Positioning errors and quality assessment in panoramic radiography

Dhillon, Manu; Raju, SM; Verma, Sankalp; Tomar, Divya; Mohan, Ravi Prakash Sasankoti; Lakhanpal, Manisha; Krishnamoorthy, B

doi:10.5624/isd.2012.42.4.207

Cited by 53 publications

(88 citation statements)

References 15 publications

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“…Malpositioning was the most frequent error encountered in OPG procedures in DHTP. In the present study there were 88% of positioning errors and this finding is in agreement with most of the related studies [1,7,9,11,12]. It is a very high value although the films were not rejected due to any of these positioning errors.…”

Section: Discussionsupporting

confidence: 93%

“…It is a very high value although the films were not rejected due to any of these positioning errors. Tongue was not placed against the roof of the mouth; hence a dark radiolucent band over the roots of the upper teeth was resulted in 86 (34%) images as the most apparent positioning error and this is in agreement with results some previous studies [9]. In contrast to previous studies, among patient positioning errors slumped cervical spine was resulted in 54 (20%) of radiographs as the second most frequent error.…”

Section: Discussionsupporting

confidence: 88%

“…Patient positioning should be done with great care by radiographers [9]. As seen in most images we can conclude that patients were not instructed well about how they should be positioned during the exposure.…”

Section: Discussionmentioning

confidence: 93%

“…As seen in most images we can conclude that patients were not instructed well about how they should be positioned during the exposure. Hence, expending time in patient preparation, patient positioning and good communication with patients as well as the proper use of patient positioning apparatus as suggested by previous researches as well could decrease the number of positioning errors [9].…”

Section: Discussionmentioning

confidence: 99%

“…These are among difficult to produce as the anatomical region of interest (ROI) is more susceptible movements [8]. As well as the complexity of bony details of the ROI lead to difficulty in image interpretation [9]. Nevertheless, the final aim of OPG is to produce high diagnostic quality radiographs to provide better patient care through an accurate diagnosis.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Frequency of Errors in Conventional Panoramic Radiographs

Nileema¹

2016

IJDM

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Although use of conventional panoramic systems leads to degrade the image quality, it is still common in Sri Lanka. The objective of the study was to determine the frequency of errors occurred during Ortho Pantomo Graph (OPG) and to minimize the further occurrence. Two hundred and fifty OPGs were collected from Department of Radiology, Dental Hospital (Teaching) Peradeniya (DHTP). Quality of 250 OPGs was evaluated by one radiologist and a radiographer. Evaluators assessed all 250 radiographs for presence of errors in categories including patient preparation, patient positioning, patient motion, exposure, handling and processing. The frequency of each error was recorded. Further, number of repeated radiographs was also recorded. There were only 22 (9%) error-free OPGs. 228 (91%) radiographs had errors. 6% of OPGs were unacceptable and had to be re-taken. The frequencies of errors in conventional OPGs were relatively high in this study with patient positioning errors being the most frequent error.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of Frequency of Errors in Conventional Panoramic Radiographs

Nileema¹

2016

IJDM

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Prediction of maxillary canine impaction based on panoramic radiographs

Raes

Maria

Alqerban

et al. 2019

Clinical & Exp Dental Res

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Objectives The objective of this article is to establish a large sample‐based prediction model for maxillary canine impaction based on linear and angular measurements on panoramic radiographs and to validate this model. Materials and methods All patients with at least two panoramic radiographs taken between the ages of 7 and 14 years with an interval of minimum 1 year and maximum 3 years (T1 and T2) were selected from the Department of Oral Health Sciences, University Hospital Leuven database. Linear and angular measurements were performed at T1. From 2361 records, 572 patients with unilateral or bilateral canine impaction were selected at T1. Of those, 306 patients were still untreated at T2 and were used as study sample. To construct the prediction model, logistic regression analysis was used. Results The parameters analyzed through backward selection procedure were canine to midline angle, canine to first premolar angle, canine cusp to midline distance, canine cusp to maxillary plane distance, sector, quadratic trends for continuous predictors, and all pairwise interactions. The final model was applied to calculate the likelihood of impaction and yielded an area under the curve equal to 0.783 (95% CI [0.742–0.823]). The cut‐off point was fixed on 0.342 with a sensitivity of 0.800 and a specificity of 0.598. The cross‐validated area under the curve was equal to 0.750 (95% CI [0.700, 0.799]). Conclusion The prediction model based on the above mentioned parameters measured on panoramic radiographs is a valuable tool to decide between early intervention and regular follow‐up of impacted canines.

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Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion‐support vector machine

Rafati

Farnia

Romoozi

et al. 2021

Int J Imaging Syst Tech

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This article proposes an automatic method based on a combination of active shape model (ASM) and nonlinear support vector machine (SVM) accompanied with Bayesian information criterion which is utilized in order to measure radiomorphometric indices for digital X-ray panoramic system. After omitting Poisson noise of input images, the image is divided. It attempts to choose suitable region of interest (ROI) in order to extract indices. This region becomes small and smaller during some steps until the final ROI is found and the mandible's cortex and ramus are detected. Finally, because of measuring the required parameters, ASM and SVM are used in order to evaluate exact setting of the detected region. Experimental results show no significant differences between right and left sides in terms of mental index (MI), panoramic mandibular index (PMI), gonial angle (GA), gonial index (GI), antegonial index (AGI), ramus height (RH), and ramus width (RW); however, in terms of GI and AGI for both sexes. There are significant differences between men and women for all indices in the mandible (P-value <.05). There was a mild negative significant correlation among GA and MI, GI, AGI and a moderate negative significant correlation among GA and PMI, RH, RW for both genders (P-value <.05). Besides, it has been shown measuring the panoramic indices provide useful information about trauma and prediction of asymptomatic subjects with osteoporosis at an earlier step.

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Positioning errors and quality assessment in panoramic radiography

Cited by 53 publications

References 15 publications

Assessment of Frequency of Errors in Conventional Panoramic Radiographs

Assessment of Frequency of Errors in Conventional Panoramic Radiographs

Prediction of maxillary canine impaction based on panoramic radiographs

Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion‐support vector machine

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