, Dolphin software, and the manual technique for orthodontic landmark identification and tracing of lateral cephalograms

Foroozandeh M, Salemi F, Shokri A, Farhadian N, Aeini N, Hassanzadeh R

Purpose: The aim of this study was to compare the accuracy of AI-based AudaxCeph software, Dolphin software, and the manual technique for identifying orthodontic landmarks and tracing lateral cephalograms. Materials and...
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The impact of study design on the efficacy of cone-beam computed tomography in detecting vertical root fractures: Why are the results conflicting?

Azarm A, Sajjad SMM

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