Literature DB >> 12131474

Diffusion-weighted magnetic resonance imaging.

Suresh K Mukherji1, Thomas L Chenevert, Mauricio Castillo.   

Abstract

Diffusion-weighted magnetic resonance imaging is a specialized technique that measures the degree of diffusion of water molecules within extracellular space and between intracellular and extracellular space. Diffusion-weighted imaging signal is high (bright) when diffusion is restricted, as occurs in cytotoxic damage from ischemia, inflammation, trauma, or tumor. This technique, now available on most magnetic resonance imaging units, is especially helpful in detecting early ischemic stroke and multiple sclerosis and in differentiating arachnoid cyst from epidermoid tumor and brain abscess from neoplasm.

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Year:  2002        PMID: 12131474     DOI: 10.1097/00041327-200206000-00013

Source DB:  PubMed          Journal:  J Neuroophthalmol        ISSN: 1070-8022            Impact factor:   3.042


  12 in total

1.  Diagnostic performance of diffusion-weighted magnetic resonance imaging in bladder cancer: potential utility of apparent diffusion coefficient values as a biomarker to predict clinical aggressiveness.

Authors:  Shuichiro Kobayashi; Fumitaka Koga; Soichiro Yoshida; Hitoshi Masuda; Chikako Ishii; Hiroshi Tanaka; Yoshinobu Komai; Minato Yokoyama; Kazutaka Saito; Yasuhisa Fujii; Satoru Kawakami; Kazunori Kihara
Journal:  Eur Radiol       Date:  2011-06-18       Impact factor: 5.315

2.  Postoperative transient reduced diffusion in the ipsilateral striatum and thalamus.

Authors:  K Kamiya; N Sato; Y Nakata; K Ito; Y Kimura; M Ota; A Takahashi; H Mori; A Kunimatsu; K Ohtomo
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-16       Impact factor: 3.825

3.  Diffusion-weighted MRI in the differential diagnosis of uterine endometrial cavity tumors.

Authors:  Omer Karakas; Ekrem Karakas; Ferit Dogan; Nihat Kilicaslan; Aysun Camuzcuoglu; Adnan Incebiyik; Hakan Camuzcuoglu
Journal:  Wien Klin Wochenschr       Date:  2015-02-24       Impact factor: 1.704

Review 4.  Magnetic resonance imaging: a potential tool in assessing the addition of hyperthermia to neoadjuvant therapy in patients with locally advanced breast cancer.

Authors:  Oana I Craciunescu; Donald E Thrall; Zeljko Vujaskovic; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

5.  Diffusion-weighted MR imaging abnormalities in pediatric patients with surgically-treated intracranial mass lesions.

Authors:  Justin S Smith; Henry Lin; Mary Catherine Mayo; Anuradha Bannerjee; Nalin Gupta; Victor Perry; Soonmee Cha
Journal:  J Neurooncol       Date:  2006-04-06       Impact factor: 4.130

6.  MR imaging features of acute mastoiditis and their clinical relevance.

Authors:  R Saat; A H Laulajainen-Hongisto; G Mahmood; L J Lempinen; A A Aarnisalo; A T Markkola; J P Jero
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-16       Impact factor: 3.825

7.  Apparent diffusion coefficient mapping of the normal parotid gland and parotid involvement in patients with systemic connective tissue disorders.

Authors:  Rahul R Patel; Ruth C Carlos; Mehran Midia; Suresh K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2004-01       Impact factor: 3.825

8.  Diffusion-weighted imaging characteristics of biopsy-proven demyelinating brain lesions.

Authors:  N Abou Zeid; I Pirko; B Erickson; S D Weigand; K M Thomsen; B Scheithauer; J E Parisi; C Giannini; L Linbo; C F Lucchinetti
Journal:  Neurology       Date:  2012-05-09       Impact factor: 9.910

9.  Diagnostic Significance of Diffusion-Weighted MRI in Renal Cancer.

Authors:  Yu Lei; Hong Wang; Hai-Feng Li; Yan-Wei Rao; Jing-Hong Liu; Shi-Feng Tian; Ye Ju; Ye Li; An-Liang Chen; Li-Hua Chen; Ai-Lian Liu; Ming-Li Sun
Journal:  Biomed Res Int       Date:  2015-04-30       Impact factor: 3.411

10.  Magnetic resonance imaging characteristics of ischemic brain infarction over time in a canine stroke model.

Authors:  Sooyoung Choi; Daji Noh; Youngwhan Kim; Inseong Jeong; Hojung Choi; Youngwon Lee; Kija Lee
Journal:  J Vet Sci       Date:  2018-01-31       Impact factor: 1.672

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