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Congress: ECR25
Poster Number: C-19794
Type: Poster: EPOS Radiologist (scientific)
Authorblock: A. W. Marka1, B. D. Scherer1, H. Rosenkranz1, M. Graf1, K. Weiss2, M. R. Makowski1, D. C. Karampinos1, J. Gawlitza1, S. Ziegelmayer1; 1München/DE, 2Hamburg/DE
Disclosures:
Alexander Wolfgang Marka: Nothing to disclose
Bernadette Dorothea Scherer: Nothing to disclose
Hannah Rosenkranz: Nothing to disclose
Markus Graf: Nothing to disclose
Kilian Weiss: Nothing to disclose
Marcus R. Makowski: Nothing to disclose
Dimitrios C. Karampinos: Nothing to disclose
Joshua Gawlitza: Nothing to disclose
Sebastian Ziegelmayer: Nothing to disclose
Keywords: Thorax, CT, MR, Screening, Metastases, Neoplasia
Methods and materials

Workflow: Single-Center Prospective Study at Klinikum Rechts der Isar, Munich

  1. The patients were undergoing a routine thin-section chest CT between December 2021 and July 2024. The pictures were acquired on a 320-detector row CT scanner with a mean tube current of 59 mA and a slice thickness of 1 mm. The scans were performed at inspiration.
  2. Patients were assessed for eligibility meeting different inclusion and exclusion criteria.
  3. All MR images were acquired on a 3T MR scanner using a combination of a 16-element phased-array anterior coil and a built-in 12-element phased-array posterior coil.
    • CSAI images were acquired using a respiratory-gated, accelerated 3D gradient echo sequence with isotropic resolution [2]. Image acceleration was based on a cartesian balanced variable density incoherent k-space sampling pattern with high sampling density in the k-space center and continuously decreasing sampling density towards the k-space periphery in combination with a reconstruction algorithm, combining parallel imaging, compressed sensing and deep learning (CS-AI).
    • UTE data were acquired using the previously proposed UTE acquisition based on Fermat looped, orthogonally encoded trajectories (FLORET) [1; 3]. In short: the FLORET sequence is based on the Fermat spiral, which reduces the oversampling of low k-space regions compared to radial UTE acquisitions. Therefore, it provides high sampling efficiencies while retaining SNR of short-T2* species [4]. Acquisition was respiratory gated. The total acquisition time for the FLORET UTE was 3 minutes.
  4. Imaging analysis: CT, CSAI und UTE images were analyzed sequentially by three radiologists (Reader 1: 4 years; Reader 2: 9 years; Reader 3: 10 years of experience), in a randomized order with an interval of 4 weeks between readings to prevent recall bias. Readers were blinded to all clinical and other information.
  5. The statistical analysis was performed using R in R-Studio (version 4.2.1) (see Fig. 1).
    Fig 1: Workflow: Single-Center Prospective Study. (1) Prerequisite: thin-section chest CT between December 2021 and July 2024, (2) Patient acquisition, (3) MRI (including CSAI and UTE sequences) on site, (4) Imaging analysis by three Radiologists on site, (5) Statistically analysis on site. © “Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University of Munich, 2024”.
All participants provided written informed consent.

GALLERY