2002
DOI: 10.1002/jmri.10121
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Prediction of postoperative pulmonary function using perfusion magnetic resonance imaging of the lung

Abstract: Purpose: To assess semiquantitatively the regional distribution of lung perfusion using magnetic resonance (MR) perfusion imaging. Materials and Methods:Subjects were 20 consecutive patients with bronchogenic carcinoma, who underwent MR imaging (MRI) and radionuclide (RN) perfusion scans for preoperative evaluation. Three-dimensional (3D) images of whole lungs were obtained before and 7 seconds after bolus injection of contrast material (5 ml of Gd-DTPA). Subtraction images were constructed from these dynamic … Show more

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Cited by 46 publications
(33 citation statements)
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“…In the past years, imaging techniques have been proposed to predict post-operative pulmonary function: computed tomography (CT) scan, magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), or a combination of these [100][101][102][103][104][105][106][107][108]. Quantitative CT appeared to be at least as accurate as perfusion scintigraphy.…”
Section: Statementmentioning
confidence: 99%
“…In the past years, imaging techniques have been proposed to predict post-operative pulmonary function: computed tomography (CT) scan, magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), or a combination of these [100][101][102][103][104][105][106][107][108]. Quantitative CT appeared to be at least as accurate as perfusion scintigraphy.…”
Section: Statementmentioning
confidence: 99%
“…Patient studies have further shown the ability of DCE lung MR imaging to assist detection of pulmonary embolism (4,5), to evaluate postoperative lung function in lung cancer patients (6,7), and to assess complex pulmonary circulation in congenital heart diseases (8). The effectiveness DCE MR imaging, as demonstrated with comparable quality to the current gold standard (9,10) and with perfusion quantification validated by experimental animal model using invasive microsphere measurements (11), clearly reveals promising potential in the monitoring of pulmonary diseases (12).…”
mentioning
confidence: 92%
“…The regional lung function is calculated from the subtraction images for normal lung parenchyma using image analysis software. The accuracy of MR perfusion for the prediction of ppoFEV1 was validated in a study (Iwasawa, et al 2002). This study demonstrated that the correlation between perfusion ratios derived from MR perfusion image and radionuclide perfusion scanning was excellent (R = 0.92).…”
Section: Dynamic Perfusion Magnetic Resonance Imaging (Mri)mentioning
confidence: 77%