Oxygen-enhanced MR imaging: Correlation with postsurgical lung function in patients with lung cancer

Yoshiharu Ohno, Hiroto Hatabu, Takanori Higashino, Munenobu Nogami, Daisuke Takenaka, Hirokazu Watanabe, Marc Van Cauteren, Masahiro Yoshimura, Miyako Satouchi, Yoshihiro Nishimura, Kazuro Sugimura

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)

Abstract

PURPOSE: To prospectively determine if lung function as assessed with oxygen-enhanced magnetic resonance (MR) imaging correlates with postsurgical lung function in patients with lung cancer, as compared with quantitative and qualitative findings of computed tomography (CT) and scintigraphy. MATERIALS AND METHODS: Study received institutional review board approval, and informed patient consent was obtained. Thirty consecutive patients (16 men and 14 women, aged 44-81 years; mean age, 65 years) considered candidates for lung resection underwent oxygen-enhanced MR imaging, CT, perfusion scintigraphy, and measurement of forced expiratory volume in 1 second (FEV1). A respiratory-synchronized inversion-recovery half-Fourier single-shot turbo spin-echo MR sequence was used for data acquisition. Correlation of postsurgical lung function (postsurgical FEV1) as determined with oxygen-enhanced MR imaging (FEV1MR), quantitative assessment with CT (FEV 1Quant), qualitative assessment with CT (FEV1Qual), and perfusion scintigraphy (FEV1PS) was conducted with actual postsurgical FEV1, and the limits of agreement of each were determined with Bland-Altman analysis. RESULTS: Correlation between postsurgical FEV1MR and actual postsurgical FEV1 values was excellent (r2 = 0.81, P < .001); it was better than that of FEV 1Qual (r2 = 0.76) and FEV1PS (r2 = 0.77) and similar to that of FEV1Quant (r2 = 0.81) values. The limits of agreement of FEV1MR were between -9.9% and 10.9%. CONCLUSION: Oxygen-enhanced MR imaging can be used to predict posturgical lung function in patients with lung cancer, similar to quantitative CT.

Original languageEnglish
Pages (from-to)704-711
Number of pages8
JournalRadiology
Volume236
Issue number2
DOIs
Publication statusPublished - 08-2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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