Describing the application of statistical shape modelling to DXA images to quantify the shape of the proximal femur at ages 14 and 18 years in the Avon Longitudinal Study of Parents and Children

Monika Frysz, Jenny Gregory, Richard Aspden, Lavinia Paternoster, Jonathan Tobias

Research output: Contribution to journalArticle (Academic Journal)

3 Citations (Scopus)
131 Downloads (Pure)

Abstract

Bones are complex objects with considerable variation in the shape and structure often attributed to anatomical, environmental or genetic differences. In addition, bone shape has been of interest in relation to its associations with disease processes. Hip shape is an important determinant of hip osteoarthritis and osteoporotic hip fracture; however, its quantification is difficult. While previous studies largely focused on individual geometrical indices of hip geometry such as neck-shaft angle or femoral neck width, statistical shape modelling offers the means to quantify the entire contour of the proximal femur, including lesser trochanter and acetabular eyebrow. We describe the derivation of independent modes of variation (hip shape mode scores) to characterise variation in hip shape from dual-energy X-ray absorptiometry (DXA) images in the Avon Longitudinal Study of Parents and Children (ALSPAC) offspring, using statistical shape modelling. ALSPAC is a rich source of phenotypic and genotypic data which provides a unique opportunity to investigate the environmental and genetic influences on hip shape in adolescence, as well as comparison with adult hip shape.
Original languageEnglish
JournalWellcome Open Research
Volume4
DOIs
Publication statusPublished - 6 Feb 2019

Keywords

  • ALSPAC
  • hip shape
  • joint shape
  • statistical shape modelling

Fingerprint Dive into the research topics of 'Describing the application of statistical shape modelling to DXA images to quantify the shape of the proximal femur at ages 14 and 18 years in the Avon Longitudinal Study of Parents and Children'. Together they form a unique fingerprint.

  • Projects

    MRC UoB UNITE Unit - Programme 5

    Lawlor, D. A. & Lawlor, D. A.

    1/06/1331/03/18

    Project: Research

    MRC UoB UNITE Unit - programme 4

    Davey Smith, G. & Evans, D.

    1/06/131/04/18

    Project: Research

    Cite this