J Shanghai Jiaotong Univ Sci ›› 2021, Vol. 26 ›› Issue (3): 284-289.doi: 10.1007/s12204-021-2294-4
SHI Junyu (史俊宇), LI Yuan (李元), ZHANG Xiao (张枭), ZHANG Xiaomeng (张晓梦), LAI Hongchang (赖红昌)
出版日期:
2021-06-28
发布日期:
2021-06-02
通讯作者:
LAI Hongchang (赖红昌)
E-mail:lhc9@hotmail.com
SHI Junyu (史俊宇), LI Yuan (李元), ZHANG Xiao (张枭), ZHANG Xiaomeng (张晓梦), LAI Hongchang (赖红昌)
Online:
2021-06-28
Published:
2021-06-02
Contact:
LAI Hongchang (赖红昌)
E-mail:lhc9@hotmail.com
Supported by:
摘要: The aim of this study was
to evaluate the accuracy and reproducibility of a morphological contour interpolation
(MCI) based segmentation method for the volumetric measurement of bone grafts
around implants. Three 3D-printed models (one with a cylinder and two
with a geometrically-complex form) were fabricated to simulate
implant placement with a simultaneous guided bone regeneration (GBR) procedure.
All models were scanned using a cone beam computed tomography (CBCT)
instrument with the same parameters. The true volumes of the
bone grafts in the models were assessed using computer-aided calculation
(controls). For the test measurements, both manual and MCI-based methods were
used. A comparison between the measured and true volumes was
performed to evaluate the accuracy. The coefficients of variation of repeated
measurements were calculated to evaluate the reproducibility. In
addition, the execution time was recorded and a comparison between the two
methods was performed. The high accuracy of the MCI-based method was found with
differences between the measured value and actual volume, which never
exceeded 7.3%. Excellent reproducibility was shown, with coefficients
of variation never exceeding 1.1%. A shorter execution time was observed for
the MCI-based method than for the manual method. Within the confines of this
study, the MCI-based method may be suitable for volumetric
measurements of grafted bone around implants.
中图分类号:
SHI Junyu (史俊宇), LI Yuan (李元), ZHANG Xiao (张枭), ZHANG Xiaomeng (张晓梦), LAI Hongchang (赖红昌). Accuracy Assessment of a Novel Radiographic Method to Evaluate Guided Bone Regeneration Outcomes Using a 3D-Printed Model[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 284-289.
SHI Junyu (史俊宇), LI Yuan (李元), ZHANG Xiao (张枭), ZHANG Xiaomeng (张晓梦), LAI Hongchang (赖红昌). Accuracy Assessment of a Novel Radiographic Method to Evaluate Guided Bone Regeneration Outcomes Using a 3D-Printed Model[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 284-289.
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