Literature DB >> 8109520

MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences.

R D Tien1, G J Felsberg, H Friedman, M Brown, J MacFall.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the usefulness of diffusion-weighted echoplanar MR imaging in the examination of high-grade brain gliomas compared with that of conventional spin-echo (SE) or fast spin-echo (FSE) MR imaging. We hypothesize that diffusion-weighted MR imaging may enable us to differentiate various tumor components on the basis of differences in the diffusion of water. SUBJECTS AND METHODS: Conventional SE and FSE MR images were obtained in 10 patients with high-grade brain glioma. Diffusion-weighted echoplanar MR images were obtained with a head gradient coil capable of providing diffusion-weighted imaging along the cephalocaudal axis. Using SE and FSE MR images as a baseline, we evaluated the diffusion-weighted MR images for usefulness in distinguishing tumor components on the basis of differences in diffusion.
RESULTS: Areas of tumor that showed significant enhancement on T1-weighted SE MR images obtained after injection of contrast material were markedly hyperintense on diffusion-weighted images and had a lower apparent diffusion coefficient (ADC) than the ADCs for nonenhancing tumor and peritumoral edema. Cystic or necrotic portions of tumor showed the most signal suppression on diffusion-weighted images and were associated with the highest ADCs. On T2-weighted FSE MR images, areas of hyperintensity observed in white matter oriented parallel to the direction of the diffusion gradient could be differentiated into two patterns on the basis of findings on diffusion-weighted images: areas that showed marked signal suppression with a higher ADC, most likely representing areas of predominantly peritumoral edema, and areas that showed a lesser degree of signal suppression with similar but slightly lower ADCs than those of edema, most likely representing areas of predominantly nonenhancing tumor.
CONCLUSION: Diffusion-weighted echoplanar MR imaging is a useful technique for examining high-grade cerebral gliomas. It enabled us to differentiate various components of the tumor (e.g., enhancing, nonenhancing, cystic, or necrotic) and to distinguish areas of predominantly nonenhancing tumor from areas of predominantly peritumoral edema when the abnormality was located in the white matter aligned in the direction of the diffusion-weighted gradient. Diffusion-weighted echoplanar MR imaging appears to be a powerful tool in the characterization of brain neoplasms.

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Year:  1994        PMID: 8109520     DOI: 10.2214/ajr.162.3.8109520

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  78 in total

1.  Is there a role for diffusion-weighted imaging in patients with brain tumors or is the "bloom off the rose"?

Authors:  R D Zimmerman
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

2.  [Brain abscesses in diffusion-weighted imaging (DWI)--comparison to cystic brain tumors].

Authors:  R Tomczak; A Wunderlich; J Görich; H-J Brambs; N Rilinger
Journal:  Radiologe       Date:  2003-06-24       Impact factor: 0.635

3.  Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings.

Authors:  I Chan Chiang; Yu-Ting Kuo; Chia-Ying Lu; Kwok-Wan Yeung; Wei-Chen Lin; Feng-O Sheu; Gin-Chung Liu
Journal:  Neuroradiology       Date:  2004-07-09       Impact factor: 2.804

Review 4.  Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging.

Authors:  Rajan Jain; Jayant Narang; Pia M Sundgren; David Hearshen; Sona Saksena; Jack P Rock; Jorge Gutierrez; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2010-02-24       Impact factor: 4.130

5.  Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Giuseppe M Giannatempo; Teresa Popolizio; Domenico Catapano; Simona Bonavita; Nicola Maggialetti; Michela Tosetti; Ugo Salvolini; Vincenzo A d'Angelo; Giocchino Tedeschi
Journal:  Neuroradiology       Date:  2006-06-03       Impact factor: 2.804

6.  MR Imaging-Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status.

Authors:  K Yamashita; A Hiwatashi; O Togao; K Kikuchi; R Hatae; K Yoshimoto; M Mizoguchi; S O Suzuki; T Yoshiura; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-24       Impact factor: 3.825

7.  A pituitary abscess showing high signal intensity on diffusion-weighted imaging.

Authors:  Takeshi Takayasu; Fumiyuki Yamasaki; Atsushi Tominaga; Toshikazu Hidaka; Kazunori Arita; Kaoru Kurisu
Journal:  Neurosurg Rev       Date:  2006-04-14       Impact factor: 3.042

8.  Diffusion-weighted MRI derived apparent diffusion coefficient identifies prognostically distinct subgroups of pediatric diffuse intrinsic pontine glioma.

Authors:  Robert M Lober; Yoon-Jae Cho; Yujie Tang; Patrick D Barnes; Michael S Edwards; Hannes Vogel; Paul G Fisher; Michelle Monje; Kristen W Yeom
Journal:  J Neurooncol       Date:  2014-02-13       Impact factor: 4.130

9.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

10.  Relationship between choline and apparent diffusion coefficient in patients with gliomas.

Authors:  Inas S Khayal; Forrest W Crawford; Suja Saraswathy; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Tracy R McKnight; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

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