Yoshiharu Ohno1,2, Masao Yui3, Yu Chen4, Yuji Kishida5, Shinichiro Seki1,2, Takeshi Yoshikawa1,2. 1. 1 Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan. 2. 2 Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Japan. 3. 3 Canon Medical Systems Corporation, Otawara, Japan. 4. 4 Research & Development Center, Canon Medical Systems (China) Co., Ltd, Beijing, China. 5. 5 Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Abstract
OBJECTIVE: The purpose of this study is to directly compare the capability of gadolinium-based blood volume (BV) mapping from MRI (BV-MRI) with ultrashort TE (UTE) with that of CT and perfusion SPECT in predicting the postoperative lung function of patients with non-small cell lung cancer (NSCLC). SUBJECTS AND METHODS: Unenhanced and contrast-enhanced MRI with UTE, thin-section CT, and perfusion SPECT examinations and measurements of the percentage of forced expiratory volume in 1 second (FEV1) before and after lung resection were performed for 29 patients with NSCLC (16 men [mean age, 66 years] and 13 women [mean age, 66 years]). BV-MRI with UTE was generated as a percentage of the signal change between unenhanced and contrast-enhanced MRI. The postoperative percentage of FEV1 was predicted from perfusion fractions derived from BV-MRI with UTE and from SPECT. Quantitatively and qualitatively predicted postoperative percentages of FEV1 from CT were calculated from the functional lung volumes and the number of segments. Each predicted postoperative percentage of FEV1 was then correlated with the actual postoperative percentage of FEV1, and the limits of agreement for each actual and predicted postoperative percentage of FEV1 were evaluated by Bland-Altman analysis. RESULTS: Correlations between actual and predicted postoperative percentages of FEV1 for all methods were strong and significant (0.88 ≤ r ≤ 0.95). The limits of agreement (mean ± 1.96 × SD) for BV-MRI with UTE (4.2% ± 6.5%) and quantitatively assessed CT (4.1% ± 6.5%) were smaller than those for qualitatively assessed CT (4.2% ± 9.8%) and perfusion SPECT (5.7% ± 8.7%). CONCLUSION: BV-MRI with UTE has the potential to predict the postoperative lung function of patients with NSCLC more accurately than qualitatively assessed CT and SPECT, and it can be considered to be at least as useful as quantitatively assessed CT.
OBJECTIVE: The purpose of this study is to directly compare the capability of gadolinium-based blood volume (BV) mapping from MRI (BV-MRI) with ultrashort TE (UTE) with that of CT and perfusion SPECT in predicting the postoperative lung function of patients with non-small cell lung cancer (NSCLC). SUBJECTS AND METHODS: Unenhanced and contrast-enhanced MRI with UTE, thin-section CT, and perfusion SPECT examinations and measurements of the percentage of forced expiratory volume in 1 second (FEV1) before and after lung resection were performed for 29 patients with NSCLC (16 men [mean age, 66 years] and 13 women [mean age, 66 years]). BV-MRI with UTE was generated as a percentage of the signal change between unenhanced and contrast-enhanced MRI. The postoperative percentage of FEV1 was predicted from perfusion fractions derived from BV-MRI with UTE and from SPECT. Quantitatively and qualitatively predicted postoperative percentages of FEV1 from CT were calculated from the functional lung volumes and the number of segments. Each predicted postoperative percentage of FEV1 was then correlated with the actual postoperative percentage of FEV1, and the limits of agreement for each actual and predicted postoperative percentage of FEV1 were evaluated by Bland-Altman analysis. RESULTS: Correlations between actual and predicted postoperative percentages of FEV1 for all methods were strong and significant (0.88 ≤ r ≤ 0.95). The limits of agreement (mean ± 1.96 × SD) for BV-MRI with UTE (4.2% ± 6.5%) and quantitatively assessed CT (4.1% ± 6.5%) were smaller than those for qualitatively assessed CT (4.2% ± 9.8%) and perfusion SPECT (5.7% ± 8.7%). CONCLUSION: BV-MRI with UTE has the potential to predict the postoperative lung function of patients with NSCLC more accurately than qualitatively assessed CT and SPECT, and it can be considered to be at least as useful as quantitatively assessed CT.