Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer

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Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer. / Olin, Anders; Ladefoged, Claes N; Langer, Natasha H; Keller, Sune H; Löfgren, Johan; Hansen, Adam E; Kjær, Andreas; Langer, Seppo W; Fischer, Barbara M; Andersen, Flemming L.

I: The Journal of Nuclear Medicine, Bind 59, Nr. 6, 2018, s. 999-1004.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Olin, A, Ladefoged, CN, Langer, NH, Keller, SH, Löfgren, J, Hansen, AE, Kjær, A, Langer, SW, Fischer, BM & Andersen, FL 2018, 'Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer', The Journal of Nuclear Medicine, bind 59, nr. 6, s. 999-1004. https://doi.org/10.2967/jnumed.117.198853

APA

Olin, A., Ladefoged, C. N., Langer, N. H., Keller, S. H., Löfgren, J., Hansen, A. E., Kjær, A., Langer, S. W., Fischer, B. M., & Andersen, F. L. (2018). Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer. The Journal of Nuclear Medicine, 59(6), 999-1004. https://doi.org/10.2967/jnumed.117.198853

Vancouver

Olin A, Ladefoged CN, Langer NH, Keller SH, Löfgren J, Hansen AE o.a. Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer. The Journal of Nuclear Medicine. 2018;59(6):999-1004. https://doi.org/10.2967/jnumed.117.198853

Author

Olin, Anders ; Ladefoged, Claes N ; Langer, Natasha H ; Keller, Sune H ; Löfgren, Johan ; Hansen, Adam E ; Kjær, Andreas ; Langer, Seppo W ; Fischer, Barbara M ; Andersen, Flemming L. / Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer. I: The Journal of Nuclear Medicine. 2018 ; Bind 59, Nr. 6. s. 999-1004.

Bibtex

@article{7a53aed426274b16adf9895a8e444717,
title = "Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer",
abstract = "Quantitative PET/MRI is dependent on reliable and reproducible MR-based attenuation correction (MR-AC). In this study, we evaluated the quality of current vendor-provided thoracic MR-AC maps and further investigated the reproducibility of their impact on 18F-FDG PET quantification in patients with non-small cell lung cancer. Methods: Eleven patients with inoperable non-small cell lung cancer underwent 2-5 thoracic PET/MRI scan-rescan examinations within 22 d. 18F-FDG PET data were acquired along with 2 Dixon MR-AC maps for each examination. Two PET images (PETA and PETB) were reconstructed using identical PET emission data but with MR-AC from these intrasubject repeated attenuation maps. In total, 90 MR-AC maps were evaluated visually for quality and the occurrence of categorized artifacts by 2 PET/MRI-experienced physicians. Each tumor was outlined by a volume of interest (40% isocontour of maximum) on PETA, which was then projected onto the corresponding PETB SUVmean and SUVmax were assessed from the PET images. Within-examination coefficients of variation and Bland-Altman analyses were conducted for the assessment of SUV variations between PETA and PETBResults: Image artifacts were observed in 86% of the MR-AC maps, and 30% of the MR-AC maps were subjectively expected to affect the tumor SUV. SUVmean and SUVmax resulted in coefficients of variation of 5.6% and 6.6%, respectively, and scan-rescan SUV variations were within ±20% in 95% of the cases. Substantial SUV variations were seen mainly for scan-rescan examinations affected by respiratory motion. Conclusion: Artifacts occur frequently in standard thoracic MR-AC maps, affecting the reproducibility of PET/MRI. These, in combination with other well-known sources of error associated with PET/MRI examinations, lead to inconsistent SUV measurements in serial studies, which may affect the reliability of therapy response assessment. A thorough visual inspection of the thoracic MR-AC map and Dixon images from which it is derived remains crucial for the detection of MR-AC artifacts that may influence the reliability of SUV.",
author = "Anders Olin and Ladefoged, {Claes N} and Langer, {Natasha H} and Keller, {Sune H} and Johan L{\"o}fgren and Hansen, {Adam E} and Andreas Kj{\ae}r and Langer, {Seppo W} and Fischer, {Barbara M} and Andersen, {Flemming L}",
note = "{\textcopyright} 2018 by the Society of Nuclear Medicine and Molecular Imaging.",
year = "2018",
doi = "10.2967/jnumed.117.198853",
language = "English",
volume = "59",
pages = "999--1004",
journal = "The Journal of Nuclear Medicine",
issn = "0161-5505",
publisher = "Society of Nuclear Medicine",
number = "6",

}

RIS

TY - JOUR

T1 - Reproducibility of MR-Based Attenuation Maps in PET/MRI and the Impact on PET Quantification in Lung Cancer

AU - Olin, Anders

AU - Ladefoged, Claes N

AU - Langer, Natasha H

AU - Keller, Sune H

AU - Löfgren, Johan

AU - Hansen, Adam E

AU - Kjær, Andreas

AU - Langer, Seppo W

AU - Fischer, Barbara M

AU - Andersen, Flemming L

N1 - © 2018 by the Society of Nuclear Medicine and Molecular Imaging.

PY - 2018

Y1 - 2018

N2 - Quantitative PET/MRI is dependent on reliable and reproducible MR-based attenuation correction (MR-AC). In this study, we evaluated the quality of current vendor-provided thoracic MR-AC maps and further investigated the reproducibility of their impact on 18F-FDG PET quantification in patients with non-small cell lung cancer. Methods: Eleven patients with inoperable non-small cell lung cancer underwent 2-5 thoracic PET/MRI scan-rescan examinations within 22 d. 18F-FDG PET data were acquired along with 2 Dixon MR-AC maps for each examination. Two PET images (PETA and PETB) were reconstructed using identical PET emission data but with MR-AC from these intrasubject repeated attenuation maps. In total, 90 MR-AC maps were evaluated visually for quality and the occurrence of categorized artifacts by 2 PET/MRI-experienced physicians. Each tumor was outlined by a volume of interest (40% isocontour of maximum) on PETA, which was then projected onto the corresponding PETB SUVmean and SUVmax were assessed from the PET images. Within-examination coefficients of variation and Bland-Altman analyses were conducted for the assessment of SUV variations between PETA and PETBResults: Image artifacts were observed in 86% of the MR-AC maps, and 30% of the MR-AC maps were subjectively expected to affect the tumor SUV. SUVmean and SUVmax resulted in coefficients of variation of 5.6% and 6.6%, respectively, and scan-rescan SUV variations were within ±20% in 95% of the cases. Substantial SUV variations were seen mainly for scan-rescan examinations affected by respiratory motion. Conclusion: Artifacts occur frequently in standard thoracic MR-AC maps, affecting the reproducibility of PET/MRI. These, in combination with other well-known sources of error associated with PET/MRI examinations, lead to inconsistent SUV measurements in serial studies, which may affect the reliability of therapy response assessment. A thorough visual inspection of the thoracic MR-AC map and Dixon images from which it is derived remains crucial for the detection of MR-AC artifacts that may influence the reliability of SUV.

AB - Quantitative PET/MRI is dependent on reliable and reproducible MR-based attenuation correction (MR-AC). In this study, we evaluated the quality of current vendor-provided thoracic MR-AC maps and further investigated the reproducibility of their impact on 18F-FDG PET quantification in patients with non-small cell lung cancer. Methods: Eleven patients with inoperable non-small cell lung cancer underwent 2-5 thoracic PET/MRI scan-rescan examinations within 22 d. 18F-FDG PET data were acquired along with 2 Dixon MR-AC maps for each examination. Two PET images (PETA and PETB) were reconstructed using identical PET emission data but with MR-AC from these intrasubject repeated attenuation maps. In total, 90 MR-AC maps were evaluated visually for quality and the occurrence of categorized artifacts by 2 PET/MRI-experienced physicians. Each tumor was outlined by a volume of interest (40% isocontour of maximum) on PETA, which was then projected onto the corresponding PETB SUVmean and SUVmax were assessed from the PET images. Within-examination coefficients of variation and Bland-Altman analyses were conducted for the assessment of SUV variations between PETA and PETBResults: Image artifacts were observed in 86% of the MR-AC maps, and 30% of the MR-AC maps were subjectively expected to affect the tumor SUV. SUVmean and SUVmax resulted in coefficients of variation of 5.6% and 6.6%, respectively, and scan-rescan SUV variations were within ±20% in 95% of the cases. Substantial SUV variations were seen mainly for scan-rescan examinations affected by respiratory motion. Conclusion: Artifacts occur frequently in standard thoracic MR-AC maps, affecting the reproducibility of PET/MRI. These, in combination with other well-known sources of error associated with PET/MRI examinations, lead to inconsistent SUV measurements in serial studies, which may affect the reliability of therapy response assessment. A thorough visual inspection of the thoracic MR-AC map and Dixon images from which it is derived remains crucial for the detection of MR-AC artifacts that may influence the reliability of SUV.

U2 - 10.2967/jnumed.117.198853

DO - 10.2967/jnumed.117.198853

M3 - Journal article

C2 - 29123008

VL - 59

SP - 999

EP - 1004

JO - The Journal of Nuclear Medicine

JF - The Journal of Nuclear Medicine

SN - 0161-5505

IS - 6

ER -

ID: 216461761