Evaluation of Pathologists (Histopathology) and Radiologists (Cone Beam Computed Tomography) Differentiating Radicular Cysts from Granulomas

Rosenberg, Paul A.; Frisbie, Jared; Lee, Jae‐Hoon; Lee, Kyung Hwa; Frommer, Herbert H.; Kottal, Shailesh; Phelan, Joan; Lin, Louis M.; Fisch, Gene S.

doi:10.1016/j.joen.2009.11.005

Cited by 114 publications

(122 citation statements)

References 25 publications

Supporting

Mentioning

101

Contrasting

Unclassified

Order By: Relevance

“…It can be seen that the error margins for some CBCT protocols are well below the proposed HU ranges, showing that density estimations with reasonable accuracy would be possible for implant planning using these CBCT protocols. However, previous studies have used CBCT grey values for the differential diagnosis and follow-up of bony lesions [29][30][31][32]. Based on the current results, the quantitative use of CBCT grey values for differentiating lesions should be generally avoided.…”

Section: Discussionmentioning

confidence: 87%

Variability of dental cone beam CT grey values for density estimations

Pauwels

Nackaerts²,

Bellaiche³

et al. 2013

BJR

128

112

View full text Add to dashboard Cite

Objective: The aim of this study was to investigate the use of dental cone beam CT (CBCT) grey values for density estimations by calculating the correlation with multislice CT (MSCT) values and the grey value error after recalibration. Methods: A polymethyl methacrylate (PMMA) phantom was developed containing inserts of different density: air, PMMA, hydroxyapatite (HA) 50 mg cm 23, HA 100, HA 200 and aluminium. The phantom was scanned on 13 CBCT devices and 1 MSCT device. Correlation between CBCT grey values and CT numbers was calculated, and the average error of the CBCT values was estimated in the medium-density range after recalibration. Results: Pearson correlation coefficients ranged between 0.7014 and 0.9996 in the full-density range and between 0.5620 and 0.9991 in the medium-density range. The average error of CBCT voxel values in the medium-density range was between 35 and 1562. Conclusion: Even though most CBCT devices showed a good overall correlation with CT numbers, large errors can be seen when using the grey values in a quantitative way. Although it could be possible to obtain pseudo-Hounsfield units from certain CBCTs, alternative methods of assessing bone tissue should be further investigated. Advances in knowledge: The suitability of dental CBCT for density estimations was assessed, involving a large number of devices and protocols. The possibility for grey value calibration was thoroughly investigated.

show abstract

Section: Discussionmentioning

confidence: 87%

Variability of dental cone beam CT grey values for density estimations

Pauwels

Nackaerts²,

Bellaiche³

et al. 2013

BJR

128

112

View full text Add to dashboard Cite

show abstract

“…2 for dental wear frequency distribution per population). In order to evaluate dentoalveolar structures and structural changes due to pathology we established a dentognathic pathology classification protocol, which is based on existing clinical classifications (Le Fort 1901;Bjork A et al 1964;Baume LJ et al 1973;McNeill et al 1980;Clarkson and O'Mullane 1989;Varrela and Paunio 1994;Ramachandran Nair et al 1996;Armitage 1999;Floyd et al 1999;Lieverse 1999;Huumonen and Ørstavik 2002;Bakland and Andreasen 2004;Nair 2004;Schulze et al 2006;Hassan R. and Rahimmah 2007;Ismail et al 2007;Selwitz et al 2007;Buitrago-Téllez et al 2008;Ogden 2008;Pinheiro et al 2008;Rosenberg et al 2010). We grouped DP features into 9 classes, and scored each feature according to location, and according to presence/absence or level of expression.…”

Section: Measurementsmentioning

confidence: 99%

Comparative analysis of dentognathic pathologies in the Dmanisi mandibles

Margvelashvili

Zollikofer

Lordkipanidze

et al. 2016

American J Phys Anthropol

View full text Add to dashboard Cite

Objectives: Due to the scarcity of the fossil record, in-vivo changes in the dentognathic system of early Homo are typically documented at the level of individual fossil specimens, and it remains difficult to draw population-level inferences about dietary habits, diet-related activities and lifestyle from individual patterns of dentognathic alterations. The Plio-Pleistocene hominin sample from Dmanisi (Georgia), dated to 1.77 million years ago, offers a unique opportunity to study in-vivo changes in the dentognathic system of individuals belonging to a single paleodeme of early Homo. Materials and Methods: We analyze dentognathic pathologies in the Dmanisi sample, and in comparative samples of modern Australian and Greenlander hunter-gatherer populations, applying clinical protocols of dentognathic diagnostics. Results: The Dmanisi hominins exhibit a similarly wide diversity and similar incidence of dentognathic pathologies as the modern human hunter-gatherer population samples investigated here. Dmanisi differs from the modern population samples in several respects: At young age tooth wear is already advanced, and pathologies are more prevalent. At old age, hypercementosis is substantial. Discussion: Results indicate that dentognathic pathologies and disease trajectories are largely similar in early Homo and modern humans, but that the disease load was higher in early Homo, probably as an effect of higher overall stress on the dentognathic system. Key words: aging, tooth wear, caries, periodontitisThe Plio-Pleistocene site of Dmanisi has yielded a large sample of hominin fossils associated with abundant and diverse faunal remains and Mode I stone artifacts (Gabunia et al. 2001;Ferring et al. 2011;Mgeladze et al. 2011). Occupation of the site began shortly after 1.85 Ma. The fossil hominin finds are dated to 1.77 Ma (Ferring et al. 2011). Dmanisi thus represents the earliest evidence of Homo outside of Africa. The well-preserved cranial, mandibular and postcranial remains of five individuals are unique in offering detailed insights into patterns of morphological variation within a paleodeme of early Homo, and into patterns of growth and aging Margvelashvili et al. 2013;Zollikofer et al. 2014). The craniomandibular morphology of the Dmanisi paleodeme has been described previously (Gabunia and Vekua 1995;Gabunia et al. 2000;Gabunia et al. 2001;Gabounia et al. 2002;Lordkipanidze et al. 2005;Lordkipanidze et al. 2006;Rightmire et al. 2006;Rightmire and Lordkipanidze 2010;Lordkipanidze et al. 2013;Margvelashvili et al. 2013). Cranial and mandibular morphological variation within the Dmanisi paleodeme is wide, but well within the range of variation seen in modern humans populations, and in populations of chimpanzee subspecies (Skinner et al. 2006;Lordkipanidze et al. 2013;Margvelashvili et al. 2013;Zollikofer et al. 2014). Variation in size, shape and dentognathic features among the Dmanisi mandibles has received special attention and has been studied to address questions of phylogeny, taxonomy, sexual dimorphism, die...

show abstract

“…In a comparative study by Ma et al [27] CBCT identifi ed 59.4% and conventional radiography identifi ed 39.6% of the apical periodontitis lesions. Rosenberg et al [28] evaluated the effi cacy of CBCT in diff erentiating perapical cysts from granulomas in contrast to histopathology. It was concluded that surgical biopsy and histopathology still remained as the standard procedure for identifi cation of periapical cysts and granulomas.…”

Section: Periapical Lesionsmentioning

confidence: 99%

Cone beam computed tomography: Adding three dimensions to endodontics

Patil¹,

Prasad²,

K³

2015

IDJAR

View full text Add to dashboard Cite

The need for evaluating the structures in three dimensions led to the revolutionary invention of cone beam computed tomography (CBCT). CBCT had found its application in various regions of dentistry. The literature demonstrates the use of CBCT for specifi c endodontic applications. The purpose of this article is to review the history and evolution of CBCT, its advantages over conventional radiography and to discuss the literature validating its application in endodontics.

show abstract

Evaluation of Pathologists (Histopathology) and Radiologists (Cone Beam Computed Tomography) Differentiating Radicular Cysts from Granulomas

Cited by 114 publications

References 25 publications

Variability of dental cone beam CT grey values for density estimations

Variability of dental cone beam CT grey values for density estimations

Comparative analysis of dentognathic pathologies in the Dmanisi mandibles

Cone beam computed tomography: Adding three dimensions to endodontics

Contact Info

Product

Resources

About