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1.
J Am Dent Assoc ; 154(2): 111, 2023 02.
Article in English | MEDLINE | ID: mdl-36566149
2.
J Am Dent Assoc ; 153(10): 989-995, 2022 10.
Article in English | MEDLINE | ID: mdl-35985884

ABSTRACT

BACKGROUND: The safety of dental radiography performed on pregnant patients has been a controversial topic since the 1960s. This review synthesizes and consolidates findings, from 1957 through 2021, of the effects dental ionizing radiation could have on a pregnant patient and in utero birth defects. TYPES OF STUDIES REVIEWED: Using PubMed, the following key words were searched: pregnancy, radiology, radiograph, radiation dose, fetus, x-ray, and dental. Criteria evaluation was done on the basis of availability, completeness, quality, relevance, technicality (that is, dental radiography), topicality (that is, pregnant patients), and usability. These results were then filtered on the basis of quantitative and qualitative data as well as the period (decades within the historical framework). The final selection of relevant literature consisted of various studies including cohort studies, systematic reviews, meta-analyses, case reports, and other narrative reviews. RESULTS: If properly performed, the amount of ionizing radiation produced during dental radiographic procedures is so low that it is unlikely to reach the teratogenic threshold. Thus, dental ionizing radiation is unlikely to cause in utero birth defects because it has been detected to have a deterministic (not stochastic) effect. With this information and historical context, this article shows that necessary dental radiography is safe at any stage during pregnancy, as long as proper safety equipment is appropriately used. CONCLUSIONS AND PRACTICAL IMPLICATIONS: As technology advances, more research can further clarify ionizing radiation safety for pregnant patients and its potential effects on in utero birth defects, improving overall oral health care. The dental community must remain educated about current ionizing radiation safety guidelines to make better-informed decisions and successfully provide proper oral health care to pregnant patients.


Subject(s)
Fetus , Radiation, Ionizing , Female , Fetus/radiation effects , Humans , Pregnancy , Radiation Dosage , Radiography, Dental/adverse effects
3.
Cureus ; 14(1): e21777, 2022 Jan.
Article in English | MEDLINE | ID: mdl-35251847

ABSTRACT

INTRODUCTION: Segmentation of dental radiographs is a comprehensive subject in oral care and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic process for oral and maxillofacial radiologists. PURPOSE: This paper will provide an in-depth analysis of the latest benchmarks in oral imaging by studying the segmentation of panoramic radiographs using Trainable WEKA (Waikato Environment for Knowledge Analysis) Segmentation (TWS). The aim of this research is to accurately automate segmentation where it can be implemented on a large scale of clients in order to simplify radiological diagnosis. METHODS AND MATERIALS: The experimentation was conducted by modifying open-source radiographs from UFBA UESC DENTAL IMAGES dataset. In order to simulate realistic conditions such as noise affecting regions of interest, panoramic radiographs were degraded and blurred with Gaussian noise. Accuracy was quantified by measuring the difference between the automated image and the dentist-annotated image using MorphoLibJ. To ensure the precision in results, automated predicted segmentations were observed by an oral maxillofacial radiologist and compared with the dentist-renditioning annotations of the panoramic radiographs (orthopantomograms). RESULTS: The TWS classifier on radiographs with an average of 32 teeth and greater (Dice value of 0.66) and an average of less than 32 teeth (F1 score of 0.59) was significant. The calculated t-value for the Jaccard index is 2.78 and the t-value for the Dice score is 2.81. The results, considering the statistical scores, were due to the independent variable. The radiographs with 32 teeth and greater had higher Intersection over Union scores and F1 scores because of less discrepancy in tooth alignment. CONCLUSIONS: Segmentation of dental radiographs can be conducted by machine learning instead of manual segmentation.

4.
Imaging Sci Dent ; 46(2): 141-4, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27358822

ABSTRACT

The aim of this report is to present two cases of canalis basilaris medianus as identified on cone-beam computed tomography (CBCT) in the base of the skull. The CBCT data sets were sent for radiographic consultation. In both cases, multi-planar views revealed an osseous defect in the base of the skull in the clivus region, the sagittal view showed a unilateral, well-defined, non-corticated, track-like low-attenuation osseous defect in the clivus. The appearance of the defect was highly reminiscent of a fracture of the clivus. The borders of osseous defect were smooth, and no other radiographic signs suggestive of osteolytic destructive processes were noted. Based on the overall radiographic examination, a radiographic impression of canalis basilaris medianus was made. Canalis basilaris medianus is a rare anatomical variant and is generally observed on the clivus. Due to its potential association with meningitis, it should be recognized and reported to avoid potential complications.

6.
Dent Clin North Am ; 52(4): 825-41, vii, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18805231

ABSTRACT

Cone-beam CT (CBCT) is useful for many maxillofacial applications, such as implant site imaging and diagnosis and treatment planning for orthodontics and craniofacial surgery. Dentoalveolar applications, such as carious lesion detection and characterization, assessment of the three-dimensional nature of periodontal bone topography, and various endodontic applications are less known and not as thoroughly studied. This article explores and assesses in vivo and in vitro efforts to apply CBCT imaging to these more common dentoalveolar tasks. CBCT imaging, like its medical counterpart, can be seen as a highly useful and, in some instances, indispensable part of the dental imaging armamentarium.


Subject(s)
Alveolar Process/diagnostic imaging , Cone-Beam Computed Tomography/methods , Dental Caries/diagnostic imaging , Radiography, Dental/methods , Root Canal Therapy/methods , Dental Pulp Cavity/diagnostic imaging , Dental Pulp Diseases/diagnostic imaging , Humans , Imaging, Three-Dimensional/methods , Periapical Diseases/diagnostic imaging , Periodontal Diseases/diagnostic imaging , Tooth Root/diagnostic imaging
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