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Structured reporting in knee MRI.

Marco Peter1,2, Tobias Johannes Dietrich3,4, Roman Guggenberger5,3

  • 1Clinic for Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland. marco.peter@ksw.ch.

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Structured reporting in knee MRI enhances clarity and consistency in musculoskeletal radiology. This approach improves communication and supports AI tools, ultimately advancing patient care.

Keywords:
Knee MRIMusculoskeletal radiologyReport templateStructured reporting

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Area of Science:

  • Musculoskeletal Radiology
  • Medical Imaging Analysis

Background:

  • Structured reporting in knee MRI is a significant advancement.
  • It aims to improve clarity and consistency in evaluating complex knee anatomy.

Purpose of the Study:

  • To review the foundations, evolution, and clinical applications of structured reporting in knee MRI.
  • To explore its benefits, challenges, and future potential.

Main Methods:

  • Literature review of studies on structured reporting in knee MRI.
  • Analysis of different frameworks (anatomical vs. tissue-based).

Main Results:

  • Structured reporting enhances clinician communication and aids artificial intelligence (AI) tool development.
  • Challenges include balancing structure with narrative flexibility.

Conclusions:

  • Structured reporting in knee MRI offers a promising outlook with AI integration and standardization.
  • Further exploration is needed to maximize its potential for patient care.