Literature DB >> 12488755

Air-containing space in lung adenocarcinoma: high-resolution computed tomography findings.

Atsushi Nambu1, Kazuyuki Miyata, Katsura Ozawa, Masahisa Miyazawa, Yuuko Taguchi, Tsutomu Araki.   

Abstract

OBJECTIVE: To disclose imaging features of air-containing spaces other than air bronchograms in lung adenocarcinoma on high-resolution computed tomography (HRCT).
MATERIALS AND METHODS: We retrospectively reviewed HRCT scans of 42 consecutive patients with surgically proved lung adenocarcinoma correlating with pathologic specimens.
RESULTS: Air-containing spaces were seen in 17 (40%) of cases on HRCT. The air-containing spaces appeared as multiple air densities (16 cases [94%]) with variable shapes and had a relatively larger size than that of air bronchograms. Internal septi were often noted (11 cases [65%]).
CONCLUSION: Our results demonstrate that multiplicity, larger diameter, and internal septi are the features of air-containing spaces. These findings could be a key to the definitive diagnosis of lung adenocarcinoma, distinguishing it from the mimics such as organizing pneumonia, tuberculoma, or malignant lymphoma.

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Year:  2002        PMID: 12488755     DOI: 10.1097/00004728-200211000-00030

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  1 in total

1.  Artificial Intelligence-Aided Diagnosis Software to Identify Highly Suspicious Pulmonary Nodules.

Authors:  Jun Lv; Jianhui Li; Yanzhen Liu; Hong Zhang; Xiangfeng Luo; Min Ren; Yufan Gao; Yanhe Ma; Shuo Liang; Yapeng Yang; Zhenchun Song; Guangming Gao; Guozheng Gao; Yusheng Jiang; Ximing Li
Journal:  Front Oncol       Date:  2022-02-15       Impact factor: 6.244

  1 in total

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