Literature DB >> 32395820

Impact of motion artefacts and motion-artefact correction on diagnostic accuracy of apical periodontitis in CBCT images: an ex vivo study in human cadavers.

R Spin-Neto1, C Kruse1, L Hermann1, L-L Kirkevang1, A Wenzel1.   

Abstract

AIM: To assess the impact of motion artefacts and motion-artefact correction on diagnostic accuracy of apical periodontitis (AP) in CBCT images.
METHODOLOGY: Based on clinical and radiographic inspection of 40 formalin-fixated human jaw specimens, 77 roots in 45 teeth (molars and premolars), with various disease and treatment state, were selected. The specimens were mounted on a robot simulating 3-mm movement types (nodding, lateral rotation and tremor). CBCT images with and without (controls) movements were acquired in four CBCT units: without motion-artefact correction in Cranex 3Dx, Orthophos SL 3D, and Promax 3D Mid, and with motion-artefact correction in Promax 3D Mid and X1. Three observers blindly assessed (i) whether the images were interpretable and (ii) if AP was present (5-step probability index). Histopathology provided the reference standard for presence of AP. Weighted Kappa statistics described inter-observer agreement. Estimates of diagnostic accuracy were assessed by means of receiver operator characteristic (ROC) curve analysis. Area under the curve (AUC) provided a measure of accuracy, and paired-sample AUC difference tests compared differences amongst the CBCT units and movement types.
RESULTS: Observer agreement was substantial for control images, moderate for motion-artefact corrected images and fair for images without motion-artefact correction. When movement was present, motion-artefact correction reduced the percentage of images scored as noninterpretable or with uncertain disease state (score 3 in the 5-step probability index). Control images were not perfectly accurate (both false-positive and false-negative results were present; AUC 0.750-0.799). Images acquired with movement and without motion-artefact correction (AUC 0.541-0.709) were associated with significantly lower accuracy than control images (P < 0.05). With motion-artefact correction, accuracy was comparable to that observed in control images (AUC 0.732-0.790).
CONCLUSIONS: Diagnostic accuracy of apical periodontitis in CBCT images was dependent on the presence of motion artefacts (i.e. lower accuracy associated with the presence of movement). Motion-artefact correction systems positively influenced image interpretability and diagnostic accuracy.
© 2020 International Endodontic Journal. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  apical periodontitis; cone beam CT; diagnostic accuracy; motion artefacts

Mesh:

Year:  2020        PMID: 32395820     DOI: 10.1111/iej.13326

Source DB:  PubMed          Journal:  Int Endod J        ISSN: 0143-2885            Impact factor:   5.264


  6 in total

1.  Endodontic working length measurements of premolars and molars in high-resolution dental MRI: a clinical pilot study for assessment of reliability and accuracy.

Authors:  Mousa Zidan; Franz S Schwindling; Alexander Juerchott; Johannes Mente; Holger Gehrig; Mathias Nittka; Zahra Hosseini; Johann M E Jende; Sabine Heiland; Martin Bendszus; Tim Hilgenfeld
Journal:  Clin Oral Investig       Date:  2022-07-21       Impact factor: 3.606

2.  Objective assessment of the combined effect of exomass-related- and motion artefacts in cone beam CT.

Authors:  Matheus Lima Oliveira; Amanda P Candemil; Deborah Q Freitas; Francisco Haiter-Neto; Ann Wenzel; Rubens Spin-Neto
Journal:  Dentomaxillofac Radiol       Date:  2020-08-19       Impact factor: 2.419

Review 3.  A meta-review of effective doses in dental and maxillofacial cone beam CT using the ROBIS tool.

Authors:  Ayman Al-Okshi; Keith Horner; Madeleine Rohlin
Journal:  Br J Radiol       Date:  2021-05-27       Impact factor: 3.629

4.  Graph-Based Motion Artifacts Detection Method from Head Computed Tomography Images.

Authors:  Yiwen Liu; Tao Wen; Wei Sun; Zhenyu Liu; Xiaoying Song; Xuan He; Shuo Zhang; Zhenning Wu
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

5.  Head motion and perception of discomfort by young children during simulated CBCT examinations.

Authors:  Rubens Spin-Neto; Louise Hauge Matzen; Louise Hermann; João Marcus de Carvalho E Silva Fuglsig; Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2020-10-30       Impact factor: 2.419

Review 6.  Present status and future directions: vertical root fractures in root filled teeth.

Authors:  Shanon Patel; Bhavin Bhuva; Rahul Bose
Journal:  Int Endod J       Date:  2022-04-15       Impact factor: 5.165

  6 in total

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