DTI and PWI analysis of peri-enhancing tumoral brain tissue in patients treated for glioblastoma-Reference-Cited by-同舟云学术

DTI and PWI analysis of peri-enhancing tumoral brain tissue in patients treated for glioblastoma

Published:2010-07-25 Issue:2 Volume:102 Page:261-271
ISSN:0167-594X
Container-title:Journal of Neuro-Oncology
language:en
Short-container-title:J Neurooncol

Author:

Stecco Alessandro,Pisani Carla,Quarta Raffaella,Brambilla Marco,Masini Laura,Beldì Debora,Zizzari Sara,Fossaceca Rita,Krengli Marco,Carriero Alessandro

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Clinical Neurology,Neurology,Oncology

Link

http://link.springer.com/content/pdf/10.1007/s11060-010-0310-x.pdf

Reference25 articles.

1. Scarabino T, Popolizio T, Tosetti M, Montanaro D et al (2009) Phenylketonuria: white-matter changes assessed by 3.0-T magnetic resonance (MR) imaging, MR spectroscopy and MR diffusion. Radiol Med 114(3):461–474

2. Rizzo L, Crasto SG, Moruno PG et al (2009) Role of diffusion- and perfusion-weighted MR imaging for brain tumour characterisation. Radiol Med 114(4):645–659

3. Law M, Young RJ, Babb JS et al (2008) Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 247(2):490–498

4. Kealey SM, Kim Y, Provenzale JM (2004) Redefinition of multiple sclerosis plaque size using diffusion tensor. Am J Roentgenol 183(2):497–503

5. Lu S, Ahn D, Johnson G, Law M et al (2004) Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology 232(1):221–228

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors;Cancers;2024-01-30

2. Deep Learning of Time–Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma;American Journal of Neuroradiology;2023-04-27

3. Contrast enhancing pattern on pre-treatment MRI predicts response to anti-angiogenic treatment in recurrent glioblastoma: comparison of bevacizumab and temozolomide treatment;Journal of Neuro-Oncology;2022-03-11

4. The potential of advanced MR techniques for precision radiotherapy of glioblastoma;Magnetic Resonance Materials in Physics, Biology and Medicine;2022-02

5. Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI;Scientific Reports;2021-05-11