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Monsef A, Sheikhzadeh P, Steiner JR, Sadeghi F, Yazdani M, Ghafarian P. Optimizing scan time and bayesian penalized likelihood reconstruction algorithm in copper-64 PET/CT imaging: a phantom study. Biomed Phys Eng Express 2024; 10:045019. [PMID: 38608316 DOI: 10.1088/2057-1976/ad3e00] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/12/2024] [Indexed: 04/14/2024]
Abstract
Objectives: The aim of this study was to evaluate Cu-64 PET phantom image quality using Bayesian Penalized Likelihood (BPL) and Ordered Subset Expectation Maximum with point-spread function modeling (OSEM-PSF) reconstruction algorithms. In the BPL, the regularization parameterβwas varied to identify the optimum value for image quality. In the OSEM-PSF, the effect of acquisition time was evaluated to assess the feasibility of shortened scan duration.Methods: A NEMA IEC PET body phantom was filled with known activities of water soluble Cu-64. The phantom was imaged on a PET/CT scanner and was reconstructed using BPL and OSEM-PSF algorithms. For the BPL reconstruction, variousβvalues (150, 250, 350, 450, and 550) were evaluated. For the OSEM-PSF algorithm, reconstructions were performed using list-mode data intervals ranging from 7.5 to 240 s. Image quality was assessed by evaluating the signal to noise ratio (SNR), contrast to noise ratio (CNR), and background variability (BV).Results: The SNR and CNR were higher in images reconstructed with BPL compared to OSEM-PSF. Both the SNR and CNR increased with increasingβ, peaking atβ= 550. The CNR for allβ, sphere sizes and tumor-to-background ratios (TBRs) satisfied the Rose criterion for image detectability (CNR > 5). BPL reconstructed images withβ= 550 demonstrated the highest improvement in image quality. For OSEM-PSF reconstructed images with list-mode data duration ≥ 120 s, the noise level and CNR were not significantly different from the baseline 240 s list-mode data duration.Conclusions: BPL reconstruction improved Cu-64 PET phantom image quality by increasing SNR and CNR relative to OSEM-PSF reconstruction. Additionally, this study demonstrated scan time can be reduced from 240 to 120 s when using OSEM-PSF reconstruction while maintaining similar image quality. This study provides baseline data that may guide future studies aimed to improve clinical Cu-64 imaging.
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Affiliation(s)
- Abbas Monsef
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, United States of America
- Department of Radiology, University of Minnesota Medical School, Minneapolis, United States of America
| | - Peyman Sheikhzadeh
- Department of Nuclear Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
| | - Joseph R Steiner
- Department of Radiology, University of Minnesota Medical School, Minneapolis, United States of America
| | - Fatemeh Sadeghi
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Pardis Ghafarian
- Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
- PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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2
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Muzi M, Peterson LM, Specht JM, Hippe DS, Novakova-Jiresova A, Lee JH, Kurland BF, Mankoff DA, Obuchowski N, Linden HM, Kinahan PE. Repeatability of 18F-FDG uptake in metastatic bone lesions of breast cancer patients and implications for accrual to clinical trials. EJNMMI Res 2024; 14:32. [PMID: 38536511 PMCID: PMC10973316 DOI: 10.1186/s13550-024-01093-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 03/06/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients that have bone-dominant metastases ineligible for clinical trials with potentially helpful therapies. In this study we prospectively evaluated the test-retest uptake variability of 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG) in a cohort of breast cancer patients with bone-dominant metastases to determine response criteria. The thresholds for 95% specificity of change versus no-change were then applied to a second cohort of breast cancer patients with bone-dominant metastases. METHODS For this study, nine patients with 38 bone lesions were imaged with 18F-FDG in the same calibrated scanner twice within 14 days. Tumor uptake was quantified by the most commonly used PET parameter, the maximum tumor voxel normalized by dose and body weight (SUVmax) and also by the mean of a 1-cc maximal uptake volume normalized by dose and lean-body-mass (SULpeak). The asymmetric repeatability coefficients with confidence intervals for SUVmax and SULpeak were used to determine the limits of 18F-FDG uptake variability. A second cohort of 28 breast cancer patients with bone-dominant metastases that had 146 metastatic bone lesions was imaged with 18F-FDG before and after standard-of-care therapy for response assessment. RESULTS The mean relative difference of SUVmax and SULpeak in 38 bone tumors of the first cohort were 4.3% and 6.7%. The upper and lower asymmetric limits of the repeatability coefficient were 19.4% and - 16.3% for SUVmax, and 21.2% and - 17.5% for SULpeak. 18F-FDG repeatability coefficient confidence intervals resulted in the following patient stratification using SULpeak for the second patient cohort: 11-progressive disease, 5-stable disease, 7-partial response, and 1-complete response with three inevaluable patients. The asymmetric repeatability coefficients response criteria for SULpeak changed the status of 3 patients compared to the standard Positron Emission Tomography Response Criteria in Solid Tumors of ± 30% SULpeak. CONCLUSION In evaluating bone tumor response for breast cancer patients with bone-dominant metastases using 18F-FDG SUVmax, the repeatability coefficients from test-retest studies show that reductions of more than 17% and increases of more than 20% are unlikely to be due to measurement variability. Serial 18F-FDG imaging in clinical trials investigating bone lesions in these patients, such as the ECOG-ACRIN EA1183 trial, benefit from confidence limits that allow interpretation of response.
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Affiliation(s)
- Mark Muzi
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA.
| | - Lanell M Peterson
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | - Jennifer M Specht
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | - Daniel S Hippe
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | | | - Jean H Lee
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | - Brenda F Kurland
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | | | | | - Hannah M Linden
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
| | - Paul E Kinahan
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, UW Box 356465, Seattle, Washington, 98195, USA
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3
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Muzi M, Peterson LM, Specht JM, Hippe DS, Novakova-Jiresova A, Lee JH, Kurland BF, Mankoff DA, Obuchowski N, Linden HM, Kinahan PE. Repeatability of 18F-FDG uptake in metastatic bone lesions of breast cancer patients and implications for accrual to clinical trials. RESEARCH SQUARE 2024:rs.3.rs-3818932. [PMID: 38313279 PMCID: PMC10836099 DOI: 10.21203/rs.3.rs-3818932/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
BACKGROUND Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients with bone-dominant metastases ineligible for clinical trials with potentially helpful therapies. In this study we prospectively evaluated the test-retest uptake variability of 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG) in a cohort of breast cancer patients with bone-dominant metastases to determine response criteria. The thresholds for 95% specificity of change versus no-change were then applied to a second cohort of breast cancer patients with bone-dominant metastases.In this study, nine patients with 38 bone lesions were imaged with 18F-FDG in the same calibrated scanner twice within 14 days. Tumor uptake was quantified as the maximum tumor voxel normalized by dose and body weight (SUVmax) and the mean of a 1-cc maximal uptake volume normalized by dose and lean-body-mass (SULpeak). The asymmetric repeatability coefficients with confidence intervals of SUVmax and SULpeak were used to determine limits of 18F-FDG uptake variability. A second cohort of 28 breast cancer patients with bone-dominant metastases that had 146 metastatic bone lesions was imaged with 18F-FDG before and after standard-of-care therapy for response assessment. RESULTS The mean relative difference of SUVmax in 38 bone tumors of the first cohort was 4.3%. The upper and lower asymmetric limits of the repeatability coefficient were 19.4% and -16.3%, respectively. The 18F-FDG repeatability coefficient confidence intervals resulted in the following patient stratification for the second patient cohort: 11-progressive disease, 5-stable disease, 7-partial response, and 1-complete response with three inevaluable patients. The asymmetric repeatability coefficients response criteria changed the status of 3 patients compared to standard the standard Positron Emission Tomography Response Criteria in Solid Tumors of ±30% SULpeak. CONCLUSIONS In evaluating bone tumor response for breast cancer patients with bone-dominant metastases using 18F-FDG uptake, the repeatability coefficients from test-retest studies show that reductions of more than 17% and increases of more than 20% are unlikely to be due to measurement variability. Serial 18F-FDG imaging in clinical trials investigating bone lesions from these patients, such as the ECOG-ACRIN EA1183 trial, benefit from confidence limits that allow interpretation of response.
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Affiliation(s)
- Mark Muzi
- University of Washington School of Medicine
| | | | | | | | | | - Jean H Lee
- University of Washington Department of Radiology
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Peehl DM, Badea CT, Chenevert TL, Daldrup-Link HE, Ding L, Dobrolecki LE, Houghton AM, Kinahan PE, Kurhanewicz J, Lewis MT, Li S, Luker GD, Ma CX, Manning HC, Mowery YM, O’Dwyer PJ, Pautler RG, Rosen MA, Roudi R, Ross BD, Shoghi KI, Sriram R, Talpaz M, Wahl RL, Zhou R. Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials. Tomography 2023; 9:657-680. [PMID: 36961012 PMCID: PMC10037611 DOI: 10.3390/tomography9020053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 03/19/2023] Open
Abstract
The availability of high-fidelity animal models for oncology research has grown enormously in recent years, enabling preclinical studies relevant to prevention, diagnosis, and treatment of cancer to be undertaken. This has led to increased opportunities to conduct co-clinical trials, which are studies on patients that are carried out parallel to or sequentially with animal models of cancer that mirror the biology of the patients' tumors. Patient-derived xenografts (PDX) and genetically engineered mouse models (GEMM) are considered to be the models that best represent human disease and have high translational value. Notably, one element of co-clinical trials that still needs significant optimization is quantitative imaging. The National Cancer Institute has organized a Co-Clinical Imaging Resource Program (CIRP) network to establish best practices for co-clinical imaging and to optimize translational quantitative imaging methodologies. This overview describes the ten co-clinical trials of investigators from eleven institutions who are currently supported by the CIRP initiative and are members of the Animal Models and Co-clinical Trials (AMCT) Working Group. Each team describes their corresponding clinical trial, type of cancer targeted, rationale for choice of animal models, therapy, and imaging modalities. The strengths and weaknesses of the co-clinical trial design and the challenges encountered are considered. The rich research resources generated by the members of the AMCT Working Group will benefit the broad research community and improve the quality and translational impact of imaging in co-clinical trials.
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Affiliation(s)
- Donna M. Peehl
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA; (J.K.); (R.S.)
| | - Cristian T. Badea
- Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA;
| | - Thomas L. Chenevert
- Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA; (T.L.C.); (G.D.L.); (B.D.R.)
| | - Heike E. Daldrup-Link
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA; (H.E.D.-L.); (R.R.)
| | - Li Ding
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (L.D.); (S.L.); (C.X.M.)
| | - Lacey E. Dobrolecki
- Advanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA;
| | | | - Paul E. Kinahan
- Department of Radiology, University of Washington, Seattle, WA 98105, USA;
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA; (J.K.); (R.S.)
| | - Michael T. Lewis
- Departments of Molecular and Cellular Biology and Radiology, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Shunqiang Li
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (L.D.); (S.L.); (C.X.M.)
| | - Gary D. Luker
- Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA; (T.L.C.); (G.D.L.); (B.D.R.)
- Department of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Cynthia X. Ma
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (L.D.); (S.L.); (C.X.M.)
| | - H. Charles Manning
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Yvonne M. Mowery
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC 27708, USA;
- Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC 27708, USA
| | - Peter J. O’Dwyer
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA; (P.J.O.); (M.A.R.); (R.Z.)
| | - Robia G. Pautler
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Mark A. Rosen
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA; (P.J.O.); (M.A.R.); (R.Z.)
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raheleh Roudi
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA; (H.E.D.-L.); (R.R.)
| | - Brian D. Ross
- Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA; (T.L.C.); (G.D.L.); (B.D.R.)
- Department of Biological Chemistry, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Kooresh I. Shoghi
- Mallinckrodt Institute of Radiology (MIR), Washington University School of Medicine, St. Louis, MO 63110, USA; (K.I.S.); (R.L.W.)
| | - Renuka Sriram
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA; (J.K.); (R.S.)
| | - Moshe Talpaz
- Division of Hematology/Oncology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA;
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Richard L. Wahl
- Mallinckrodt Institute of Radiology (MIR), Washington University School of Medicine, St. Louis, MO 63110, USA; (K.I.S.); (R.L.W.)
| | - Rong Zhou
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA; (P.J.O.); (M.A.R.); (R.Z.)
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
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5
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Fooladi M, Shirazi A, Sheikhzadeh P, Amirrashedi M, Ghahramani F, Cheki M, Khoobi M. Investigating the attenuating effect of telmisartan against radiation-induced intestinal injury using 18F-FDG micro-PET imaging. Int J Radiat Biol 2022; 99:446-458. [PMID: 35930426 DOI: 10.1080/09553002.2022.2110295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
BACKGROUND AND OBJECTIVE This study was aimed to investigate the ability of 18F-Fluro-deoxy-glucose (18F-FDG)-based micro-positron emission tomography (microPET) imaging to evaluate the efficacy of telmisartan, a highly selective angiotensin II receptor antagonist (ARA), in intestinal tissue recovery process after in vivo irradiation. METHODS Male Balb/c mice were randomly divided into four groups of control, telmisartan, irradiation, and telmisartan + irradiation. A solution of telmisartan in phosphate-buffered saline (PBS) was administered orally at 12 mg/kg body weight for seven consecutive days prior to whole body exposing to a single sub-lethal dose of 5 Gy X-rays. The mice were imaged using 18F-FDG microPET at 9 and 30 days post-irradiation. The 18F-FDG uptake in jejunum was determined according to the mean standardized uptake value (SUVmean) index. Tissues were also processed in similar time points for histological analysis. RESULTS The 18F-FDG microPET imaging confirmed the efficacy of telmisartan as a potent attenuating agent for ionizing radiation-induced injury of intestine in mice model. The results were also in line with the histological analysis indicating that pretreatment with telmisartan reduced damage to the villi, crypts, and intestinal mucosa compared with irradiated and non-treated group from day 9 to 30 after irradiation. CONCLUSION The results revealed that 18F-FDG microPET imaging could be a good candidate to replace time-consuming and invasive biological techniques for screening of radioprotective agents. These findings were also confirmed by histological examinations which indicated that telmisartan can effectively attenuates radiation injury caused by ionizing-irradiation.
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Affiliation(s)
- Masoomeh Fooladi
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Shirazi
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Peyman Sheikhzadeh
- Department of Nuclear Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Amirrashedi
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Ghahramani
- Radiotherapy-Oncology Center, Yas Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Cheki
- Department of Medical Imaging and Radiation Sciences, Faculty of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mehdi Khoobi
- Biomaterials Group, Pharmaceutical Sciences Research Center, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.,Department of Radiopharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
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Grey N, Silosky M, Lieu CH, Chin BB. Current status and future of targeted peptide receptor radionuclide positron emission tomography imaging and therapy of gastroenteropancreatic-neuroendocrine tumors. World J Gastroenterol 2022; 28:1768-1780. [PMID: 35633909 PMCID: PMC9099199 DOI: 10.3748/wjg.v28.i17.1768] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/07/2022] [Accepted: 03/27/2022] [Indexed: 02/06/2023] Open
Abstract
Theranostics is the highly targeted molecular imaging and therapy of tumors. Targeted peptide receptor radionuclide therapy has taken the lead in demonstrating the safety and effectiveness of this molecular approach to treating cancers. Metastatic, well-differentiated gastroenteropancreatic neuroendocrine tumors may be most effectively imaged and treated with DOTATATE ligands. We review the current practice, safety, advantages, and limitations of DOTATATE based theranostics. Finally, we briefly describe the exciting new areas of development and future directions of gastroenteropancreatic neuroendocrine tumor theranostics.
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Affiliation(s)
- Neil Grey
- Radiology-Nuclear Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, United States
| | - Michael Silosky
- Department of Radiology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, United States
| | - Christopher H Lieu
- Medical Oncology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, United States
| | - Bennett B Chin
- Department of Radiology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, United States
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Bergesio F, De Maggi A, Coronado M, Pardal E, Plaza R, Hernández AC, Sarandeses MDP, Cortes M, Setoain X, Simó M, Rotger A, Grande C, Caballero MD, Chauvie S. The 18F phantom clinical trials qualification for 18F-FDG-PET scanning adopted by GELTAMO (Grupo Español de Linfomas/Trasplante Autólogo de Médula Ósea). Rev Esp Med Nucl Imagen Mol 2021; 40:149-154. [PMID: 33485832 DOI: 10.1016/j.remn.2020.06.003] [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: 04/21/2020] [Revised: 06/04/2020] [Accepted: 06/10/2020] [Indexed: 11/25/2022]
Abstract
INTRODUCTION AND OBJECTIVES Since different PET/CT (Positron Emission Tomography/Computed Tomography) scanners give different qualitative readings, a program for clinical trial qualification (CTQ) is mandatory to guarantee a reliable and reproducible use of PET/CT in prospective multi-centre clinical trials. Within this work we will show the results carried out in performing CTQ in Spain. MATERIALS AND METHODS We set up, under the auspices of Grupo Español de Linfomas/Trasplante Autólogo de Médula Osea (GELTAMO), a CTQ program consisting of the acquisition and analysis of 18F uniformity and image quality phantoms for the reduction of inter-scanner variability (ISV). The ISV was estimated on background activity concentration (BAC) and sphere to background ratio (SBR) and defined as their 95% confidence level. RESULTS Twenty-six out of 27 (96%) scanners fulfilled the CTQ requirements. The CTQ was fulfilled at the first round in 27% of the cases, while in 38%, 15% and 20%, two, three or more than three iterations, were required, respectively. The mean CTQ time was (1.8 ± 1.4) months (range: 0.3-4.6). The ISV in BAC and SBR were 20.3% and 67.7%. CONCLUSIONS The CTQ proven to be a reliable tool to reduce ISV. This enabled to set-up clinical trials in which PET/CT was used to evaluate different clinical endpoints.
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Affiliation(s)
- Fabrizio Bergesio
- Medical Physics Division, Santa Croce e Carle Hospital, Cuneo, Italia
| | - Adriano De Maggi
- Medical Physics Division, Santa Croce e Carle Hospital, Cuneo, Italia
| | - Mónica Coronado
- Nuclear Medicine Department, Hospital Universitario La Paz, Madrid, España
| | | | - Rafael Plaza
- Radiophysics Unit, Hospital Universitario La Paz, Madrid, España
| | | | | | - Montserrat Cortes
- Nuclear Medicine Department-IDI, Hospital Universitario de Bellvitge-IDIBELL, Barcelona, España
| | - Xavier Setoain
- Nuclear Medicine Department, Hospital Clínic, Barcelona, España
| | - Marc Simó
- Nuclear Medicine Department, Hospital Universitario Vall d́Hebron, Barcelona, España
| | - Amanda Rotger
- Nuclear Medicine Department, Hospital Universitario Gregorio Marañón, Madrid, España
| | - Carlos Grande
- Haematology Department, Hospital Universitario Doce de Octubre, Madrid, España
| | | | - Stephane Chauvie
- Medical Physics Division, Santa Croce e Carle Hospital, Cuneo, Italia.
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Evaluation of primary breast cancers using dedicated breast PET and whole-body PET. Sci Rep 2020; 10:21930. [PMID: 33318514 PMCID: PMC7736887 DOI: 10.1038/s41598-020-78865-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 11/17/2020] [Indexed: 01/06/2023] Open
Abstract
Metabolic imaging of the primary breast tumor with 18F-fluorodeoxyglucose ([18F]FDG) PET may assist in predicting treatment response in the neoadjuvant chemotherapy (NAC) setting. Dedicated breast PET (dbPET) is a high-resolution imaging modality with demonstrated ability in highlighting intratumoral heterogeneity and identifying small lesions in the breast volume. In this study, we characterized similarities and differences in the uptake of [18F]FDG in dbPET compared to whole-body PET (wbPET) in a cohort of ten patients with biopsy-confirmed, locally advanced breast cancer at the pre-treatment timepoint. Patients received bilateral dbPET and wbPET following administration of 186 MBq and 307 MBq [18F]FDG on separate days, respectively. [18F]FDG uptake measurements and 20 radiomic features based on morphology, tumor intensity, and texture were calculated and compared. There was a fivefold increase in SULpeak for dbPET (median difference (95% CI): 4.0 mL−1 (1.8–6.4 mL−1), p = 0.006). Additionally, spatial heterogeneity features showed statistically significant differences between dbPET and wbPET. The higher [18F]FDG uptake in dbPET highlighted the dynamic range of this breast-specific imaging modality. Combining with the higher spatial resolution, dbPET may be able to detect treatment response in the primary tumor during NAC, and future studies with larger cohorts are warranted.
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Sanghera B, Fenwick A, Lowe G, Sullivan K, Wong WL. Radionuclide calibrator intercomparison study of clinical PET centres in England to a single traceable 68Ge syringe source. Nucl Med Commun 2020; 41:965-976. [PMID: 32796486 DOI: 10.1097/mnm.0000000000001241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The aim of this study was to characterize national variation in radionuclide calibrator activity response to a single National Institute of Standards and Technology (NIST) traceable reference Ge source used as a surrogate for F at clinical PET centres in England using National Physical Laboratory approved techniques. METHODS Readings from 20 instruments at 13 centres using local F and Ge factor settings were recorded with the source located in vial and syringe positions. Ten repeat measurements were conducted to investigate repeatability using % coefficient of variability (COV). Comparison ratios to investigate accuracy were made between calibrator responses and decay-corrected NISTref reference activity for syringe and vial position measurements. RESULTS The maximum %COV was 0.79%, while 90, 95 and 80% of calibrators conformed to 5% accuracy for F syringe, Ge syringe and Ge vial position readings, respectively. We revealed a trend towards reduced bias in measurements using Veenstra devices for F and using Capintec devices for Ge factor settings. CONCLUSIONS This study demonstrated good repeatability in local device measurements. In total, 70% of English calibrators tested and 88% of all measurements performed achieved 5% accuracy. While statistically significant bias was exhibited between different vendor equipment dependent upon radioisotope selected, our study recommends regular traceability checks for optimum instrument performance conducted within National Metrology Institutes guidelines.
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Affiliation(s)
- Bal Sanghera
- Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood
| | | | - Gerry Lowe
- Cancer Centre, Mount Vernon Hospital, Northwood
| | - Keith Sullivan
- Health Research Methods Unit, University of Hertfordshire, UK
| | - Wai-Lup Wong
- Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood
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Peterson LM, Kurland BF, Yan F, Jiresova AN, Gadi VK, Specht JM, Gralow JR, Schubert EK, Link JM, Krohn KA, Eary JF, Mankoff DA, Linden HM. 18F-Fluoroestradiol PET Imaging in a Phase II Trial of Vorinostat to Restore Endocrine Sensitivity in ER+/HER2- Metastatic Breast Cancer. J Nucl Med 2020; 62:184-190. [PMID: 32591490 DOI: 10.2967/jnumed.120.244459] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/27/2020] [Indexed: 12/23/2022] Open
Abstract
Histone deacetylase inhibitors (HDACIs) may overcome endocrine resistance in estrogen receptor-positive (ER+) metastatic breast cancer. We tested whether 18F-fluoroestradiol PET imaging would elucidate the pharmacodynamics of combination HDACIs and endocrine therapy. Methods: Patients with ER+/human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer with prior clinical benefit from endocrine therapy but later progression on aromatase inhibitor (AI) therapy were given vorinostat (400 mg daily) sequentially or simultaneously with AI. 18F-fluoroestradiol PET and 18F-FDG PET scans were performed at baseline, week 2, and week 8. Results: Eight patients were treated sequentially, and then 15 simultaneously. Eight patients had stable disease at week 8, and 6 of these 8 patients had more than 6 mo of stable disease. Higher baseline 18F-fluoroestradiol uptake was associated with longer progression-free survival. 18F-fluoroestradiol uptake did not systematically increase with vorinostat exposure, indicating no change in regional ER estradiol binding, and 18F-FDG uptake did not show a significant decrease, as would have been expected with tumor regression. Conclusion: Simultaneous HDACIs and AI dosing in patients with cancer resistant to AI alone showed clinical benefit (6 or more months without progression) in 4 of 10 evaluable patients. Higher 18F-fluoroestradiol PET uptake identified patients likely to benefit from combination therapy, but vorinostat did not change ER expression at the level of detection of 18F-fluoroestradiol PET.
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Affiliation(s)
- Lanell M Peterson
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Brenda F Kurland
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Fengting Yan
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Alena Novakova- Jiresova
- Department of Oncology, First Faculty of Medicine, Charles University and Thomayer Hospital, Prague, Czech Republic
| | - Vijayakrishna K Gadi
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington.,Clinical Research and Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jennifer M Specht
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Julie R Gralow
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Erin K Schubert
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeanne M Link
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, Oregon; and
| | - Kenneth A Krohn
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, Oregon; and
| | - Janet F Eary
- Cancer Imaging Program, National Cancer Institute, Bethesda, Maryland
| | - David A Mankoff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hannah M Linden
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
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11
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The impact of time-of-flight, resolution recovery, and noise modelling in reconstruction algorithms in non-solid-state detectors PET/CT scanners: - multi-centric comparison of activity recovery in a 68Ge phantom. Phys Med 2020; 75:85-91. [PMID: 32559650 DOI: 10.1016/j.ejmp.2020.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 05/04/2020] [Accepted: 06/01/2020] [Indexed: 11/21/2022] Open
Abstract
The reconstruction algorithms implemented on PET/CT scanners offer gain in activity recovery of small lesions at an extent that is not full known yet. METHODS: A cylindrical phantom with warm background and hot spheres filled with a 68Ge epoxy was acquired with four non-state-solid-detectors PET/CT scanners: mCT, Ingenuity TF, Discovery 710, and IQ. Images were reconstructed switching on and off time-of-flight (TOF), point spread function (PSF) modelling, and Bayesian penalised likelihood (BPL). Images were reconstructed with the default parameters recommended by the manufacturers. The recovery coefficient (RCmax), defined as the ratio of the measured maximum activity concentration in each sphere and the actual one, and the coefficient of variation (CoVBAC) defined as the ratio of the standard deviation and the average of background activity concentration were measured. RESULTS: While with IR alone, complete recovery of the activity concentration is achieved down to the 22 mm diameter's sphere, with TOF, TOF + PSF and BPL it is achieved down to the 17 mm diameter one. At smaller dimensions, the difference among the various studied reconstruction algorithms is substantial for the 13- and 17-mm diameters' spheres for all scanners and for all reconstructions with a considerable gain in RCmax when PSF and BPL are used. At 10 mm diameter's sphere the difference among the algorithms is significantly reduced, except for BPL which still guarantees a gain in RCmax.
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12
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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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13
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Kurland BF, Peterson LM, Shields AT, Lee JH, Byrd DW, Novakova-Jiresova A, Muzi M, Specht JM, Mankoff DA, Linden HM, Kinahan PE. Test-Retest Reproducibility of 18F-FDG PET/CT Uptake in Cancer Patients Within a Qualified and Calibrated Local Network. J Nucl Med 2018; 60:608-614. [PMID: 30361381 DOI: 10.2967/jnumed.118.209544] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 10/01/2018] [Indexed: 11/16/2022] Open
Abstract
Calibration and reproducibility of quantitative 18F-FDG PET measures are essential for adopting integral 18F-FDG PET/CT biomarkers and response measures in multicenter clinical trials. We implemented a multicenter qualification process using National Institute of Standards and Technology-traceable reference sources for scanners and dose calibrators, and similar patient and imaging protocols. We then assessed SUV in patient test-retest studies. Methods: Five 18F-FDG PET/CT scanners from 4 institutions (2 in a National Cancer Institute-designated Comprehensive Cancer Center, 3 in a community-based network) were qualified for study use. Patients were scanned twice within 15 d, on the same scanner (n = 10); different but same model scanners within an institution (n = 2); or different model scanners at different institutions (n = 11). SUVmax was recorded for lesions, and SUVmean for normal liver uptake. Linear mixed models with random intercept were fitted to evaluate test-retest differences in multiple lesions per patient and to estimate the concordance correlation coefficient. Bland-Altman plots and repeatability coefficients were also produced. Results: In total, 162 lesions (82 bone, 80 soft tissue) were assessed in patients with breast cancer (n = 17) or other cancers (n = 6). Repeat scans within the same institution, using the same scanner or 2 scanners of the same model, had an average difference in SUVmax of 8% (95% confidence interval, 6%-10%). For test-retest on different scanners at different sites, the average difference in lesion SUVmax was 18% (95% confidence interval, 13%-24%). Normal liver uptake (SUVmean) showed an average difference of 5% (95% confidence interval, 3%-10%) for the same scanner model or institution and 6% (95% confidence interval, 3%-11%) for different scanners from different institutions. Protocol adherence was good; the median difference in injection-to-acquisition time was 2 min (range, 0-11 min). Test-retest SUVmax variability was not explained by available information on protocol deviations or patient or lesion characteristics. Conclusion: 18F-FDG PET/CT scanner qualification and calibration can yield highly reproducible test-retest tumor SUV measurements. Our data support use of different qualified scanners of the same model for serial studies. Test-retest differences from different scanner models were greater; more resolution-dependent harmonization of scanner protocols and reconstruction algorithms may be capable of reducing these differences to values closer to same-scanner results.
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Affiliation(s)
- Brenda F Kurland
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lanell M Peterson
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Andrew T Shields
- Department of Radiology, University of Washington, Seattle, Washington; and
| | - Jean H Lee
- Department of Radiology, University of Washington, Seattle, Washington; and
| | - Darrin W Byrd
- Department of Radiology, University of Washington, Seattle, Washington; and
| | - Alena Novakova-Jiresova
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, Washington; and
| | - Jennifer M Specht
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - David A Mankoff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hannah M Linden
- Division of Medical Oncology, University of Washington/Seattle Cancer Care Alliance, Seattle, Washington
| | - Paul E Kinahan
- Department of Radiology, University of Washington, Seattle, Washington; and
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14
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Miwa K, Wagatsuma K, Iimori T, Sawada K, Kamiya T, Sakurai M, Miyaji N, Murata T, Sato E. Multicenter study of quantitative PET system harmonization using NIST-traceable 68Ge/ 68Ga cross-calibration kit. Phys Med 2018; 52:98-103. [PMID: 30139617 DOI: 10.1016/j.ejmp.2018.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/06/2018] [Accepted: 07/03/2018] [Indexed: 11/18/2022] Open
Abstract
PURPOSE The present study aimed to define the errors in SUV and demonstrate the feasibility of SUV harmonization among contemporary PET/CT scanners using a novel National Institute of Standards and Technology (NIST)-traceable 68Ge/68Ga source as the reference standard. METHODS We used 68Ge/68Ga dose calibrator and PET sources made with same batch of 68Ge/68Ga embedded in epoxy that is traceable to the NIST standard. Bias in the amount of radioactivity and the radioactive concentrations measured by the dose calibrators and PET/CT scanners, respectively, was determined at five Japanese sites. We adjusted optimal dial setting of the dose calibrators and PET reconstruction parameters to close the actual amount of radioactivity and the radioactive concentration, respectively, of the NIST-traceable 68Ge/68Ga sources to harmonize SUV. Errors in SUV before and after harmonization were then calculated at each site. RESULTS The average bias in the amount of radioactivity and the radioactive concentrations measured by dose calibrator and PET scanner was -4.94% and -12.22%, respectively, before, and -0.14% and -4.81%, respectively, after harmonization. Corresponding averaged errors in SUV measured under clinical conditions were underestimated by 7.66%, but improved by -4.70% under optimal conditions. CONCLUSION Our proposed method using an NIST-traceable 68Ge/68Ga source identified bias in values obtained using dose calibrators and PET scanners, and reduced SUV variability to within 5% across different models of PET scanners at five sites. Our protocol using a standard source has considerable potential for harmonizing the SUV when contemporary PET scanners are involved in multicenter studies.
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Affiliation(s)
- Kenta Miwa
- Department of Radiological Sciences, School of Health Science, International University of Health and Welfare, Tochigi, Japan.
| | - Kei Wagatsuma
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Takashi Iimori
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Koichi Sawada
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Takashi Kamiya
- Department of Medical Technology, Osaka University Hospital, Osaka, Japan
| | - Minoru Sakurai
- Clinical Imaging Center for Healthcare, Nippon Medical School, Tokyo, Japan
| | - Noriaki Miyaji
- Department of Nuclear Medicine, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Taisuke Murata
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Eisuke Sato
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Tokyo, Japan
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15
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Byrd D, Christopfel R, Arabasz G, Catana C, Karp J, Lodge MA, Laymon C, Moros EG, Budzevich M, Nehmeh S, Scheuermann J, Sunderland J, Zhang J, Kinahan P. Measuring temporal stability of positron emission tomography standardized uptake value bias using long-lived sources in a multicenter network. J Med Imaging (Bellingham) 2018; 5:011016. [PMID: 29322068 DOI: 10.1117/1.jmi.5.1.011016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 11/20/2017] [Indexed: 12/16/2022] Open
Abstract
Positron emission tomography (PET) is a quantitative imaging modality, but the computation of standardized uptake values (SUVs) requires several instruments to be correctly calibrated. Variability in the calibration process may lead to unreliable quantitation. Sealed source kits containing traceable amounts of [Formula: see text] were used to measure signal stability for 19 PET scanners at nine hospitals in the National Cancer Institute's Quantitative Imaging Network. Repeated measurements of the sources were performed on PET scanners and in dose calibrators. The measured scanner and dose calibrator signal biases were used to compute the bias in SUVs at multiple time points for each site over a 14-month period. Estimation of absolute SUV accuracy was confounded by bias from the solid phantoms' physical properties. On average, the intrascanner coefficient of variation for SUV measurements was 3.5%. Over the entire length of the study, single-scanner SUV values varied over a range of 11%. Dose calibrator bias was not correlated with scanner bias. Calibration factors from the image metadata were nearly as variable as scanner signal, and were correlated with signal for many scanners. SUVs often showed low intrascanner variability between successive measurements but were also prone to shifts in apparent bias, possibly in part due to scanner recalibrations that are part of regular scanner quality control. Biases of key factors in the computation of SUVs were not correlated and their temporal variations did not cancel out of the computation. Long-lived sources and image metadata may provide a check on the recalibration process.
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Affiliation(s)
- Darrin Byrd
- University of Washington, Department of Radiology, Seattle, Washington, United States
| | - Rebecca Christopfel
- University of Washington, Department of Radiology, Seattle, Washington, United States
| | - Grae Arabasz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States
| | - Joel Karp
- University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States
| | - Martin A Lodge
- Johns Hopkins University, Department of Radiology and Radiological Science, Baltimore, Maryland, United States
| | - Charles Laymon
- University of Pittsburgh, Presbyterian University Hospital, Department of Radiology, Pittsburgh, Pennsylvania, United States
| | | | | | - Sadek Nehmeh
- Weill Cornell Medical College, Department of Radiology, New York, United States
| | - Joshua Scheuermann
- University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States
| | - John Sunderland
- University of Iowa, Department of Radiology, Iowa City, Iowa, United States
| | - Jun Zhang
- The Ohio State University, Department of Radiology, Columbus, Ohio, United States
| | - Paul Kinahan
- University of Washington, Department of Radiology, Seattle, Washington, United States
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16
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Leproux A, O’Sullivan TD, Cerussi A, Durkin A, Hill B, Hylton N, Yodh AG, Carp SA, Boas D, Jiang S, Paulsen KD, Pogue B, Roblyer D, Yang W, Tromberg BJ. Performance assessment of diffuse optical spectroscopic imaging instruments in a 2-year multicenter breast cancer trial. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:121604. [PMID: 29389104 PMCID: PMC5995138 DOI: 10.1117/1.jbo.22.12.121604] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 07/10/2017] [Indexed: 05/19/2023]
Abstract
We present a framework for characterizing the performance of an experimental imaging technology, diffuse optical spectroscopic imaging (DOSI), in a 2-year multicenter American College of Radiology Imaging Network (ACRIN) breast cancer study (ACRIN-6691). DOSI instruments combine broadband frequency-domain photon migration with time-independent near-infrared (650 to 1000 nm) spectroscopy to measure tissue absorption and reduced scattering spectra and tissue hemoglobin, water, and lipid composition. The goal of ACRIN-6691 was to test the effectiveness of optically derived imaging endpoints in predicting the final pathologic response of neoadjuvant chemotherapy (NAC). Sixty patients were enrolled over a 2-year period at participating sites and received multiple DOSI scans prior to and during 3- to 6-month NAC. The impact of three sources of error on accuracy and precision, including different operators, instruments, and calibration standards, was evaluated using a broadband reflectance standard and two different solid tissue-simulating optical phantoms. Instruments showed <0.0010 mm−1 (10.3%) and 0.06 mm−1 (4.7%) deviation in broadband absorption and reduced scattering, respectively, over the 2-year duration of ACRIN-6691. These variations establish a useful performance criterion for assessing instrument stability. The proposed procedures and tests are not limited to DOSI; rather, they are intended to provide methods to characterize performance of any instrument used in translational optical imaging.
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Affiliation(s)
- Anaïs Leproux
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
| | - Thomas D. O’Sullivan
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
- University of Notre Dame, Department of Electrical Engineering, Notre Dame, Indiana, United States
| | - Albert Cerussi
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
| | - Amanda Durkin
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
| | - Brian Hill
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
| | - Nola Hylton
- University of California, Department of Radiology, San Francisco, California, United States
| | - Arjun G. Yodh
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
| | - Stefan A. Carp
- Massachusetts General Hospital, Harvard Medical School, Department of Radiology, Charlestown, Massachusetts, United States
| | - David Boas
- Massachusetts General Hospital, Harvard Medical School, Department of Radiology, Charlestown, Massachusetts, United States
| | - Shudong Jiang
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - Brian Pogue
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - Darren Roblyer
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Wei Yang
- University of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, Texas, United States
| | - Bruce J. Tromberg
- University of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States
- Address all correspondence to: Bruce J. Tromberg, E-mail:
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17
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Scheuermann JS, Reddin JS, Opanowski A, Kinahan PE, Siegel BA, Shankar LK, Karp JS. Qualification of National Cancer Institute-Designated Cancer Centers for Quantitative PET/CT Imaging in Clinical Trials. J Nucl Med 2017; 58:1065-1071. [PMID: 28254874 DOI: 10.2967/jnumed.116.186759] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 02/08/2017] [Indexed: 12/30/2022] Open
Abstract
The National Cancer Institute developed the Centers for Quantitative Imaging Excellence (CQIE) initiative in 2010 to prequalify imaging facilities at all of the National Cancer Institute-designated comprehensive and clinical cancer centers for oncology trials using advanced imaging techniques, including PET. Here we review the CQIE PET/CT scanner qualification process and results in detail. Methods: Over a period of approximately 5 y, sites were requested to submit a variety of phantoms, including uniform and American College of Radiology-approved phantoms, PET/CT images, and examples of clinical images. Submissions were divided into 3 distinct time periods: initial submission (T0) and 2 requalification submissions (T1 and T2). Images were analyzed using standardized procedures, and scanners received a pass or fail designation. Sites had the opportunity to submit new data for scanners that failed. Quantitative results were compared across scanners within a given time period and across time periods for a given scanner. Results: Data from 65 unique PET/CT scanners across 56 sites were submitted for CQIE T0 qualification; 64 scanners passed the qualification. Data from 44 (68%) of those 65 scanners were submitted for T2. From T0 to T2, the percentage of scanners passing the CQIE qualification on the first attempt rose from 38% for T1 to 67% for T2. The most common reasons for failure were SUV outside specifications, incomplete submission, and uniformity issues. Uniform phantom and American College of Radiology-approved phantom results between scanner manufacturers were similar. Conclusion: The results of the CQIE process showed that periodic requalification may decrease the frequency of deficient data submissions. The CQIE project also highlighted the concern within imaging facilities about the burden of maintaining different qualifications and accreditations. Finally, for quantitative imaging-based trials, further evaluation of the relationships between the level of the qualification (e.g., bias or precision) and the quality of the image data, accrual rates, and study power is needed.
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Affiliation(s)
| | - Janet S Reddin
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Adam Opanowski
- American College of Radiology Imaging Network, Philadelphia, Pennsylvania
| | - Paul E Kinahan
- Department of Radiology, University of Washington, Seattle, Washington
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology and Alvin J. Siteman Cancer Center, School of Medicine, Washington University, St. Louis, Missouri; and
| | - Lalitha K Shankar
- Cancer Imaging Program, National Cancer Institute, Rockville, Maryland
| | - Joel S Karp
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
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