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

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

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

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 the average of all four observers.

<p>A_z (Area Under the Curve) and 95% confidence interval in parenthesis.</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_z (Areas Under the Curve) and 95% confidence interval in parenthesis, obs = observer.</p

Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

<div><p>The purpose of this study is to develop a computed tomography (CT) biomarker of emphysema that is robust across reconstruction settings, and evaluate its ability to predict mortality in patients at high risk for lung cancer. Data included baseline CT scans acquired between August 2002 and April 2004 from 1737 deceased subjects and 5740 surviving controls taken from the National Lung Screening Trial. Emphysema scores were computed in the original scans (origES) and after applying resampling, normalization and bullae analysis (normES). We compared the prognostic value of normES versus origES for lung cancer and all-cause mortality by computing the area under the receiver operator characteristic curve (AUC) and the net reclassification improvement (NRI) for follow-up times of 1–7 years. normES was a better predictor of mortality than origES. The 95% confidence intervals for the differences in AUC values indicated a significant difference for all-cause mortality for 2 through 6 years of follow-up, and for lung cancer mortality for 1 through 7 years of follow-up. 95% confidence intervals in NRI values showed a statistically significant improvement in classification for all-cause mortality for 2 through 7 years of follow-up, and for lung cancer mortality for 3 through 7 years of follow-up. Contrary to conventional emphysema score, our normalized emphysema score is a good predictor of all-cause and lung cancer mortality in settings where multiple CT scanners and protocols are used.</p></div

Illustration of an alive subject that is categorized in the high emphysema group by origES (32.44%) and in the low emphysema group by normES (0.45%).

<p>The subject was followed up for 2595 days. The CT image was acquired using a Siemens Sensation 16 scanner and reconstructed with B70f kernel and 2mm slice thickness. (A) Shows the original CT section, (B) shows the original CT section with an emphysema overlay (origES), (C) shows the normalized CT section, and (D) shows the normalized CT section with a normalized emphysema overlay (normES).</p

Baseline characteristics by mortality status.

<p>Baseline characteristics by mortality status.</p

Discrimination of origES and normES, and net reclassification improvement for prediction of lung cancer mortality.

<p>Discrimination of origES and normES, and net reclassification improvement for prediction of lung cancer mortality.</p