Cargando…

Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer

BACKGROUND: Lung cancer brain metastases are very common and one of the common causes of treatment failure. We aimed to examine the clinical use of chemical exchange saturation transfer (CEST) technology in the evaluation of brain metastases for lung cancer diagnosis and prognosis. METHODS: We inclu...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yonggui, Qu, Xiaobo, Huang, Yihui, Afsar, Khan, Yan, Gen, Guo, Gang, Duan, Shaoyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958938/
https://www.ncbi.nlm.nih.gov/pubmed/31931731
http://dx.doi.org/10.1186/s12880-019-0400-y
_version_ 1783487500707168256
author Yang, Yonggui
Qu, Xiaobo
Huang, Yihui
Afsar, Khan
Yan, Gen
Guo, Gang
Duan, Shaoyin
author_facet Yang, Yonggui
Qu, Xiaobo
Huang, Yihui
Afsar, Khan
Yan, Gen
Guo, Gang
Duan, Shaoyin
author_sort Yang, Yonggui
collection PubMed
description BACKGROUND: Lung cancer brain metastases are very common and one of the common causes of treatment failure. We aimed to examine the clinical use of chemical exchange saturation transfer (CEST) technology in the evaluation of brain metastases for lung cancer diagnosis and prognosis. METHODS: We included26 cases of lung cancer brain metastases, 15 cases of gliomas, and 20 cases with normal tests. The magnetization transfer ratio (MTR;3.5 ppm) image from the GRE-EPI-CEST sequence was analyzed using the ASSET technique and APT technology. The MTR values were measured in the lesion-parenchymal, edema, and non-focus regions, and the MTR image was compared with the conventional MRI. ANOVA and t-test were used for statistical analysis. RESULTS: The lesion-parenchymal, edema, and non-focus areas in the metastatic-tumor-group were red-yellow, yellow-green, and green-blue, and the MTR values were 3.29 ± 1.14%,1.28 ± 0.36%,and 1.26 ± 0.31%, respectively. However, in the glioma-group, the corresponding areas were red, red-yellow, and green-blue, and the MTR values were 6.29 ± 1.58%, 2.87 ± 0.65%, and 1.03 ± 0.30%, respectively. The MTR values of the corresponding areas in the normal-group were 1.07 ± 0.22%,1.04 ± 0.23%, and 1.06 ± 0.24%, respectively. Traditional MR images are in black-white contrast and no metabolic information is displayed. The MTRvalues of the three regions were significantly different among the three groups. The values were also significantly different between the parenchymal and edema areas in the metastatic-tumor-group. There were significant differences in the MTR values between the non-lesion and edema regions, but there was no significant difference between the edema and non-focus areas. In the glioma-group, there were significant differences in the MTR values between the parenchymal and edema areas, between the parenchymal and non-focus areas, and between the edema and non-focus areas. CONCLUSIONS: CEST reflects the protein metabolism; therefore, early diagnosis of brain metastases and assessment of the prognosis can be achieved using molecular imaging.
format Online
Article
Text
id pubmed-6958938
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69589382020-01-17 Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer Yang, Yonggui Qu, Xiaobo Huang, Yihui Afsar, Khan Yan, Gen Guo, Gang Duan, Shaoyin BMC Med Imaging Research Article BACKGROUND: Lung cancer brain metastases are very common and one of the common causes of treatment failure. We aimed to examine the clinical use of chemical exchange saturation transfer (CEST) technology in the evaluation of brain metastases for lung cancer diagnosis and prognosis. METHODS: We included26 cases of lung cancer brain metastases, 15 cases of gliomas, and 20 cases with normal tests. The magnetization transfer ratio (MTR;3.5 ppm) image from the GRE-EPI-CEST sequence was analyzed using the ASSET technique and APT technology. The MTR values were measured in the lesion-parenchymal, edema, and non-focus regions, and the MTR image was compared with the conventional MRI. ANOVA and t-test were used for statistical analysis. RESULTS: The lesion-parenchymal, edema, and non-focus areas in the metastatic-tumor-group were red-yellow, yellow-green, and green-blue, and the MTR values were 3.29 ± 1.14%,1.28 ± 0.36%,and 1.26 ± 0.31%, respectively. However, in the glioma-group, the corresponding areas were red, red-yellow, and green-blue, and the MTR values were 6.29 ± 1.58%, 2.87 ± 0.65%, and 1.03 ± 0.30%, respectively. The MTR values of the corresponding areas in the normal-group were 1.07 ± 0.22%,1.04 ± 0.23%, and 1.06 ± 0.24%, respectively. Traditional MR images are in black-white contrast and no metabolic information is displayed. The MTRvalues of the three regions were significantly different among the three groups. The values were also significantly different between the parenchymal and edema areas in the metastatic-tumor-group. There were significant differences in the MTR values between the non-lesion and edema regions, but there was no significant difference between the edema and non-focus areas. In the glioma-group, there were significant differences in the MTR values between the parenchymal and edema areas, between the parenchymal and non-focus areas, and between the edema and non-focus areas. CONCLUSIONS: CEST reflects the protein metabolism; therefore, early diagnosis of brain metastases and assessment of the prognosis can be achieved using molecular imaging. BioMed Central 2020-01-13 /pmc/articles/PMC6958938/ /pubmed/31931731 http://dx.doi.org/10.1186/s12880-019-0400-y Text en © The Author(s). 2020 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yang, Yonggui
Qu, Xiaobo
Huang, Yihui
Afsar, Khan
Yan, Gen
Guo, Gang
Duan, Shaoyin
Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title_full Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title_fullStr Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title_full_unstemmed Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title_short Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
title_sort preliminary application of 3.0 t magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958938/
https://www.ncbi.nlm.nih.gov/pubmed/31931731
http://dx.doi.org/10.1186/s12880-019-0400-y
work_keys_str_mv AT yangyonggui preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT quxiaobo preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT huangyihui preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT afsarkhan preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT yangen preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT guogang preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer
AT duanshaoyin preliminaryapplicationof30tmagneticresonancechemicalexchangesaturationtransferimaginginbrainmetastasisoflungcancer