Literature DB >> 25972370

Use of diffusion-weighted magnetic resonance imaging to distinguish between lung cancer and focal inflammatory lesions: a comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient.

Yu Deng1,2,3, Xinchun Li3, Yongxia Lei3, Changhong Liang2, Zaiyi Liu2.   

Abstract

Background Using imaging techniques to diagnose malignant and inflammatory lesions in the lung can be challenging. Purpose To compare intravoxel incoherent motion (IVIM) and apparent diffusion coefficient (ADC) magnetic resonance imaging (MRI) analysis in their ability to discriminate lung cancer from focal inflammatory lung lesions. Material and Methods Thirty-eight patients with lung masses were included: 30 lung cancers and eight inflammatory lesions. Patients were imaged with 3.0T MRI diffusion weighted imaging (DWI) using 10 b values (range, 0-1000 s/mm2). Tissue diffusivity ( D), pseudo-diffusion coefficient ( D*), and perfusion fraction ( f) were calculated using segmented biexponential analysis. ADC (total) was calculated with monoexponential fitting of the DWI data. D, D*, f, and ADC were compared between lung cancer and inflammatory lung lesions. Receiver operating characteristic analysis was performed for all DWI parameters. Results The ADC was significantly higher for inflammatory lesions than for lung cancer ([1.21 ± 0.20] × 10-3 mm2/s vs. [0.97 ± 0.15] × 10-3 mm2/s; P = 0.004). By IVIM, f was found to be significantly higher in inflammatory lesions than lung cancer ([46.10 ± 12.92] % vs. [29.29 ± 10.89] %; P = 0.005). There was no difference in D and D* between lung cancer and inflammatory lesions ( P = 0.747 and 0.124, respectively). f showed comparable diagnostic performance with ADC in differentiating lung cancer from inflammatory lung lesions, with areas under the curve of 0.833 and 0.826, sensitivity 80.0% and 73.3%, and specificity 75.0% and 87.5%, respectively. Conclusion The IVIM parameter f value provides comparable diagnostic performance with ADC and could be used as a surrogate marker for differentiating lung cancer from inflammatory lesions.

Entities:  

Keywords:  Intravoxel incoherent motion (IVIM); diffusion magnetic resonance imaging; inflammation; lung neoplasms

Mesh:

Year:  2016        PMID: 25972370     DOI: 10.1177/0284185115586091

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  19 in total

1.  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

2.  Use of intravoxel incoherent motion diffusion-weighted MR imaging for assessment of treatment response to invasive fungal infection in the lung.

Authors:  Chenggong Yan; Jun Xu; Wei Xiong; Qi Wei; Ru Feng; Yuankui Wu; Qifa Liu; Caixia Li; Queenie Chan; Yikai Xu
Journal:  Eur Radiol       Date:  2016-05-14       Impact factor: 5.315

3.  Lung cancer screening with MRI: results of the first screening round.

Authors:  Michael Meier-Schroers; Rami Homsi; Dirk Skowasch; Jens Buermann; Matthias Zipfel; Hans Heinz Schild; Daniel Thomas
Journal:  J Cancer Res Clin Oncol       Date:  2017-09-20       Impact factor: 4.553

4.  Discrimination of Malignant versus Benign Mediastinal Lymph Nodes Using Diffusion MRI with an IVIM Model.

Authors:  Li-Ping Qi; Wan-Pu Yan; Ke-Neng Chen; Zheng Zhong; Xiao-Ting Li; Kejia Cai; Ying-Shi Sun; Xiaohong Joe Zhou
Journal:  Eur Radiol       Date:  2017-09-19       Impact factor: 5.315

5.  Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia.

Authors:  Ma Luo; Ling Zhang; Xin Hua Jiang; Wei Dong Zhang
Journal:  Diagn Interv Radiol       Date:  2017 Jul-Aug       Impact factor: 2.630

6.  Optimization of intravoxel incoherent motion (IVIM): variability of parameters measurements using a reduced distribution of b values for breast tumors analysis.

Authors:  Natacha Raissa Doudou; Yajie Liu; Sylvanus Kampo; Kai Zhang; Yue Dai; Shaowu Wang
Journal:  MAGMA       Date:  2019-09-30       Impact factor: 2.310

7.  Diffusion-weighted MRI for differentiation between sialadenitis and pleomorphic adenoma.

Authors:  Guilherme T C Terra; Jefferson X D Oliveira; Adalsa Hernandez; Silvia V Lourenço; Emiko S Arita; Arthur R G Cortes
Journal:  Dentomaxillofac Radiol       Date:  2016-11-15       Impact factor: 2.419

8.  Diffusion weighted imaging in cystic fibrosis disease: beyond morphological imaging.

Authors:  Pierluigi Ciet; Goffredo Serra; Eleni Rosalina Andrinopoulou; Silvia Bertolo; Mirco Ros; Carlo Catalano; Stefano Colagrande; Harm A W M Tiddens; Giovanni Morana
Journal:  Eur Radiol       Date:  2016-02-12       Impact factor: 5.315

9.  Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival.

Authors:  Mei Yuan; Yu-Dong Zhang; Xue-Hui Pu; Yan Zhong; Hai Li; Jiang-Fen Wu; Tong-Fu Yu
Journal:  Eur Radiol       Date:  2017-05-18       Impact factor: 5.315

Review 10.  Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis.

Authors:  LuShun Zhang; LongLin Yin; MeiLin Zhu; ChuanDe Zhang; JingXin Yan; Ju Sun; XinYi Zhao
Journal:  Eur Radiol       Date:  2021-04-13       Impact factor: 5.315

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