Literature DB >> 29994405

Current and Emerging Diagnostic Imaging-Based Techniques for Assessment of Osteoporosis and Fracture Risk.

Anu Shaju Areeckal, Michel Kocher, Sumam David S.   

Abstract

Osteoporosis is a metabolic bone disorder characterized by low bone mass, degradation of bone microarchitecture, and susceptibility to fracture. It is a growing major health concern across the world, especially in the elderly population. Osteoporosis can cause hip or spinal fractures that may lead to high morbidity and socio-economic burden. Therefore, there is a need for early diagnosis of osteoporosis and prediction of fragility fracture risk. In this review, state of the art and recent advances in imaging techniques for diagnosis of osteoporosis and fracture risk assessment have been explored. Segmentation methods used to segment the regions of interest and texture analysis methods used for classification of healthy and osteoporotic subjects are also presented. Furthermore, challenges posed by the current diagnostic tools have been studied and feasible solutions to circumvent the limitations are discussed. Early diagnosis of osteoporosis and prediction of fracture risk require the development of highly precise and accurate low-cost diagnostic techniques that would help the elderly population in low economies.

Entities:  

Mesh:

Year:  2018        PMID: 29994405     DOI: 10.1109/RBME.2018.2852620

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  3 in total

Review 1.  Use of fractal analysis in dental images for osteoporosis detection: a systematic review and meta-analysis.

Authors:  R Franciotti; M Moharrami; A Quaranta; M E Bizzoca; A Piattelli; G Aprile; V Perrotti
Journal:  Osteoporos Int       Date:  2021-01-28       Impact factor: 4.507

2.  Radiofrequency echographic multi-spectrometry for the in-vivo assessment of bone strength: state of the art-outcomes of an expert consensus meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

Authors:  Nasser Al-Daghri; Jaime C Branco; Olivier Bruyère; Loredana Cavalli; Cyrus Cooper; Bernard Cortet; Bess Dawson-Hughes; Hans Peter Dimai; Stefano Gonnelli; Peyman Hadji; Philippe Halbout; Jean-Marc Kaufman; Andreas Kurth; Medea Locquet; Stefania Maggi; Radmila Matijevic; Jean-Yves Reginster; René Rizzoli; Thomas Thierry; Adolfo Diez-Perez; Maria Luisa Brandi
Journal:  Aging Clin Exp Res       Date:  2019-08-17       Impact factor: 3.636

3.  Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation.

Authors:  A Saranya; Kottilingam Kottursamy; Ahmad Ali AlZubi; Ali Kashif Bashir
Journal:  Soft comput       Date:  2021-12-01       Impact factor: 3.732

  3 in total

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