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Research ArticleImaging

Improving 90Y PET Scan Image Quality Through Optimized Reconstruction Algorithms

Pei Ing Ngam, Eelin Tan, Gabriel Lim and Sean Xuexian Yan
Journal of Nuclear Medicine Technology March 2023, 51 (1) 26-31; DOI: https://doi.org/10.2967/jnmt.122.264439
Pei Ing Ngam
1Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore;
2Department of Diagnostic Imaging, National University Hospital, Singapore; and
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Eelin Tan
3SingHealth Radiological Sciences Academic Clinical Programme, Singapore General Hospital, Singapore
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Gabriel Lim
1Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore;
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Sean Xuexian Yan
1Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore;
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Abstract

This study aimed to improve the quality of 90Y PET imaging by optimizing the reconstruction algorithm. Methods: We recruited 10 patients with neuroendocrine tumor metastatic to the liver or primary hepatocellular carcinoma who were qualified for 90Y-labeled selective internal radiation therapy or peptide receptor radionuclide therapy. They underwent posttherapeutic PET/CT imaging using 3 different reconstruction parameters: VUE Point HD with a 6.4-mm filter cutoff, 24 subsets, and 2 iterations (algorithm A); VUE Point FX with a 6.0-mm filter cutoff, 18 subsets, and 3 iterations using time of flight (algorithm B); and VUE Point HD (LKYG) with a 5-mm filter cutoff, 32 subsets, and 1 iteration (algorithm C). The reconstructed PET/CT images were assessed by 10 nuclear medicine physicians using 4-point semiqualitative scoring criteria. A P value of less than 0.05 was considered significant. Results: The median quality assessment scores for algorithm C were consistently scored the highest, with algorithms A, B, and C, scoring 3, 2, and 4, respectively. The 90Y PET scans using algorithm C were deemed diagnostic 91% of the time. There was a statistically significant difference in quality assessment scores among the algorithms by the Kruskal–Wallis rank sum test (Embedded Image = 86.5, P < 0.001), with a mean rank quality score of 130.03 for algorithm A, 109.76 for algorithm B, and 211.71 for algorithm C. Subgroup analysis for quality assessment scoring of post–peptide receptor radionuclide therapy imaging alone showed a statistically significant difference between different scanning algorithms (Embedded Image = 35.35, P < 0.001), with mean rank quality scores of 45.85 for algorithm A, 50.05 for algorithm B, and 85.6 for algorithm C. Similar results were observed for quality assessment scoring of imaging after selective internal radiation therapy (Embedded Image = 79.90, P < 0.001), with mean ranks of 82.33 for algorithm A, 55.79 for algorithm B, and 133.38 for algorithm C. Conclusion: The new LKYG algorithm that was featured by decreasing the number of iterations, decreasing the cutoff of the filter thickness, and increasing the number of subsets successfully improved image quality.

  • reconstruction algorithms
  • image quality
  • 90Y PET
  • SIRT
  • PRRT

Footnotes

  • Published online Nov. 9, 2022.

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Journal of Nuclear Medicine Technology: 51 (1)
Journal of Nuclear Medicine Technology
Vol. 51, Issue 1
March 1, 2023
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Improving 90Y PET Scan Image Quality Through Optimized Reconstruction Algorithms
Pei Ing Ngam, Eelin Tan, Gabriel Lim, Sean Xuexian Yan
Journal of Nuclear Medicine Technology Mar 2023, 51 (1) 26-31; DOI: 10.2967/jnmt.122.264439

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Improving 90Y PET Scan Image Quality Through Optimized Reconstruction Algorithms
Pei Ing Ngam, Eelin Tan, Gabriel Lim, Sean Xuexian Yan
Journal of Nuclear Medicine Technology Mar 2023, 51 (1) 26-31; DOI: 10.2967/jnmt.122.264439
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Keywords

  • reconstruction algorithms
  • image quality
  • 90Y PET
  • SIRT
  • PRRT
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