Usefulness of Perfusion CT in Progressive Massive Fibrosis.
10.3348/jkrs.2006.54.2.69
- Author:
Woocheol KWON
1
;
Young Han LEE
;
Myeong Sub LEE
;
Young Ju KIM
;
Ki Joon SUNG
;
Myung Soon KIM
;
Suk Joong YONG
;
Soon Hee JUNG
Author Information
1. Department of Radiology, Yonsei University Wonju College of Medicine, Wonju Christian Hospital, Korea. wckwon@wonju.yonsei.ac.kr
- Publication Type:Original Article
- Keywords:
Lung, CT;
Pneumoconiosis;
Perfusion
- MeSH:
Diagnosis;
Diagnosis, Differential;
Fibrosis*;
Humans;
Lung Neoplasms;
Perfusion*;
Pneumoconiosis;
Retrospective Studies
- From:Journal of the Korean Radiological Society
2006;54(2):69-77
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: We wanted to evaluate the usefulness of perfusion CT for the diagnosis of progressive massive fibrosis. MATERIALS AND METHODS: We retrospectively analyzed the perfusion CT images of 20 lesions that showed progressive massive fibrosis in 13 patients. Using 16 channel multi-detector CT, a dynamic study was performed with the multiple spiral acquisition technique at 0 (precontrast), 15, 30, 45, 60, 90, 120, 180, and 300 seconds after contrast injection. The perfusion image was reformatted using these source images; it was scored on the volume map and washout map by visual inspection and then compared with 20 lesions of lung cancer. RESULTS: The volume map showed either middle or low perfusion for 19 among the 20 lesions. The washout map also showed a weak or moderate washout pattern. The kappa values (>0.818) for the inter-reader agreement reached statistical significance (p<0.01). High perfusion on the volume map was seen in 1 case (5%) in the PMF group and in 19 cases (95%) in the lung cancer group. Intense washout on the washout map was seen in 1 case (5%) in the PMF group and in 14 cases (70%) in the lung cancer group. There was a significant difference between the two groups (x2=32.129, p<0.01). CONCLUSION: Perfusion CT consisting of the volume map and washout map can be a useful method for the differential diagnosis between PMF and lung cancer.
