Literature DB >> 21471253

Diffusion-weighted magnetic resonance for pulmonary nodules: 1.5 vs. 3 Tesla.

Yasuomi Ohba1, Hiroaki Nomori, Takeshi Mori, Kenji Shiraishi, Tomohiro Namimoto, Kazuhiro Katahira.   

Abstract

The usefulness of diffusion-weighted magnetic resonance for assessing malignant pulmonary nodules was examined in 58 patients with 76 (58 malignant, 18 benign) pulmonary nodules (1.0-5.6 cm) who underwent 1.5-T and 3-Tesla imaging and (18)F-fluorodeoxyglucose positron-emission tomography prior to surgery. The sensitivities and specificities of these techniques for discriminating benign and malignant nodules were compared. The apparent diffusion coefficients of the pulmonary nodules on 1.5-T and 3-T imaging correlated significantly. The sensitivities and specificities for discriminating benign and malignant lesions were similar among the 3 imaging techniques: 1.5-T imaging, 0.91 and 0.90; 3-T imaging, 0.88 and 0.94; positron-emission tomography, 0.94 and 0.94. The apparent diffusion coefficient on 1.5-T imaging showed a significant reverse correlation with positron-emission tomography, and the correlation between 3-T imaging and positron-emission tomography was marginally significant. Both 1.5-T and 3-T diffusion-weighted magnetic resonance imaging modalities are equally useful for assessing malignant pulmonary nodules.

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Year:  2011        PMID: 21471253     DOI: 10.1177/0218492310385152

Source DB:  PubMed          Journal:  Asian Cardiovasc Thorac Ann        ISSN: 0218-4923


  8 in total

1.  Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging.

Authors:  Johan Coolen; Johan Vansteenkiste; Frederik De Keyzer; Herbert Decaluwé; Walter De Wever; Christophe Deroose; Christophe Dooms; Eric Verbeken; Paul De Leyn; Vincent Vandecaveye; Dirk Van Raemdonck; Kristiaan Nackaerts; Steven Dymarkowski; Johny Verschakelen
Journal:  Eur Radiol       Date:  2013-10-31       Impact factor: 5.315

2.  1.5 tesla magnetic resonance imaging scanners compared with 3.0 tesla magnetic resonance imaging scanners: systematic review of clinical effectiveness.

Authors:  R Wood; K Bassett; C Spry; L Tong
Journal:  CADTH Technol Overv       Date:  2012-06-01

Review 3.  Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines.

Authors:  Michael K Gould; Jessica Donington; William R Lynch; Peter J Mazzone; David E Midthun; David P Naidich; Renda Soylemez Wiener
Journal:  Chest       Date:  2013-05       Impact factor: 9.410

4.  Diagnostic performance of diffusion-weighted magnetic resonance imaging in pulmonary malignant lesions: a meta-analysis.

Authors:  Ning Chang; Xiao-Hui Wang; Long-Biao Cui; Hong Yin; Tao Jiang; Fu-Lin Chen; Li-Peng Liu; Jian Zhang
Journal:  Transl Lung Cancer Res       Date:  2019-12

5.  Management of Pulmonary Nodules by Community Pulmonologists: A Multicenter Observational Study.

Authors:  Nichole T Tanner; Jyoti Aggarwal; Michael K Gould; Paul Kearney; Gregory Diette; Anil Vachani; Kenneth C Fang; Gerard A Silvestri
Journal:  Chest       Date:  2015-12       Impact factor: 9.410

Review 6.  Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease.

Authors:  Shengming Deng; Zhifang Wu; Yiwei Wu; Wei Zhang; Jihui Li; Na Dai; Bin Zhang; Jianhua Yan
Journal:  Contrast Media Mol Imaging       Date:  2017-02-26       Impact factor: 3.161

Review 7.  Value of IVIM in Differential Diagnoses between Benign and Malignant Solitary Lung Nodules and Masses: A Meta-analysis.

Authors:  Yirong Chen; Qijia Han; Zhiwei Huang; Mo Lyu; Zhu Ai; Yuying Liang; Haowen Yan; Mengzhu Wang; Zhiming Xiang
Journal:  Front Surg       Date:  2022-06-01

Review 8.  MRI in prostate cancer.

Authors:  Mahyar Ghafoori; Manijeh Alavi; Mounes Aliyari Ghasabeh
Journal:  Iran Red Crescent Med J       Date:  2013-12-05       Impact factor: 0.611

  8 in total

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