Influence of CT metal artifact reduction on SPECT/CT quantification of bone scintigraphy – Retrospective study for selected types of metal implants

Abstract Aim Implanted metal prostheses can cause severe artifacts in reconstructed computed tomography (CT) images. To reduce the diagnostic impact of these artifacts and improve attenuation correction in single photon emission computed tomography (SPECT), an algorithm of iterative metal artifact reduction (iMAR) for SPECT/CT systems was developed. The aims of this study were (a) to assess the difference in visual image quality by comparing CT and SPECT images reconstructed with and without iMAR and (b) to determine the influence of iMAR on quantitative 99m Tc-uptake in SPECT/CT. Methods This retrospective study includes 21 patients with implanted metal prostheses who underwent SPECT/CT bone scintigraphy. CT data were reconstructed with iMAR and without (noMAR) and were used for attenuation correction of SPECT data for xSPECT Quant and xSPECT Bone reconstruction. The effect of iMAR on image quality was evaluated by visual analysis and the effect on quantitative SPECT/CT was assessed by measuring HU values and absolute uptake values (kBq/mL) in volumes of interest (VOIs). Results There was a significant reduction of visible metal artifacts with iMAR (p<0.01) in the CT images, but visual differences in the SPECT images were minor. The values of quantitative tracer uptake in VOIs near metal implants were lower for iMAR vs. noMAR xSPECT Quant (p<0.01). Only VOIs near metal showed significant differences in HU values, which were 14.6% lower for iMAR CT (p<0.01). Conclusion The use of iMAR reduces metal artifacts in CT and improves the perceived image quality. Although in some cases a significant difference in the quantitative evaluation of SPECT/CT was observed, the influence of iMAR can be considered small in relation to other factors in the clinical setting.

[1]  K. Nakajima,et al.  Metal artifact reduction for improving quantitative SPECT/CT imaging , 2021, Annals of Nuclear Medicine.

[2]  F. De Geeter,et al.  Quantitative Effect of Metal Artefact Reduction on CT-based attenuation correction in FDG PET/CT in patients with hip prosthesis , 2020, EJNMMI Physics.

[3]  C. McCollough,et al.  Benefits of iterative metal artifact reduction and dual-energy CT towards mitigating artifact in the setting of total shoulder prostheses , 2020, Skeletal Radiology.

[4]  P. Goebell,et al.  99mTc-MIP-1404 SPECT/CT for Assessment of Whole-Body Tumor Burden and Treatment Response in Patients With Biochemical Recurrence of Prostate Cancer. , 2020, Clinical nuclear medicine.

[5]  M. Sedlmair,et al.  Impact of different metal artifact reduction techniques on attenuation correction in 18F-FDG PET/CT examinations. , 2020, The British journal of radiology.

[6]  O. Prante,et al.  99mTc-MIP-1404 SPECT/CT for Patients With Metastatic Prostate Cancer: Interobserver and Intraobserver Variability in Treatment-Related Longitudinal Tracer Uptake Assessments of Prostate-Specific Membrane Antigen-Positive Lesions. , 2019, Clinical nuclear medicine.

[7]  Konstantin Nikolaou,et al.  Value of CT iterative metal artifact reduction in PET/CT-clinical evaluation in 100 patients. , 2019, The British journal of radiology.

[8]  M. Hirschmann,et al.  SPECT/CT in the Postoperative Painful Knee. , 2018, Seminars in nuclear medicine.

[9]  Osamu Abe,et al.  Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists. , 2018, Radiographics : a review publication of the Radiological Society of North America, Inc.

[10]  L. de Geus-Oei,et al.  Metal Artifact Reduction of CT Scans to Improve PET/CT , 2017, The Journal of Nuclear Medicine.

[11]  Konstantin Nikolaou,et al.  Impact of iterative metal artifact reduction on diagnostic image quality in patients with dental hardware , 2017, Acta radiologica.

[12]  M. Söderberg OVERVIEW, PRACTICAL TIPS AND POTENTIAL PITFALLS OF USING AUTOMATIC EXPOSURE CONTROL IN CT: SIEMENS CARE DOSE 4D. , 2016, Radiation protection dosimetry.

[13]  Nancy A Obuchowski,et al.  Imaging of Arthroplasties: Improved Image Quality and Lesion Detection With Iterative Metal Artifact Reduction, a New CT Metal Artifact Reduction Technique. , 2016, AJR. American journal of roentgenology.

[14]  J. Kornhuber,et al.  Absolute SPECT/CT quantification of cerebral uptake of 99mTc-HMPAO for patients with neurocognitive disorders , 2015, Nuklearmedizin.

[15]  Val M Runge,et al.  Metal Artifact Reduction in Pelvic Computed Tomography With Hip Prostheses: Comparison of Virtual Monoenergetic Extrapolations From Dual-Energy Computed Tomography and an Iterative Metal Artifact Reduction Algorithm in a Phantom Study , 2015, Investigative radiology.

[16]  T. Kuwert Skeletal SPECT/CT: a review , 2014, Clinical and Translational Imaging.

[17]  Nancy A. Obuchowski,et al.  Iterative metal artifact reduction: Evaluation and optimization of technique , 2014, Skeletal Radiology.

[18]  M. Lell,et al.  SPECT/CT in patients with lower back pain after lumbar fusion surgery , 2013, Nuclear medicine communications.

[19]  Joachim Hornegger,et al.  Absolute quantification in SPECT , 2011, European Journal of Nuclear Medicine and Molecular Imaging.

[20]  Julia F. Barrett,et al.  Artifacts in CT: recognition and avoidance. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

[21]  K. Nikolaou,et al.  Improving CT-Based PET Attenuation Correction in the Vicinity of Metal Implants by an Iterative Metal Artifact Reduction Algorithm of CT Data and Its Comparison to Dual-Energy–Based Strategies: A Phantom Study , 2017, Investigative radiology.

[22]  M. Kachelriess,et al.  Iterative Metal Artifact Reduction (iMAR): Technical Principles and Clinical Results in Radiation Therapy , 2016 .