Advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma: A British Society of Haematology and <scp>UK</scp> Myeloma Society Good Practice Paper-Reference-Cited by-同舟云学术

Advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma: A British Society of Haematology and UK Myeloma Society Good Practice Paper

Published:2024-09-09 Issue: Volume: Page:
ISSN:0007-1048
Container-title:British Journal of Haematology
language:en
Short-container-title:Br J Haematol

Author:

Kaiser Martin¹²^ORCID,Goh Vicky³⁴,Stern Simon⁵^ORCID,Spencer Nicholas⁶,Rabin Neil⁷^ORCID,Ramasamy Karthik⁸,Lawless Sarah⁹,Soutar Richard¹⁰,Ashcroft John¹¹,Pratt Guy¹²^ORCID,Messiou Christina¹³^ORCID,Bygrave Ceri¹⁴^ORCID,

Affiliation:

1. Department of Haematology The Royal Marsden Hospital London UK

2. Division of Genetics and Epidemiology The Institute of Cancer Research London UK

3. School of Biomedical Engineering & Imaging Sciences King's College London London UK

4. Department of Radiology Guy's & St Thomas' Hospitals London UK

5. Epsom and St Helier University Hospitals NHS Trust Epsom UK

6. Department of Radiology Mid Yorkshire Teaching NHS Trust Wakefield UK

7. University College Hospitals London UK

8. Department of Haematology Oxford University Hospitals NHS Trust Oxford UK

9. Belfast City Hospital Belfast UK

10. Department of Haematology Gartnavel General Hospital/Beatson Oncology Centre Glasgow UK

11. Department of Haematology Mid‐Yorkshire Teaching Hospitals Trust Wakefield UK

12. University Hospitals Birmingham NHS Foundation Trust Birmingham UK

13. Department of Radiology The Royal Marsden Hospital and Division of Radiotherapy and Imaging, The Institute of Cancer Research London UK

14. Department of Haematology University Hospital of Wales Cardiff UK

Abstract

SummaryThis Good Practice Paper provides recommendations for the use of advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma. It describes how advanced imaging contributes to optimal healthcare resource utilisation by in newly diagnosed and relapsed myeloma, and provides a perspective on future directions of myeloma imaging, including machine learning assisted reporting.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjh.19716

Reference27 articles.

1. Multiple myeloma

2. Bone Disease in Multiple Myeloma: Biologic and Clinical Implications

3. Pathogenesis of bone disease in multiple myeloma: from bench to bedside

4. European Myeloma Network Guidelines for the Management of Multiple Myeloma-related Complications

5. Fractures and survival in multiple myeloma: results from a population-based study