Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes

Yevgeniy Vinogradskiy, Richard Castillo, Edward Castillo, Susan L. Tucker, Zhongxing Liao, Thomas Guerrero, Mary K. Martel

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Purpose: Four-dimensional computed tomography (4DCT)-based ventilation is an emerging imaging modality that can be used in the thoracic treatment planning process. The clinical benefit of using ventilation images in radiation treatment plans remains to be tested. The purpose of the current work was to test the potential benefit of using ventilation in treatment planning by evaluating whether dose to highly ventilated regions of the lung resulted in increased incidence of clinical toxicity. Methods and Materials: Pretreatment 4DCT data were used to compute pretreatment ventilation images for 96 lung cancer patients. Ventilation images were calculated using 4DCT data, deformable image registration, and a density-change based algorithm. Dose-volume and ventilation-based dose function metrics were computed for each patient. The ability of the dose-volume and ventilation-based dose-function metrics to predict for severe (grade 3+) radiation pneumonitis was assessed using logistic regression analysis, area under the curve (AUC) metrics, and bootstrap methods. Results: A specific patient example is presented that demonstrates how incorporating ventilation-based functional information can help separate patients with and without toxicity. The logistic regression significance values were all lower for the dose-function metrics (range P=.093-.250) than for their dose-volume equivalents (range, P=.331-.580). The AUC values were all greater for the dose-function metrics (range, 0.569-0.620) than for their dose-volume equivalents (range, 0.500-0.544). Bootstrap results revealed an improvement in model fit using dose-function metrics compared to dose-volume metrics that approached significance (range, P=.118-.155). Conclusions: To our knowledge, this is the first study that attempts to correlate lung dose and 4DCT ventilation-based function to thoracic toxicity after radiation therapy. Although the results were not significant at the.05 level, our data suggests that incorporating ventilation-based functional imaging can improve prediction for radiation pneumonitis. We present an important first step toward validating the use of 4DCT-based ventilation imaging in thoracic treatment planning.

Original languageEnglish
Pages (from-to)366-371
Number of pages6
JournalInternational Journal of Radiation Oncology Biology Physics
Volume86
Issue number2
DOIs
StatePublished - Jun 1 2013
Externally publishedYes

Fingerprint

ventilation
lungs
Ventilation
tomography
Tomography
dosage
Lung
Radiation Pneumonitis
toxicity
planning
Thorax
logistics
Area Under Curve
pretreatment
regression analysis
Logistic Models
Four-Dimensional Computed Tomography
radiation
Therapeutics
curves

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Cancer Research

Cite this

Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes. / Vinogradskiy, Yevgeniy; Castillo, Richard; Castillo, Edward; Tucker, Susan L.; Liao, Zhongxing; Guerrero, Thomas; Martel, Mary K.

In: International Journal of Radiation Oncology Biology Physics, Vol. 86, No. 2, 01.06.2013, p. 366-371.

Research output: Contribution to journalArticle

Vinogradskiy, Yevgeniy ; Castillo, Richard ; Castillo, Edward ; Tucker, Susan L. ; Liao, Zhongxing ; Guerrero, Thomas ; Martel, Mary K. / Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes. In: International Journal of Radiation Oncology Biology Physics. 2013 ; Vol. 86, No. 2. pp. 366-371.
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