Literature DB >> 20498556

Accuracy of peripheral quantitative computed tomography and magnetic resonance imaging in assessing cortical bone cross-sectional area: a cadaver study.

Olivia Louis1, Erik Cattrysse, Aldo Scafoglieri, Robert Luypaert, Jan Pieter Clarys, Johan de Mey.   

Abstract

OBJECTIVE: The present study aimed to assess the accuracy of peripheral quantitative computed tomography (pQCT) and magnetic resonance imaging (MRI) in assessing the cortical cross-sectional area (CCSA) at the level of the tibia.
METHODS: Nine human whole-leg specimens were scanned with pQCT and MRI (T1-weighted and ultrashort echo-time [UTE] images) at 2 diaphyseal levels, 1 distal and the other 1 proximal. Subsequently, the bones were cut, and the CCSA was measured using digitized planimetry on the transverse sections. The correlation between CCSAs assessed via pQCT and MRI (T1 and UTE images) and assessed via planimetry, taken as a criterion standard, was evaluated using the Spearman rank correlation method.
RESULTS: The mean (SD) CCSA with pQCT was 237.3 (54.3) mm2; T1-MRI, 228.8 (63.2) mm2; UTE-MRI, 178.5 (54.8) mm2; and planimetry, 250.17 (59.3) mm2. The CCSA measured with pQCT and T1-MRI was highly correlated with the planimetric CCSA (rho = 0.868 and rho = 0.880, respectively, P < 0.001). The correlation involving UTE-MRI was somewhat weaker (rho = 0.664, P = 0.003).
CONCLUSIONS: Peripheral quantitative computed tomography and MRI (T1-weighted images) are accurate for the assessment of the CCSA at the tibial shaft.

Entities:  

Mesh:

Year:  2010        PMID: 20498556     DOI: 10.1097/RCT.0b013e3181d27104

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

1.  MRI of the temporo-mandibular joint: which sequence is best suited to assess the cortical bone of the mandibular condyle? A cadaveric study using micro-CT as the standard of reference.

Authors:  Christoph A Karlo; Raphael Patcas; Thomas Kau; Helmut Watzal; Luca Signorelli; Lukas Müller; Oliver Ullrich; Hans-Ulrich Luder; Christian J Kellenberger
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

2.  Using Magnetic Resonance for Predicting Femoral Strength: Added Value with respect to Bone Densitometry.

Authors:  Olivia Louis; Yves Fierens; Maria Strantza; Robert Luypaert; Johan de Mey; Erik Cattrysse
Journal:  Biomed Res Int       Date:  2015-08-27       Impact factor: 3.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.