Abstract
OBJECTIVE. The purpose of this study was to determine the capability of dynamic perfusion MRI as an alternative to pulmonary perfusion scintigraphy for prediction of postoperative lung function in patients with lung cancer. SUBJECTS AND METHODS. Sixty patients with lung cancer (35 men, 25 women) underwent dynamic perfusion MRI, perfusion scintigraphy, and preoperative and postoperative pulmonary function tests (forced expiratory volume in 1 sec [FEV1]). Perfusion MRIs were obtained with a 3D turbo field-echo sequence (TR/TE, 2.7/0.6; flip angle, 40°; matrix, 128 × 96) using a 1.5-T scanner. Regional blood flow was calculated from the signal intensity-time curves after bolus injection of contrast medium on MRI (Q MRI) and uptake ratios of radioisotope on perfusion scintigraphy (QPS). Postoperative lung functions predicted by MRI (FEV 1,MRI) and perfusion scintigraphy (FEV1,PS) were calculated from preoperative FEV1 and regional Qs. To determine the capability of MRI as an alternative to scintigraphy, we evaluated correlations and the limits of agreement between predicted FEV1,MRI and postoperative FEV1 and between predicted FEV1,PS and postoperative FEV1. RESULTS. The correlation coefficient of postoperative FEV1 with FEV1,MRI (r = 0.93, p < 0.0001) was better than that with FEV1,PS (r = 0.89, p < 0.0001). The limits of agreement between postoperative FEV1 and predicted FEV 1,MRI (0.9% ± 10.4%) were smaller than those between postoperative FEV1 and predicted FEV1,PS (2.1% ± 13.2%). CONCLUSION. Dynamic perfusion MRI is a feasible alternative to pulmonary perfusion scintigraphy for predicting postoperative lung function in patients with lung cancer.
| Original language | English |
|---|---|
| Pages (from-to) | 73-78 |
| Number of pages | 6 |
| Journal | American Journal of Roentgenology |
| Volume | 182 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01-2004 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
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