A quantitative analysis of metal artifact reduction algorithm performance in volume correction with 3 CBCT devices

Vasconcelos, Karla de Faria; Queiroz, Polyane Mazucatto; Codari, Marina; Nicolielo, Laura Ferreira Pinheiro; Freitas, Deborah Queiroz; Jacobs, Reinhilde; Haiter-Neto, Francisco

doi:10.1016/j.oooo.2020.03.049

Cited by 14 publications

(11 citation statements)

References 32 publications

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“…Activation of the MAR algorithm, i.e., iterative reconstruction methods that allow reducing image interference is caused by metals or high-density objects by increasing the CNR [ 11 , 31 , 33 ]. The efficacy of MAR depends on the manufacturer of the radiographic machine [ 34 ]. In one study, cylinders made of titanium (Ti) and chromocobalt alloy (CrCo) were exposed to two CBCT devices: Picasso Trio (Vatech, South Korea) and ProMax (Planmeca, Helsinki, Finland).…”

Section: Reviewmentioning

confidence: 99%

The Impact of Cone-Beam Computed Tomography Exposure Parameters on Peri-Implant Artifacts: A Literature Review

Sawicki¹,

Zawadzki²,

Regulski³

2022

Cureus

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Cone-beam computed tomography (CBCT) amounts to an excellent diagnostic tool to evaluate the periimplant bone thickness in all dimensions. Despite the unquestionable advantages of CBCT, potential artifacts around dental implants might disturb the proper assessment of the surrounding structures. The artifacts may mask osseointegration, shallow bone defects, and other types of radiolucency, which make it difficult to establish an early diagnosis of bone loss. Proper diagnosis of bone defect is necessary to decide about surgical intervention. The aim of this literature review is to assess the CBCT exposure causing artifacts on the peri-implant structures. An electronic search of MEDLINE (PubMed) database includes studies published before July 2021 and supplemented by manual research. Clinical, ex vivo, in vitro, and animal studies evaluating the relationship between exposition parameters and occurrence of artifacts around the dental implant in CBCT studies were included. A literature review revealed that kilovoltage, tube current, and field of view may affect the occurrence of artifacts around dental implants, all of which would compromise radiological evaluation. Therefore, it is feasible to reduce the incidence of artifacts and improve the image quality by appropriate modification of the exposure parameters. However, the reduction of artifacts is often associated with a significant increase in radiation exposure; hence, an effort should be made to minimize the radiation dose in line with the ALARA (as low as reasonably achievable) principle.

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Section: Reviewmentioning

confidence: 99%

The Impact of Cone-Beam Computed Tomography Exposure Parameters on Peri-Implant Artifacts: A Literature Review

Sawicki¹,

Zawadzki²,

Regulski³

2022

Cureus

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“…A previous study reported no significant effect of MAR on grey values in the vicinity of dental implants (Parsa et al, 2014). Other investigations found a decrease in artefacts depending on CBCT equipment and material (De Faria Vasconcelos et al, 2020;Mancini et al, 2021). It is worth mentioning that studies in literature have mainly focused on evaluating image quality through quantitative methods.…”

Section: Introductionmentioning

confidence: 96%

“…Artefact generation has been studied and related to the CBCT unit (Freitas et al, 2018;Vasconcelos et al, 2019;De Faria Vasconcelos et al, 2020), artefact-generating material (Queiroz et al, 2018;Vasconcelos et al, 2019;De Faria Vasconcelos et al, 2020;Mancini et al, 2021), positioning (Vasconcelos et al, 2019) and scanning protocol (Freitas et al, 2018;Khosravifard et al, 2021;Mancini et al, 2021;Vasconcelos et al, 2019). To limit the effects of metal artefacts, algorithms for metal artefact reduction (MAR) were developed.…”

Section: Introductionmentioning

confidence: 99%

Influence of metal artefact reduction on the diagnosis of contact between implant and mandibular canal in cone beam computed tomography: An ex‐vivo study

Freitas

Motta

Pauwels

et al. 2023

Clinical Oral Implants Res

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Objective To evaluate the influence of metal artefact reduction (MAR) in the diagnosis of dental implant contact with the mandibular canal (MC) using cone beam computed tomography (CBCT). Methods Dental implants were installed with surgical guides in the posterior hemiarches of 10 dry human mandibles: 0.5 mm above to the MC cortex (G1/n = 8) and 0.5 mm inside the MC (G2/n = 10). The experimental set‐up was scanned with two CBCT equipment using 85 kV and 90 kV, MAR ON or OFF, and different tube currents (4 mA, 8 mA and 10 mA). Two dentomaxillofacial radiologists (DMFRs) and two dentists (DDS) scored the relation between the dental implant and MC. Descriptive statistics were used to observe the absolute frequency of scores. Sensitivity, specificity and accuracy were calculated considering the known relation between the dental implant and the MC interior. McNemar's test (α = .05) was applied to compare the diagnostic efficacy of MAR ON versus MAR OFF. Results Overall specificity was higher than sensitivity for both DDS and DMFR (97% vs. 50% and 92.0% vs. 78.0% respectively). There was a significant effect of MAR (p = .031) for DMFR in the case of contact between the dental implant with the MC interior, in which sensitivity decreased with MAR activation from 90% to 40%. DMFR observers showed a better diagnostic performance compared with the DDS observers (accuracy of 84.0% and 71.0%, respectively). Conclusions Due to the limited efficacy of MAR, it should not be used when conducting CBCT scans for the evaluation of contact between the implant and the mandibular canal.

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“…gutta‐percha, metal posts and crowns, and dental implants) (Fontenele et al, 2018; Gaêta‐Araujo et al, 2020). These artifacts include streaking, beam hardening, scatter, photon starvation, and blooming or volumetric distortion (Coelho‐Silva et al, 2021; de Faria Vasconcelos et al, 2020; Schulze et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…De Faria Vasconcelos et al (2020) quantitatively assessed the performance of metal artifact reduction (MAR) algorithms on metal cylinders (amalgam, copper‐aluminum [CuAl] alloy, and titanium), considering the influence of material, position, FOVs, and CBCT device (NewTom VGi evo, Picasso Trio, and ProMax 3‐D Max). MAR only had an impact on images containing amalgam and CuAl and only for the NewTom VGi evo and ProMax 3‐D Max scanners.…”

Section: Introductionmentioning

confidence: 99%

The impact of implant‐related characteristics on dental implant blooming: An in vitro study

Tarce

Greef

Lahoud

et al. 2022

Clinical Oral Implants Res

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Aim: To assess, in vitro, variables potentially influencing implant blooming using a human-like imaging phantom and 3D-printed mandibles.Material and Methods: Sixty implants were inserted in 3D-printed mandibles in 26 different configurations in order to examine the impact of implant diameter, presence of a cover screw, implant design/material, implant position, and the presence of additional implants on implant blooming using two cone-beam computed tomography (CBCT) devices (Accuitomo [ACC] and NewTom [NWT]). Two observers measured the amount of implant blooming in both buccolingual and mesiodistal directions.Inter-rater agreement and descriptive statistics, grouped by implant characteristic and CBCT device, were calculated. Results:Both CBCT devices increased implant diameter (a mean increase of 9.2% and 11.8% for titanium, 20.3% and 24.4% for zirconium, for ACC and NWT, respectively).An increase in implant diameter did not increase the amount of blooming, whereas placing a cover screw did (from 8.0% to 10.9% for ACC, and from 10.0% to 15.6% for NWT). Moreover, implant design, anatomical region, and the presence of another implant also affected the extent of the blooming.Conclusions: Dental implants show a clear diameter increase on CBCT, with the effect being more pronounced for zirconium than for titanium implants. Similar effects are likely to occur in the clinical setting, potentially masking nonosseointegration, reducing the dimensions of peri-implant defects, and/or causing underestimation of the buccal bone thickness.

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A quantitative analysis of metal artifact reduction algorithm performance in volume correction with 3 CBCT devices

Cited by 14 publications

References 32 publications

The Impact of Cone-Beam Computed Tomography Exposure Parameters on Peri-Implant Artifacts: A Literature Review

The Impact of Cone-Beam Computed Tomography Exposure Parameters on Peri-Implant Artifacts: A Literature Review

Influence of metal artefact reduction on the diagnosis of contact between implant and mandibular canal in cone beam computed tomography: An ex‐vivo study

The impact of implant‐related characteristics on dental implant blooming: An in vitro study

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