Pulmonary high-resolution ultrashort TE MR imaging: Comparison with thin-section standard- and low-dose computed tomography for the assessment of XXXX .

@entity1 @entity1143 @entity231 @entity4530 @entity5 @entity2415 @entity358 @entity4595 @entity439
BACKGROUND: To determine the accuracy of pulmonary MR imaging with ultrashort echo time (UTE) for lung and mediastinum assessments using computed tomography (CT) as the reference standard, for various @entity358 . METHODS: Eight-five consecutive @entity1 (46 males: mean age, 69 years and 39 females: mean age, 69 years) with various @entity358 were examined with chest standard- and low-dose CTs and pulmonary MR imaging with UTE. This was followed by visual assessment using a 5-point system of the presence of nodules or masses, ground-glass opacity, micronodules, nodules, patchy shadow or consolidation, @entity2415 or @entity4530 , @entity4595 , @entity231 , and honeycomb and traction @entity4595 . Presence of @entity439 , @entity1143 , @entity5 , and lymph adenopathy was also evaluated using a 5-point system. To compare the capability of the methods for lung parenchyma and mediastinum evaluation, intermethod agreement was evaluated by means of kappa statistics and   (2) test. Receiver operating characteristic analyses were used to compare diagnostic performance of all methods. RESULTS: Intermethod agreements between pulmonary MR imaging and standard-dose and low-dose CT were significant and either substantial or almost perfect (0.67    <=   k    <=   0.98; P   <   0.0001). Areas under the curve for @entity2415 or @entity4530 , @entity4595 or traction @entity4595 and @entity231 on standard-dose CT were significantly larger than those on low-dose CT ( @entity2415 or @entity4530 : P   =   0.0002; @entity231 : P   <   0.0001) and pulmonary MR imaging ( @entity2415 or @entity4530 : P   <   0.0001; @entity4595 : P   =   0.008; @entity231 : P   <   0.0001). CONCLUSION: Pulmonary MR imaging with UTE is useful for lung and mediastinum assessment and evaluation of radiological findings for @entity1 with various @entity358 . J. Magn. Reson. Imaging 2015.
