Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer

  • Kevin P. Murphy
  • , Lee Crush
  • , Siobhan B. O'Neill
  • , James Foody
  • , Micheál Breen
  • , Adrian Brady
  • , Paul J. Kelly
  • , Derek G. Power
  • , Paul Sweeney
  • , Jackie Bye
  • , Owen J. O'Connor
  • , Michael M. Maher
  • , Kevin N. O'Regan

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: We examine the performance of pure model-based iterative reconstruction with reduced-dose CT in follow-up of patients with early-stage testicular cancer. Methods: Sixteen patients (mean age 35.6 ± 7.4 years) with stage I or II testicular cancer underwent conventional dose (CD) and low-dose (LD) CT acquisition during CT surveillance. LD data was reconstructed with model-based iterative reconstruction (LD-MBIR). Datasets were objectively and subjectively analysed at 8 anatomical levels. Two blinded clinical reads were compared to gold-standard assessment for diagnostic accuracy. Results: Mean radiation dose reduction of 67.1% was recorded. Mean dose measurements for LD-MBIR were: thorax - 66 ± 11 mGy cm (DLP), 1.0 ± 0.2 mSv (ED), 2.0 ± 0.4 mGy (SSDE); abdominopelvic - 128 ± 38 mGy cm (DLP), 1.9 ± 0.6 mSv (ED), 3.0 ± 0.6 mGy (SSDE). Objective noise and signal-to-noise ratio values were comparable between the CD and LD-MBIR images. LD-MBIR images were superior (< 0.001) with regard to subjective noise, streak artefact, 2-plane contrast resolution, 2-plane spatial resolution and diagnostic acceptability. All patients were correctly categorised as positive, indeterminate or negative for metastatic disease by 2 readers on LD-MBIR and CD datasets. Conclusions: MBIR facilitated a 67% reduction in radiation dose whilst producing images that were comparable or superior to conventional dose studies without loss of diagnostic utility.

Original languageEnglish
Pages (from-to)38-45
Number of pages8
JournalEuropean Journal of Radiology Open
Volume3
DOIs
Publication statusPublished - 2016

Keywords

  • Iterative reconstruction
  • Low-dose computed tomography
  • Model-based iterative reconstruction
  • Radiation dose
  • Testicular cancer

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