Literature DB >> 21696559

Diffusion-weighted MR-imaging for the detection of pulmonary nodules at 1.5 Tesla: intraindividual comparison with multidetector computed tomography.

Marc Regier1, Dorothee Schwarz, Frank Oliver Henes, Michael Groth, Hendrik Kooijman, Philipp Gc Begemann, Gerhard Adam.   

Abstract

INTRODUCTION: To investigate the feasibility of diffusion-weighted imaging (DWI) MRI for detecting pulmonary nodules at 1.5 Tesla in comparison with standard multidetector computed tomography (MDCT).
METHODS: Twenty patients with disseminated cancer disease in which MDCT had assured the presence of at least one pulmonary nodule were examined using a respiratory-gated DWI MR-sequence. Grey scale inverted source images and coronal maximum intensity projection (MIP) images were consensually analysed by two experienced radiologists. Size and location of any nodule detected were assessed. Additionally, the readers evaluated each hemithorax for the presence of at least one nodule and applied a four-point conspicuity scale (1-hemithorax definitely affected; 4-hemithorax definitely not affected). MDCT data served as reference.
RESULTS: At MDCT, a total of 71 pulmonary noduIes was found (size 3-5mm, n=16; 6-9mm, n=22; ≥10mm, n=33). For the DWI MR-sequence, a sensitivity of 86.4% was calculated for nodules ranging 6-9mm and 97% for nodules ≥10mm. In contrast, only 43.8% of lesions ≤5mm was detected. The separate analysis of each hemithorax for the presence of at least one pulmonary nodule revealed a specificity rate, PPV and NPV of DWI-MR of 92.3%, 96% and 80%, respectively.
CONCLUSIONS: The presented study is the first to confirm the diagnostic potential of DWI-MR in the detection of solid lung nodules. This technique allows for the detection of nodules ≥6mm with reasonably high sensitivity rates (>86%). The observation of false positive findings decreases the accuracy of this approach compared with MDCT.
© 2011 The Authors. Journal of Medical Imaging and Radiation Oncology © 2011 The Royal Australian and New Zealand College of Radiologists.

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Mesh:

Year:  2011        PMID: 21696559     DOI: 10.1111/j.1754-9485.2011.02263.x

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  20 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.  [Radiological evaluation of incidental pulmonary nodules].

Authors:  H Prosch; C Schaefer-Prokop
Journal:  Radiologe       Date:  2013-07       Impact factor: 0.635

3.  Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis.

Authors:  Guohua Shen; Zhiyun Jia; Houfu Deng
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

4.  Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?

Authors:  Qi Wan; Ying-Shi Deng; Qiang Lei; Ying-Ying Bao; Yu-Ze Wang; Jia-Xuan Zhou; Qiao Zou; Xin-Chun Li
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

5.  Detection of Small Pulmonary Nodules with Ultrashort Echo Time Sequences in Oncology Patients by Using a PET/MR System.

Authors:  Nicholas S Burris; Kevin M Johnson; Peder E Z Larson; Michael D Hope; Scott K Nagle; Spencer C Behr; Thomas A Hope
Journal:  Radiology       Date:  2015-07-02       Impact factor: 11.105

6.  Potentially relevant incidental findings on research whole-body MRI in the general adult population: frequencies and management.

Authors:  Katrin Hegenscheid; Rebecca Seipel; Carsten O Schmidt; Henry Völzke; Jens-Peter Kühn; Reiner Biffar; Heyo K Kroemer; Norbert Hosten; Ralf Puls
Journal:  Eur Radiol       Date:  2012-08-22       Impact factor: 5.315

7.  Diffusion-weighted magnetic resonance imaging for assessment of lung lesions: repeatability of the apparent diffusion coefficient measurement.

Authors:  L Bernardin; N H M Douglas; D J Collins; S L Giles; E A M O'Flynn; M Orton; N M deSouza
Journal:  Eur Radiol       Date:  2013-11-26       Impact factor: 5.315

8.  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

9.  The Value of PETRA in Pulmonary Nodules of <3 cm Among Patients With Lung Cancer.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Yu Du; Ning Zhang; Yaning Wang
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

10.  MRI of the lung (2/3). Why … when … how?

Authors:  J Biederer; M Beer; W Hirsch; J Wild; M Fabel; M Puderbach; E J R Van Beek
Journal:  Insights Imaging       Date:  2012-02-13
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