Literature DB >> 29026817

Comparing the Use of 3D Photogrammetry and Computed Tomography in Assessing the Severity of Single-Suture Nonsyndromic Craniosynostosis.

Olivia A Ho1, Nikoo Saber2, Derek Stephens2, April Clausen2, James Drake2, Christopher Forrest2, John Phillips2.   

Abstract

PURPOSE: Single-suture nonsyndromic craniosynostosis is diagnosed using clinical assessment and computed tomography (CT). With increasing awareness of the associated risks of radiation exposure, the use of CT is particularly concerning in patients with craniosynostosis since they are exposed at a younger age and more frequently than the average child. Three-dimensional (3D) photogrammetry is advantageous-it involves no radiation, is conveniently obtainable within clinic, and does not require general anaesthesia. This study aims to assess how 3D photogrammetry compares to CT in the assessment of craniosynostosis severity, to quantify surgical outcomes, and analyze the validity of 3D photogrammetry in craniosynostosis.
METHODS: Computed tomography images and 3D photographs of patients who underwent craniosynostosis surgery were assessed and aligned to best fit. The intervening area between the CT and 3D photogrammetry curves at the supraorbital bar (bandeau) level in axial view was calculated. Statistical analysis was performed using Student t test. Ninety-five percent confidence intervals were determined and equivalence margins were applied.
RESULTS: In total, 41 pairs of CTs and 3D photographs were analyzed. The 95% confidence interval was 198.16 to 264.18 mm2 and the mean was 231.17 mm2. When comparisons were made in the same bandeau region omitting the temporalis muscle, the 95% confidence interval was 108.94 to 147.38 mm2, and the mean was 128.16 mm2. Although statistically significant difference between the modalities was found, they can be attributable to the dampening effect of soft tissue.
CONCLUSION: Within certain error margins, 3D photogrammetry is comparable to CT in assessing the severity of single-suture nonsyndromic craniosynostosis. However, a dampening effect can be attributable to the soft tissue. Three-dimensional photogrammetry may be more applicable for severe cases of craniosynostosis but not milder deformity. It may also be beneficial for assessing the overall appearance and aesthetics but not for determining underlying bony severity.

Entities:  

Keywords:  3D photogrammetry; computed tomography; craniosynostosis; nonsyndromic; single-suture

Year:  2017        PMID: 29026817      PMCID: PMC5626179          DOI: 10.1177/2292550317694845

Source DB:  PubMed          Journal:  Plast Surg (Oakv)        ISSN: 2292-5503            Impact factor:   0.947


  9 in total

1.  Application of CAD/CAM prefabricated age-matched templates in cranio-orbital remodeling in craniosynostosis.

Authors:  Jonathan Burge; Nikoo R Saber; Thomas Looi; Brooke French; Zoha Usmani; Niloofar Anooshiravani; Peter Kim; Christopher Forrest; John Phillips
Journal:  J Craniofac Surg       Date:  2011-09       Impact factor: 1.046

2.  Anthropometric precision and accuracy of digital three-dimensional photogrammetry: comparing the Genex and 3dMD imaging systems with one another and with direct anthropometry.

Authors:  Seth M Weinberg; Sybill Naidoo; Daniel P Govier; Rick A Martin; Alex A Kane; Mary L Marazita
Journal:  J Craniofac Surg       Date:  2006-05       Impact factor: 1.046

3.  Objectification of cranial vault correction for craniosynostosis by three-dimensional photography.

Authors:  Jan-Falco Wilbrand; Alexander Szczukowski; Joerg-Christoph Blecher; Joern Pons-Kuehnemann; Petros Christophis; Hans-Peter Howaldt; Heidrun Schaaf
Journal:  J Craniomaxillofac Surg       Date:  2012-02-23       Impact factor: 2.078

4.  Associated (parallel) tomographic findings in patients with single-sutural synostosis.

Authors:  Renato da Silva Freitas; Thais de Freitas Azzolini; Joseph H Shin; John A Persing
Journal:  J Craniofac Surg       Date:  2010-03       Impact factor: 1.046

5.  Generation of normative pediatric skull models for use in cranial vault remodeling procedures.

Authors:  Nikoo R Saber; John Phillips; Thomas Looi; Zoha Usmani; Jonathan Burge; James Drake; Peter C W Kim
Journal:  Childs Nerv Syst       Date:  2011-11-17       Impact factor: 1.475

6.  Diagnostic pediatric computed tomographic scans of the head: actual dosage versus estimated risk.

Authors:  Daniel Jaffurs; Arlen Denny
Journal:  Plast Reconstr Surg       Date:  2009-10       Impact factor: 4.730

7.  The diagnosis and treatment of single-sutural synostoses: are computed tomographic scans necessary?

Authors:  Jeffrey A Fearon; Davinder J Singh; Stephen P Beals; Jack C Yu
Journal:  Plast Reconstr Surg       Date:  2007-10       Impact factor: 4.730

8.  Increasing concern regarding computed tomography irradiation in craniofacial surgery.

Authors:  Leahthan F Domeshek; Srinivasan Mukundan; Terry Yoshizumi; Jeffrey R Marcus
Journal:  Plast Reconstr Surg       Date:  2009-04       Impact factor: 4.730

9.  Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study.

Authors:  Mark S Pearce; Jane A Salotti; Mark P Little; Kieran McHugh; Choonsik Lee; Kwang Pyo Kim; Nicola L Howe; Cecile M Ronckers; Preetha Rajaraman; Alan W Sir Craft; Louise Parker; Amy Berrington de González
Journal:  Lancet       Date:  2012-06-07       Impact factor: 79.321

  9 in total
  3 in total

1.  3D Photography to Quantify the Severity of Metopic Craniosynostosis.

Authors:  Madeleine K Bruce; Wenzheng Tao; Justin Beiriger; Cameron Christensen; Miles J Pfaff; Ross Whitaker; Jesse A Goldstein
Journal:  Cleft Palate Craniofac J       Date:  2022-03-21

2.  The role of Nasoalveolar molding: A 3D Prospective analysis.

Authors:  Pang-Yun Chou; Rami R Hallac; Tochi Ajiwe; Xian-Jin Xie; Yu-Fang Liao; Alex A Kane; Yong Jong Park
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

3.  Cranial capacity measurement for modern Chinese adults based on 3D reconstruction.

Authors:  Yufeng Qian; Songou Zhang; Qihuan Tan; Jianyu Xia; Guoliang Jin
Journal:  Neurosciences (Riyadh)       Date:  2021-07       Impact factor: 0.906

  3 in total

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