Imaging-Based Methods for Assessing Bone Health in Endocrine Disorders

  • 322

    Total views and downloads

About this Research Topic

Submission deadlines

  1. Manuscript Summary Submission Deadline 2 February 2026 | Manuscript Submission Deadline 23 May 2026

  2. This Research Topic is currently accepting articles.

Background

The study of bone health and disease has traditionally relied on standard imaging approaches such as dual-energy X-ray absorptiometry (DXA) to evaluate bone mineral density and fracture risk. However, advances in imaging technology now allow for a more detailed and precise characterization of bone microarchitecture, quality, and strength. These developments are transforming how clinicians and researchers assess skeletal health, particularly in the context of endocrine and metabolic disorders, and are improving strategies for the prevention, diagnosis, and treatment of bone-related diseases.

This Research Topic aims to highlight the growing role of imaging-based methods in endocrine bone research and clinical practice. By bringing together studies from a range of imaging modalities, this collection will provide a comprehensive overview of both established and emerging techniques. The focus is on methods that deliver new insights into bone structure and function beyond traditional density measurements, thereby supporting improved clinical outcomes and advancing scientific understanding of hormone-mediated skeletal regulation.

We welcome contributions addressing, but not limited to, the following areas:

• High-resolution peripheral quantitative computed tomography (HR-pQCT) for microarchitecture and fracture risk in metabolic bone disease

• Advances in DXA, including 3D modeling and trabecular bone score (TBS) for osteoporosis and endocrine-related bone loss

• MRI-based methods for bone quality, marrow fat, and metabolic changes in hormonal disorders

• CT and micro-CT in translational bone and endocrine research

• Imaging biomarkers for bone turnover, metabolic activity, and therapeutic monitoring in endocrine disease

• Artificial intelligence and machine learning in predicting fracture and disease outcomes in endocrine-mediated bone disorders

This collection will serve as a platform for clinicians, endocrinologists, radiologists, and researchers to showcase innovative approaches and interdisciplinary perspectives, ultimately fostering the development of imaging strategies that advance both research and clinical practice in endocrine bone health.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Case Report
  • Clinical Trial
  • Editorial
  • FAIR² Data
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Keywords: Osteoporosis, Fracture risk, CT, DXA, MRI, HR-pQCT, Bone mineral density, Imaging, Artificial

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.

Topic editors

Manuscripts can be submitted to this Research Topic via the main journal or any other participating journal.

Impact

  • 322Topic views
View impact