Purpose: The purpose of this work was to evaluate the results of cross-sectional imaging and multiplanar and 3D reconstructions for the detection of thoracic outlet arterial stenosis on CT angiograms.
Method: Eighty-two patients were prospectively evaluated with CT angiography: in the neutral position and after postural maneuver (164 acquisitions); with contralateral injection of a 24% (Group 1; n = 68) or 30% (Group 2; n = 96) contrast agent; and reconstruction of four sets of images from each acquisition, that is, transverse CT scans, sagittal reformations, and 3D [shaded surface displays (SSD) and volume rendered (VR)] images. A total of 656 sets of images were blindly and independently interpreted by three readers of variable experience. A consensus interpretation of the four sets of images of each acquisition was used as a standard of reference.
Results: The number of examinations coded with an excellent degree of arterial enhancement was significantly higher in Group 2 than in Group 1 [68 (71%) vs. 35 (51%); p<0.001]. The sensitivity and specificity for detection of arterial stenosis were 67 and 96% for transverse CT scans, 69 and 94% for sagittal reformations, 71 and 99% for 3D-SSDs, and 95 and 100% for VR images. Compared with the standard of reference, a concordant scoring of arterial stenosis severity was found in 54% of transverse CT scans, 84% of sagittal reformations, 78% of 3D-SSDs and 91% of VR images. Underestimation of stenosis was found in 43% of transverse CT scans and 10% of sagittal reformations; overestimation of stenosis was more frequent on 3D SSDs (16%) than VR images (7%). The reader�s experience was marked for the interpretation of cross-sectional images but did not influence the interpretation of 3D images.
Conclusions: Thoracic outlet arterial compression is best depicted with the injection of a 30% contrast agent and reconstruction of VR images.