Overlapping Reconstructions in Thin-section Computed Tomography: Benefits for Lung Nodule Volume Measurements

J Thorac Imaging. 2022 Jul 1;37(4):W56-W57. doi: 10.1097/RTI.0000000000000631. Epub 2021 Dec 16.

Abstract

The aim of our study was to assess the influence of overlapping image reconstruction on thin-section chest computed tomography (CT) in patients with small lung nodules. In all, 40 patients with 128 pulmonary nodules underwent chest CT on a third-generation dual-source CT. All images were reconstructed with a section thickness of 1 mm and an increment of 0.5 to 1 mm. Two readers performed volume measurements with a commercially available software package. Our data indicate no relevant differences (P=0.44) for volume measurements of solid lung nodules comparing overlapping (50% overlap) and nonoverlapping image reconstructions with a mean difference of 0.5±2.3 mm3 and a mean absolute difference of nodule volume of 2±2% (range, 0% to 11%). Interobserver differences were 1.0±3.7 mm3 (reconstruction with 50 overlap) and 1.1±4.1 mm3 (nonoverlapping reconstructions). Differences in nodule volume measurements between overlapping and nonoverlapping image reconstructions were similar compared with interobserver differences. Obviating the reconstruction of overlapping sections for lung nodule volume measurements would reduce the duration of image reconstruction and amount of data storage.

MeSH terms

  • Algorithms
  • Humans
  • Lung / diagnostic imaging
  • Lung Neoplasms* / diagnostic imaging
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Solitary Pulmonary Nodule* / diagnostic imaging
  • Tomography, X-Ray Computed / methods