2013
DOI: 10.1016/j.oooo.2013.01.026
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Number of basis images effect on detection of root fractures in endodontically treated teeth using a cone beam computed tomography machine: an in vitro study

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Cited by 46 publications
(48 citation statements)
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“…21,30 Bechara et al 16 observed that doubling up the number of base images during acquisition promoted a significant decrease in the number of false-positive diagnosis of root fractures, thereby being an option to reduce artefacts caused by high-density objects. On the other hand, Neves et al 15 also increased the number of base images for diagnosing root fractures in the presence of metal posts but observed no improvement and concluded that such an approach does not help with root fracture diagnosis.…”
Section: Discussionmentioning
confidence: 99%
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“…21,30 Bechara et al 16 observed that doubling up the number of base images during acquisition promoted a significant decrease in the number of false-positive diagnosis of root fractures, thereby being an option to reduce artefacts caused by high-density objects. On the other hand, Neves et al 15 also increased the number of base images for diagnosing root fractures in the presence of metal posts but observed no improvement and concluded that such an approach does not help with root fracture diagnosis.…”
Section: Discussionmentioning
confidence: 99%
“…Artefacts affect image quality and may increase difficulty of root fracture diagnosis substantially. 4,12,[15][16][17][18] In teeth with intracanal fillings, artefacts occur owing to differences in the attenuation and absorption of X-ray beams by high-density material physics that cause beam-hardening phenomenon. The resulting image is altered by hypodense bands (dark bands), hyperdense striations (white streaks) and distortion of metal objects (cupping artefacts), which can all interfere with fracture detection and may lead to falsepositive results.…”
Section: Introductionmentioning
confidence: 99%
“…On the contrary, Bechara et al 2012 [7] reported lowered accuracy while using MAR algorithm. This can be explained by their usage of phantoms in their study.…”
Section: Discussionmentioning
confidence: 97%
“…[11] CBCT with high resolution and MAR showed lower sensitivity than CBCT without (MAR) and this is attributed to that AR algorithm is activated based on a threshold. Any structure denser than the threshold will be corrected, all the attenuation information from high-density objects is removed as well, which may decrease the ability to confirm presence of fracture (true positive fracture), [7] however, this AR algorithm showed the highest specificity due to its higher ability to confirm absence of fractures (true negative fracture) due to decreased metal artifacts that may mimic fractures.…”
Section: Discussionmentioning
confidence: 99%
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