Literature DB >> 23242821

Advantages of diffusion-weighted imaging over positron emission tomography-computed tomography in assessment of hilar and mediastinal lymph node in lung cancer.

Katsuo Usuda1, Motoyasu Sagawa, Nozomu Motono, Masakatsu Ueno, Makoto Tanaka, Yuichiro Machida, Munetaka Matoba, Yasuaki Kuginuki, Mitsuru Taniguchi, Yoshimichi Ueda, Tsutomu Sakuma.   

Abstract

BACKGROUND: The significance of diffusion-weighted imaging (DWI) is uncertain for the diagnosis of nodal involvement. The purpose of this study was to examine diagnostic capability of DWI compared with PET-CT for nodal involvement of lung cancer.
METHODS: A total of 160 lung cancers (114 adenocarcinomas, 36 squamous cell carcinomas, and 10 other cell types) were analyzed in this study. DWI and PET-CT were performed preoperatively.
RESULTS: The optimal cutoff values to diagnose metastatic lymph nodes were 1.70 × 10(-3) mm(2)/s for ADC value and 4.45 for SUVmax. DWI correctly diagnosed N staging in 144 carcinomas (90 %) but incorrectly diagnosed N staging in 16 (10 %) [3 (1.9 %) had overstaging, 13 (8.1 %) had understaging]. PET-CT correctly diagnosed N staging in 133 carcinomas (83.1 %) but incorrectly diagnosed N staging in 27 (16.8 %) [4 (2.5 %) had overstaging, 23 (14.4 %) had understaging]. Sensitivity, accuracy, and negative predictive value for N staging by DWI were significantly higher than those by PET-CT. Of the 705 lymph node stations examined, 61 had metastases, and 644 did not. The maximum diameter of metastatic lesions in lymph nodes were 3.0 ± 0.9 mm in 21 lymph node stations not detected by either DWI or PET-CT: 7.2 ± 4.1 mm in 39 detected by DWI, and 11.9 ± 4.1 mm in 24 detected by PET-CT. There were significant differences among them. The sensitivity (63.9 %) for metastatic lymph node stations by DWI was significantly higher than that (39.3 %) by PET-CT. The accuracy (96.2 %) for all lymph node stations by DWI was significantly higher than that (94.3 %) by PET-CT.
CONCLUSIONS: DWI has advantages over PET-CT in diagnosing malignant from benign lymph nodes of lung cancers.

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Year:  2012        PMID: 23242821     DOI: 10.1245/s10434-012-2799-z

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  18 in total

1.  Diffusion-weighted imaging to differentiate metastatic from non-metastatic retropharyngeal lymph nodes in nasopharyngeal carcinoma.

Authors:  H Li; X-W Liu; Z-J Geng; D-L Wang; C-M Xie
Journal:  Dentomaxillofac Radiol       Date:  2014-11-28       Impact factor: 2.419

2.  [Radiological diagnostics in CUP syndrome].

Authors:  P M Kazmierczak; K Nikolaou; A Rominger; A Graser; M F Reiser; C C Cyran
Journal:  Radiologe       Date:  2014-02       Impact factor: 0.635

3.  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

4.  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

5.  Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis.

Authors:  Xiang-Chuang Kong; Ling-Yun Xiong; Emre Gazyakan; Holger Engel; Ulrich Kneser; Andreas K Nüssler; Christoph Hirche; Xiang-Quan Kong
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-08-08

Review 6.  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

Review 7.  Radiological staging in pregnant patients with cancer.

Authors:  Ramona Woitek; Daniela Prayer; Azadeh Hojreh; Thomas Helbich
Journal:  ESMO Open       Date:  2016-02-08

8.  Conventional MRI to detect the differences between mass-like tuberculosis and lung cancer.

Authors:  Li-Ping Qi; Ke-Neng Chen; Xiaohong Joe Zhou; Lei Tang; Yu-Liang Liu; Xiao-Ting Li; Juan Wang; Ying-Shi Sun
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

9.  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

10.  Incremental Value of Magnetic Resonance Imaging in Further Characterizing Hypodense Mediastinal and Paracardiac Lesions Identified on Computed Tomography.

Authors:  Abhishek Chaturvedi; Chris Gange; Hakan Sahin; Apeksha Chaturvedi
Journal:  J Clin Imaging Sci       Date:  2018-03-12
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