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Recent Trends in Non-Invasive Methods of Diagnosis and Evaluation of Inflammatory Bowel Disease: A Short Review

International Journal of Molecular Sciences, ISSN: 1422-0067, Vol: 25, Issue: 4
2024
  • 1
    Citations
  • 0
    Usage
  • 15
    Captures
  • 3
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    15
  • Mentions
    3
    • News Mentions
      2
      • News
        2
    • Blog Mentions
      1
      • Blog
        1

Most Recent News

New Findings from University of Medicine and Pharmacy in the Area of Inflammatory Bowel Disease Published (Recent Trends in Non-Invasive Methods of Diagnosis and Evaluation of Inflammatory Bowel Disease: A Short Review)

2024 FEB 22 (NewsRx) -- By a News Reporter-Staff News Editor at Gastroenterology Daily News -- A new study on inflammatory bowel disease is now

Review Description

Inflammatory bowel diseases are a conglomerate of disorders causing inflammation of the gastrointestinal tract, which have gained a significant increase in prevalence in the 21st century. As they present a challenge in the terms of diagnosis as well as treatment, IBDs can present an overwhelming impact on the individual and can take a toll on healthcare costs. Thus, a quick and precise diagnosis is required in order to prevent the high number of complications that can arise from a late diagnosis as well as a misdiagnosis. Although endoscopy remains the primary method of evaluation for IBD, recent trends have highlighted various non-invasive methods of diagnosis as well as reevaluating previous ones. This review focused on the current non-invasive methods in the diagnosis of IBD, exploring their possible implementation in the near future, with the goal of achieving earlier, feasible, and cheap methods of diagnosis as well as prognosis in IBD.

Bibliographic Details

Vălean, Dan; Zaharie, Roxana; Țaulean, Roman; Usatiuc, Lia; Zaharie, Florin

MDPI AG

Chemical Engineering; Biochemistry, Genetics and Molecular Biology; Chemistry; Computer Science

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