Literature DB >> 19763578

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

Hisanobu Koyama1, Yoshiharu Ohno, Nobukazu Aoyama, Yumiko Onishi, Keiko Matsumoto, Munenobu Nogami, Daisuke Takenaka, Wataru Nishio, Chiho Ohbayashi, Kazuro Sugimura.   

Abstract

OBJECTIVE: The aim of the study was to evaluate the diagnostic performance of diffusion-weighted imaging (DWI) for detection and subtype classification in pulmonary adenocarcinomas through comparison with short TI inversion recovery turbo spin-echo imaging sequence (STIR).
METHODS: Thirty-two patients (mean age, 65.2 years) with 33 adenocarcinomas (mean diameter, 27.6 mm) were enrolled in this study. The detection rates of both sequences were compared. The ADC values on DWI and the contrast ratio (CR) between cancer and muscle on STIR were measured and those were compared across subtype classifications. Finally, ROC-based positive tests were performed to differentiate subtype classifications, and differentiation capabilities were compared.
RESULTS: The DWI detection rate [85% (28/33)] was significantly lower than that of STIR [100% (33/33), P < 0.05]. The ADC values showed no significant difference regarding subtype classification; however, the CRs of bronchio-alveolar carcinomas (BACs) were significantly lower than those of other types (P < 0.05). When threshold values for differentiating BACs from others were adapted, the sensitivity and accuracy of DWI were significantly lower than those of STIR (P < 0.05). For differentiating adenocarcinomas with mixed subtypes from those with no BA component, there were no significant differences between the two sequences.
CONCLUSION: STIR is more sensitive for detection and subtype classification than DWI.

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Year:  2009        PMID: 19763578     DOI: 10.1007/s00330-009-1615-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  33 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  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

Review 3.  Diffusion-weighted magnetic resonance imaging and its application to cancer.

Authors:  Elizabeth M Charles-Edwards; Nandita M deSouza
Journal:  Cancer Imaging       Date:  2006-09-13       Impact factor: 3.909

4.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

Review 5.  A review of 1H nuclear magnetic resonance relaxation in pathology: are T1 and T2 diagnostic?

Authors:  P A Bottomley; C J Hardy; R E Argersinger; G Allen-Moore
Journal:  Med Phys       Date:  1987 Jan-Feb       Impact factor: 4.071

6.  Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.

Authors:  J Wang; S Takashima; F Takayama; S Kawakami; A Saito; T Matsushita; M Momose; T Ishiyama
Journal:  Radiology       Date:  2001-09       Impact factor: 11.105

7.  Turbo STIR magnetic resonance imaging as a whole-body screening tool for metastases in patients with breast carcinoma: preliminary clinical experience.

Authors:  R Walker; P Kessar; R Blanchard; M Dimasi; K Harper; V DeCarvalho; E K Yucel; L Patriquin; S Eustace
Journal:  J Magn Reson Imaging       Date:  2000-04       Impact factor: 4.813

8.  Nuclear magnetic resonance for the differentiation of benign and malignant breast tissues and axillary lymph nodes.

Authors:  E T Fossel; G Brodsky; J L deLayre; R E Wilson
Journal:  Ann Surg       Date:  1983-10       Impact factor: 12.969

9.  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

10.  Metastases in mediastinal and hilar lymph nodes in patients with non-small cell lung cancer: quantitative and qualitative assessment with STIR turbo spin-echo MR imaging.

Authors:  Yoshiharu Ohno; Hiroto Hatabu; Daisuke Takenaka; Takanori Higashino; Hirokazu Watanabe; Chiho Ohbayashi; Masahiro Yoshimura; Miyako Satouchi; Yoshihiro Nishimura; Kazuro Sugimura
Journal:  Radiology       Date:  2004-06       Impact factor: 11.105

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  21 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

2.  From low-dose to no-dose: thin-section magnetic resonance imaging for evaluation of pulmonary nodules.

Authors:  Tommaso D'Angelo; Thomas J Vogl; Julian L Wichmann
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

3.  Evaluation of DWI and ADC Sequences' Diagnostic Values in Benign and Malignant Pulmonary Lesions.

Authors:  Masoud Mahdavi Rashed; Sirous Nekooei; Marzieh Nouri; Nahid Borji; Alireza Khadembashi
Journal:  Turk Thorac J       Date:  2020-11-01

Review 4.  [Role of MRI for detection and characterization of pulmonary nodules].

Authors:  G Sommer; M Koenigkam-Santos; J Biederer; M Puderbach
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

5.  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

6.  Lung MRI of invasive fungal infection at 3 Tesla: evaluation of five different pulse sequences and comparison with multidetector computed tomography (MDCT).

Authors:  Chenggong Yan; Xiangliang Tan; Qi Wei; Ru Feng; Caixia Li; Yuankui Wu; Peng Hao; Queenie Chan; Wei Xiong; Jun Xu; Yikai Xu
Journal:  Eur Radiol       Date:  2014-09-18       Impact factor: 5.315

Review 7.  Magnetic resonance imaging for lung cancer screen.

Authors:  Yi-Xiang J Wang; Gladys G Lo; Jing Yuan; Peder E Z Larson; Xiaoliang Zhang
Journal:  J Thorac Dis       Date:  2014-09       Impact factor: 2.895

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

Authors:  H Koyama; Y Ohno; M Nishio; D Takenaka; T Yoshikawa; S Matsumoto; S Seki; Y Maniwa; T Ito; Y Nishimura; K Sugimura
Journal:  Br J Radiol       Date:  2014-04-30       Impact factor: 3.039

Review 9.  Clinical PET-MR Imaging in Breast Cancer and Lung Cancer.

Authors:  Samuel L Rice; Kent P Friedman
Journal:  PET Clin       Date:  2016-10

Review 10.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

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