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Sipilä O, Liukkonen J, Halme HL, Tolvanen T, Sohlberg A, Hakulinen M, Manninen AL, Tahvanainen K, Tunninen V, Ollikainen T, Kangasmaa T, Kangasmäki A, Vuorela J. Variability in PET image quality and quantification measured with a permanently filled 68Ge-phantom: a multi-center study. EJNMMI Phys 2023; 10:38. [PMID: 37322376 DOI: 10.1186/s40658-023-00551-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND This study evaluated, as a snapshot, the variability in quantification and image quality (IQ) of the clinically utilized PET [18F]FDG whole-body protocols in Finland using a NEMA/IEC IQ phantom permanently filled with 68Ge. METHODS The phantom was imaged on 14 PET-CT scanners, including a variety of models from two major vendors. The variability of the recovery coefficients (RCmax, RCmean and RCpeak) of the hot spheres as well as percent background variability (PBV), coefficient of variation of the background (COVBG) and accuracy of corrections (AOC) were studied using images from clinical and standardized protocols with 20 repeated measurements. The ranges of the RCs were also compared to the limits of the EARL 18F standards 2 accreditation (EARL2). The impact of image noise on these parameters was studied using averaged images (AVIs). RESULTS The largest variability in RC values of the routine protocols was found for the RCmax with a range of 68% and with 10% intra-scanner variability, decreasing to 36% when excluding protocols with suspected cross-calibration failure or without point-spread-function (PSF) correction. The RC ranges of individual hot spheres in routine or standardized protocols or AVIs fulfilled the EARL2 ranges with two minor exceptions, but fulfilling the exact EARL2 limits for all hot spheres was variable. RCpeak was less dependent on averaging and reconstruction parameters than RCmax and RCmean. The PBV, COVBG and AOC varied between 2.3-11.8%, 9.6-17.8% and 4.8-32.0%, respectively, for the routine protocols. The RC ranges, PBV and COVBG were decreased when using AVIs. With AOC, when excluding routine protocols without PSF correction, the maximum value dropped to 15.5%. CONCLUSION The maximum variability of the RC values for the [18F]FDG whole-body protocols was about 60%. The RC ranges of properly cross-calibrated scanners with PSF correction fitted to the EARL2 RC ranges for individual sphere sizes, but fulfilling the exact RC limits would have needed further optimization. RCpeak was the most robust RC measure. Besides COVBG, also RCs and PVB were sensitive to image noise.
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Affiliation(s)
- O Sipilä
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, P. O. Box 442, 00029, Helsinki, Finland.
| | - J Liukkonen
- Radiation and Nuclear Safety Authority, Vantaa, Finland
| | - H-L Halme
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, P. O. Box 442, 00029, Helsinki, Finland
| | - T Tolvanen
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - A Sohlberg
- Department of Nuclear Medicine, Päijät-Häme Central Hospital, Lahti, Finland
| | - M Hakulinen
- Department of Clinical Physiology and Nuclear Medicine, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - A-L Manninen
- OYS Department of Nuclear Medicine and Radiology, Oulu University Hospital, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - K Tahvanainen
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University Hospital and University of Helsinki, P. O. Box 442, 00029, Helsinki, Finland
| | - V Tunninen
- Department of Clinical Physiology and Nuclear Medicine, Satakunta Central Hospital, Pori, Finland
| | - T Ollikainen
- Clinical Physiology and Neurophysiology, North Karelia Central Hospital, Joensuu, Finland
| | - T Kangasmaa
- Department of Clinical Physiology and Nuclear Medicine, Vaasa Central Hospital, Wellbeing Services County of Ostrobothnia, Vaasa, Finland
| | - A Kangasmäki
- Department of Imaging and Radiotherapy, Docrates Cancer Center, Helsinki, Finland
| | - J Vuorela
- Clinical Physiology and Nuclear Medicine, Central Finland Health Care District, Jyväskylä, Finland
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Klein R, Oliver M, La Russa D, Agapito J, Gaede S, Bissonnette J, Rahmim A, Uribe C. COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning. J Appl Clin Med Phys 2022; 23:e13785. [PMID: 36208131 PMCID: PMC9797167 DOI: 10.1002/acm2.13785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 07/15/2022] [Accepted: 08/16/2022] [Indexed: 01/01/2023] Open
Abstract
Positron emission tomography with x-ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP. Based on a review of the literature, it compiles a list of recommended tests, performance frequencies, and tolerances, as well as references to documents detailing how to perform each test. The report was commissioned by the Canadian Organization of Medical Physicists as part of the Canadian Partnership for Quality Radiotherapy initiative.
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Affiliation(s)
- Ran Klein
- Department of Nuclear MedicineThe Ottawa HospitalOttawaCanada
| | | | - Dan La Russa
- Radiation Medicine ProgramThe Ottawa HospitalCanada
| | - John Agapito
- Department of Medical PhysicsWindsor Regional HospitalWindsorCanada
| | - Stewart Gaede
- London Regional Cancer ProgramLondon Health Sciences CentreLondonCanada
| | | | - Arman Rahmim
- Functional ImagingBC Cancer AgencyVancouverCanada
| | - Carlos Uribe
- Functional ImagingBC Cancer AgencyVancouverCanada
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Byrd DW, Sunderland JJ, Lee TC, Kinahan PE. Bias in PET Images of Solid Phantoms Due to CT-Based Attenuation Correction. ACTA ACUST UNITED AC 2020; 5:154-160. [PMID: 30854453 PMCID: PMC6403023 DOI: 10.18383/j.tom.2018.00043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The use of computed tomography (CT) images to correct for photon attenuation in positron emission tomography (PET) produces unbiased patient images, but it is not optimal for synthetic materials. For test objects made from epoxy, image bias and artifacts have been observed in well-calibrated PET/CT scanners. An epoxy used in commercially available sources was infused with long-lived 68Ge/68Ga nuclide and measured on several PET/CT scanners as well as on older PET scanners that measured attenuation with 511-keV photons. Bias in attenuation maps and PET images of phantoms was measured as imaging parameters and methods varied. Changes were made to the PET reconstruction to show the influence of CT-based attenuation correction. Additional attenuation measurements were made with a new epoxy intended for use in radiology and radiation treatment whose photonic properties mimic water. PET images of solid phantoms were biased by between 3% and 24% across variations in CT X-ray energy and scanner manufacturer. Modification of the reconstruction software reduced bias, but object-dependent changes were required to generate accurate attenuation maps. The water-mimicking epoxy formulation showed behavior similar to water in limited testing. For some solid phantoms, transformation of CT data to attenuation maps is a major source of PET image bias. The transformation can be modified to accommodate synthetic materials, but our data suggest that the problem may also be addressed by using epoxy formulations that are more compatible with PET/CT imaging.
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Affiliation(s)
- Darrin W Byrd
- Department of Radiology, University of Washington, Seattle, WA; and
| | | | - Tzu-Cheng Lee
- Department of Radiology, University of Washington, Seattle, WA; and
| | - Paul E Kinahan
- Department of Radiology, University of Washington, Seattle, WA; and
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Kinahan PE, Byrd DW, Helba B, Wangerin KA, Liu X, Levy JR, Allberg KC, Krishnan K, Avila RS. Simultaneous Estimation of Bias and Resolution in PET Images With a Long-Lived "Pocket" Phantom System. ACTA ACUST UNITED AC 2018; 4:33-41. [PMID: 29984312 PMCID: PMC6024432 DOI: 10.18383/j.tom.2018.00004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
A challenge in multicenter trials that use quantitative positron emission tomography (PET) imaging is the often unknown variability in PET image values, typically measured as standardized uptake values, introduced by intersite differences in global and resolution-dependent biases. We present a method for the simultaneous monitoring of scanner calibration and reconstructed image resolution on a per-scan basis using a PET/computed tomography (CT) "pocket" phantom. We use simulation and phantom studies to optimize the design and construction of the PET/CT pocket phantom (120 × 30 × 30 mm). We then evaluate the performance of the PET/CT pocket phantom and accompanying software used alongside an anthropomorphic phantom when known variations in global bias (±20%, ±40%) and resolution (3-, 6-, and 12-mm postreconstruction filters) are introduced. The resulting prototype PET/CT pocket phantom design uses 3 long-lived sources (15-mm diameter) containing germanium-68 and a CT contrast agent in an epoxy matrix. Activity concentrations varied from 30 to 190 kBq/mL. The pocket phantom software can accurately estimate global bias and can detect changes in resolution in measured phantom images. The pocket phantom is small enough to be scanned with patients and can potentially be used on a per-scan basis for quality assurance for clinical trials and quantitative PET imaging in general. Further studies are being performed to evaluate its performance under variations in clinical conditions that occur in practice.
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Affiliation(s)
- Paul E Kinahan
- Imaging Research Laboratory, University of Washington, Seattle, WA
| | - Darrin W Byrd
- Imaging Research Laboratory, University of Washington, Seattle, WA
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Peterson LM, O'Sullivan J, Wu QV, Novakova-Jiresova A, Jenkins I, Lee JH, Shields A, Montgomery S, Linden HM, Gralow J, Gadi VK, Muzi M, Kinahan P, Mankoff D, Specht JM. Prospective Study of Serial 18F-FDG PET and 18F-Fluoride PET to Predict Time to Skeletal-Related Events, Time to Progression, and Survival in Patients with Bone-Dominant Metastatic Breast Cancer. J Nucl Med 2018; 59:1823-1830. [PMID: 29748233 DOI: 10.2967/jnumed.118.211102] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 04/30/2018] [Indexed: 12/16/2022] Open
Abstract
Assessing therapy response of breast cancer bone metastases is challenging. In retrospective studies, serial 18F-FDG PET was predictive of time to skeletal-related events (tSRE) and time to progression (TTP). 18F-NaF PET improves bone metastasis detection compared with bone scanning. We prospectively tested 18F-FDG PET and 18F-NaF PET to predict tSRE, TTP, and overall survival (OS) in patients with bone-dominant metastatic breast cancer (MBC). Methods: Patients with bone-dominant MBC were imaged with 18F-FDG PET and 18F-NaF PET before starting new therapy (scan1) and again at a range of times centered around approximately 4 mo later (scan2). Maximum standardized uptake value (SUVmax) and lean body mass adjusted standardized uptake (SULpeak) were recorded for a single index lesion and up to 5 most dominant lesions for each scan. tSRE, TTP, and OS were assessed exclusive of the PET images. Univariate Cox regression was performed to test the association between clinical endpoints and 18F-FDG PET and 18F-NaF PET measures. mPERCIST (Modified PET Response Criteria in Solid Tumors) were also applied. Survival curves for mPERCIST compared response categories of complete response+partial response+stable disease versus progressive disease for tSRE, TTP, and OS. Results: Twenty-eight patients were evaluated. Higher 18F-FDG SULpeak at scan2 predicted shorter time to tSRE (P = <0.001) and TTP (P = 0.044). Higher 18F-FDG SUVmax at scan2 predicted a shorter time to tSRE (P = <0.001). A multivariable model using 18F-FDG SUVmax of the index lesion at scan1 plus the difference in SUVmax of up to 5 lesions between scans was predictive for tSRE and TTP. Among 24 patients evaluable by 18F-FDG PET mPERCIST, tSRE and TTP were longer in responders (complete response, partial response, or stable disease) than in nonresponders (progressive disease) (P = 0.007, 0.028, respectively), with a trend toward improved survival (P = 0.1). An increase in the uptake between scans of up to 5 lesions by 18F-NaF PET was associated with longer OS (P = 0.027). Conclusion: Changes in 18F-FDG PET parameters during therapy are predictive of tSRE and TTP, but not OS. mPERCIST evaluation in bone lesions may be useful in assessing response to therapy and is worthy of evaluation in multicenter, prospective trials. Serial 18F-NaF PET was associated with OS but was not useful for predicting TTP or tSRE in bone-dominant MBC.
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Affiliation(s)
- Lanell M Peterson
- Division of Medical Oncology, University of Washington, Seattle, Washington
| | - Janet O'Sullivan
- Department of Statistics, University College Cork, Cork, Ireland
| | - Qian Vicky Wu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Isaac Jenkins
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jean H Lee
- Department of Radiology, University of Washington, Seattle, Washington
| | - Andrew Shields
- Department of Radiology, University of Washington, Seattle, Washington
| | | | - Hannah M Linden
- Division of Medical Oncology, University of Washington, Seattle, Washington.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Julie Gralow
- Division of Medical Oncology, University of Washington, Seattle, Washington.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Vijayakrishna K Gadi
- Division of Medical Oncology, University of Washington, Seattle, Washington.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, Washington
| | - Paul Kinahan
- Department of Radiology, University of Washington, Seattle, Washington
| | - David Mankoff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jennifer M Specht
- Division of Medical Oncology, University of Washington, Seattle, Washington.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
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