Back to the list
Congress: ECR25
Poster Number: C-27547
Type: Poster: EPOS Radiologist (scientific)
Authorblock: O. A. Binkert, C. W. Pfirrmann, K. Higashigaito, S. Fierstra, A. B. Rosskopf; Zurich/CH
Disclosures:
Oliver Andrew Binkert: Nothing to disclose
Christian W.A. Pfirrmann: Nothing to disclose
Kai Higashigaito: Nothing to disclose
Sonja Fierstra: Nothing to disclose
Andrea B. Rosskopf: Nothing to disclose
Keywords: Musculoskeletal soft tissue, MR, Diagnostic procedure, Acute, Oedema
Methods and materials

Ethical committee approval was obtained for this retrospective study. Institutional PACS and RIS reports were searched between December 2020 and June 2024. The inclusion criteria for patient selection were as follows:

  • Age: 18–99 years
  • Signed written informed consent
  • MR imaging including at least two fluid-sensitive sequences in two different planes and one T1-weighted turbo spin-echo (TSE) sequence
  • The term "acute muscle injury" stated in the report summary

Exclusion criteria included incomplete examinations and non-diagnostic imaging quality. All patients were scanned in the supine position using one of the following institutional scanners: 1.5 Tesla (Sola, Avanto, Aera; Siemens Healthcare, Erlangen, Germany) or 3.0 Tesla (Vida, Skyra; Siemens Healthcare, Erlangen, Germany).

Readout

All images were classified using all three classification systems (for details, see Figures 1-5) by four fellowship-trained musculoskeletal radiologists (SF with 12 years, KH with 12 years, ABR with 19 years, and CWAP with 27 years of experience in MSK imaging). Each radiologist was blinded to the initial MRI report and to the readout results of the other readers.

Fig 1: British athletics muscle injury classification (BAMIC), adapted from Ref. 12
Fig 2: British athletics muscle injury classification (BAMIC), drawing of intramuscular location (according to Ref. 12)
Fig 3: British athletics muscle injury classification (BAMIC), extent within muscle (according to Ref. 12)
Fig 4: Munich consensus injury classification system, adapted from Ref. 13
Fig 5: Chan et al. classification system, adapted from Ref. 14

 

Statistics

Study data were collected and managed using REDCap® electronic data capture tools (Version 13.5.4; Vanderbilt University, USA), hosted at the Schulthess Clinic, Zurich, Switzerland.

Inter-reader agreement was quantified using Fleiss’ Kappa with an associated 95% confidence interval. Kappa values were classified as poor (Kappa < 0), slight (0 ≤ Kappa ≤ 0.20), fair (0.21 ≤ Kappa ≤ 0.40), moderate (0.41 ≤ Kappa ≤ 0.60), substantial (0.61 ≤ Kappa ≤ 0.80), and almost perfect (0.81 ≤ Kappa ≤ 1.00).

Patient characteristics are presented as mean and standard deviation or as absolute and relative counts. The analysis was conducted using MATLAB (The MathWorks Inc., Version 2022b, Natick, Massachusetts)

Fig 6: 24-year-old male, soccer player, acute injury of left biceps femoris muscle (BAMIC: 4c, Munich: indirect_4, Chan: III_2_A_e (combined: myofascial and myotendinous). Coronal PDfs sequence shows large edema (arrows; length: 14 cm) in the left biceps femoris muscle. Arrow heads show the torn, elongated central tendon.
Fig 7: 24-year-old male (same as in Fig. 6) , soccer player, acute injury of left biceps femoris muscle (BAMIC: 4c, Munich: indirect_4, Chan: III_2_A_e. Transverse PDfs sequence shows the torn central tendon (arrow) and both myofascial and myotendinous edema.

GALLERY