not meet the standard (cost, ALARA). ⢠Good news: way ahead of ... large impact on quantification. Reconstruction settings will be based on MC-QC results.
Otto S Hoekstra VU University Medical Centre, Amsterdam EORTC Imaging Group
Why is this important for us ? • Imaging field moves towards quantification • PET is the best quantitative procedure • PET still needs to qualify as prognostic and predictive biomarker, e.g. •
response evaluation
•
stratification for adjuvant therapy
• Concern: repeat baseline scans because initial scan did not meet the standard (cost, ALARA) • Good news: way ahead of competing technologies
FDG PET(-CT) EANM Procedure Guidelines for Tumour PET Imaging (1.0)
PET imaging / SUV uncertainties Technical factors – Relative calibration between PET scanner and dose calibrator (10%) – Residual activity in syringe (5%) – Incorrect synchronization of clocks (10%) – Injection vs calibration time (10%) – Quality of administration (50%)
Physics related factors – Scan acquisition parameters (15%) – Image reconstruction parameters (30%) – Use of contrast agents (15%) – ROI (50%)
Biological factors – Uptake period (15%) – Patient motion and breathing (30%) – Blood glucose levels (15%)
R. Boellaard 2009, J Nucl Med Supplement Issue 50: 11S
SUV 51-61 min normalised to weight scan 1
Why do we need a guideline for quantitative FDG PET ?
16.00000
12.00000
8.00000
4.00000
0
1
2
3
Hospital
Recent (2009) observation on site differences in SUV -Site 1 & 2 closely followed NL standardized protocol -Site 3 did not – almost factor 2 lower SUV on average
The EANM guideline for FDG PET(-CT) provides recommendations for:
Minimizing physiological or biological effects by patient preparation guidelines Procedures to ensure accurate FDG administration Matching of PET study statistics (‘image quality’) by prescribing FDG dosage as function of patient weight, type of scanner, acquisition mode and scan duration Matching of image resolution by specifying image reconstruction settings and providing activity concentration recovery coefficients specifications (QC experiment) Standardization of data analysis by prescribing region of interest strategies and SUV measures Multi-center QC/QA procedures for PET and PET/CT scanners
Factors affecting SUV biological factors – uptake period
Lowe VJ et al. Optimum scanning protocol?for FDG-PET evaluation of pulmonary malignancy. J Nucl Med. 1995
FDG dosage and acquisition ‘image quality and quantification’
Dosage and acquisition definitions aim at matching NEC (statistics, ‘image quality’) across scanners/institutes (to avoid upward bias in SUV). Dosage is given as function of patient weight, scan mode, bed overlap and scan duration.
Image reconstruction Defined reconstruction settings aim at matching final image resolution (~7 mm FWHM=PET/CT) / convergence / contrast recovery across scanners, as this aspect has a large impact on quantification. Reconstruction settings will be based on MC-QC results Effects of different number of OSEM iterations, as seen in the Netherlands, on SUV
SUVmax = 4.0 SUV 50%= 3.0
5.9 4.1
6.4 4.6
8.6 5.9
Good imaging practice visually optimal
together with
quantitatively optimal
Multi-center QC and calibration
1. Daily QC conform standard procedure of system / manufacturer 2. Calibration QC using (cylindrical) phantom (15-30cm diameter) 3. “Adjusted” NEMA NU 2-2001 Image Quality procedure/measurement to measure recovery coefficients as function of sphere size (= ‘effective image resolution’) 4. CT-QC cf recommendations of ESR/national law 5. Misc. QC (e.g. for scales, alignment etc)
Absolute activity concentration recoveries – NEMA NU 2 2001 IQ Phantom
w/o
with standardisation
Activity concentration recovery
1.000
Recovery coefficient
1.00
0.800
0.75
0.600
0.50 0.400
0.25
0.200 avg
0.00
0.000
0
2
4
6
8
Sphere volume (ml)
10
12
0.1
1
10
100
‘ phantom war ’ upcoming ? • NEMA: handling -, range of spheres ++ • ACR • SNM: handling ++, few spheres calibrations underway you do not need a physicist, any tech can do this after instruction
Effects of central QA and data analysis (SUVmax) QA, central read
100
100
75
75
50
50
25
25
0 -25
0
5
10
15
20
% TRT
% TRT
All, local read
0 -25
-50
-50
-75
-75
-100
-100 Average SUV
Centralized QA mainly removes outliers
0
5
10
Average SUV
15
20
EORTC imaging group activities (as a sequel to NL HOVON initiative – Zijlstra et al.)
- implement guideline (SOP, QA/QC) with EANM - keosys platform - proposal to EANM: -regional / national coordinators -accreditation
UK multi-centre PET clinical trials network Multi-centre trials network operating since 2002 Informal network set up by St Thomas’ PET Centre FDG PET only 3 Studies completed / 2 in progress / 2 in preparation Accreditation and QC procedures Standardised data acquisition / analysis Anonymised data transfer Centralised or local reporting
Future developments Adoption of trials network by UK National Cancer Research Institute (NCRI) Develop audit processes Improved IT infrastructure Introduce new tracers
Courtesy of M. O’Doherty
Currently ~21 accredited sites
Status of multi-centre calibration in NL
QC studies performed in ~ 23 sites Disapproved 3 : deviation > 30% (1 corrected) 1 : deviation of ~ 15% Approved 8 : deviation of 5 to 7% 11: deviation < 5%
quantification = benefit, for patients & science Otto S Hoekstra VU University Medical Centre, Amsterdam EORTC Imaging Group
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