Literature DB >> 26434850

Diagnostic Performance of Diffusion-Weighted Imaging for Multiple Hilar and Mediastinal Lymph Nodes with FDG Accumulation.

Katsuo Usuda1, Sumiko Maeda, Nozomu Motono, Masakatsu Ueno, Makoto Tanaka, Yuichiro Machida, Munetaka Matoba, Naoto Watanabe, Hisao Tonami, Yoshimichi Ueda, Motoyasu Sagawa.   

Abstract

BACKGROUND: It is sometimes difficult to assess patients who have multiple hilar and mediastinal lymph nodes (MHMLN) with FDG accumulation in PET-CT. Since it is uncertain whether diffusion-weighted magnetic resonance imaging (DWI) is useful in the assessment of such patients, its diagnostic performance was assessed.
MATERIALS AND METHODS: Twenty-three patients who had three or more stations of hilar and mediastinal lymph nodes with SUVmax of 3 or more in PET-CT were included in this study.
RESULTS: For diagnosis of disease, there were 20 malignancies (lung cancers 17, malignant lymphomas 2 and metastatic lung tumor 1), and 3 benign cases (sarcoidosis 2 and benign disease 1). For diagnosis of lymph nodes, there were 7 malignancies (metastasis of lung cancer 7 and malignant lymphoma 1) and 16 benign lymphadenopathies (pneumoconiosis/silicosis 7, sarcoidosis 4, benign disease 4, and atypical lymphocyte infiltration 1). The ADC value (1.57±0.29x10(-3) mm2/sec) of malignant MHMLN was significantly lower than that (1.99±0.24x10(-3) mm2/sec) of benign MHMLN (P=0.0437). However, the SUVmax was not significantly higher (10.0±7.34 as compared to 6.38±4.31) (P=0.15). The sensitivity (86%) by PET-CT was not significantly higher than that (71%) by DWI for malignant MHMLN (P=1.0). The specificity (100%) by DWI was significantly higher than that (31%) for benign MHMLN (P=0.0098). Furthermore, the accuracy (91%) with DWI was significantly higher than that (48%) with PET-CT for MHMLN (P=0.0129).
CONCLUSIONS: Evaluation by DWI for patients with MHMLN with FDG accumulation is useful for distinguishing benign from malignant conditions.

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Year:  2015        PMID: 26434850     DOI: 10.7314/apjcp.2015.16.15.6401

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  6 in total

1.  Benign and malignant enlarged chest nodes staging by diffusion-weighted MRI: an alternative to mediastinoscopy?

Authors:  Monica Sigovan; Pia Akl; Caroline Mesmann; Francois Tronc; Salim Si-Mohamed; Philippe Douek; Loic Boussel
Journal:  Br J Radiol       Date:  2017-12-18       Impact factor: 3.039

Review 2.  Economic Benefits and Diagnostic Quality of Diffusion-Weighted Magnetic Resonance Imaging for Primary Lung Cancer.

Authors:  Katsuo Usuda; Aika Funazaki; Ryo Maeda; Atsushi Sekimura; Nozomu Motono; Munetaka Matoba; Hidetaka Uramoto
Journal:  Ann Thorac Cardiovasc Surg       Date:  2017-10-04       Impact factor: 1.520

3.  Diffusion-weighted whole-body imaging with background suppression (DWIBS) is effective and economical for detection of metastasis or recurrence of lung cancer.

Authors:  Katsuo Usuda; Shun Iwai; Aika Yamagata; Yoshihito Iijima; Nozomu Motono; Munetaka Matoba; Mariko Doai; Sohsuke Yamada; Yoshimichi Ueda; Keiya Hirata; Hidetaka Uramoto
Journal:  Thorac Cancer       Date:  2021-01-21       Impact factor: 3.500

4.  Diffusion-weighted magnetic resonance imaging for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.

Authors:  Francisco de Souza Santos; Nupur Verma; Guilherme Watte; Edson Marchiori; Tan-Lucien H Mohammed; Tássia Machado Medeiros; Bruno Hochhegger
Journal:  Radiol Bras       Date:  2021 Jul-Aug

Review 5.  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

6.  Diagnostic Value of Magnetic Resonance Diffusion-Weighted Imaging Combined with Routine Scanning in Body Tumors.

Authors:  Zhongwei Li; Di Wang; Jinfeng Sun; Guowei Zhang; Jiashou Hu
Journal:  Contrast Media Mol Imaging       Date:  2022-07-21       Impact factor: 3.009

  6 in total

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