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Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors

BACKGROUND: (99m)Tc-macroaggregated albumin ((99m)Tc-MAA) scintigraphy is utilized in treatment planning for Yttrium-90 ((90)Y) Selective Internal Radiation Therapy (SIRT) of liver tumors to evaluate hepatopulmonary shunting by calculating the lung shunt fraction (LSF). The purpose of this study was...

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Autores principales: Georgiou, Mike F., Kuker, Russ A., Studenski, Matthew T., Ahlman, Preeti P., Witte, Megan, Portelance, Lorraine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479035/
https://www.ncbi.nlm.nih.gov/pubmed/34585259
http://dx.doi.org/10.1186/s13550-021-00837-z
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author Georgiou, Mike F.
Kuker, Russ A.
Studenski, Matthew T.
Ahlman, Preeti P.
Witte, Megan
Portelance, Lorraine
author_facet Georgiou, Mike F.
Kuker, Russ A.
Studenski, Matthew T.
Ahlman, Preeti P.
Witte, Megan
Portelance, Lorraine
author_sort Georgiou, Mike F.
collection PubMed
description BACKGROUND: (99m)Tc-macroaggregated albumin ((99m)Tc-MAA) scintigraphy is utilized in treatment planning for Yttrium-90 ((90)Y) Selective Internal Radiation Therapy (SIRT) of liver tumors to evaluate hepatopulmonary shunting by calculating the lung shunt fraction (LSF). The purpose of this study was to evaluate if LSF calculation using SPECT/CT instead of planar gamma camera imaging is more accurate and if this can potentially lead to more effective treatment planning of hepatic lesions while avoiding excessive pulmonary irradiation. RESULTS: LSF calculation was obtained using two different methodologies in 85 cases from consecutive patients intended to receive (90)Y SIRT. The first method was based on planar gamma camera imaging in the anterior and posterior views with geometric mean calculation of the LSF from regions of interest of the liver and lungs. The second method was based on segmentation of the liver and lungs from SPECT/CT images of the thorax and abdomen. The differences in planar imaging versus SPECT/CT derived LSF values along with the estimated absorbed lung mean dose (LMD) were evaluated. The LSF values were higher in planar imaging versus SPECT/CT in 81/85 cases, with a mean value of 8.5% vs. 4.6% respectively; the difference was statistically significant using a paired t-test (alpha = 0.05). In those patients who received SIRT, the estimated absorbed LMD calculated with planar imaging was significantly higher than with SPECT/CT (t-test, P < 0.005). Repeated phantom experiments using an anthropomorphic torso phantom with variable (99m)Tc activity concentrations for the liver and lungs were performed with the standard patient protocol, demonstrated improved accuracy of the LSF calculation based on SPECT/CT than planar imaging (mean overestimated value of 6% vs. 26%). CONCLUSIONS: This study demonstrates that LSF calculation using planar imaging can be significantly overestimated while calculation using SPECT/CT imaging and appropriate segmentation tools can be more accurate. Minimizing the errors in obtaining the LSF can lead to more effective (90)Y SIRT treatment planning for hepatic tumors while ensuring the lung dose will not exceed the standard acceptable safety thresholds.
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spelling pubmed-84790352021-10-08 Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors Georgiou, Mike F. Kuker, Russ A. Studenski, Matthew T. Ahlman, Preeti P. Witte, Megan Portelance, Lorraine EJNMMI Res Original Research BACKGROUND: (99m)Tc-macroaggregated albumin ((99m)Tc-MAA) scintigraphy is utilized in treatment planning for Yttrium-90 ((90)Y) Selective Internal Radiation Therapy (SIRT) of liver tumors to evaluate hepatopulmonary shunting by calculating the lung shunt fraction (LSF). The purpose of this study was to evaluate if LSF calculation using SPECT/CT instead of planar gamma camera imaging is more accurate and if this can potentially lead to more effective treatment planning of hepatic lesions while avoiding excessive pulmonary irradiation. RESULTS: LSF calculation was obtained using two different methodologies in 85 cases from consecutive patients intended to receive (90)Y SIRT. The first method was based on planar gamma camera imaging in the anterior and posterior views with geometric mean calculation of the LSF from regions of interest of the liver and lungs. The second method was based on segmentation of the liver and lungs from SPECT/CT images of the thorax and abdomen. The differences in planar imaging versus SPECT/CT derived LSF values along with the estimated absorbed lung mean dose (LMD) were evaluated. The LSF values were higher in planar imaging versus SPECT/CT in 81/85 cases, with a mean value of 8.5% vs. 4.6% respectively; the difference was statistically significant using a paired t-test (alpha = 0.05). In those patients who received SIRT, the estimated absorbed LMD calculated with planar imaging was significantly higher than with SPECT/CT (t-test, P < 0.005). Repeated phantom experiments using an anthropomorphic torso phantom with variable (99m)Tc activity concentrations for the liver and lungs were performed with the standard patient protocol, demonstrated improved accuracy of the LSF calculation based on SPECT/CT than planar imaging (mean overestimated value of 6% vs. 26%). CONCLUSIONS: This study demonstrates that LSF calculation using planar imaging can be significantly overestimated while calculation using SPECT/CT imaging and appropriate segmentation tools can be more accurate. Minimizing the errors in obtaining the LSF can lead to more effective (90)Y SIRT treatment planning for hepatic tumors while ensuring the lung dose will not exceed the standard acceptable safety thresholds. Springer Berlin Heidelberg 2021-09-28 /pmc/articles/PMC8479035/ /pubmed/34585259 http://dx.doi.org/10.1186/s13550-021-00837-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Georgiou, Mike F.
Kuker, Russ A.
Studenski, Matthew T.
Ahlman, Preeti P.
Witte, Megan
Portelance, Lorraine
Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title_full Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title_fullStr Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title_full_unstemmed Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title_short Lung shunt fraction calculation using (99m)Tc-MAA SPECT/CT imaging for (90)Y microsphere selective internal radiation therapy of liver tumors
title_sort lung shunt fraction calculation using (99m)tc-maa spect/ct imaging for (90)y microsphere selective internal radiation therapy of liver tumors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479035/
https://www.ncbi.nlm.nih.gov/pubmed/34585259
http://dx.doi.org/10.1186/s13550-021-00837-z
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