PMID- 24961883
OWN - NLM
STAT- MEDLINE
DCOM- 20151215
LR  - 20211021
IS  - 1432-1920 (Electronic)
IS  - 0028-3940 (Linking)
VI  - 56
IP  - 9
DP  - 2014 Sep
TI  - Automated tube voltage adaptation in head and neck computed tomography between 
      120 and 100 kV: effects on image quality and radiation dose.
PG  - 797-803
LID - 10.1007/s00234-014-1393-4 [doi]
AB  - INTRODUCTION: Low tube voltage allows for computed tomography (CT) imaging with 
      increased iodine contrast at reduced radiation dose. We sought to evaluate the 
      image quality and potential dose reduction using a combination of attenuation 
      based tube current modulation (TCM) and automated tube voltage adaptation (TVA) 
      between 100 and 120 kV in CT of the head and neck. METHODS: One hundred thirty 
      consecutive patients with indication for head and neck CT were examined with a 
      128-slice system capable of TCM and TVA. Reference protocol was set at 120 kV. 
      Tube voltage was reduced to 100 kV whenever proposed by automated analysis of the 
      localizer. An additional small scan aligned to the jaw was performed at a fixed 
      120 kV setting. Image quality was assessed by two radiologists on a standardized 
      Likert-scale and measurements of signal- (SNR) and contrast-to-noise ratio (CNR). 
      Radiation dose was assessed as CTDIvol. RESULTS: Diagnostic image quality was 
      excellent in both groups and did not differ significantly (p = 0.34). Image noise 
      in the 100 kV data was increased and SNR decreased (17.8/9.6) in the jugular 
      veins and the sternocleidomastoid muscle when compared to 120 kV (SNR 24.4/10.3), 
      but not in fatty tissue and air. However, CNR did not differ statistically 
      significant between 100 (23.5/14.4/9.4) and 120 kV data (24.2/15.3/8.6) while 
      radiation dose was decreased by 7-8%. CONCLUSIONS: TVA between 100 and 120 kV in 
      combination with TCM led to a radiation dose reduction compared to TCM alone, 
      while keeping CNR constant though maintaining diagnostic image quality.
FAU - May, Matthias S
AU  - May MS
AD  - Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, 
      Erlangen, Germany, matthias.may@uk-erlangen.de.
FAU - Kramer, Manuel R
AU  - Kramer MR
FAU - Eller, Achim
AU  - Eller A
FAU - Wuest, Wolfgang
AU  - Wuest W
FAU - Scharf, Michael
AU  - Scharf M
FAU - Brand, Michael
AU  - Brand M
FAU - Saake, Marc
AU  - Saake M
FAU - Schmidt, Bernhard
AU  - Schmidt B
FAU - Uder, Michael
AU  - Uder M
FAU - Lell, Michael M
AU  - Lell MM
LA  - eng
PT  - Journal Article
DEP - 20140625
PL  - Germany
TA  - Neuroradiology
JT  - Neuroradiology
JID - 1302751
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - *Electricity
MH  - Head/*diagnostic imaging
MH  - Humans
MH  - Middle Aged
MH  - Neck/*diagnostic imaging
MH  - Prospective Studies
MH  - Radiation Dosage
MH  - Tomography, X-Ray Computed/*instrumentation
EDAT- 2014/06/26 06:00
MHDA- 2015/12/17 06:00
CRDT- 2014/06/26 06:00
PHST- 2014/01/31 00:00 [received]
PHST- 2014/06/11 00:00 [accepted]
PHST- 2014/06/26 06:00 [entrez]
PHST- 2014/06/26 06:00 [pubmed]
PHST- 2015/12/17 06:00 [medline]
AID - 10.1007/s00234-014-1393-4 [doi]
PST - ppublish
SO  - Neuroradiology. 2014 Sep;56(9):797-803. doi: 10.1007/s00234-014-1393-4. Epub 2014 
      Jun 25.