Evolving Radiological Approaches in the Diagnosis and Monitoring of Arachnoiditis Ossificans.

advanced imaging techniques arachnoiditis ossificans artificial intelligence calcification computed tomography disease monitoring magnetic resonance imaging multimodal imaging approach radiological diagnosis spinal imaging

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Sep 2024
Historique:
accepted: 31 08 2024
medline: 2 10 2024
pubmed: 2 10 2024
entrez: 2 10 2024
Statut: epublish

Résumé

Arachnoiditis ossificans (AO) is a rare and complex neurological condition characterized by pathological calcification or ossification of the arachnoid membrane. Arachnoiditis ranks as the third most frequent cause of failed back surgery syndrome (FBSS). This narrative review explores the evolving radiological approaches in its diagnosis and monitoring. The historical perspective traces the progression from plain radiographs to advanced imaging techniques. Current radiological modalities, including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI), are discussed, highlighting their respective roles, advantages, and limitations. Emerging and advanced imaging modalities, such as high-resolution CT, 3T and 7T MRI, and PET/CT or PET/MRI, are examined for their potential to enhance diagnostic accuracy and monitoring capabilities. A comparative analysis of these imaging modalities considers their sensitivity, specificity, cost-effectiveness, and radiation exposure implications. The review also explores the crucial role of imaging in disease monitoring and treatment planning, including follow-up protocols, evaluation of disease progression, and guidance for interventional procedures. Future directions in the field are discussed, focusing on promising research areas, the potential of artificial intelligence and machine learning in image analysis, and identified gaps in current knowledge. The review emphasizes the importance of a multimodal imaging approach and the need for standardized protocols. It concludes that while significant advancements have been made, further research is necessary to fully understand the correlation between imaging findings and clinical outcomes. The continued evolution of radiological approaches is expected to significantly improve patient care and outcomes in AO.

Identifiants

pubmed: 39355477
doi: 10.7759/cureus.68399
pmc: PMC11444744
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e68399

Informations de copyright

Copyright © 2024, Singh et al.

Déclaration de conflit d'intérêts

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Sumerjit Singh (S)

Diagnostic Radiology, Government Medical College Amritsar, Amritsar, IND.

Ripudaman Singh (R)

Internal Medicine, Government Medical College Amritsar, Amritsar, IND.

Shivansh Luthra (S)

Medicine, Government Medical College Amritsar, Amritsar, IND.

Abhinandan Singla (A)

Medicine, Government Medical College Amritsar, Amritsar, IND.

Fnu Tanvir (F)

Internal Medicine, Government Medical College Amritsar, Amritsar, IND.

Harman Antaal (H)

Internal Medicine, Government Medical College Patiala, Patiala, IND.

Agamjit Singh (A)

Psychiatry, Punjab Institute of Medical Sciences, Jalandhar, IND.

Harmanjot Singh (H)

Internal Medicine, The White Medical College and Hospital, Bungal, IND.

Jaskaran Singh (J)

Internal Medicine, Sri Guru Ram Das University of Health Sciences and Research, Amritsar, IND.

Meet Sirjana Kaur (MS)

Internal Medicine, Government Medical College Patiala, Patiala, IND.

Classifications MeSH