Deep learning and conventional hip MRI for the detection of labral and cartilage abnormalities using arthroscopy as standard of reference
Question Accurate preoperative detection of labral and cartilage lesions in femoroacetabular impingement remains challenging, with current MRI protocols showing variable diagnostic performance. Findings High-resolution deep learning-based and standard-resolution compressed sense MRI demonstrate comparable diagnostic performance, with high accuracy for labral defects but limited sensitivity for cartilage lesions. Clinical relevance Current MRI protocols, regardless of resolution optimization, show persistent limitations in cartilage evaluation, indicating the need for further technical advancement to improve diagnostic confidence in presurgical planning.
Authors
- Sarah C. Foreman (ORCID: https://orcid.org/0000-0001-9140-0162)
- Dimitrios C. Karampinos (ORCID: https://orcid.org/0000-0003-4922-3662)
- Felix Meurer (ORCID: https://orcid.org/0000-0001-8998-578X)
- Jan Neumann (ORCID: https://orcid.org/0000-0003-4388-737X)
- Ingo J. Banke
- Klaus Woertler (ORCID: https://orcid.org/0000-0002-0124-9735)
- Markus Graf (ORCID: https://orcid.org/0000-0002-4668-0326)
- Marcus R. Makowski (ORCID: https://orcid.org/0000-0001-8778-647X)
- Kilian Weiss (ORCID: https://orcid.org/0000-0003-4295-4585)
- Vanessa Twardy (ORCID: https://orcid.org/0000-0003-4586-1878)
- Alexander Wolfgang Marka (ORCID: https://orcid.org/0000-0002-2111-8177)
Institutions
- TUM Klinikum (DE)
- Philips (Germany) (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- European Radiology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1007/s00330-025-11546-9
- Citations
- 3
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 6.02