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학술저널
저자정보
Usuda, Katsuo (Department of Thoracic Surgery, Kanazawa Medical University) Sagawa, Motoyasu (Department of Thoracic Surgery, Kanazawa Medical University) Maeda, Sumiko (Department of Thoracic Surgery, Kanazawa Medical University) Motono, Nozomu (Department of Thoracic Surgery, Kanazawa Medical University) Tanaka, Makoto (Department of Thoracic Surgery, Kanazawa Medical University) Machida, Yuichiro (Department of Thoracic Surgery, Kanazawa Medical University) Matoba, Takuma Matsui Munetaka (Department of Radiology, Kanazawa Medical University) Watanabe, Naoto (Department of Radiology, Kanazawa Medical University) Tonami, Hisao (Department of Radiology, Kanazawa Medical University) Ueda, Yoshimichi (Department of Pathophysiological and Experimental Pathology, Kanazawa Medical University) Uramoto, Hidetaka (Department of Thoracic Surgery, Kanazawa Medical University)
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제17권 제6호
발행연도
2016.1
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2,775 - 2,780 (6page)

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Background: Precise staging of lung cancer is usually evaluated by PET-CT and brain MRI. Recently, however, whole-body diffusion-weighted magnetic resonance imaging (WB-DWI) has be applied. The aim of this study is to determine whether the diagnostic performance of lung cancer staging by WB-DWI is superior to that of PET-CT+brain MRI. Materials and Methods: PET-CT + brain MRI and WB-DWI were used for lung cancer staging before surgery with 59 adenocarcinomas, 16 squamous cell carcinomas and 6 other carcinomas. Results: PET-CT + brain MRI correctly identified the pathologic N staging in 67 patients (82.7%), with overstaging in 5 (6.2%) and understaging in 9 (11.1%), giving a staging accuracy of 0.827. WB-DWI correctly identified the pathologic N staging in 72 patients (88.9%), with overstaging in 1 (1.2%) and understaging in 8 patients (9.9%), giving a staging accuracy of 0.889. There were no significant differences in accuracies. PET-CT + brain MRI correctly identified the pathologic stages in 56 patients (69.1%), with overstaging in 7 (8.6%) and understaging in 18 (22.2%), giving a staging accuracy of 0.691. WB-DWI correctly identified the pathologic stages in 61 patients (75.3%), with overstaging in 4 (4.9%) and understagings in16(19.7%), giving a staging accuracy of 0.753. There were no significant difference in accuracies. Conclusions: Diagnostic efficacy of WB-DWI for lung cancer staging is equivalent to that of PET-CT + brain MRI.

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