The impact of image reconstruction bias on PET/CT 90Y dosimetry after radioembolization

Katie N. Tapp, William B. Lea, Matthew S. Johnson, Mark Tann, James Fletcher, Gary Hutchins

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

PET/CT imaging after radioembolization is a viable method for determining the posttreatment 90Y distribution in the liver. Low true-to-random coincidence ratios in 90Y PET studies limit the quantitative accuracy of these studies when reconstruction algorithms optimized for traditional PET imaging are used. This study examined these quantitative limitations and assessed the feasibility of generating radiation dosimetry maps in liver regions with high and low 90Y concentrations. Methods: 90Y PET images were collected on a PET/CT scanner and iteratively reconstructed with the vendor-supplied reconstruction algorithm. PET studies on a Jaszczak cylindric phantom were performed to determine quantitative accuracy and minimum detectable concentration (MDC). 90Y and 18F point-source studies were used to investigate the possible increase in detected random coincidence events due to bremsstrahlung photons. Retrospective quantitative analyses were performed on 90Y PET/CT images obtained after 65 right or left hepatic artery radioembolizations in 59 patients. Quantitative image errors were determined by comparing the measured image activity with the assayed 90Y activity. PET images were converted to dose maps through convolution with voxel S values generated using MCNPX, a Monte Carlo N-particle transport code system for multiparticle and high-energy applications. Tumor and parenchyma doses and potential bias based on measurements found below the MDC were recorded. Results: Random coincidences were found to increase in 90Y acquisitions, compared with 18F acquisitions, at similar positron emission rates because of bremsstrahlung photons. Positive bias was observed in all images. Quantitative accuracy was achieved for phantom inserts above the MDC of 1 MBq/mL. The mean dose to viable tumors was 183.6 ± 156.5 Gy, with an average potential bias of 3.3 ± 6.4 Gy. The mean dose to the parenchyma was 97.1 ± 22.1 Gy, with an average potential bias of 8.9 ± 4.9 Gy. Conclusion: The low signal-to-noise ratio caused by low positron emission rates and high bremsstrahlung photon production resulted in a positive bias on 90Y PET images reconstructed with conventional iterative algorithms. However, quantitative accuracy was good at high activity concentrations, such as those found in tumor volumes, allowing for adequate tumor 90Y PET/CT dosimetry after radioembolization. COPYRIGHT

Original languageEnglish
Pages (from-to)1452-1458
Number of pages7
JournalJournal of Nuclear Medicine
Volume55
Issue number9
DOIs
StatePublished - Sep 1 2014

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Computer-Assisted Image Processing
Photons
Electrons
Radiometry
Neoplasms
Liver
Hepatic Artery
Signal-To-Noise Ratio
Tumor Burden

Keywords

  • Y dosimetry
  • Quantitative PET/CT
  • Reconstruction bias

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Medicine(all)

Cite this

The impact of image reconstruction bias on PET/CT 90Y dosimetry after radioembolization. / Tapp, Katie N.; Lea, William B.; Johnson, Matthew S.; Tann, Mark; Fletcher, James; Hutchins, Gary.

In: Journal of Nuclear Medicine, Vol. 55, No. 9, 01.09.2014, p. 1452-1458.

Research output: Contribution to journalArticle

Tapp, Katie N. ; Lea, William B. ; Johnson, Matthew S. ; Tann, Mark ; Fletcher, James ; Hutchins, Gary. / The impact of image reconstruction bias on PET/CT 90Y dosimetry after radioembolization. In: Journal of Nuclear Medicine. 2014 ; Vol. 55, No. 9. pp. 1452-1458.
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