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Author
Fukuma, Shogo Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Shinya, Takayoshi Department of Radiology, Okayama University Hospital ORCID researchmap
Soh, Junichi Department of General Thoracic Surgery, Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID researchmap
Fukuhara, Ryuichiro Department of Pediatric Radiology, Okayama University Hospital
Ogawa, Nanako Department of Radiology, Okayama University Hospital
Higaki, Fumiyo Department of Radiology, Okayama City General Medical Center
Tanaka, Takehiro Department of Pathology, Okayama University Hospital ORCID Kaken ID publons
Ichihara, Eiki Department of Allergy and Respiratory Medicine, Okayama University Hospital Kaken ID publons
Hiraki, Takao Department of Radiology, Okayama University Hospital Kaken ID publons researchmap
Toyooka, Shinichi Department of General Thoracic Surgery, Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Kanazawa, Susumu Department of Radiology, Okayama University Hospital Kaken ID publons
Abstract
The aim of this study was to explore enhancement patterns of different types of primary lung cancers on 2-phase dynamic computed tomography (CT). This study included 217 primary lung cancer patients (141 adenocarcinomas [ADs], 48 squamous cell carcinomas [SCCs], 20 small cell lung carcinomas [SCLCs], and 8 others) who were examined using a 2-phase dynamic scan. Regions of interest were identified and mean enhancement values were calculated. After excluding the 20 SCLCs because these lesions had different clinical stages from the other cancer types, the mean attenuation values and subtractions between phases were compared between types of non-small cell lung carcinomas (NSCLCs) using the Kruskal–Wallis test. Late phase attenuation and attenuation of the late minus unenhanced phase (LMU) of SCCs were significantly higher than those of ADs (p<0.05). To differentiate SCC and AD in the late phase, a threshold of 80.21 Hounsfield units (HU) gave 52.9% accuracy. In LMU, a threshold of 52.16 HU gave 59.3% accuracy. Dynamic lung CT has the potential to aid in differentiating among NSCLC types.
Keywords
differentiation
dynamic computed tomography
primary lung cancer
enhancement pattern
Amo Type
Original Article
Publication Title
Acta Medica Okayama
Published Date
2020-04
Volume
volume74
Issue
issue2
Publisher
Okayama University Medical School
Start Page
129
End Page
135
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
English
Copyright Holders
CopyrightⒸ 2020 by Okayama University Medical School
File Version
publisher
Refereed
True
PubMed ID
Web of Science KeyUT
NAID