Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging

Non-invasive approaches to stratify early responses to therapy are of great value to improve cancer patient management. Here the authors design a hybrid nanovesicle-based activatable inflammation magnetic resonance method for the early prediction of response to radiotherapy.

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Detalles Bibliográficos
Autores principales:	Zijian Zhou, Hongzhang Deng, Weijing Yang, Zhantong Wang, Lisen Lin, Jeeva Munasinghe, Orit Jacobson, Yijing Liu, Longguang Tang, Qianqian Ni, Fei Kang, Yuan Liu, Gang Niu, Ruiliang Bai, Chunqi Qian, Jibin Song, Xiaoyuan Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/db7e34283bc34e708ee282374047349e
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spelling	oai:doaj.org-article:db7e34283bc34e708ee282374047349e2021-12-02T16:04:25ZEarly stratification of radiotherapy response by activatable inflammation magnetic resonance imaging10.1038/s41467-020-16771-y2041-1723https://doaj.org/article/db7e34283bc34e708ee282374047349e2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16771-yhttps://doaj.org/toc/2041-1723Non-invasive approaches to stratify early responses to therapy are of great value to improve cancer patient management. Here the authors design a hybrid nanovesicle-based activatable inflammation magnetic resonance method for the early prediction of response to radiotherapy.Zijian ZhouHongzhang DengWeijing YangZhantong WangLisen LinJeeva MunasingheOrit JacobsonYijing LiuLongguang TangQianqian NiFei KangYuan LiuGang NiuRuiliang BaiChunqi QianJibin SongXiaoyuan ChenNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zijian Zhou Hongzhang Deng Weijing Yang Zhantong Wang Lisen Lin Jeeva Munasinghe Orit Jacobson Yijing Liu Longguang Tang Qianqian Ni Fei Kang Yuan Liu Gang Niu Ruiliang Bai Chunqi Qian Jibin Song Xiaoyuan Chen Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
description	Non-invasive approaches to stratify early responses to therapy are of great value to improve cancer patient management. Here the authors design a hybrid nanovesicle-based activatable inflammation magnetic resonance method for the early prediction of response to radiotherapy.
format	article
author	Zijian Zhou Hongzhang Deng Weijing Yang Zhantong Wang Lisen Lin Jeeva Munasinghe Orit Jacobson Yijing Liu Longguang Tang Qianqian Ni Fei Kang Yuan Liu Gang Niu Ruiliang Bai Chunqi Qian Jibin Song Xiaoyuan Chen
author_facet	Zijian Zhou Hongzhang Deng Weijing Yang Zhantong Wang Lisen Lin Jeeva Munasinghe Orit Jacobson Yijing Liu Longguang Tang Qianqian Ni Fei Kang Yuan Liu Gang Niu Ruiliang Bai Chunqi Qian Jibin Song Xiaoyuan Chen
author_sort	Zijian Zhou
title	Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
title_short	Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
title_full	Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
title_fullStr	Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
title_full_unstemmed	Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
title_sort	early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/db7e34283bc34e708ee282374047349e
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_version_	1718385238073147392

Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging

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