AI Article Synopsis

  • Sacroiliitis is the inflammation of the sacroiliac joint, a major contributor to lower back pain, making up 25% of cases.
  • Various imaging methods, such as radiography, MRI, and CT scans, are used for detection, while treatment options can range from conservative approaches like physical therapy to more invasive procedures like joint injections and surgery.
  • Emerging advancements in artificial intelligence and regenerative medicine signal a promising future for managing sacroiliitis, particularly for associated conditions such as ankylosing spondylitis, based on a review of relevant English studies focusing on its radiological aspects.

Article Abstract

Sacroiliitis is the inflammation of the sacroiliac joint, the largest axial joint in the human body, contributing to 25% of lower back pain cases. It can be detected using various imaging techniques like radiography, MRI, and CT scans. Treatments range from conservative methods to invasive procedures. Recent advancements in artificial intelligence offer precise detection of this condition through imaging. Treatment options range from physical therapy and medications to invasive methods like joint injections and surgery. Future management looks promising with advanced imaging, regenerative medicine, and biologic therapies, especially for conditions like ankylosing spondylitis. We conducted a review on sacroiliitis using imaging data from sources like PubMed and Scopus. Only English studies focusing on sacroiliitis's radiological aspects were included. The findings were organized and presented narratively.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10801489PMC
http://dx.doi.org/10.3390/clinpract14010009DOI Listing

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