Osteoporosis is a highly prevalent skeletal disease, with fragility fractures being a major complication. Approximately 200 million people worldwide suffer from osteoporosis, with its prevalence expected to increase in the coming decades due to the aging population, particularly in the Western world. It is estimated that around 40% of women with osteoporosis and around 15 to 30% of men with osteoporosis suffer from fragility fractures during their lifetime, making osteoporosis a significant public health concern. These fractures are associated with reduced quality of life, accelerated morbidity, and premature mortality.
This research topic aims to cover the different diagnostic techniques for imaging and quantification of bone mineral density and bone structure in general. To achieve this, we will collect manuscripts covering topics from imaging to fracture risk assessment in the context of osteopenia/osteoporosis. Within this special collection, original articles and review articles in the area of quantitative imaging, artificial intelligence augmented imaging and bone mineral density are particularly welcome. Topics of interest include, but are not strictly limited to the following areas:
• Imaging of bone structure using dual-energy X-ray absorptiometry (DXA), computed tomography (CT), and magnetic resonance imaging (MRI)
• Application of artificial intelligence for bone mineral density assessment (BMD) and diagnosis in osteoporosis
• Opportunistic approaches (e.g., using non-dedicated imaging in the context of osteoporosis)
Keywords:
Osteoporosis, bone mineral density, vertebral fractures, DXA, CT, MRI, multiparametric imaging
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Osteoporosis is a highly prevalent skeletal disease, with fragility fractures being a major complication. Approximately 200 million people worldwide suffer from osteoporosis, with its prevalence expected to increase in the coming decades due to the aging population, particularly in the Western world. It is estimated that around 40% of women with osteoporosis and around 15 to 30% of men with osteoporosis suffer from fragility fractures during their lifetime, making osteoporosis a significant public health concern. These fractures are associated with reduced quality of life, accelerated morbidity, and premature mortality.
This research topic aims to cover the different diagnostic techniques for imaging and quantification of bone mineral density and bone structure in general. To achieve this, we will collect manuscripts covering topics from imaging to fracture risk assessment in the context of osteopenia/osteoporosis. Within this special collection, original articles and review articles in the area of quantitative imaging, artificial intelligence augmented imaging and bone mineral density are particularly welcome. Topics of interest include, but are not strictly limited to the following areas:
• Imaging of bone structure using dual-energy X-ray absorptiometry (DXA), computed tomography (CT), and magnetic resonance imaging (MRI)
• Application of artificial intelligence for bone mineral density assessment (BMD) and diagnosis in osteoporosis
• Opportunistic approaches (e.g., using non-dedicated imaging in the context of osteoporosis)
Keywords:
Osteoporosis, bone mineral density, vertebral fractures, DXA, CT, MRI, multiparametric imaging
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.