PURPOSE: The purpose of this study was to prospectively investigate clinical correlations between dosimetric parameters associated with radiation pneumonitis (RP) and functional lung imaging. METHODS AND MATERIALS: Functional lung imaging was performed using four-dimensional computed tomography (4D-CT) for ventilation imaging, single-photon emission computed tomography (SPECT) for perfusion imaging, or both (V/Q-matched region). Using 4D-CT, ventilation imaging was derived from a low attenuation area according to CT numbers below different thresholds (vent-860 and -910). Perfusion imaging at the 10th, 30th, 50th, and 70th percentile perfusion levels (F10-F70) were defined as the top 10%, 30%, 50%, and 70% hyperperfused normal lung, respectively. All imaging data were incorporated into a 3D planning system to evaluate correlations between RP dosimetric parameters (where fV20 is the percentage of functional lung volume irradiated with >20 Gy, or fMLD, the mean dose administered to functional lung) and the percentage of functional lung volume. Radiation pneumonitis was evaluated using Common Terminology Criteria for Adverse Events version 4.0. Statistical significance was defined as a P value of <.05. RESULTS: Sixty patients who underwent curative radiation therapy were enrolled (48 patients for non-small cell lung cancer, and 12 patients for small cell lung cancer). Grades 1, 2, and ≥3 RP were observed in 16, 44, and 6 patients, respectively. Significant correlations were observed between the percentage of functional lung volume and fV20 (r=0.4475 in vent-860 and 0.3508 in F30) or fMLD (r=0.4701 in vent-860 and 0.3128 in F30) in patients with grade ≥2 RP. F30∩vent-860 results exhibited stronger correlations with fV20 and fMLD in patients with grade ≥2 (r=0.5509 in fV20 and 0.5320 in fMLD) and grade ≥3 RP (r=0.8770 in fV20 and 0.8518 in fMLD). CONCLUSIONS: RP dosimetric parameters correlated significantly with functional lung imaging.
PURPOSE: The purpose of this study was to prospectively investigate clinical correlations between dosimetric parameters associated with radiation pneumonitis (RP) and functional lung imaging. METHODS AND MATERIALS: Functional lung imaging was performed using four-dimensional computed tomography (4D-CT) for ventilation imaging, single-photon emission computed tomography (SPECT) for perfusion imaging, or both (V/Q-matched region). Using 4D-CT, ventilation imaging was derived from a low attenuation area according to CT numbers below different thresholds (vent-860 and -910). Perfusion imaging at the 10th, 30th, 50th, and 70th percentile perfusion levels (F10-F70) were defined as the top 10%, 30%, 50%, and 70% hyperperfused normal lung, respectively. All imaging data were incorporated into a 3D planning system to evaluate correlations between RP dosimetric parameters (where fV20 is the percentage of functional lung volume irradiated with >20 Gy, or fMLD, the mean dose administered to functional lung) and the percentage of functional lung volume. Radiation pneumonitis was evaluated using Common Terminology Criteria for Adverse Events version 4.0. Statistical significance was defined as a P value of <.05. RESULTS: Sixty patients who underwent curative radiation therapy were enrolled (48 patients for non-small cell lung cancer, and 12 patients for small cell lung cancer). Grades 1, 2, and ≥3 RP were observed in 16, 44, and 6 patients, respectively. Significant correlations were observed between the percentage of functional lung volume and fV20 (r=0.4475 in vent-860 and 0.3508 in F30) or fMLD (r=0.4701 in vent-860 and 0.3128 in F30) in patients with grade ≥2 RP. F30∩vent-860 results exhibited stronger correlations with fV20 and fMLD in patients with grade ≥2 (r=0.5509 in fV20 and 0.5320 in fMLD) and grade ≥3 RP (r=0.8770 in fV20 and 0.8518 in fMLD). CONCLUSIONS: RP dosimetric parameters correlated significantly with functional lung imaging.
Authors: Daniel R Owen; Yilun Sun; Jim C Irrer; Matthew J Schipper; Caitlin A Schonewolf; Stefanie Galbán; Shruti Jolly; Randall K Ten Haken; C J Galbán; M M Matuszak Journal: Adv Radiat Oncol Date: 2022-04-25
Authors: Yevgeniy Vinogradskiy; Chad G Rusthoven; Leah Schubert; Bernard Jones; Austin Faught; Richard Castillo; Edward Castillo; Laurie E Gaspar; Jennifer Kwak; Timothy Waxweiler; Michele Dougherty; Dexiang Gao; Craig Stevens; Moyed Miften; Brian Kavanagh; Thomas Guerrero; Inga Grills Journal: Int J Radiat Oncol Biol Phys Date: 2018-10-18 Impact factor: 7.038
Authors: Daniel Rocky Owen; Phillip S Boonstra; Benjamin L Viglianti; James M Balter; Matthew J Schipper; William C Jackson; Issam El Naqa; Shruti Jolly; Randall K Ten Haken; Feng-Ming Spring Kong; Martha M Matuszak Journal: Int J Radiat Oncol Biol Phys Date: 2018-06-01 Impact factor: 7.038
Authors: Geoffrey G Zhang; Kujtim Latifi; Kaifang Du; Joseph M Reinhardt; Gary E Christensen; Kai Ding; Vladimir Feygelman; Eduardo G Moros Journal: J Appl Clin Med Phys Date: 2016-03-08 Impact factor: 2.102