Literature DB >> 3028112

MR imaging: possibility of tissue characterization of brain tumors using T1 and T2 values.

M Komiyama, H Yagura, M Baba, T Yasui, A Hakuba, S Nishimura, Y Inoue.   

Abstract

To evaluate the usefulness of T1 and T2 values for tissue characterization of brain tumors, 37 histologically confirmed brain tumors were examined with a 0.5-T superconductive MR system. With spin-echo and inversion-recovery imaging sequences, computed T1 and T2 images were reconstructed, and T1 and T2 values of the tumors were calculated. Relaxation rates (1/T1 and 1/T2), T1/T2 ratios, and malignancy indexes, which were originally designed for gastrointestinal tumors, were also calculated. Values of all these parameters were so wide-ranged that it was impossible to characterize the tumor tissue types.

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Mesh:

Year:  1987        PMID: 3028112      PMCID: PMC8334042     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  26 in total

1.  Towards quantitative measurements of relaxation times and other parameters in the brain.

Authors:  P S Tofts; E P du Boulay
Journal:  Neuroradiology       Date:  1990       Impact factor: 2.804

Review 2.  Quantitative MR Imaging of Brain Tissue and Brain Pathologies.

Authors:  E Hattingen; A Jurcoane; M Nelles; A Müller; U Nöth; B Mädler; P Mürtz; R Deichmann; H H Schild
Journal:  Clin Neuroradiol       Date:  2015-07-30       Impact factor: 3.649

3.  Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI.

Authors:  Benjamin M Ellingson; Albert Lai; Huytram N Nguyen; Phioanh L Nghiemphu; Whitney B Pope; Timothy F Cloughesy
Journal:  Clin Cancer Res       Date:  2015-04-21       Impact factor: 12.531

4.  Preclinical MR fingerprinting (MRF) at 7 T: effective quantitative imaging for rodent disease models.

Authors:  Ying Gao; Yong Chen; Dan Ma; Yun Jiang; Kelsey A Herrmann; Jason A Vincent; Katherine M Dell; Mitchell L Drumm; Susann M Brady-Kalnay; Mark A Griswold; Chris A Flask; Lan Lu
Journal:  NMR Biomed       Date:  2015-02-02       Impact factor: 4.044

Review 5.  MR imaging of cerebral tumors: state of the art and work in progress.

Authors:  H P Higer; P Pedrosa; M Schuth
Journal:  Neurosurg Rev       Date:  1989       Impact factor: 3.042

6.  Evaluation of MRI score in the differentiation between glioblastoma multiforme and metastatic adenocarcinoma of the brain.

Authors:  S Asari; T Makabe; S Katayama; T Itoh; S Tsuchida; K Kunishio; T Ohmoto
Journal:  Acta Neurochir (Wien)       Date:  1993       Impact factor: 2.216

7.  Tissue characterisation of intracranial tumours: the value of magnetisation transfer and conventional MRI.

Authors:  T Kurki; N Lundbom; S Valtonen
Journal:  Neuroradiology       Date:  1995-10       Impact factor: 2.804

Review 8.  Magnetic resonance imaging of the brain and spine.

Authors:  D M Hadley; G M Teasdale
Journal:  J Neurol       Date:  1988-03       Impact factor: 4.849

9.  Magnetic resonance imaging and histopathology of cerebral gliomas.

Authors:  M Watanabe; R Tanaka; N Takeda
Journal:  Neuroradiology       Date:  1992       Impact factor: 2.804

10.  Intracranial and spinal ependymomas: review of MR images in 61 patients.

Authors:  Ja-Young Choi; Kee-Hyun Chang; In Kyu Yu; Keon Ha Kim; Bae Joo Kwon; Moon Hee Han; In-One Kim
Journal:  Korean J Radiol       Date:  2002 Oct-Dec       Impact factor: 3.500

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