Accuracy and Utility of Deformable Image Registration in (68)Ga 4D PET/CT Assessment of Pulmonary Perfusion Changes During and After Lung Radiation Therapy

Int J Radiat Oncol Biol Phys. 2015 Sep 1;93(1):196-204. doi: 10.1016/j.ijrobp.2015.05.011. Epub 2015 May 14.

Abstract

Purpose: Measuring changes in lung perfusion resulting from radiation therapy dose requires registration of the functional imaging to the radiation therapy treatment planning scan. This study investigates registration accuracy and utility for positron emission tomography (PET)/computed tomography (CT) perfusion imaging in radiation therapy for non-small cell lung cancer.

Methods: (68)Ga 4-dimensional PET/CT ventilation-perfusion imaging was performed before, during, and after radiation therapy for 5 patients. Rigid registration and deformable image registration (DIR) using B-splines and Demons algorithms was performed with the CT data to obtain a deformation map between the functional images and planning CT. Contour propagation accuracy and correspondence of anatomic features were used to assess registration accuracy. Wilcoxon signed-rank test was used to determine statistical significance. Changes in lung perfusion resulting from radiation therapy dose were calculated for each registration method for each patient and averaged over all patients.

Results: With B-splines/Demons DIR, median distance to agreement between lung contours reduced modestly by 0.9/1.1 mm, 1.3/1.6 mm, and 1.3/1.6 mm for pretreatment, midtreatment, and posttreatment (P < .01 for all), and median Dice score between lung contours improved by 0.04/0.04, 0.05/0.05, and 0.05/0.05 for pretreatment, midtreatment, and posttreatment (P < .001 for all). Distance between anatomic features reduced with DIR by median 2.5 mm and 2.8 for pretreatment and midtreatment time points, respectively (P = .001) and 1.4 mm for posttreatment (P > .2). Poorer posttreatment results were likely caused by posttreatment pneumonitis and tumor regression. Up to 80% standardized uptake value loss in perfusion scans was observed. There was limited change in the loss in lung perfusion between registration methods; however, Demons resulted in larger interpatient variation compared with rigid and B-splines registration.

Conclusions: DIR accuracy in the data sets studied was variable depending on anatomic changes resulting from radiation therapy; caution must be exercised when using DIR in regions of low contrast or radiation pneumonitis. Lung perfusion reduces with increasing radiation therapy dose; however, DIR did not translate into significant changes in dose-response assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Carcinoma, Non-Small-Cell Lung* / blood supply
  • Carcinoma, Non-Small-Cell Lung* / diagnostic imaging
  • Carcinoma, Non-Small-Cell Lung* / physiopathology
  • Carcinoma, Non-Small-Cell Lung* / radiotherapy
  • Four-Dimensional Computed Tomography / methods*
  • Gallium Radioisotopes*
  • Humans
  • Lung / blood supply
  • Lung / diagnostic imaging
  • Lung / physiopathology
  • Lung / radiation effects*
  • Lung Neoplasms* / blood supply
  • Lung Neoplasms* / diagnostic imaging
  • Lung Neoplasms* / physiopathology
  • Lung Neoplasms* / radiotherapy
  • Pilot Projects
  • Positron-Emission Tomography / methods*
  • Prospective Studies
  • Radiation Pneumonitis
  • Radiotherapy Planning, Computer-Assisted / methods*
  • Respiration*
  • Sensitivity and Specificity
  • Ventilation-Perfusion Ratio

Substances

  • Gallium Radioisotopes