Multiparametric analysis of lumbar vertebrae texture on magnetic resonance imaging and correlation with fragility fractures.

• Grant number: 18/04266-9
• Support type: Regular Research Grants
• Duration: October 01, 2018 - September 30, 2021
• Field of knowledge: Health Sciences - Medicine - Medical Radiology
• Principal Investigator: Marcello Henrique Nogueira-Barbosa
• Grantee: Marcello Henrique Nogueira-Barbosa
• Home Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Assoc. researchers: Carlos Ernesto Garrido Salmon ; Francisco José Albuquerque de Paula ; Iana Mizumukai de Araujo ; JAMILLY GOMES MACIEL ; Paulo Mazzoncini de Azevedo Marques

Abstract

Bone mineral density (BMD) quantified by dual-energy X-ray absorptiometry (DXA) associated with clinical parameters is considered the standard reference by the International Society of Densitometry for prediction of fracture risk. However, studies published in the literature have demonstrated that BMD alone often fails to predict fractures, suggesting that the association of other bone quality parameters such as trabecular architecture and changes in bone marrow adiposity (AMO) improve the prediction of fragility fractures.High resolution magnetic resonance imaging (MRI) is an exam that has been used in several studies of osteoporosis, since it allows the analysis of different parameters related to bone quality.In this context, we will evaluate 72 patients divided in 3 groups: normal bone mineral mass (controls), osteopenia/osteoporosis without fragility fractures and osteopenia/osteoporosis with fragility fractures. The volunteers will undergo lumbar spine MRI, including spectroscopy sequences for quantification of AMO, gradient-echo sequences for analysis of trabecular architecture and fast spin echo sequences for quantification of bone texture attributes correlating with the BMD, aiming to identify potential factors related to fragility fractures in these patients. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

JAMILLY GOMES MACIEL; IANA MIZUMUKAI DE ARAÚJO; LUCIO C. TRAZZI; PAULO MAZZONCINI DE AZEVEDO-MARQUES; CARLOS ERNESTO GARRIDO SALMON; FRANCISCO JOSÉ ALBUQUERQUE DE PAULA; MARCELLO HENRIQUE NOGUEIRA-BARBOSA. Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging. Clinics, v. 75, p. -, 2020. Web of Science Citations: 0.