Acetabular cartilage thickness

Accuracy of three-dimensional reconstructions from multidetector CT arthrograms in a cadaver study

Bryce C. Allen, Christopher L. Peters, Nicholas A.T. Brown, Andrew E. Anderson

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Purpose: To prospectively quantify the accuracy of hip cartilage thickness estimated from three-dimensional (3D) surfaces, generated by segmenting multidetector computed tomographic (CT) arthrograms by using direct physical measurements of cartilage thickness as the reference standard. Materials and Methods: Four fresh-frozen cadaver hip joints from two male donors, ages 43 and 46 years, were obtained; institutional review board approval for cadaver research was also obtained. Sixteen holes were drilled perpendicular to the cartilage of four cadaveric acetabula (two specimens). Hip capsules were surgically closed, injected with contrast material, and scanned by using multidetector CT. After scanning, 5.3-mm cores were harvested concentrically at each drill hole and cartilage thickness was measured with a microscope. Cartilage was reconstructed in 3D by using commercial software. Segmentations were repeated by two authors. Reconstructed cartilage thickness was determined by using a published algorithm. Bland-Altman plots and linear regression were used to assess accuracy. Repeatability was quantified by using the coefficient of variation, intraclass correlation coefficient (ICC), repeatability coefficient, and percentage variability. Results: Cartilage was reconstructed to a bias of -0.13 mm and a repeatability coefficient of ±0.46 mm. Regression of the scatterplots indicated a tendency for multidetector CT to overestimate thickness. Intra- and interobserver repeatability were very good. For intraobserver correlation, the coefficient of variation was 14.80%, the ICC was 0.88, the repeatability coefficient was 0.55 mm, and the percentage variability was 11.77%. For interobserver correlation, the coefficient of variation was 13.47%, the ICC was 0.90, the repeatability coefficient was 0.52 mm, and the percentage variability was 11.63%. Conclusion: Assuming that an accuracy of approximately ±0.5 mm is sufficient, reconstructions of cartilage geometry from multidetector CT arthrographic data could be used as a preoperative surgical planning tool.

Original languageEnglish
Pages (from-to)544-552
Number of pages9
JournalRadiology
Volume255
Issue number2
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

Cadaver
Cartilage
Hip
Acetabulum
Research Ethics Committees
Hip Joint
Contrast Media
Capsules
Linear Models
Software
Research

Cite this

Allen, Bryce C. ; Peters, Christopher L. ; Brown, Nicholas A.T. ; Anderson, Andrew E. / Acetabular cartilage thickness : Accuracy of three-dimensional reconstructions from multidetector CT arthrograms in a cadaver study. In: Radiology. 2010 ; Vol. 255, No. 2. pp. 544-552.
@article{4f8599f078f4474e8b1d246df2983cb6,
title = "Acetabular cartilage thickness: Accuracy of three-dimensional reconstructions from multidetector CT arthrograms in a cadaver study",
abstract = "Purpose: To prospectively quantify the accuracy of hip cartilage thickness estimated from three-dimensional (3D) surfaces, generated by segmenting multidetector computed tomographic (CT) arthrograms by using direct physical measurements of cartilage thickness as the reference standard. Materials and Methods: Four fresh-frozen cadaver hip joints from two male donors, ages 43 and 46 years, were obtained; institutional review board approval for cadaver research was also obtained. Sixteen holes were drilled perpendicular to the cartilage of four cadaveric acetabula (two specimens). Hip capsules were surgically closed, injected with contrast material, and scanned by using multidetector CT. After scanning, 5.3-mm cores were harvested concentrically at each drill hole and cartilage thickness was measured with a microscope. Cartilage was reconstructed in 3D by using commercial software. Segmentations were repeated by two authors. Reconstructed cartilage thickness was determined by using a published algorithm. Bland-Altman plots and linear regression were used to assess accuracy. Repeatability was quantified by using the coefficient of variation, intraclass correlation coefficient (ICC), repeatability coefficient, and percentage variability. Results: Cartilage was reconstructed to a bias of -0.13 mm and a repeatability coefficient of ±0.46 mm. Regression of the scatterplots indicated a tendency for multidetector CT to overestimate thickness. Intra- and interobserver repeatability were very good. For intraobserver correlation, the coefficient of variation was 14.80{\%}, the ICC was 0.88, the repeatability coefficient was 0.55 mm, and the percentage variability was 11.77{\%}. For interobserver correlation, the coefficient of variation was 13.47{\%}, the ICC was 0.90, the repeatability coefficient was 0.52 mm, and the percentage variability was 11.63{\%}. Conclusion: Assuming that an accuracy of approximately ±0.5 mm is sufficient, reconstructions of cartilage geometry from multidetector CT arthrographic data could be used as a preoperative surgical planning tool.",
author = "Allen, {Bryce C.} and Peters, {Christopher L.} and Brown, {Nicholas A.T.} and Anderson, {Andrew E.}",
year = "2010",
doi = "10.1148/radiol.10081876",
language = "English",
volume = "255",
pages = "544--552",
journal = "Radiology",
issn = "0033-8419",
publisher = "Radiological Society of North America Inc.",
number = "2",

}

Acetabular cartilage thickness : Accuracy of three-dimensional reconstructions from multidetector CT arthrograms in a cadaver study. / Allen, Bryce C.; Peters, Christopher L.; Brown, Nicholas A.T.; Anderson, Andrew E.

In: Radiology, Vol. 255, No. 2, 2010, p. 544-552.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Acetabular cartilage thickness

T2 - Accuracy of three-dimensional reconstructions from multidetector CT arthrograms in a cadaver study

AU - Allen, Bryce C.

AU - Peters, Christopher L.

AU - Brown, Nicholas A.T.

AU - Anderson, Andrew E.

PY - 2010

Y1 - 2010

N2 - Purpose: To prospectively quantify the accuracy of hip cartilage thickness estimated from three-dimensional (3D) surfaces, generated by segmenting multidetector computed tomographic (CT) arthrograms by using direct physical measurements of cartilage thickness as the reference standard. Materials and Methods: Four fresh-frozen cadaver hip joints from two male donors, ages 43 and 46 years, were obtained; institutional review board approval for cadaver research was also obtained. Sixteen holes were drilled perpendicular to the cartilage of four cadaveric acetabula (two specimens). Hip capsules were surgically closed, injected with contrast material, and scanned by using multidetector CT. After scanning, 5.3-mm cores were harvested concentrically at each drill hole and cartilage thickness was measured with a microscope. Cartilage was reconstructed in 3D by using commercial software. Segmentations were repeated by two authors. Reconstructed cartilage thickness was determined by using a published algorithm. Bland-Altman plots and linear regression were used to assess accuracy. Repeatability was quantified by using the coefficient of variation, intraclass correlation coefficient (ICC), repeatability coefficient, and percentage variability. Results: Cartilage was reconstructed to a bias of -0.13 mm and a repeatability coefficient of ±0.46 mm. Regression of the scatterplots indicated a tendency for multidetector CT to overestimate thickness. Intra- and interobserver repeatability were very good. For intraobserver correlation, the coefficient of variation was 14.80%, the ICC was 0.88, the repeatability coefficient was 0.55 mm, and the percentage variability was 11.77%. For interobserver correlation, the coefficient of variation was 13.47%, the ICC was 0.90, the repeatability coefficient was 0.52 mm, and the percentage variability was 11.63%. Conclusion: Assuming that an accuracy of approximately ±0.5 mm is sufficient, reconstructions of cartilage geometry from multidetector CT arthrographic data could be used as a preoperative surgical planning tool.

AB - Purpose: To prospectively quantify the accuracy of hip cartilage thickness estimated from three-dimensional (3D) surfaces, generated by segmenting multidetector computed tomographic (CT) arthrograms by using direct physical measurements of cartilage thickness as the reference standard. Materials and Methods: Four fresh-frozen cadaver hip joints from two male donors, ages 43 and 46 years, were obtained; institutional review board approval for cadaver research was also obtained. Sixteen holes were drilled perpendicular to the cartilage of four cadaveric acetabula (two specimens). Hip capsules were surgically closed, injected with contrast material, and scanned by using multidetector CT. After scanning, 5.3-mm cores were harvested concentrically at each drill hole and cartilage thickness was measured with a microscope. Cartilage was reconstructed in 3D by using commercial software. Segmentations were repeated by two authors. Reconstructed cartilage thickness was determined by using a published algorithm. Bland-Altman plots and linear regression were used to assess accuracy. Repeatability was quantified by using the coefficient of variation, intraclass correlation coefficient (ICC), repeatability coefficient, and percentage variability. Results: Cartilage was reconstructed to a bias of -0.13 mm and a repeatability coefficient of ±0.46 mm. Regression of the scatterplots indicated a tendency for multidetector CT to overestimate thickness. Intra- and interobserver repeatability were very good. For intraobserver correlation, the coefficient of variation was 14.80%, the ICC was 0.88, the repeatability coefficient was 0.55 mm, and the percentage variability was 11.77%. For interobserver correlation, the coefficient of variation was 13.47%, the ICC was 0.90, the repeatability coefficient was 0.52 mm, and the percentage variability was 11.63%. Conclusion: Assuming that an accuracy of approximately ±0.5 mm is sufficient, reconstructions of cartilage geometry from multidetector CT arthrographic data could be used as a preoperative surgical planning tool.

UR - http://www.scopus.com/inward/record.url?scp=77951431136&partnerID=8YFLogxK

U2 - 10.1148/radiol.10081876

DO - 10.1148/radiol.10081876

M3 - Article

VL - 255

SP - 544

EP - 552

JO - Radiology

JF - Radiology

SN - 0033-8419

IS - 2

ER -