TY - JOUR
T1 - Spectral detector CT-derived virtual non-contrast images
T2 - comparison of attenuation values with unenhanced CT
AU - Ananthakrishnan, Lakshmi
AU - Rajiah, Prabhakar
AU - Ahn, Richard
AU - Rassouli, Negin
AU - Xi, Yin
AU - Soesbe, Todd C.
AU - Lewis, Matthew A.
AU - Lenkinski, Robert E.
AU - Leyendecker, John R.
AU - Abbara, Suhny
N1 - Funding Information:
The authors would like to thank Christina Carrigan, RN; Katerina Yegorova, RRT; Jamie Goldsmith, MPH; Xinhui Duan, PhD, and Luna Fahoum, CT Clinical Science, Philips Healthcare, for their contributions to this work. This study received financial support from Philips Healthcare. UT Southwestern Medical Center and University Hospitals Cleveland Medical Center participate in an institutional research agreement with Philips Healthcare. Dr. Robert E. Lenkinski participates in research supported in part by Philips Healthcare. Dr. Suhny Abbara participates in an i nstitutional research agreement with Philips Healthcare.
Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Purpose: To assess virtual non-contrast (VNC) images obtained on a detection-based spectral detector CT scanner and determine how attenuation on VNC images derived from various phases of enhanced CT compare to those obtained from true unenhanced images. Methods: In this HIPAA compliant, IRB approved prospective multi-institutional study, 46 patients underwent pre- and post-contrast imaging on a prototype dual-layer spectral detector CT between October 2013 and November 2015, yielding 84 unenhanced and VNC pairs (25 arterial, 39 portal venous/nephrographic, 20 urographic). Mean attenuation was measured by one of three readers in the liver, spleen, kidneys, psoas muscle, abdominal aorta, and subcutaneous fat. Equivalence testing was used to determine if the mean difference between unenhanced and VNC attenuation was less than 5, 10, or 15 HU. VNC image quality was assessed on a 5 point scale. Results: Mean difference between unenhanced and VNC attenuation was <15 HU in 92.6%, <10 HU in 75.2%, and <5 HU in 44.4% of all measurements. Unenhanced and VNC attenuation were equivalent in all tissues except fat using a threshold of <10 HU difference (p < 0.05). No significant variation was seen between phases. In fat, VNC overestimated the HU relative to unenhanced images. VNC image quality was rated as excellent or good in 84% of arterial phase and 85% of nephrographic phase cases, but only 40% of urographic phase. Conclusion: VNC images derived from novel dual layer spectral detector CT demonstrate attenuation values similar to unenhanced images in all tissues evaluated except for subcutaneous fat. Further study is needed to determine if attenuation thresholds currently used clinically for common pathology should be adjusted, particularly for lesions containing fat.
AB - Purpose: To assess virtual non-contrast (VNC) images obtained on a detection-based spectral detector CT scanner and determine how attenuation on VNC images derived from various phases of enhanced CT compare to those obtained from true unenhanced images. Methods: In this HIPAA compliant, IRB approved prospective multi-institutional study, 46 patients underwent pre- and post-contrast imaging on a prototype dual-layer spectral detector CT between October 2013 and November 2015, yielding 84 unenhanced and VNC pairs (25 arterial, 39 portal venous/nephrographic, 20 urographic). Mean attenuation was measured by one of three readers in the liver, spleen, kidneys, psoas muscle, abdominal aorta, and subcutaneous fat. Equivalence testing was used to determine if the mean difference between unenhanced and VNC attenuation was less than 5, 10, or 15 HU. VNC image quality was assessed on a 5 point scale. Results: Mean difference between unenhanced and VNC attenuation was <15 HU in 92.6%, <10 HU in 75.2%, and <5 HU in 44.4% of all measurements. Unenhanced and VNC attenuation were equivalent in all tissues except fat using a threshold of <10 HU difference (p < 0.05). No significant variation was seen between phases. In fat, VNC overestimated the HU relative to unenhanced images. VNC image quality was rated as excellent or good in 84% of arterial phase and 85% of nephrographic phase cases, but only 40% of urographic phase. Conclusion: VNC images derived from novel dual layer spectral detector CT demonstrate attenuation values similar to unenhanced images in all tissues evaluated except for subcutaneous fat. Further study is needed to determine if attenuation thresholds currently used clinically for common pathology should be adjusted, particularly for lesions containing fat.
KW - Dual energy
KW - Dual layer detector
KW - SDCT
KW - Spectral detector CT
KW - Unenhanced versus VNC
KW - VNC
KW - VNC attenuation
KW - Virtual non-contrast
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U2 - 10.1007/s00261-016-1036-9
DO - 10.1007/s00261-016-1036-9
M3 - Article
C2 - 28084546
AN - SCOPUS:85010716369
SN - 2366-004X
VL - 42
SP - 702
EP - 709
JO - Abdominal Radiology
JF - Abdominal Radiology
IS - 3
ER -