Literature DB >> 23473720

Diagnosis of regional node metastases in lung cancer with computer-aided 3D measurement of the volume and CT-attenuation values of lymph nodes.

Yoshiyuki Takahashi1, Shodayu Takashima, Tomoaki Hakucho, Chie Miyake, Daisuke Morimoto, Bing-hu Jiang, Hodaka Numasaki, Yasuhiko Tomita, Katsuyuki Nakanishi, Masahiko Higashiyama.   

Abstract

RATIONALE AND
OBJECTIVES: The aim of this study is to assess the usefulness of computer-aided three-dimensional (3D) measurement of volume and computed tomography (CT) attenuation values of nodes for diagnosing nodal metastases of lung cancer.
MATERIALS AND METHODS: We measured three diameters, their ratios, volume, and CT values in 3D images of 191 nodes (64 malignant; 162 of <1 cm in short diameter) in 26 consecutive patients who underwent contrast-enhanced, thin-section, multidetector row CT before surgery. We separately studied statistically significant factors in a group of all nodes and in another group of nodes of <1 cm in short diameter with logistic modeling and evaluated their diagnostic accuracy.
RESULTS: Significant factors were CT values (P < .001) and short diameter (P = .001) for the total node group, and CT values (P = .030) and 3D volume (P = .035) for the <1 cm node group. Optimal 83% accuracy was obtained with a criterion of short diameter of >7.4 mm and CT values of >103 Hounsfield unit (HU) for the total node group, whereas optimal 76% accuracy was obtained with a criterion of 3D volume of >1282 mm(3) or CT values of >103 HU for the <1 cm node group.
CONCLUSION: 3D measurement may be useful for diagnosing nodal metastases.
Copyright © 2013 AUR. All rights reserved.

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Year:  2013        PMID: 23473720     DOI: 10.1016/j.acra.2013.01.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  4 in total

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Review 2.  Modern diagnostic and therapeutic interventional radiology in lung cancer.

Authors:  Wai-Kit Lee; Eddie W F Lau; Kwang Chin; Oliver Sedlaczek; Karin Steinke
Journal:  J Thorac Dis       Date:  2013-10       Impact factor: 2.895

3.  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

4.  Comprehensive analysis of marker gene detection and computed tomography for the diagnosis of human lung cancer.

Authors:  Min Cheng; Xiaosong Sun; Guifeng Liu; Kailiang Cheng; Zhongwen Lv; Changjiang Sun; Dianhui Xiu; Lin Liu
Journal:  Oncol Lett       Date:  2018-07-25       Impact factor: 2.967

  4 in total

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