Acta Medica Okayama volume74 issue2
2020-04 発行

Association between Histological Types and Enhancement of Dynamic CT for Primary Lung Cancer

Fukuma, Shogo Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Shinya, Takayoshi Department of Radiology, Okayama University Hospital
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 Kaken ID
Ichihara, Eiki Department of Allergy and Respiratory Medicine, Okayama University Hospital Kaken ID
Hiraki, Takao Department of Radiology, Okayama University Hospital Kaken ID 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 researchmap
Kanazawa, Susumu Department of Radiology, Okayama University Hospital Kaken ID
Publication Date
2020-04
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.
Document Type
Original Article
Keywords
differentiation
dynamic computed tomography
primary lung cancer
enhancement pattern
Link to PubMed
Thumnail 74_2_129.pdf 2.43 MB