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Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow
ABSTRACT: PURPOSE: The aim of this study is to compare the diagnostic accuracy of amino acid PET, MR perfusion and diffusion as stand-alone modalities and in combination in identifying recurrence in post-treatment gliomas and to qualitatively assess spatial concordance between the three modalities u...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371055/ https://www.ncbi.nlm.nih.gov/pubmed/34405282 http://dx.doi.org/10.1186/s41824-021-00109-y |
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author | Jabeen, Shumyla Arbind, Arpana Kumar, Dinesh Singh, Pardeep Kumar Saini, Jitender Sadashiva, Nishanth Krishna, Uday Arimappamagan, Arivazhagan Santosh, Vani Nagaraj, Chandana |
author_facet | Jabeen, Shumyla Arbind, Arpana Kumar, Dinesh Singh, Pardeep Kumar Saini, Jitender Sadashiva, Nishanth Krishna, Uday Arimappamagan, Arivazhagan Santosh, Vani Nagaraj, Chandana |
author_sort | Jabeen, Shumyla |
collection | PubMed |
description | ABSTRACT: PURPOSE: The aim of this study is to compare the diagnostic accuracy of amino acid PET, MR perfusion and diffusion as stand-alone modalities and in combination in identifying recurrence in post-treatment gliomas and to qualitatively assess spatial concordance between the three modalities using simultaneous PET-MR acquisition. METHODS: A retrospective review of 48 cases of post-treatment gliomas who underwent simultaneous PET-MRI using C11 methionine as radiotracer was performed. MR perfusion and diffusion sequences were acquired during the PET study. The following parameters were obtained: TBR(max), TBR(mean), SUV(max), and SUV(mean) from the PET images; rCBV from perfusion; and ADC(mean) and ADC(ratio) from the diffusion images. The final diagnosis was based on clinical/imaging follow-up and histopathology when available. ROC curve analysis in combination with logistic regression analysis was used to compare the diagnostic performance. Spatial concordance between modalities was graded as 0, 1, and 2 representing discordance, < 50% and > 50% concordance respectively. RESULTS: There were 35 cases of recurrence and 13 cases of post-treatment changes without recurrence. The highest area under curve (AUC) was obtained for TBR(max) followed by rCBV and ADC(ratio). The AUC increased significantly with a combination of rCBV and TBR(max). Amino acid PET showed the highest diagnostic accuracy and maximum agreement with the final diagnosis. There was discordance between ADC and PET in 22.9%, between rCBV and PET in 16.7% and between PET and contrast enhancement in 14.6% cases. CONCLUSION: Amino acid PET had the highest diagnostic accuracy in identifying recurrence in post-treatment gliomas. Combination of PET with MRI further increased the AUC thus improving the diagnostic performance. |
format | Online Article Text |
id | pubmed-8371055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83710552021-09-02 Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow Jabeen, Shumyla Arbind, Arpana Kumar, Dinesh Singh, Pardeep Kumar Saini, Jitender Sadashiva, Nishanth Krishna, Uday Arimappamagan, Arivazhagan Santosh, Vani Nagaraj, Chandana Eur J Hybrid Imaging Original Article ABSTRACT: PURPOSE: The aim of this study is to compare the diagnostic accuracy of amino acid PET, MR perfusion and diffusion as stand-alone modalities and in combination in identifying recurrence in post-treatment gliomas and to qualitatively assess spatial concordance between the three modalities using simultaneous PET-MR acquisition. METHODS: A retrospective review of 48 cases of post-treatment gliomas who underwent simultaneous PET-MRI using C11 methionine as radiotracer was performed. MR perfusion and diffusion sequences were acquired during the PET study. The following parameters were obtained: TBR(max), TBR(mean), SUV(max), and SUV(mean) from the PET images; rCBV from perfusion; and ADC(mean) and ADC(ratio) from the diffusion images. The final diagnosis was based on clinical/imaging follow-up and histopathology when available. ROC curve analysis in combination with logistic regression analysis was used to compare the diagnostic performance. Spatial concordance between modalities was graded as 0, 1, and 2 representing discordance, < 50% and > 50% concordance respectively. RESULTS: There were 35 cases of recurrence and 13 cases of post-treatment changes without recurrence. The highest area under curve (AUC) was obtained for TBR(max) followed by rCBV and ADC(ratio). The AUC increased significantly with a combination of rCBV and TBR(max). Amino acid PET showed the highest diagnostic accuracy and maximum agreement with the final diagnosis. There was discordance between ADC and PET in 22.9%, between rCBV and PET in 16.7% and between PET and contrast enhancement in 14.6% cases. CONCLUSION: Amino acid PET had the highest diagnostic accuracy in identifying recurrence in post-treatment gliomas. Combination of PET with MRI further increased the AUC thus improving the diagnostic performance. Springer International Publishing 2021-08-18 /pmc/articles/PMC8371055/ /pubmed/34405282 http://dx.doi.org/10.1186/s41824-021-00109-y 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 Article Jabeen, Shumyla Arbind, Arpana Kumar, Dinesh Singh, Pardeep Kumar Saini, Jitender Sadashiva, Nishanth Krishna, Uday Arimappamagan, Arivazhagan Santosh, Vani Nagaraj, Chandana Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title | Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title_full | Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title_fullStr | Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title_full_unstemmed | Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title_short | Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow |
title_sort | combined amino acid pet-mri for identifying recurrence in post-treatment gliomas: together we grow |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371055/ https://www.ncbi.nlm.nih.gov/pubmed/34405282 http://dx.doi.org/10.1186/s41824-021-00109-y |
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