Literature DB >> 19091887

The effectiveness of 18F-FDG PET/CT combined with STIR MRI for diagnosing nodal involvement in the thorax.

Miwa Morikawa1, Yoshiki Demura, Takeshi Ishizaki, Shingo Ameshima, Isamu Miyamori, Masato Sasaki, Tatsuro Tsuchida, Hirohiko Kimura, Yasuhisa Fujibayashi, Hidehiko Okazawa.   

Abstract

UNLABELLED: The purpose of this study was to compare the efficacy of short-tau inversion-recovery (STIR) MRI and 18F-FDG PET/CT for the detection of metastasis in mediastinal and hilar lymph nodes in patients with lung cancer.
METHODS: Ninety-three patients with known or suspected lung cancer with mediastinal and hilar lymph node swelling underwent STIR MRI and 18F-FDG PET/CT examinations. STIR MRI scans were obtained with a 2% copper sulfate phantom placed along the back of each patient, with the lymph node-to-phantom ratio calculated for quantitative analysis. For qualitative analysis, the results of all STIR MRI scans were evaluated using a 5-point visual scoring system. To evaluate the diagnostic capabilities of STIR MRI and 18F-FDG PET/CT, we used receiver-operating-characteristic curve analysis to determine the optimal thresholds for the lymph node-to-phantom ratio, visual score, and maximal standardized uptake value. Further, the capability of each to determine N-stage was compared in each patient using the McNemar test.
RESULTS: A total of 137 lymph nodes (82 malignant lesions, 55 benign lesions) were analyzed. When optimal threshold values were adopted, the quantitative and qualitative sensitivity, specificity, and accuracy of STIR MRI were not significantly different from those of 18F-FDG PET/CT. However, 18F-FDG PET/CT in combination with qualitative STIR MRI analysis had a significantly higher capability to detect nodal involvement on an individual-patient basis (96.9% specificity, 90.3% accuracy) than did 18F-FDG PET/CT alone (65.6% specificity, 81.7% accuracy).
CONCLUSION: We found that the diagnostic capability of STIR MRI was not significantly different from that of 18F-FDG PET/CT. However, when those methods were combined, the diagnostic capability for N-staging was significantly improved.

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Year:  2008        PMID: 19091887     DOI: 10.2967/jnumed.108.056408

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  7 in total

1.  Magnetic resonance imaging for staging of non-small-cell lung cancer-technical advances and unmet needs.

Authors:  Gregor Sommer; Bram Stieltjes
Journal:  J Thorac Dis       Date:  2015-07       Impact factor: 2.895

2.  Molecular and functional imaging of invasion and metastasis: windows into the metastatic cascade.

Authors:  Ioannis Stasinopoulos; Marie-France Penet; Balaji Krishnamachary; Zaver M Bhujwalla
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

3.  Preoperative staging of non-small cell lung cancer: prospective comparison of PET/MR and PET/CT.

Authors:  Sang Min Lee; Jin Mo Goo; Chang Min Park; Soon Ho Yoon; Jin Chul Paeng; Gi Jeong Cheon; Young Tae Kim; Young Sik Park
Journal:  Eur Radiol       Date:  2016-02-16       Impact factor: 5.315

Review 4.  Magnetic resonance imaging for N staging in non-small cell lung cancer: A systematic review and meta-analysis.

Authors:  Yuanyuan Zhang; Qin Qin; Baosheng Li; Juan Wang; Kun Zhang
Journal:  Thorac Cancer       Date:  2015-01-08       Impact factor: 3.500

5.  Comparison of 18F-FDG PET/CT and DWI for detection of mediastinal nodal metastasis in non-small cell lung cancer: A meta-analysis.

Authors:  Guohua Shen; You Lan; Kan Zhang; Pengwei Ren; Zhiyun Jia
Journal:  PLoS One       Date:  2017-03-02       Impact factor: 3.240

Review 6.  State-of-the-art MR Imaging for Thoracic Diseases.

Authors:  Yumi Tanaka; Yoshiharu Ohno; Satomu Hanamatsu; Yuki Obama; Takahiro Ueda; Hirotaka Ikeda; Akiyoshi Iwase; Takashi Fukuba; Hidekazu Hattori; Kazuhiro Murayama; Takeshi Yoshikawa; Daisuke Takenaka; Hisanobu Koyama; Hiroshi Toyama
Journal:  Magn Reson Med Sci       Date:  2021-04-29       Impact factor: 2.760

7.  Magnetic resonance (MR) imaging for tumor staging and definition of tumor volumes on radiation treatment planning in nonsmall cell lung cancer: A prospective radiographic cohort study of single center clinical outcome.

Authors:  Dan Zhao; Qiaoqiao Hu; Liping Qi; Juan Wang; Hao Wu; Guangying Zhu; Huiming Yu
Journal:  Medicine (Baltimore)       Date:  2017-02       Impact factor: 1.817

  7 in total

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