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Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging

BACKGROUND: Our aim was to present a new data analysis technique for the early detection of tumorous lesions using single-photon emission computed tomography (SPECT) imaging. Beyond standardized uptake value (SUV) and standardized uptake concentration (SUC), the skewness and kurtosis parameters of w...

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Autores principales: Veres, Dániel S., Máthé, Domokos, Hegedűs, Nikolett, Horváth, Ildikó, Kiss, Fanni J., Taba, Gabriella, Tóth-Bodrogi, Edit, Kovács, Tibor, Szigeti, Krisztián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658620/
https://www.ncbi.nlm.nih.gov/pubmed/31346827
http://dx.doi.org/10.1186/s13550-019-0532-7
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author Veres, Dániel S.
Máthé, Domokos
Hegedűs, Nikolett
Horváth, Ildikó
Kiss, Fanni J.
Taba, Gabriella
Tóth-Bodrogi, Edit
Kovács, Tibor
Szigeti, Krisztián
author_facet Veres, Dániel S.
Máthé, Domokos
Hegedűs, Nikolett
Horváth, Ildikó
Kiss, Fanni J.
Taba, Gabriella
Tóth-Bodrogi, Edit
Kovács, Tibor
Szigeti, Krisztián
author_sort Veres, Dániel S.
collection PubMed
description BACKGROUND: Our aim was to present a new data analysis technique for the early detection of tumorous lesions using single-photon emission computed tomography (SPECT) imaging. Beyond standardized uptake value (SUV) and standardized uptake concentration (SUC), the skewness and kurtosis parameters of whole liver activity distribution histograms were examined in SPECT images to reveal the presence of tumorous cells. METHODS: Four groups of mice were used in our experiment: a healthy control group, a group of obese mice with high body mass index, and two tumorous groups (primary liver cancer group with chemically induced hepatocellular carcinoma (HCC); metastatic liver tumor group—xenograft of human melanoma (HM)). For the SPECT measurements, (99m)Tc-labeled aggregated albumin nanoparticles were administered intravenously 2 h before the liver SPECT scans (NanoSPECT/CT, Silver Upgrade, Mediso Ltd., Hungary) to image liver macrophages. Finally, SUV, SUC, skewness, and kurtosis of activity distributions were calculated from segmented whole liver volumes. RESULTS: HCC animals showed moderate (99m)Tc-albumin particle uptake with some visually identified cold spots indicating the presence of tumors. The visual detection of cold spots however was not a reliable marker of tumorous tissue in the metastatic group. The calculated SUV, SUC, and kurtosis parameters were not able to differentiate between the healthy and the tumorous groups. However, healthy and tumorous groups could be distinguished by comparing the skewness of the activity distribution. CONCLUSION: Based on our results, (99m)Tc-albumin nanoparticle injection followed by liver SPECT activity distribution skewness calculation is a suitable image analysis tool. This makes possible to effectively and quantitatively investigate liver macrophage inhomogeneity and identify invisible but present liver cold spot lesions. Skewness as a direct image-derived parameter is able to show altered tissue function even before the visual manifestation of liver tumor foci. The skewness of activity distribution might be related to an inhomogeneous distribution of macrophage cells as a consequence of microscopic tumor burden in the liver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13550-019-0532-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-66586202019-08-07 Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging Veres, Dániel S. Máthé, Domokos Hegedűs, Nikolett Horváth, Ildikó Kiss, Fanni J. Taba, Gabriella Tóth-Bodrogi, Edit Kovács, Tibor Szigeti, Krisztián EJNMMI Res Original Research BACKGROUND: Our aim was to present a new data analysis technique for the early detection of tumorous lesions using single-photon emission computed tomography (SPECT) imaging. Beyond standardized uptake value (SUV) and standardized uptake concentration (SUC), the skewness and kurtosis parameters of whole liver activity distribution histograms were examined in SPECT images to reveal the presence of tumorous cells. METHODS: Four groups of mice were used in our experiment: a healthy control group, a group of obese mice with high body mass index, and two tumorous groups (primary liver cancer group with chemically induced hepatocellular carcinoma (HCC); metastatic liver tumor group—xenograft of human melanoma (HM)). For the SPECT measurements, (99m)Tc-labeled aggregated albumin nanoparticles were administered intravenously 2 h before the liver SPECT scans (NanoSPECT/CT, Silver Upgrade, Mediso Ltd., Hungary) to image liver macrophages. Finally, SUV, SUC, skewness, and kurtosis of activity distributions were calculated from segmented whole liver volumes. RESULTS: HCC animals showed moderate (99m)Tc-albumin particle uptake with some visually identified cold spots indicating the presence of tumors. The visual detection of cold spots however was not a reliable marker of tumorous tissue in the metastatic group. The calculated SUV, SUC, and kurtosis parameters were not able to differentiate between the healthy and the tumorous groups. However, healthy and tumorous groups could be distinguished by comparing the skewness of the activity distribution. CONCLUSION: Based on our results, (99m)Tc-albumin nanoparticle injection followed by liver SPECT activity distribution skewness calculation is a suitable image analysis tool. This makes possible to effectively and quantitatively investigate liver macrophage inhomogeneity and identify invisible but present liver cold spot lesions. Skewness as a direct image-derived parameter is able to show altered tissue function even before the visual manifestation of liver tumor foci. The skewness of activity distribution might be related to an inhomogeneous distribution of macrophage cells as a consequence of microscopic tumor burden in the liver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13550-019-0532-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-07-25 /pmc/articles/PMC6658620/ /pubmed/31346827 http://dx.doi.org/10.1186/s13550-019-0532-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Veres, Dániel S.
Máthé, Domokos
Hegedűs, Nikolett
Horváth, Ildikó
Kiss, Fanni J.
Taba, Gabriella
Tóth-Bodrogi, Edit
Kovács, Tibor
Szigeti, Krisztián
Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title_full Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title_fullStr Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title_full_unstemmed Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title_short Radiomic detection of microscopic tumorous lesions in small animal liver SPECT imaging
title_sort radiomic detection of microscopic tumorous lesions in small animal liver spect imaging
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658620/
https://www.ncbi.nlm.nih.gov/pubmed/31346827
http://dx.doi.org/10.1186/s13550-019-0532-7
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