European Journal of Radiology Open (Jan 2016)

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

Journal volume & issue
Vol. 3
pp. 38 – 45

Abstract

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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 (p < 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. Keywords: Testicular cancer, Radiation dose, Low-dose computed tomography, Iterative reconstruction, Model-based iterative reconstruction