Literature DB >> 24077875

Standardizing evaluation of pQCT image quality in the presence of subject movement: qualitative versus quantitative assessment.

Robert M Blew, Vinson R Lee, Joshua N Farr, Daniel J Schiferl, Scott B Going.   

Abstract

Peripheral quantitative computed tomography (pQCT) is an essential tool for assessing bone parameters of the limbs, but subject movement and its impact on image quality remains a challenge to manage. The current approach to determine image viability is by visual inspection, but pQCT lacks a quantitative evaluation. Therefore, the aims of this study were to (1) examine the reliability of a qualitative visual inspection scale and (2) establish a quantitative motion assessment methodology. Scans were performed on 506 healthy girls (9-13 years) at diaphyseal regions of the femur and tibia. Scans were rated for movement independently by three technicians using a linear, nominal scale. Quantitatively, a ratio of movement to limb size (%Move) provided a measure of movement artifact. A repeat-scan subsample (n = 46) was examined to determine %Move's impact on bone parameters. Agreement between measurers was strong (intraclass correlation coefficient = 0.732 for tibia, 0.812 for femur), but greater variability was observed in scans rated 3 or 4, the delineation between repeat and no repeat. The quantitative approach found ≥95% of subjects had %Move <25 %. Comparison of initial and repeat scans by groups above and below 25% initial movement showed significant differences in the >25 % grouping. A pQCT visual inspection scale can be a reliable metric of image quality, but technicians may periodically mischaracterize subject motion. The presented quantitative methodology yields more consistent movement assessment and could unify procedure across laboratories. Data suggest a delineation of 25% movement for determining whether a diaphyseal scan is viable or requires repeat.

Entities:  

Mesh:

Year:  2014        PMID: 24077875      PMCID: PMC3949118          DOI: 10.1007/s00223-013-9803-x

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  31 in total

1.  Bare-bones fact--children are not small adults.

Authors:  Laura K Bachrach
Journal:  N Engl J Med       Date:  2004-08-26       Impact factor: 91.245

2.  Adjusting for the partial volume effect in cortical bone analyses of pQCT images.

Authors:  J Rittweger; I Michaelis; M Giehl; P Wüsecke; D Felsenberg
Journal:  J Musculoskelet Neuronal Interact       Date:  2004-12       Impact factor: 2.041

3.  Peripheral quantitative computed tomography in children and adolescents: the 2007 ISCD Pediatric Official Positions.

Authors:  Babette Zemel; Shona Bass; Teresa Binkley; Gaele Ducher; Heather Macdonald; Heather McKay; Laurie Moyer-Mileur; John Shepherd; Bonny Specker; Kate Ward; Didier Hans
Journal:  J Clin Densitom       Date:  2008 Jan-Mar       Impact factor: 2.617

Review 4.  Problems of bone analysis in childhood and adolescence.

Authors:  E Schönau
Journal:  Pediatr Nephrol       Date:  1998-06       Impact factor: 3.714

5.  Accuracy of cortical and trabecular bone measurements with peripheral quantitative computed tomography (pQCT).

Authors:  P Augat; C L Gordon; T F Lang; H Iida; H K Genant
Journal:  Phys Med Biol       Date:  1998-10       Impact factor: 3.609

6.  ALARA and an integrated approach to radiation protection.

Authors:  W R Hendee; F M Edwards
Journal:  Semin Nucl Med       Date:  1986-04       Impact factor: 4.446

7.  Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content.

Authors:  B H Goodpaster; D E Kelley; F L Thaete; J He; R Ross
Journal:  J Appl Physiol (1985)       Date:  2000-07

8.  Bone mineral content per muscle cross-sectional area as an index of the functional muscle-bone unit.

Authors:  Eckhard Schoenau; Christina Maria Neu; Bodo Beck; Friedrich Manz; Frank Rauch
Journal:  J Bone Miner Res       Date:  2002-06       Impact factor: 6.741

9.  Skeletal muscle density: effects of obesity and non-insulin-dependent diabetes mellitus.

Authors:  D E Kelley; B S Slasky; J Janosky
Journal:  Am J Clin Nutr       Date:  1991-09       Impact factor: 7.045

10.  Gender-specific pubertal changes in volumetric cortical bone mineral density at the proximal radius.

Authors:  E Schoenau; C M Neu; F Rauch; F Manz
Journal:  Bone       Date:  2002-07       Impact factor: 4.398

View more
  27 in total

1.  Validation of Peripheral Quantitative Computed Tomography-Derived Thigh Adipose Tissue Subcompartments in Young Girls Using a 3 T MRI Scanner.

Authors:  Robert M Blew; Vinson R Lee; Jennifer W Bea; Megan C Hetherington-Rauth; Jean-Phillipe Galons; Maria I Altbach; Timothy G Lohman; Scott B Going
Journal:  J Clin Densitom       Date:  2018-03-23       Impact factor: 2.617

2.  Effect of prenatal calcium supplementation on bone during pregnancy and 1 y postpartum.

Authors:  Andrea Cullers; Janet C King; Marta Van Loan; Ginny Gildengorin; Ellen B Fung
Journal:  Am J Clin Nutr       Date:  2019-01-01       Impact factor: 7.045

3.  Muscle activity, cross-sectional area, and density following passive standing and whole body vibration: A case series.

Authors:  Kei Masani; Milad Alizadeh-Meghrazi; Dimitry G Sayenko; Jose Zariffa; Cameron Moore; Lora Giangregorio; Milos R Popovic; B Catharine Craven
Journal:  J Spinal Cord Med       Date:  2014-07-24       Impact factor: 1.985

Review 4.  Measuring muscle and bone in individuals with neurologic impairment; lessons learned about participant selection and pQCT scan acquisition and analysis.

Authors:  L M Giangregorio; J C Gibbs; B C Craven
Journal:  Osteoporos Int       Date:  2016-03-30       Impact factor: 4.507

Review 5.  A Comparison of Peripheral Imaging Technologies for Bone and Muscle Quantification: a Mixed Methods Clinical Review.

Authors:  Andy Kin On Wong
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

6.  Effect of Higher vs Standard Dosage of Vitamin D3 Supplementation on Bone Strength and Infection in Healthy Infants: A Randomized Clinical Trial.

Authors:  Jenni Rosendahl; Saara Valkama; Elisa Holmlund-Suila; Maria Enlund-Cerullo; Helena Hauta-Alus; Otto Helve; Timo Hytinantti; Esko Levälahti; Eero Kajantie; Heli Viljakainen; Outi Mäkitie; Sture Andersson
Journal:  JAMA Pediatr       Date:  2018-07-01       Impact factor: 16.193

7.  Lower leg muscle density is independently associated with fall status in community-dwelling older adults.

Authors:  A W Frank-Wilson; J P Farthing; P D Chilibeck; C M Arnold; K S Davison; W P Olszynski; S A Kontulainen
Journal:  Osteoporos Int       Date:  2016-02-15       Impact factor: 4.507

8.  Muscle density predicts changes in bone density and strength: a prospective study in girls.

Authors:  D R Laddu; J N Farr; V R Lee; R M Blew; C Stump; L Houtkooper; T G Lohman; S B Going
Journal:  J Musculoskelet Neuronal Interact       Date:  2014-06       Impact factor: 2.041

9.  Muscle Performance Changes with Age in Active Women.

Authors:  Ryan M Miller; Eduardo D S Freitas; Aaron D Heishman; Keldon M Peak; Samuel R Buchanan; J Mikhail Kellawan; Hugo M Pereira; Debra A Bemben; Michael G Bemben
Journal:  Int J Environ Res Public Health       Date:  2021-04-23       Impact factor: 3.390

10.  Skeletal Muscle Density and Cognitive Function: A Cross-Sectional Study in Men.

Authors:  Sophia X Sui; Lana J Williams; Kara L Holloway-Kew; Natalie K Hyde; Kara B Anderson; Monica C Tembo; Alex B Addinsall; Sarah Leach; Julie A Pasco
Journal:  Calcif Tissue Int       Date:  2020-09-27       Impact factor: 4.333

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.