The study was approved by the local Ethical Review Board at Karolinska University Hospital, Stockholm, Sweden.
Data acquired on a system equipped with a state-of-the-art image processing with reference system settings (“reference system”) was compared with data from the same system equipped with advanced image noise reduction algorithms combined with optimized system settings (“current system”). Procedure and dose data for the reference system and the current system were collected during January–June 2010 and January–June 2012, respectively. The same radiologists were employed and the same procedural techniques were used.
All examinations were performed on the same biplane flat panel detector angiography system (AlluraXper FD20/20 biplane; Philips Healthcare), equipped during the second part of the study with an image processing chain for noise reduction in DSA and fluoroscopy, combined with optimized system settings (AlluraClarity; Philips Healthcare).
The image processing chain uses several features to improve image quality. The real-time automatic pixel shift feature is used to reduce the anatomical structure noise which is introduced in the subtracted image by patient motion or accidental table motion. By minimizing this undesired noise source, quantum noise will become the dominant noise source in DSA images.
Another feature is the temporal averaging of consecutive images to create a combined mask and a combined live image. Temporal averaging will reduce the amount of temporally uncorrelated noise such as quantum noise. Contrast detection functionality will reveal changes in the iodine bolus location and prevent this from being “diluted” by the averaging.
In the spatial noise reduction feature, the first analysis phase aims to reveal the predominant signal structures in the image, which will be excluded from the low-pass spatial filter in the second phase. The combination of phases will smooth only the parts of the image which are considered featureless.
More details about the features are described in Söderman et al. [2].
Optimization of system settings for DSA acquired with the current system included typical tube voltage 75 kVp, additional 0.1 mm Cu+1 mm Al filter, detector dose of 0.7 μGy/fr on largest field of view and 0.4 mm focal spot size [2].
Depending on the average equivalent water thickness, the patient dose reduction for fluoroscopy, due to the low-exposure acquisition settings of the current system, can range from approximately 10% for small equivalent water thickness to approximately 50% for large equivalent water thickness, achieved, for example, with steeper projections. The average equivalent water thickness for the head is considered approximately 22 cm on the frontal plane and 18 cm for the lateral plane, over the full population range [3]. For this average water equivalent thickness, the expected patient dose reduction is 30%.
Patients were subjected to neuroangiography or endovascular treatment during the study periods. Patient demographics and procedure information were collected. Patients were categorized as being subjected to diagnostic or interventional procedures. Interventional procedures were further divided in subgroups: (a) arteriovenous malformation (AVM), (b) aneurysm, (c) stroke and (d) others.
Patient radiation dose indicators, quantified as (cumulative) dose area product (DAP) and cumulative air kerma (CAK), as well as acquisition parameters, such as number of DSA images, fluoroscopy time, procedure time, and number of DSA runs, were collected.
The equipment displayed the updated cumulative dose-area product (DAP), measured by the internal transmission ionization chambers (KermaX plus; IBA Dosimetry, Schwarzenbruck, Germany) configured in both planes.
The inherent dose-report system in the angiography equipment provided information, measured in Gy cm2, of DAP fluoroscopy, DAP exposure, and total DAP (sum of DAP fluoroscopy and DAP exposure). DAP exposure indicated the DAP for all DSA acquisitions stored in the system. CAK at the patient entrance reference point for frontal and lateral channels was provided in Gy. This information was sent via modality performance procedure step (MPPS) automatically to the radiology information system (RIS; Carestream, Vaughan, Canada)
The primary outcome of the study was radiation dose quantified as DAP and CAK. Secondary outcomes were fluoroscopy time, number of DSA images, number of DSA runs, and procedure duration.
Statistical analysis
Descriptive statistics were used to describe patient and procedure characteristics, with differences between reference and current system evaluated with one-way analysis of variance (ANOVA) models at a significance level of α=0.05. Differences in exposure between the reference and the current systems were compared using ANOVA with least square mean dose values, using an F-test. Secondary covariance analyses were performed for DAP, CAK, and acquisition measures (analysis of covariance) to determine potential impact of demographic differences or type of intervention.