Daniel Chong
University of California, Los Angeles
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Proceedings of SPIE | 2011
Daniel Chong; E. M. van Rikxoort; Hyun J. Kim; Jonathan G. Goldin; Matthew S. Brown
This study investigated the reproducibility of HRCT densitometric measures of emphysema in patients scanned twice one week apart. 24 emphysema patients from a multicenter study were scanned at full inspiration (TLC) and expiration (RV), then again a week later for four scans total. Scans for each patient used the same scanner and protocol, except for tube current in three patients. Lung segmentation with gross airway removal was performed on the scans. Volume, weight, mean lung density (MLD), relative area under -950HU (RA-950), and 15th percentile (PD-15) were calculated for TLC, and volume and an airtrapping mask (RA-air) between -950 and -850HU for RV. For each measure, absolute differences were computed for each scan pair, and linear regression was performed against volume difference in a subgroup with volume difference <500mL. Two TLC scan pairs were excluded due to segmentation failure. The mean lung volumes were 5802 +/- 1420mL for TLC, 3878 +/- 1077mL for RV. The mean absolute differences were 169mL for TLC volume, 316mL for RV volume, 14.5g for weight, 5.0HU for MLD, 0.66p.p. for RA-950, 2.4HU for PD-15, and 3.1p.p. for RA-air. The <500mL subgroup had 20 scan pairs for TLC and RV. The R2 values were 0.8 for weight, 0.60 for MLD, 0.29 for RA-950, 0.31 for PD-15, and 0.64 for RA-air. Our results indicate that considerable variability exists in densitometric measures over one week that cannot be attributed to breathhold or physiology. This has implications for clinical trials relying on these measures to assess emphysema treatment efficacy.
Proceedings of SPIE | 2009
Daniel Chong; Matthew S. Brown; Robert A. Ochs; Fereidoun Abtin; M. Brown; Arash Ordookhani; G. Shaw; Hyun J. Kim; David W. Gjertson; Jonathan G. Goldin
A new emphysema treatment uses endobronchial valves to perform lobar volume reduction. The degree of fissure completeness may predict treatment efficacy. This study investigated the behavior of a semiautomated algorithm for quantifying lung fissure integrity in CT with respect to reconstruction kernel and dose. Raw CT data was obtained for six asymptomatic patients from a high-risk population for lung cancer. The patients were scanned on either a Siemens Sensation 16 or 64, using a low-dose protocol of 120 kVp, 25 mAs. Images were reconstructed using kernels ranging from smooth to sharp (B10f, B30f, B50f, B70f). Research software was used to simulate an even lower-dose acquisition of 15 mAs, and images were generated at the same kernels resulting in 8 series per patient. The left major fissure was manually contoured axially at regular intervals, yielding 37 contours across all patients. These contours were read into an image analysis and pattern classification system which computed a Fissure Integrity Score (FIS) for each kernel and dose. FIS values were analyzed using a mixed-effects model with kernel and dose as fixed effects and patient as random effect to test for difference due to kernel and dose. Analysis revealed no difference in FIS between the smooth kernels (B10f, B30f) nor between sharp kernels (B50f, B70f), but there was a significant difference between the sharp and smooth groups (p = 0.020). There was no significant difference in FIS between the two low-dose reconstructions (p = 0.882). Using a cutoff of 90%, the number of incomplete fissures increased from 5 to 10 when the imaging protocol changed from B50f to B30f. Reconstruction kernel has a significant effect on quantification of fissure integrity in CT. This has potential implications when selecting patients for endobronchial valve therapy.
European Radiology | 2011
Hyun J. Kim; Matthew S. Brown; Robert Elashoff; Gang Li; David W. Gjertson; David A. Lynch; Diane C. Strollo; Eric C. Kleerup; Daniel Chong; Sumit K. Shah; Shama Ahmad; Fereidoun Abtin; Donald P. Tashkin; Jonathan G. Goldin
Academic Radiology | 2015
Hyun J. Kim; Matthew S. Brown; Daniel Chong; David W. Gjertson; Peiyun Lu; Hak J. Kim; Heidi Coy; Jonathan G. Goldin
European Radiology | 2012
Matthew S. Brown; Hyun J. Kim; Fereidoun Abtin; Charlie Strange; Maya Galperin-Aizenberg; Richard C. Pais; Irene Da Costa; Arash Ordookhani; Daniel Chong; Chiayi Ni; Michael F. McNitt-Gray; Donald P. Tashkin; Jonathan G. Goldin
European Radiology | 2012
Daniel Chong; Matthew S. Brown; Hyun J. Kim; Eva M. van Rikxoort; Laura Guzman; Michael F. McNitt-Gray; M Khatonabadi; Maya Galperin-Aizenberg; Heidi Coy; Katherine Yang; Yongha Jung; Jonathan G. Goldin
European Respiratory Journal | 2011
Hyun J. Kim; Matthew S. Brown; Fereidoun Abtin; Peiyun Lu; Daniel Chong; Jonathan G. Goldin
american thoracic society international conference | 2010
Matthew S. Brown; Hyun J. Kim; Fereidoun Abtin; Maya Galperin-Aizenberg; Richard C. Pais; Irene Da Costa; Arash Ordookhani; Daniel Chong; Chiayi Ni; Jonathan G. Goldin
american thoracic society international conference | 2011
Maya Galperin-Aizenberg; Hyun J. Kim; Daniel Chong; Laura Guzman; Heidi Coy; Matthew S. Brown; Jonathan G. Goldin
american thoracic society international conference | 2011
Daniel Chong; Hyun Joo Kim; Eva M. van Rikxoort; Maya Galperin; Katherine Yang; Yongha Jung; Michael F. McNitt-Gray; Jonathan G. Goldin; Matthew S. Brown