Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response

被引:31
|
作者
Roberts, Thomas A. [1 ]
Hyare, Harpreet [2 ,3 ]
Agliardi, Giulia [1 ]
Hipwell, Ben [1 ]
D'Esposito, Angela [1 ]
Ianus, Andrada [4 ]
Breen-Norris, James O. [1 ]
Ramasawmy, Rajiv [1 ]
Taylor, Valerie [1 ]
Atkinson, David [2 ]
Punwani, Shonit [2 ]
Lythgoe, Mark F. [1 ]
Siow, Bernard [1 ]
Brandner, Sebastian [5 ]
Rees, Jeremy [6 ]
Panagiotaki, Eleftheria [4 ]
Alexander, Daniel C. [4 ]
Walker-Samuel, Simon [1 ]
机构
[1] UCL, Ctr Adv Biomed Imaging, London, England
[2] UCL, Ctr Med Imaging, Div Med, London, England
[3] UCL Inst Neurol, Dept Brain Repair & Rehabil, London, England
[4] UCL, Ctr Med Image Comp, Dept Comp Sci, London, England
[5] UCL Inst Neurol, Div Neuropathol, London, England
[6] Natl Hosp Neurol & Neurosurg, London, England
基金
英国工程与自然科学研究理事会; 英国惠康基金;
关键词
NEURITE ORIENTATION DISPERSION; GLIOBLASTOMA-MULTIFORME; SELF-DIFFUSION; MRI; MODEL; MICROSTRUCTURE; SPECTROSCOPY; CHEMOTHERAPY; CRITERIA; NODDI;
D O I
10.1038/s41598-020-65956-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cancer cells differ in size from those of their host tissue and are known to change in size during the processes of cell death. A noninvasive method for monitoring cell size would be highly advantageous as a potential biomarker of malignancy and early therapeutic response. This need is particularly acute in brain tumours where biopsy is a highly invasive procedure. Here, diffusion MRI data were acquired in a GL261 glioma mouse model before and during treatment with Temozolomide. The biophysical model VERDICT (Vascular Extracellular and Restricted Diffusion for Cytometry in Tumours) was applied to the MRI data to quantify multi-compartmental parameters connected to the underlying tissue microstructure, which could potentially be useful clinical biomarkers. These parameters were compared to ADC and kurtosis diffusion models, and, measures from histology and optical projection tomography. MRI data was also acquired in patients to assess the feasibility of applying VERDICT in a range of different glioma subtypes. In the GL261 gliomas, cellular changes were detected according to the VERDICT model in advance of gross tumour volume changes as well as ADC and kurtosis models. VERDICT parameters in glioblastoma patients were most consistent with the GL261 mouse model, whilst displaying additional regions of localised tissue heterogeneity. The present VERDICT model was less appropriate for modelling more diffuse astrocytomas and oligodendrogliomas, but could be tuned to improve the representation of these tumour types. Biophysical modelling of the diffusion MRI signal permits monitoring of brain tumours without invasive intervention. VERDICT responds to microstructural changes induced by chemotherapy, is feasible within clinical scan times and could provide useful biomarkers of treatment response.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Diffusion-Weighted Magnetic Resonance Imaging for Therapy Response Monitoring and Early Treatment Prediction of Photothermal Therapy
    Fu, Guifeng
    Zhu, Lei
    Yang, Kai
    Zhuang, Rongqiang
    Xie, Jin
    Zhang, Fan
    ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (08) : 5137 - 5147
  • [42] Early Assessment of Induction Chemotherapy Response of Nasopharyngeal Carcinoma by Pretreatment Diffusion-Weighted Magnetic Resonance Imaging
    Zheng, Dechun
    Chen, Yunbin
    Chen, Ying
    Xu, Luying
    Lin, Fengjie
    Lin, Jin
    Huang, Chaobin
    Pan, Jianji
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2013, 37 (05) : 673 - 680
  • [43] Use of whole-body diffusion-weighted magnetic resonance imaging for the diagnosis and therapeutic response of multiple myeloma
    Puskas Tamas
    Henits Imre
    ORVOSI HETILAP, 2014, 155 (31) : 1241 - 1245
  • [44] Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker
    Li, Yue
    Zhang, Huan
    Yue, Lei
    Fu, Caixia
    Grimm, Robert
    Li, Wenhua
    Guo, Weijian
    Tong, Tong
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 170
  • [45] Perspectives of in vivo magnetic resonance imaging of cell dynamics in the brain
    Farr, Tracy D.
    Hoehn, Mathias
    FUTURE NEUROLOGY, 2008, 3 (04) : 423 - 432
  • [46] Validation of Noninvasive Morphological and Diffusion Imaging in Mouse Emphysema by Micro-Computed Tomography and Hyperpolarized 129Xe Magnetic Resonance Imaging
    Tetsumoto, Satoshi
    Takeda, Yoshito
    Imai, Hirohiko
    Kimura, Atsuomi
    Jin, Yingji
    Nakanishi, Kaori
    Maeda, Yohei
    Kuhara, Hanako
    Tsujino, Kazuyuki
    Iwasaki, Takeo
    Shigeta, Hiroshi
    Kondo, Yasushi
    Ito, Mari
    Minami, Toshiyuki
    Hirata, Haruhiko
    Takahashi, Ryo
    Kohmo, Satoshi
    Nagatomo, Izumi
    Inoue, Koji
    Kida, Hiroshi
    Kijima, Takashi
    Tachibana, Isao
    Maeda, Norikazu
    Funahashi, Toru
    Shimomura, Iichiro
    Fujiwara, Hideaki
    Kumanogoh, Atsushi
    AMERICAN JOURNAL OF RESPIRATORY CELL AND MOLECULAR BIOLOGY, 2013, 49 (04) : 592 - 600
  • [47] Quick Brain Magnetic Resonance Imaging With Diffusion-Weighted Imaging as a First Imaging Modality in Pediatric
    Christy, Alison
    Murchison, Charles
    Wilson, Jenny L.
    PEDIATRIC NEUROLOGY, 2018, 78 : 55 - 60
  • [48] Localized diffusion magnetic resonance micro-imaging of the live mouse brain
    Wu, Dan
    Reisinger, Dominik
    Xu, Jiadi
    Fatemi, S. Ali
    van Zijl, Peter C. M.
    Mori, Susumu
    Zhang, Jiangyang
    NEUROIMAGE, 2014, 91 : 12 - 20
  • [49] Diffusion-weighted magnetic resonance imaging of the brain of neurologically normal dogs
    MacLellan, Megan. J.
    Ober, Christopher P.
    Feeney, Daniel A.
    Jessen, Carl. R.
    AMERICAN JOURNAL OF VETERINARY RESEARCH, 2017, 78 (05) : 601 - 608
  • [50] In vivo diffusion tensor magnetic resonance imaging and fiber tracking of the mouse brain
    Harsan, Laura-Adela
    Paul, Dominik
    Schnell, Susanne
    Kreher, Bjorn W.
    Hennig, Juergen
    Staiger, Jochen F.
    von Elverfeldt, Dominik
    NMR IN BIOMEDICINE, 2010, 23 (07) : 884 - 896