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Reproducibility of CBCT image analysis: a clinical study on intrapersonal and interpersonal errors in bone structure determination

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Abstract

Objective

For correct implant planning based on cone-beam computed tomography (CBCT), the bone contour must be accurately determined. Identification of the contour is difficult in bones with incomplete mineralization. In this clinical study, we investigated the intrapersonal and interpersonal reproducibilities of manual bone contour determination on CBCT images using a semi-automated computerized process.

Methods

The bone surface level in the area of the socket in 20 patients who had undergone tooth extraction from the upper jaw at 10 ± 1 weeks previously was determined on CBCT images. Two investigators with different levels of experience determined the bone structure initially (T0) and repeated the procedure after 3 months (T1). The bone structure marked on CBCT images was converted into a surface data set. The resulting data sets were superimposed on one another. In the analyses, the shortest distances between the datasets were identified and measured. The average deviations were statistically evaluated.

Results

The intrapersonal evaluation resulted in an average deviation of 0.18 mm across both investigators. The interpersonal analysis comparing the two investigators resulted in average deviations of 0.15 mm at T0 and 0.26 mm at T1. Significant differences were not found.

Conclusions

The low intrapersonal deviation indicates that the procedure has satisfactory reproducibility. All deviations were within the range of the selected resolution of the CBCT device. Application of a semi-automated procedure to detect the bone border in areas with incomplete mineralization is a predictable process.

Trial registration

The study was registered in the German Clinical Trials Register and the International Clinical Trials Registry Platform of the WHO: DRKS00004769, date of registration: 28 February 2013; and DRKS00005978, date of registration: 09 November 2015.

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References

  1. Kieferheilkunde DGfZ-Mu. s2k-Leitlinie. Dentale digitale Volumentomographie. 2013; (Maxillofacial Surgery. DGfZ-Mu. s2k guideline. Dental digital volume tomography). http://www.dgzmk.de/uploads/tx_szdgzmkdocuments/20120508_Leitlinie_navigierte_Implantatinsertion.pdf2012

  2. Schnutenhaus S, Edelmann C, Rudolph H, Luthardt RG. Retrospective study to determine the accuracy of template-guided implant placement using a novel nonradiologic evaluation method. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;121:e72–9.

    Article  PubMed  Google Scholar 

  3. Vercruyssen M, Cox C, Coucke W, Naert I, Jacobs R, Quirynen M. A randomized clinical trial comparing guided implant surgery (bone- or mucosa-supported) with mental navigation or the use of a pilot-drill template. J Clin Periodontol. 2014;41:717–23.

    Article  PubMed  Google Scholar 

  4. Widmann G, Bale RJ. Accuracy in computer-aided implant surgery—a review. Int J Oral Maxillofac Implants. 2006;21:305–13.

    PubMed  Google Scholar 

  5. Ludlow JB, Davies-Ludlow LE, Brooks SL, Howerton WB. Dosimetry of 3 CBCT devices for oral and maxillofacial radiology: CB Mercuray, NewTom 3G and i-CAT. Dentomaxillofac Radiol. 2006;35:219–26.

    Article  PubMed  Google Scholar 

  6. Pauwels R, Jacobs R, Singer SR, Mupparapu M. CBCT-based bone quality assessment: are Hounsfield units applicable? Dentomaxillofac Radiol. 2015;44:20140238.

    Article  PubMed  Google Scholar 

  7. Schulze R, Heil U, Gross D, Bruellmann DD, Dranischnikow E, Schwanecke U, et al. Artefacts in CBCT: a review. Dentomaxillofac Radiol. 2011;40:265–73.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kim DG. Can dental cone beam computed tomography assess bone mineral density? J Bone Metab. 2014;21:117–26.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Reeves TE, Mah P, McDavid WD. Deriving Hounsfield units using grey levels in cone beam CT: a clinical application. Dentomaxillofac Radiol. 2012;41:500–8.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Campos MJ, de Souza TS, Mota Junior SL, Fraga MR, Vitral RW. Bone mineral density in cone beam computed tomography: only a few shades of gray. World J Radiol. 2014;6:607–12.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Al-Ekrish AA, Ekram M. A comparative study of the accuracy and reliability of multidetector computed tomography and cone beam computed tomography in the assessment of dental implant site dimensions. Dentomaxillofac Radiol. 2011;40:67–75.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Patrick S, Birur NP, Gurushanth K, Raghavan AS, Gurudath S. Comparison of gray values of cone-beam computed tomography with hounsfield units of multislice computed tomography: an in vitro study. Indian J Dent Res. 2017;28:66–70.

    Article  PubMed  Google Scholar 

  13. Luongo F, Mangano FG, Macchi A, Luongo G, Mangano C. Custom-made synthetic scaffolds for bone reconstruction: a retrospective, multicenter clinical study on 15 patients. Biomed Res Int. 2016;2016:5862586.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Schnutenhaus S, Dreyhaupt J, Doering I, Rudolph H, Luthardt RG. Alveolar ridge preservation as a way to reduce the need for bone augmentation: implementation of a mew, non-invasive method of measuring bone preservation: study protocol of a randomized controlled clinical trial and feasibility testing results. Int J Clin Res Trials. 2017;2:116.

    Article  Google Scholar 

  15. Moher D, Schulz KF, Altman DG, Consort. The CONSORT statement: revised recommendations for improving the quality of reports of parallel group randomized trials. BMC Med Res Methodol. 2001;1:2.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. J Pharmacol Pharmacother. 2010;1:100–7.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol. 2010;63:e1–37.

    Article  PubMed  Google Scholar 

  18. Schlicher W, Nielsen I, Huang JC, Maki K, Hatcher DC, Miller AJ. Consistency and precision of landmark identification in three-dimensional cone beam computed tomography scans. Eur J Orthod. 2012;34:263–75.

    Article  PubMed  Google Scholar 

  19. Katkar RA, Kummet C, Dawson D, Moreno Uribe L, Allareddy V, Finkelstein M, et al. Comparison of observer reliability of three-dimensional cephalometric landmark identification on subject images from Galileos and i-CAT cone beam CT. Dentomaxillofac Radiol. 2013;42:20130059.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gupta A, Kharbanda OP, Sardana V, Balachandran R, Sardana HK. Accuracy of 3D cephalometric measurements based on an automatic knowledge-based landmark detection algorithm. Int J Comput Assist Radiol Surg. 2016;11:1297–309.

    Article  PubMed  Google Scholar 

  21. Baumgaertel S, Palomo JM, Palomo L, Hans MG. Reliability and accuracy of cone-beam computed tomography dental measurements. Am J Orthod Dentofacial Orthop. 2009;136:19–25. (discussion 8).

    Article  PubMed  Google Scholar 

  22. Santos Tde S, Gomes AC, de Melo DG, Melo AR, Cavalcante JR, de Araujo LC, et al. Evaluation of reliability and reproducibility of linear measurements of cone-beam-computed tomography. Indian J Dent Res. 2012;23:473–8.

    Article  PubMed  Google Scholar 

  23. Tomasi C, Bressan E, Corazza B, Mazzoleni S, Stellini E, Lith A. Reliability and reproducibility of linear mandible measurements with the use of a cone-beam computed tomography and two object inclinations. Dentomaxillofac Radiol. 2011;40:244–50.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Alpert HR, Hillman BJ. Quality and variability in diagnostic radiology. J Am Coll Radiol. 2004;1:127–32.

    Article  PubMed  Google Scholar 

  25. Robinson PJ. Radiology’s Achilles’ heel: error and variation in the interpretation of the Rontgen image. Br J Radiol. 1997;70:1085–98.

    Article  PubMed  Google Scholar 

  26. Mangano FG, Zecca PA, van Noort R, Apresyan S, Iezzi G, Piattelli A, et al. Custom-made computer-aided-design/computer-aided-manufacturing biphasic calcium-phosphate scaffold for augmentation of an atrophic mandibular anterior ridge. Case Rep Dent. 2015;2015:941265.

    PubMed  PubMed Central  Google Scholar 

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Funding

The study was funded by Resorba Medical GmbH (Nürnberg, Germany) and the Oral Reconstruction Foundation (Basel, Switzerland) (Grant No. CF 41305).

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Correspondence to Sigmar Schnutenhaus.

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Conflict of interest

Sigmar Schnutenhaus, Michael Graf, Isabel Doering, Ralph G. Luthardt, and Heike Rudolph declare no conflicts of interest.

Ethical approval

The Ethical Committee of the Medical Faculty of Ulm University approved the current study design (processing number: 337/12 and 41/14). The trial was registered at the German Clinical Trial Registry and the International Clinical Trials Registry Platform of the WHO, with assigned numbers DRKS00004769 and DRKS00005978.

Human right statement

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and later versions.

Informed consent

Informed consent was obtained from all patients for being included in the study.

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Schnutenhaus, S., Graf, M., Doering, I. et al. Reproducibility of CBCT image analysis: a clinical study on intrapersonal and interpersonal errors in bone structure determination. Oral Radiol 35, 152–158 (2019). https://doi.org/10.1007/s11282-018-0340-1

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  • DOI: https://doi.org/10.1007/s11282-018-0340-1

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