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ORIGINAL RESEARCH article

Front. Neurosci., 25 May 2023
Sec. Brain Imaging Methods
Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1177044
This article is part of the Research Topic New Challenges and Future Perspectives in Brain Imaging Methods View all 15 articles

RETRACTED: Comparing the predictive value of quantitative magnetic resonance imaging parametric response mapping and conventional perfusion magnetic resonance imaging for clinical outcomes in patients with chronic ischemic stroke

Updated

A retraction of this article was approved in:

  1. Retraction: Comparing the predictive value of quantitative magnetic resonance imaging parametric response mapping and conventional perfusion magnetic resonance imaging for clinical outcomes in patients with chronic ischemic stroke

    1. Read retraction

  2. Expression of concern: Comparing the predictive value of quantitative magnetic resonance imaging parametric response mapping and conventional perfusion magnetic resonance imaging for clinical outcomes in patients with chronic ischemic stroke

    1. Read correction
Rui He&#x;Rui He1†Jia Zhou&#x;Jia Zhou1†Xiaoyu XuXiaoyu Xu1Xiaoer WeiXiaoer Wei1Feng WangFeng Wang2Yuehua Li Yuehua Li1*
  • 1Department of Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 2Department of Neurology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: He R, Zhou J, Xu X, Wei X, Wang F and Li Y (2023) RETRACTED: Comparing the predictive value of quantitative magnetic resonance imaging parametric response mapping and conventional perfusion magnetic resonance imaging for clinical outcomes in patients with chronic ischemic stroke. Front. Neurosci. 17:1177044. doi: 10.3389/fnins.2023.1177044

Received: 01 March 2023; Accepted: 02 May 2023;
Published: 25 May 2023; Retracted: 07 October 2024.

Edited by:

Nico Sollmann, University of California, San Francisco, United States

Reviewed by:

Yang Yingjian, Northeastern University, China
Chaoran Yang, Northeastern University, China

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