title: Impact of organ-specific dose reduction on the image quality of head and neck CT angiography.
abstract: OBJECTIVE
  Organ-specific dose reduction (OSDR) algorithms can reduce radiation on radiosensitive organs up to 59 %. This study evaluates the influence of a new OSDR algorithm on image quality of head and neck computed tomographic angiography (CTA) in clinical routine.
  
  
  METHODS
  Sixty-two consecutive patients (68 ± 13 years) were randomised into two groups and imaged using 128-row multidetector CT. Group A (n = 31) underwent conventional CTA and group B (n = 31) CTA with a novel OSDR algorithm. Subjective and objective image quality were statistically compared. Subjective image quality was rated on a five-point scale. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated with region-of-interest measurements.
  
  
  RESULTS
  The SNR of the common carotid artery and middle cerebral artery was 53.6 ± 22.7 and 43.3 ± 15.3 (group A) versus 54.1 ± 20.5 and 46.2 ± 14.6 (group B). The CNR was 40.0 ± 19.3 and 29.7 ± 12.0 (group A) compared with 40.7 ± 16.8 and 32.9 ± 10.9 (group B), respectively. Subjective image quality was excellent in both groups (mean score 4.4 ± 0.7 versus 4.4 ± 0.6). Differences between the two groups were not significant.
  
  
  CONCLUSIONS
  The novel OSDR algorithm does not compromise image quality of head and neck CTA. Its application can be recommended for CTA in clinical routine to protect the thyroid gland and ocular lenses from unnecessary high radiation.
  
  
  CONCLUSIONS
  • Organ-specific dose reduction (OSDR) can significantly reduce radiation exposure during CT • OSDR does not compromise image quality of head and neck CTA • OSDR can significantly lower the risk of radiation damage to sensitive organs • OSDR can easily be applied in routine clinical practice.
authors.affiliation: Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, Moorenstrasse 5, 40225 Dusseldorf, Germany.
authors.forename: L
authors.initials: L
authors.lastname: Schimmöller
authors.forename: R S
authors.initials: RS
authors.lastname: Lanzman
authors.forename: P
authors.initials: P
authors.lastname: Heusch
authors.forename: S
authors.initials: S
authors.lastname: Dietrich
authors.forename: F
authors.initials: F
authors.lastname: Miese
authors.forename: J
authors.initials: J
authors.lastname: Aissa
authors.forename: T A
authors.initials: TA
authors.lastname: Heusner
authors.forename: G
authors.initials: G
authors.lastname: Antoch
authors.forename: P
authors.initials: P
authors.lastname: Kröpil
mesh_terms: D000368:Aged; D000465:Algorithms; D017536:Carotid Artery, Common / Q000473:pathology; D002533:Cerebral Angiography / Q000379:methods*; D003287:Contrast Media / Q000494:pharmacology; D005260:Female; D006258:Head and Neck Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D020768:Middle Cerebral Artery / Q000473:pathology; D011446:Prospective Studies; D011829:Radiation Dosage; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D059629:Signal-To-Noise Ratio; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media