Published May 1, 2014 | Version v1
Journal article

Comparison of 4-Dimensional Computed Tomography Ventilation With Nuclear Medicine Ventilation-Perfusion Imaging: A Clinical Validation Study

  • 1. Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado (United States)
  • 2. Department of Radiology, University of Colorado School of Medicine, Aurora, Colorado (United States)
  • 3. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States)
  • 4. Department of Computational and Applied Mathematics, Rice University, Houston, Texas (United States)
  • 5. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

Description

Purpose: Four-dimensional computed tomography (4DCT) ventilation imaging provides lung function information for lung cancer patients undergoing radiation therapy. Before 4DCT-ventilation can be implemented clinically it needs to be validated against an established imaging modality. The purpose of this work was to compare 4DCT-ventilation to nuclear medicine ventilation, using clinically relevant global metrics and radiologist observations. Methods and Materials: Fifteen lung cancer patients with 16 sets of 4DCT and nuclear medicine ventilation-perfusion (VQ) images were used for the study. The VQ-ventilation images were acquired in planar mode using Tc-99m-labeled diethylenetriamine-pentaacetic acid aerosol inhalation. 4DCT data, spatial registration, and a density-change-based model were used to compute a 4DCT-based ventilation map for each patient. The percent ventilation was calculated in each lung and each lung third for both the 4DCT and VQ-ventilation scans. A nuclear medicine radiologist assessed the VQ and 4DCT scans for the presence of ventilation defects. The VQ and 4DCT-based images were compared using regional percent ventilation and radiologist clinical observations. Results: Individual patient examples demonstrate good qualitative agreement between the 4DCT and VQ-ventilation scans. The correlation coefficients were 0.68 and 0.45, using the percent ventilation in each individual lung and lung third, respectively. Using radiologist-noted presence of ventilation defects and receiver operating characteristic analysis, the sensitivity, specificity, and accuracy of the 4DCT-ventilation were 90%, 64%, and 81%, respectively. Conclusions: The current work compared 4DCT with VQ-based ventilation using clinically relevant global metrics and radiologist observations. We found good agreement between the radiologist's assessment of the 4DCT and VQ-ventilation images as well as the percent ventilation in each lung. The agreement lessened when the data were analyzed on a regional level. Our study presents an important step for the integration of 4DCT-ventilation into thoracic clinical practice

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijrobp.2014.01.009

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2014.01.009;
PII
S0360-3016(14)00067-4;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
89
Journal Issue
1
Journal Page Range
p. 199-205
ISSN
0360-3016
CODEN
IOBPD3

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.