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Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study

OBJECTIVES: This study aimed to explore the spatial distribution of brain metastases (BMs) from small cell lung cancer (SCLC) a homogenous sample, and to identify the metastatic risk levels in brain regions. METHODS: T1-enhanced magnetic resonance imaging (MRI) from SCLC patients were retrospectivel...

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Autores principales: Wang, Yong, Xia, Wei, Liu, Baoyan, Zhou, Liu, Ni, Meng, Zhang, Rui, Shen, Jingyi, Bai, Yujun, Weng, Guixiang, Yuan, Shuanghu, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201893/
https://www.ncbi.nlm.nih.gov/pubmed/34120659
http://dx.doi.org/10.1186/s40644-021-00410-w
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author Wang, Yong
Xia, Wei
Liu, Baoyan
Zhou, Liu
Ni, Meng
Zhang, Rui
Shen, Jingyi
Bai, Yujun
Weng, Guixiang
Yuan, Shuanghu
Gao, Xin
author_facet Wang, Yong
Xia, Wei
Liu, Baoyan
Zhou, Liu
Ni, Meng
Zhang, Rui
Shen, Jingyi
Bai, Yujun
Weng, Guixiang
Yuan, Shuanghu
Gao, Xin
author_sort Wang, Yong
collection PubMed
description OBJECTIVES: This study aimed to explore the spatial distribution of brain metastases (BMs) from small cell lung cancer (SCLC) a homogenous sample, and to identify the metastatic risk levels in brain regions. METHODS: T1-enhanced magnetic resonance imaging (MRI) from SCLC patients were retrospectively reviewed from three medical institutions in China. All images were registered to the standard brain template provided by the Montreal Neurological Institute (MNI) 152 database, followed by transformation of the location of all BMs to the space of standard brain. The MNI structural atlas and Anatomical Automatic Labeling (AAL) atlas were then used to identify the anatomical brain regions, and the observed and expected rates of BMs were compared using 2-tailed proportional hypothesis testing. The locations and sizes of brain lesions were analyzed after image standardization. RESULTS: A total of 215 eligible patients with 1033 lesions were screened by MRI, including 157 (73%) males and 58 (27%) females. The incidence of crucial structures were as follows: hippocampus 0.68%, parahippocampal 0.97%, brainstem 2.05%, cauate 0.68%, putamen 0.68%, pallidum 0.2%, thalamus 1.36%. No BMs were found in the amygdala, pituitary gland, or pineal gland. The cumulative frequency of the important structures was 6.62%. Based on the results of MNI structural atlas, the cerebellum, deep white matter and brainstem was identified as a higher risk region than expected for BMs (P = 9.80 ×10(−15), 9.04 ×10(−6)), whereas temporal lobe were low-risk regions (P = 1.65 ×10(−4)). More detailed AAL atlas revealed that the low-risk regions for BMs was inferior frontal gyrus (P = 6.971 ×10(−4)), while the high-risk regions for BMs was cerebellar hemispheres (P = 1.177 ×10(−9)). CONCLUSION: Many crucial structures including the hippocampus, parahippocampus, pituitary gland and thalamus etc. have low frequency of brain metastases in a population of SCLC patients. This study provides the help to investigate the clinical feasibility of HA-WBRT and non-uniform dose of PCI in a population of SCLC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-021-00410-w.
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spelling pubmed-82018932021-06-16 Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study Wang, Yong Xia, Wei Liu, Baoyan Zhou, Liu Ni, Meng Zhang, Rui Shen, Jingyi Bai, Yujun Weng, Guixiang Yuan, Shuanghu Gao, Xin Cancer Imaging Research Article OBJECTIVES: This study aimed to explore the spatial distribution of brain metastases (BMs) from small cell lung cancer (SCLC) a homogenous sample, and to identify the metastatic risk levels in brain regions. METHODS: T1-enhanced magnetic resonance imaging (MRI) from SCLC patients were retrospectively reviewed from three medical institutions in China. All images were registered to the standard brain template provided by the Montreal Neurological Institute (MNI) 152 database, followed by transformation of the location of all BMs to the space of standard brain. The MNI structural atlas and Anatomical Automatic Labeling (AAL) atlas were then used to identify the anatomical brain regions, and the observed and expected rates of BMs were compared using 2-tailed proportional hypothesis testing. The locations and sizes of brain lesions were analyzed after image standardization. RESULTS: A total of 215 eligible patients with 1033 lesions were screened by MRI, including 157 (73%) males and 58 (27%) females. The incidence of crucial structures were as follows: hippocampus 0.68%, parahippocampal 0.97%, brainstem 2.05%, cauate 0.68%, putamen 0.68%, pallidum 0.2%, thalamus 1.36%. No BMs were found in the amygdala, pituitary gland, or pineal gland. The cumulative frequency of the important structures was 6.62%. Based on the results of MNI structural atlas, the cerebellum, deep white matter and brainstem was identified as a higher risk region than expected for BMs (P = 9.80 ×10(−15), 9.04 ×10(−6)), whereas temporal lobe were low-risk regions (P = 1.65 ×10(−4)). More detailed AAL atlas revealed that the low-risk regions for BMs was inferior frontal gyrus (P = 6.971 ×10(−4)), while the high-risk regions for BMs was cerebellar hemispheres (P = 1.177 ×10(−9)). CONCLUSION: Many crucial structures including the hippocampus, parahippocampus, pituitary gland and thalamus etc. have low frequency of brain metastases in a population of SCLC patients. This study provides the help to investigate the clinical feasibility of HA-WBRT and non-uniform dose of PCI in a population of SCLC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-021-00410-w. BioMed Central 2021-06-13 /pmc/articles/PMC8201893/ /pubmed/34120659 http://dx.doi.org/10.1186/s40644-021-00410-w 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wang, Yong
Xia, Wei
Liu, Baoyan
Zhou, Liu
Ni, Meng
Zhang, Rui
Shen, Jingyi
Bai, Yujun
Weng, Guixiang
Yuan, Shuanghu
Gao, Xin
Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title_full Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title_fullStr Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title_full_unstemmed Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title_short Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
title_sort exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201893/
https://www.ncbi.nlm.nih.gov/pubmed/34120659
http://dx.doi.org/10.1186/s40644-021-00410-w
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