Introduction: Imaging methods are essential for the correct identification of root canal anatomy, which is a key factor for successful endodontic therapy. This study aimed to evaluate the performance of periapical radiography (PR) and cone-beam computed tomographic (CBCT) imaging in identifying the apical delta (AD) using micro-computed tomographic imaging as the gold standard.
Methods: PR and CBCT images of 110 human premolars (120 root canals) were obtained using the VistaScan digital intraoral system (Durr Dental, Beitigheim-Bissinger, Germany) and the 3D Accuitomo CBCT unit (J Morita, Kyoto, Japan), respectively. Two oral radiologists assessed the PR and CBCT images for the presence of ADs using a 5-point scale. Additionally, in the CBCT images, the number of apical foramina was also evaluated. The gold standard was established by means of micro-computed tomographic imaging. The diagnostic values related to PR and CBCT imaging were compared using the McNemar test. The detection of the number of foramina was compared using the paired t test (α ≤ 0.05).
Results: ADs were present in 40 root canals (33.3%). Both PR and CBCT images differed significantly from the gold standard (P < .05) in the detection of ADs. CBCT imaging showed higher values than PR for all diagnostic tests (P < .05). Despite the moderate accuracy of PR (0.62) and CBCT imaging (0.73), these methods presented very low sensitivity values (0.07 and 0.35 for PR and CBCT, respectively). CBCT imaging had a tendency of underestimating the number of foramina (P < .05).
Conclusions: CBCT imaging showed better performance than PR in the detection of ADs; both imaging modalities underestimate its presence when compared with the gold standard. In general, the number of apical foramina cannot be reliably assessed using CBCT imaging.
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http://dx.doi.org/10.1016/j.joen.2019.02.022 | DOI Listing |
Oral Radiol
December 2024
Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, 25240, Turkey.
Objective: The aim of this study is to determine the contact relationship and position of impacted mandibular third molar teeth (IMM) with the mandibular canal (MC) in panoramic radiography (PR) images using deep learning (DL) models trained with the help of cone beam computed tomography (CBCT) and DL to compare the performances of the architectures.
Methods: In this study, a total of 546 IMMs from 290 patients with CBCT and PR images were included. The performances of SqueezeNet, GoogLeNet, and Inception-v3 architectures in solving four problems on two different regions of interest (RoI) were evaluated.
J Imaging
December 2024
Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
In recent years, synthetic Computed Tomography (CT) images generated from Magnetic Resonance (MR) or Cone Beam Computed Tomography (CBCT) acquisitions have been shown to be comparable to real CT images in terms of dose computation for radiotherapy simulation. However, until now, there has been no independent strategy to assess the quality of each synthetic image in the absence of ground truth. In this work, we propose a Deep Learning (DL)-based framework to predict the accuracy of synthetic CT in terms of Mean Absolute Error (MAE) without the need for a ground truth (GT).
View Article and Find Full Text PDFJ Pers Med
December 2024
Radiological Sciences Section, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, AOUP "Paolo Giaccone", Via del Vespro 129, 90127 Palermo, Italy.
Nasal and paranasal sinus masses can arise from a wide range of conditions, both benign and malignant, as well as congenital or acquired. Diagnosing these masses is often challenging, requiring a combination of nasal endoscopy, imaging studies, and histopathological analysis. Initial imaging frequently involves computed tomography or cone beam computed tomography (CBCT) to evaluate the bony anatomy of the nasal cavity and surrounding sinuses, while magnetic resonance imaging (MRI) is typically used for detailed assessment of soft tissues and to aid in differential diagnosis when the findings are inconclusive.
View Article and Find Full Text PDFCurr Oncol
December 2024
Specialty Hospital Radiochirurgia Zagreb, 10431 Sveta Nedelja, Croatia.
We present a patient treated with personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) for non-small cell lung cancer (NSCLC) using the adaptive Varian Ethos™ system equipped with the novel HyperSight imaging platform. Three pulses of 12 Gy were separated by a pause of four weeks during which the tumor was given enough time to respond to treatment. Only initial planning computed tomography (CT) was acquired on a CT simulator (Siemens Somatom Definition Edge), whereas other pulses were adapted using online cone beam computed tomography (CBCT) images (iCBCT Acuros reconstruction) acquired while the patient was lying on the treatment couch and delivered immediately.
View Article and Find Full Text PDFDent J (Basel)
December 2024
Department of Oral and Maxillofacial Implantology, Kanagawa Dental University, Yokosuka 238-8580, Japan.
: The measurement of Hounsfield units (HU) during implant treatment planning is important. Currently, various manufacturers' implant planning software programs offer HU capabilities; however, their accuracy remains unverified. In this study, we aimed to validate the accuracy of HU values measured by implant planning software programs.
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