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Original Research |
1 Department of Radiology, University of Pittsburgh School of Medicine, 3362
Fifth Ave., Pittsburgh, PA 15213.
2 Mallinckrodt Institute of Radiology, Washington University School of Medicine,
St. Louis, MO.
3 Department of Radiology, University of Chicago, Chicago, IL.
OBJECTIVE. The purpose of our study was to evaluate the performance of a computer-aided program that performs automated matching of pulmonary nodules imaged in three serial screening chest MDCT studies.
MATERIALS AND METHODS. Forty subjects with pulmonary nodules
depicted in three annual (T0, T1, T2) low-dose MDCT screening studies for lung
cancer were selected from the National Lung Screening Trial database at a
single institution. All CT images were reevaluated by two radiologists in
consensus. One hundred forty-three nodules were identified and characterized
by type (solid parenchymal, juxtavascular, juxtapleural, and ground-glass
opacity) and size (
4 mm, 4–6 mm, 6–8 mm, and > 8 mm).
Using an automated program, nodules at T0 were matched to nodules at T1, and
the same nodules at T1 were matched to nodules at T2. Associations between
nodule matching rate (i.e., number of nodules matched by the program divided
by the number of nodules determined to match by radiologists) and nodule type
or size were analyzed.
RESULTS. The combined matching rate of the nodules was 92.7% (T0 vs T1, 91.6%; T1 vs T2, 93.7%). By nodule type, the matching rate was 94.6% (parenchymal), 98.4% (juxtavascular), 85.8% (juxtapleural), and 100% (ground-glass opacity), with the rate significantly lower for juxtapleural nodules (p < 0.01). Matching rates were not significantly influenced by nodule size (p = 0.67).
CONCLUSION. The automated matching rate for pulmonary nodules in screening MDCT scans was high (92.7%) and was not affected by the nodule size but was slightly lower with nodules at juxtapleural locations.
Keywords: chest CT computer-aided diagnosis lung cancer screening pulmonary nodules
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