14 research outputs found
Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study - Fig 3
<p><b>(a)</b> Correctly identified transient lesion with a probability score of ≤ 40 by all four observers. <b>(b)</b> Correctly identified persistent lesion with a probability score of ≥ 80 by all four observers. <b>(c)</b> Incorrectly identified lesion by majority of observers: transient lesion, but scored as persistent (probability score ≥ 60). <b>(d)</b> Incorrectly identified lesion by majority of observers: persistent lesion, but scored as transient (probability score ≤ 40).</p
Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study - Fig 4
<p><b>(a)</b> A transient lesion with disagreement (2 versus 2) among observers. <b>(b)</b> A persistent lesion with disagreement (2 versus 2) among observers.</p
Univariate analyses.
<p>Table describes morphological features with at least 2 observers in which the feature is seen significantly different between transient (T) and persistent (P) subsolid nodules using Chi-square. The total number of included nodules after exclusion is 172.</p
Receiver Operating Characteristic (ROC) curves for the average of all four observers.
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
Reading workstation.
<p>The morphological features to be scored are listed on the left side of the monitor display. Lower-left corner has two text fields to enter the probability (0–100) and any comments. A magnified axial view of the nodule under evaluation is centered in the middle of the display. Coronal/sagittal projections are available on the right side of the screen, display size of the three projections was interchangeable. Processing tools such as windowing and magnification as well the full 3D CT dataset were available at any time.</p
Receiver Operating Characteristic (ROC) curves for observer 1, 2, 3 and 4 to predict the persistence of the subsolid lesions ≥ 10 mm.
<p>A<sub>z</sub> (Areas Under the Curve) and 95% confidence interval in parenthesis, obs = observer.</p
Number of, on average, detected cases per subtlety category.
<p>Number of, on average, detected cases per subtlety category.</p
Observer performance.
<p>Average area under the ROC curves (AUC) for all observers. AUCs are displayed for all images and for analysis of the different groups of projection type (bedside and upright).</p><p>Observer performance.</p
Bedside radiograph of a 58 year old female with neutropenic fever.
<p>Without BSI, 3 of the 7 observers called the radiograph suspicious, which increased to 7 observers with BSI. Original radiograph (A), bone suppressed image (B), coronal CT slice (C).</p
Upright radiograph with a very subtle lesion in the left lower lobe.
<p>Without BSI only one observer marked the small lesion. With BSI all 7 observers marked the lesion with an average suspiciousness score of 55. Original radiograph (A), bone suppressed image (B), coronal CT slice (C).</p