Literature DB >> 19118659

Tibial geometry in individuals with neurofibromatosis type 1 without anterolateral bowing of the lower leg using peripheral quantitative computed tomography.

David A Stevenson1, David H Viskochil, John C Carey, Hillarie Slater, Mary Murray, Xiaoming Sheng, Jacques D'Astous, Heather Hanson, Elizabeth Schorry, Laurie J Moyer-Mileur.   

Abstract

INTRODUCTION: Lower leg bowing with tibial pseudarthrosis is associated with neurofibromatosis type 1 (NF1). The objective of the study is to determine if the geometry of the lower limb in individuals with neurofibromatosis type 1 (NF1) differs from controls, and to characterize the osseous components of the tibia in NF1.
METHODS: Peripheral quantitative computed tomography (pQCT) of the lower limb was performed (90 individuals with NF1 without tibial and/or fibular dysplasia: 474 healthy individuals without NF1). Subjects were 4-18 years of age. Individuals with NF1 were compared to controls using an analysis-of-covariance with a fixed set of covariates (age, weight, height, Tanner stage, and gender).
RESULTS: Using pQCT, NF1 individuals without bowing of the lower leg have smaller periosteal circumferences (p<0.0001), smaller cortical area (p<0.0001), and decreased tibial cortical and trabecular bone mineral content (BMC) (p<0.0001) compared to controls. DISCUSSION: Individuals with NF1 have a different geometry of the lower leg compared to healthy controls suggesting that NF1 haploinsufficiency impacts bone homeostasis although not resulting in overt anterolateral bowing of the lower leg.

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Year:  2008        PMID: 19118659      PMCID: PMC2656585          DOI: 10.1016/j.bone.2008.12.002

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  30 in total

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Authors:  Bonny L Specker; Eckhard Schoenau
Journal:  J Pediatr       Date:  2005-06       Impact factor: 4.406

Review 2.  The diagnostic evaluation and multidisciplinary management of neurofibromatosis 1 and neurofibromatosis 2.

Authors:  D H Gutmann; A Aylsworth; J C Carey; B Korf; J Marks; R E Pyeritz; A Rubenstein; D Viskochil
Journal:  JAMA       Date:  1997-07-02       Impact factor: 56.272

3.  Bone "mass" and the "mechanostat": a proposal.

Authors:  H M Frost
Journal:  Anat Rec       Date:  1987-09

4.  Case-control study of the muscular compartments and osseous strength in neurofibromatosis type 1 using peripheral quantitative computed tomography.

Authors:  D A Stevenson; L J Moyer-Mileur; J C Carey; J L Quick; C J Hoff; D H Viskochil
Journal:  J Musculoskelet Neuronal Interact       Date:  2005-06       Impact factor: 2.041

5.  Uncritical use of bone mineral density in absorptiometry may lead to size-related artifacts in the identification of bone mineral determinants.

Authors:  A Prentice; T J Parsons; T J Cole
Journal:  Am J Clin Nutr       Date:  1994-12       Impact factor: 7.045

6.  Descriptive analysis of tibial pseudarthrosis in patients with neurofibromatosis 1.

Authors:  D A Stevenson; P H Birch; J M Friedman; D H Viskochil; P Balestrazzi; S Boni; A Buske; B R Korf; M Niimura; E K Pivnick; E K Schorry; M P Short; R Tenconi; J H Tonsgard; J C Carey
Journal:  Am J Med Genet       Date:  1999-06-11

Review 7.  Neurofibromatosis in children: the role of the orthopaedist.

Authors:  A H Crawford; E K Schorry
Journal:  J Am Acad Orthop Surg       Date:  1999 Jul-Aug       Impact factor: 3.020

8.  The "functional muscle-bone unit": a two-step diagnostic algorithm in pediatric bone disease.

Authors:  Eckhard Schoenau
Journal:  Pediatr Nephrol       Date:  2005-02-02       Impact factor: 3.714

9.  Type 1 neurofibromatosis: a descriptive analysis of the disorder in 1,728 patients.

Authors:  J M Friedman; P H Birch
Journal:  Am J Med Genet       Date:  1997-05-16

10.  pQCT bone strength index may serve as a better predictor than bone mineral density for long bone breaking strength.

Authors:  Wing Sum Siu; Ling Qin; Kwok Sui Leung
Journal:  J Bone Miner Metab       Date:  2003       Impact factor: 2.626

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  4 in total

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Authors:  Paul T Reidy; Nikol M Yonemura; Jared H Madsen; Alec I McKenzie; Ziad S Mahmassani; Matthew T Rondina; Yu Kuei Lin; Katie Kaput; Micah J Drummond
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Review 3.  A systematic review and meta-analysis of pediatric normative peripheral quantitative computed tomography data.

Authors:  Maria Medeleanu; Reza Vali; Shadab Sadeghpour; Rahim Moineddin; Andrea S Doria
Journal:  Bone Rep       Date:  2021-07-07

Review 4.  Peripheral quantitative computed tomography (pQCT) for the assessment of bone strength in most of bone affecting conditions in developmental age: a review.

Authors:  Stefano Stagi; Loredana Cavalli; Tiziana Cavalli; Maurizio de Martino; Maria Luisa Brandi
Journal:  Ital J Pediatr       Date:  2016-09-26       Impact factor: 2.638

  4 in total

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