Acta Medica Okayama volume74 issue2
2020-04 発行
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
Ichihara, Eiki
Department of Allergy and Respiratory Medicine, Okayama University Hospital
Kaken ID
publons
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
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.
differentiation
dynamic computed tomography
primary lung cancer
enhancement pattern