Clin Imaging. 2013 Mar-Apr;37(2):265-72.

Diffusion-weighted imaging (DWI) signal intensity and distribution represent the amount of cancer cells and their distribution in primary lung cancer.

Usuda K, Zhao XT, Sagawa M, Aikawa H, Ueno M, Tanaka M, Machida Y, Matoba M, Ueda Y, Sakuma T.

Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan. usuda@kanazawa-med.ac.jp

 

ABSTRACT:

The aim of this study was to interpret diffusion-weighted imaging (DWI) signals in lung cancers. They were converted into several three-dimensional DWI signals patterns, which represent the degree of DWI signal intensity by height and the degree of distribution by area: flat, low elevation, irregular elevation, single-peak elevation, multiple-peak elevation, and nodular elevation. There were 39 adenocarcinomas and 21 squamous cell carcinomas. Three-dimensional DWI signals decreased significantly in order of cell differentiation. Tumor cellular densities were increased according to the increase in three-dimensional DWI signals. DWI signal intensity and distribution can represent the amount of cancer cells and their distribution in the carcinoma.

Copyright © 2013 Elsevier Inc.

PMID: 23465978

 

Supplements:

Katsuo Usuda-fig1Figure 1. Findings of Chest CT (upper left), diffusion-weighted imaging (DWI) (upper right) and 3D-DWI signal intensity and distribution pattern (lower) in each signal pattern.

 

Katsuo Usuda-fig2Figure 2.   Number of cancer cells per microphotograph based on 3D-DWI signal intensity and distribution pattern of lung cancer.

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