Literature DB >> 24786147

Diffusion-weighted imaging vs STIR turbo SE imaging: capability for quantitative differentiation of small-cell lung cancer from non-small-cell lung cancer.

H Koyama1, Y Ohno, M Nishio, D Takenaka, T Yoshikawa, S Matsumoto, S Seki, Y Maniwa, T Ito, Y Nishimura, K Sugimura.   

Abstract

OBJECTIVE: To compare the capability of differentiation of small-cell lung cancer (SCLC) from non-SCLC (NSCLC) between diffusion-weighted imaging (DWI) and short tau inversion recovery (STIR) turbo spin-echo imaging.
METHODS: The institutional review board of Kobe University Hospital, Kobe, Japan, approved this study, and written informed consent was obtained from each patient. 49 patients with NSCLC (30 males and 19 females; mean age, 66.8 years) and 7 patients with SCLC (5 males and 2 females; mean age, 68.6 years) enrolled and underwent DWI and STIR. To quantitatively differentiate SCLC from NSCLC, apparent diffusion coefficient (ADC) values on DWI and contrast ratios (CRs) between cancer and muscle on STIR were evaluated. ADC values and CRs were then compared between the two cell types by Mann-Whitney's U-tests, and the diagnostic performances were compared by McNemar's test.
RESULTS: There were significant differences of mean ADC values (p < 0.001) and mean CRs (p = 0.003). With adopted threshold values, the specificity (85.7%) and accuracy (85.7%) of DWI were higher than those of STIR (specificity, 63.3%; p = 0.001 and accuracy, 66.1%; p = 0.001). In addition, the accuracy of combination of both indexes (94.6%; p = 0.04) could significantly improve as compared with DWI alone.
CONCLUSION: DWI is more useful for the differentiation of SCLC from NSCLC than STIR, and their combination can significantly improve the accuracy in this setting. ADVANCES IN KNOWLEDGE: Pulmonary MRI, including DWI and STIR, had a potential of the suggestion of the possibility as SCLC.

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Year:  2014        PMID: 24786147      PMCID: PMC4075547          DOI: 10.1259/bjr.20130307

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  36 in total

1.  Quantitative and qualitative assessment of non-contrast-enhanced pulmonary MR imaging for management of pulmonary nodules in 161 subjects.

Authors:  Hisanobu Koyama; Yoshiharu Ohno; Atsushi Kono; Daisuke Takenaka; Yoshimasa Maniwa; Yoshihiro Nishimura; Chiho Ohbayashi; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2008-05-06       Impact factor: 5.315

2.  Comparison of STIR turbo SE imaging and diffusion-weighted imaging of the lung: capability for detection and subtype classification of pulmonary adenocarcinomas.

Authors:  Hisanobu Koyama; Yoshiharu Ohno; Nobukazu Aoyama; Yumiko Onishi; Keiko Matsumoto; Munenobu Nogami; Daisuke Takenaka; Wataru Nishio; Chiho Ohbayashi; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2009-09-18       Impact factor: 5.315

Review 3.  Magnetic resonance imaging for lung cancer.

Authors:  Hisanobu Koyama; Yoshiharu Ohno; Shinichiro Seki; Mizuho Nishio; Takeshi Yoshikawa; Sumiaki Matsumoto; Kazuro Sugimura
Journal:  J Thorac Imaging       Date:  2013-05       Impact factor: 3.000

4.  Meta-analysis of diffusion-weighted MRI in the differential diagnosis of lung lesions.

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5.  Lung carcinoma: diffusion-weighted mr imaging--preliminary evaluation with apparent diffusion coefficient.

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6.  History of limited resection for non-small cell lung cancer.

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7.  Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions.

Authors:  Haidong Liu; Ying Liu; Tielian Yu; Ning Ye
Journal:  Eur Radiol       Date:  2009-10-28       Impact factor: 5.315

8.  Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography.

Authors:  Takeshi Mori; Hiroaki Nomori; Koei Ikeda; Koichi Kawanaka; Shinya Shiraishi; Kazuhiro Katahira; Yasuyuki Yamashita
Journal:  J Thorac Oncol       Date:  2008-04       Impact factor: 15.609

Review 9.  Small cell lung cancer.

Authors:  Taimur Sher; Grace K Dy; Alex A Adjei
Journal:  Mayo Clin Proc       Date:  2008-03       Impact factor: 7.616

10.  Can malignant and benign pulmonary nodules be differentiated with diffusion-weighted MRI?

Authors:  Shiro Satoh; Yoshio Kitazume; Shinichi Ohdama; Yuji Kimula; Shinichi Taura; Yasuyuki Endo
Journal:  AJR Am J Roentgenol       Date:  2008-08       Impact factor: 3.959

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  5 in total

1.  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

Review 2.  Image-derived biomarkers and multimodal imaging strategies for lung cancer management.

Authors:  Alexander W Sauter; Nina Schwenzer; Mathew R Divine; Bernd J Pichler; Christina Pfannenberg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-09       Impact factor: 9.236

3.  Diffusion-weighted magnetic resonance imaging for the detection of metastatic lymph nodes in patients with lung cancer: A meta-analysis.

Authors:  Guang-Xiang Chen; Mao-Hua Wang; Ting Zheng; Guang-Cai Tang; Fu-Gang Han; Guo-Jian Tu
Journal:  Mol Clin Oncol       Date:  2017-02-06

4.  Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.

Authors:  Naoko Tsuchiya; Mariko Doai; Katsuo Usuda; Hidetaka Uramoto; Hisao Tonami
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

5.  Combination Assessment of Diffusion-Weighted Imaging and T2-Weighted Imaging Is Acceptable for the Differential Diagnosis of Lung Cancer from Benign Pulmonary Nodules and Masses.

Authors:  Katsuo Usuda; Masahito Ishikawa; Shun Iwai; Yoshihito Iijima; Nozomu Motono; Munetaka Matoba; Mariko Doai; Keiya Hirata; Hidetaka Uramoto
Journal:  Cancers (Basel)       Date:  2021-03-28       Impact factor: 6.639

  5 in total

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