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Bourigault P, Skwarski M, Macpherson RE, Higgins GS, McGowan DR. Timing of hypoxia PET/CT imaging after 18F-fluoromisonidazole injection in non-small cell lung cancer patients. Sci Rep 2022; 12:21746. [PMID: 36526815 PMCID: PMC9758119 DOI: 10.1038/s41598-022-26199-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Positron emission tomography (PET)/computed tomography (CT) using the radiotracer 18F-Fluoromisonidazole (FMISO) has been widely employed to image tumour hypoxia and is of interest to help develop novel hypoxia modifiers and guide radiation treatment planning. Yet, the optimal post-injection (p.i.) timing of hypoxic imaging remains questionable. Therefore, we investigated the correlation between hypoxia-related quantitative values in FMISO-PET acquired at 2 and 4 h p.i. in patients with non-small cell lung cancer (NSCLC). Patients with resectable NSCLC participated in the ATOM clinical trial (NCT02628080) which investigated the hypoxia modifying effects of atovaquone. Two-hour and four-hour FMISO PET/CT images acquired at baseline and pre-surgery visits (n = 58) were compared. Cohort 1 (n = 14) received atovaquone treatment, while cohort 2 (n = 15) did not. Spearman's rank correlation coefficients (ρ) assessed the relationship between hypoxia-related metrics, including standardised uptake value (SUV), tumour-to-blood ratio (TBR), and tumour hypoxic volume (HV) defined by voxels with TBR ≥ 1.4. As the primary imaging-related trial endpoint used to evaluate the action of atovaquone on tumour hypoxia in patients with NSCLC was change in tumour HV from baseline, this was also assessed in patients (n = 20) with sufficient baseline 2- and 4-h scan HV to reliably measure change (predefined as ≥ 1.5 mL). Tumours were divided into four subregions or distance categories: edge, outer, inner, and centre, using MATLAB. In tumours overall, strong correlation (P < 0.001) was observed for SUVmax ρ = 0.87, SUVmean ρ = 0.91, TBRmax ρ = 0.83 and TBRmean ρ = 0.81 between 2- and 4-h scans. Tumour HV was moderately correlated (P < 0.001) with ρ = 0.69 between 2- and 4-h scans. Yet, in tumour subregions, the correlation of HV decreased from the centre ρ = 0.71 to the edge ρ = 0.45 (P < 0.001). SUV, TBR, and HV values were consistently higher on 4-h scans than on 2-h scans, indicating better tracer-to-background contrast. For instance, for TBRmax, the mean, median, and interquartile range were 1.9, 1.7, and 1.6-2.0 2-h p.i., and 2.6, 2.4, and 2.0-3.0 4-h p.i., respectively. Our results support that FMISO-PET scans should be performed at 4 h p.i. to evaluate tumour hypoxia in NSCLC.Trial registration: ClinicalTrials.gov, NCT02628080. Registered 11/12/2015, https://clinicaltrials.gov/ct2/show/NCT02628080 .
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Affiliation(s)
| | - Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Geoff S Higgins
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK.
- Department of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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Bourigault P, Skwarski M, Macpherson RE, Higgins GS, McGowan DR. Investigation of atovaquone-induced spatial changes in tumour hypoxia assessed by hypoxia PET/CT in non-small cell lung cancer patients. EJNMMI Res 2021; 11:130. [PMID: 34964932 PMCID: PMC8716680 DOI: 10.1186/s13550-021-00871-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/03/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Tumour hypoxia promotes an aggressive tumour phenotype and enhances resistance to anticancer treatments. Following the recent observation that the mitochondrial inhibitor atovaquone increases tumour oxygenation in NSCLC, we sought to assess whether atovaquone affects tumour subregions differently depending on their level of hypoxia. METHODS Patients with resectable NSCLC participated in the ATOM trial (NCT02628080). Cohort 1 (n = 15) received atovaquone treatment, whilst cohort 2 (n = 15) did not. Hypoxia-related metrics, including change in mean tumour-to-blood ratio, tumour hypoxic volume, and fraction of hypoxic voxels, were assessed using hypoxia PET imaging. Tumours were divided into four subregions or distance categories: edge, outer, inner, and centre, using MATLAB. RESULTS Atovaquone-induced reduction in tumour hypoxia mostly occurred in the inner and outer tumour subregions, and to a lesser extent in the centre subregion. Atovaquone did not seem to act in the edge subregion, which was the only tumour subregion that was non-hypoxic at baseline. Notably, the most intensely hypoxic tumour voxels, and therefore the most radiobiologically resistant areas, were subject to the most pronounced decrease in hypoxia in the different subregions. CONCLUSIONS This study provides insights into the action of atovaquone in tumour subregions that help to better understand its role as a novel tumour radiosensitiser. TRIAL REGISTRATION ClinicalTrials.gov, NCT0262808. Registered 11th December 2015, https://clinicaltrials.gov/ct2/show/NCT02628080.
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Affiliation(s)
| | - Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Geoff S Higgins
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK.
- Department of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D, McCole M, Derham JL, Chu KY, Teoh E, Chauhan J, O'Reilly D, Harris BHL, Macklin PS, Bull JA, Green M, Rodriguez-Berriguete G, Prevo R, Folkes LK, Campo L, Ferencz P, Croal PL, Flight H, Qi C, Holmes J, O'Connor JPB, Gleeson FV, McKenna WG, Harris AL, Bulte D, Buffa FM, Macpherson RE, Higgins GS. Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non-Small Cell Lung Cancer. Clin Cancer Res 2021; 27:2459-2469. [PMID: 33597271 PMCID: PMC7611473 DOI: 10.1158/1078-0432.ccr-20-4128] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/17/2021] [Accepted: 02/11/2021] [Indexed: 01/11/2023]
Abstract
PURPOSE Tumor hypoxia fuels an aggressive tumor phenotype and confers resistance to anticancer treatments. We conducted a clinical trial to determine whether the antimalarial drug atovaquone, a known mitochondrial inhibitor, reduces hypoxia in non-small cell lung cancer (NSCLC). PATIENTS AND METHODS Patients with NSCLC scheduled for surgery were recruited sequentially into two cohorts: cohort 1 received oral atovaquone at the standard clinical dose of 750 mg twice daily, while cohort 2 did not. Primary imaging endpoint was change in tumor hypoxic volume (HV) measured by hypoxia PET-CT. Intercohort comparison of hypoxia gene expression signatures using RNA sequencing from resected tumors was performed. RESULTS Thirty patients were evaluable for hypoxia PET-CT analysis, 15 per cohort. Median treatment duration was 12 days. Eleven (73.3%) atovaquone-treated patients had meaningful HV reduction, with median change -28% [95% confidence interval (CI), -58.2 to -4.4]. In contrast, median change in untreated patients was +15.5% (95% CI, -6.5 to 35.5). Linear regression estimated the expected mean HV was 55% (95% CI, 24%-74%) lower in cohort 1 compared with cohort 2 (P = 0.004), adjusting for cohort, tumor volume, and baseline HV. A key pharmacodynamics endpoint was reduction in hypoxia-regulated genes, which were significantly downregulated in atovaquone-treated tumors. Data from multiple additional measures of tumor hypoxia and perfusion are presented. No atovaquone-related adverse events were reported. CONCLUSIONS This is the first clinical evidence that targeting tumor mitochondrial metabolism can reduce hypoxia and produce relevant antitumor effects at the mRNA level. Repurposing atovaquone for this purpose may improve treatment outcomes for NSCLC.
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Affiliation(s)
- Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Radiation Physics and Protection, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Elizabeth Belcher
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Francesco Di Chiara
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Dionisios Stavroulias
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Mark McCole
- Department of Cellular Pathology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Jennifer L Derham
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Kwun-Ye Chu
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Eugene Teoh
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Jagat Chauhan
- Ludwig Institute for Cancer Research Oxford, University of Oxford, Oxford, England, United Kingdom
| | - Dawn O'Reilly
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Benjamin H L Harris
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Philip S Macklin
- Nuffield Department of Medicine, University of Oxford, Oxford, England, United Kingdom
| | - Joshua A Bull
- Wolfson Centre for Mathematical Biology, University of Oxford, Oxford, England, United Kingdom
| | - Marcus Green
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | | | - Remko Prevo
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Lisa K Folkes
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Leticia Campo
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Petra Ferencz
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Paula L Croal
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Helen Flight
- Oncology Clinical Trials Office, Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Cathy Qi
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom
| | - Jane Holmes
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom
| | - James P B O'Connor
- Division of Cancer Sciences, University of Manchester, Manchester, England, United Kingdom
| | - Fergus V Gleeson
- Department of Radiology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - W Gillies McKenna
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Adrian L Harris
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Daniel Bulte
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Francesca M Buffa
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Geoff S Higgins
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom.
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
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McGowan DR, Skwarski M, Bradley KM, Campo L, Fenwick JD, Gleeson FV, Green M, Horne A, Maughan TS, McCole MG, Mohammed S, Muschel RJ, Ng SM, Panakis N, Prevo R, Strauss VY, Stuart R, Tacconi EMC, Vallis KA, McKenna WG, Macpherson RE, Higgins GS. Buparlisib with thoracic radiotherapy and its effect on tumour hypoxia: A phase I study in patients with advanced non-small cell lung carcinoma. Eur J Cancer 2019; 113:87-95. [PMID: 30991262 PMCID: PMC6522060 DOI: 10.1016/j.ejca.2019.03.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 03/11/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Pre-clinically, phosphoinositide 3-kinase (PI3K) inhibition radiosensitises tumours by increasing intrinsic radiosensitivity and by reducing tumour hypoxia. We assessed whether buparlisib, a class 1 PI3K inhibitor, can be safely combined with radiotherapy in patients with non-small cell lung carcinoma (NSCLC) and investigated its effect on tumour hypoxia. METHODS This was a 3 + 3 dose escalation and dose expansion phase I trial in patients with advanced NSCLC. Buparlisib dose levels were 50 mg, 80 mg and 100 mg once daily orally for 2 weeks, with palliative thoracic radiotherapy (20 Gy in 5 fractions) delivered during week 2. Tumour hypoxic volume (HV) was measured using 18F-fluoromisonidazole positron-emission tomography-computed tomography at baseline and following 1 week of buparlisib. RESULTS Twenty-one patients were recruited with 9 patients evaluable for maximum tolerated dose (MTD) analysis. No dose-limiting toxicity was reported; therefore, 100 mg was declared the MTD, and 10 patients received this dose in the expansion phase. Ninety-four percent of treatment-related adverse events were ≤grade 2 with fatigue (67%), nausea (24%) and decreased appetite (19%) most common per patient. One serious adverse event (grade 3 hypoalbuminaemia) was possibly related to buparlisib. No unexpected radiotherapy toxicity was reported. Ten (67%) of 15 patients evaluable for imaging analysis were responders with 20% median reduction in HV at the MTD. CONCLUSION This is the first clinical trial to combine a PI3K inhibitor with radiotherapy in NSCLC and investigate the effects of PI3K inhibition on tumour hypoxia. This combination was well tolerated and PI3K inhibition reduced hypoxia, warranting investigation into whether this novel class of radiosensitisers can improve radiotherapy outcomes.
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Affiliation(s)
- Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, United Kingdom; Radiation Physics and Protection, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, United Kingdom; Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Kevin M Bradley
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Leticia Campo
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - John D Fenwick
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Fergus V Gleeson
- Department of Oncology, University of Oxford, Oxford, United Kingdom; Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Marcus Green
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Amanda Horne
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Timothy S Maughan
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Mark G McCole
- Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Seid Mohammed
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Ruth J Muschel
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Stasya M Ng
- Oncology Clinical Trials Office, Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Niki Panakis
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Remko Prevo
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Victoria Y Strauss
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Robert Stuart
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Katherine A Vallis
- Department of Oncology, University of Oxford, Oxford, United Kingdom; Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - W Gillies McKenna
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Geoff S Higgins
- Department of Oncology, University of Oxford, Oxford, United Kingdom; Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
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McGowan DR, Skwarski M, Papiez BW, Macpherson RE, Gleeson FV, Schnabel JA, Higgins GS, Fenwick JD. Whole tumor kinetics analysis of 18F-fluoromisonidazole dynamic PET scans of non-small cell lung cancer patients, and correlations with perfusion CT blood flow. EJNMMI Res 2018; 8:73. [PMID: 30069753 PMCID: PMC6070455 DOI: 10.1186/s13550-018-0430-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 07/23/2018] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND To determine the relative abilities of compartment models to describe time-courses of 18F-fluoromisonidazole (FMISO) tumor uptake in patients with advanced stage non-small cell lung cancer (NSCLC) imaged using dynamic positron emission tomography (dPET), and study correlations between values of the blood flow-related parameter K1 obtained from fits of the models and an independent blood flow measure obtained from perfusion CT (pCT). NSCLC patients had a 45-min dynamic FMISO PET/CT scan followed by two static PET/CT acquisitions at 2 and 4-h post-injection. Perfusion CT scanning was then performed consisting of a 45-s cine CT. Reversible and irreversible two-, three- and four-tissue compartment models were fitted to 30 time-activity-curves (TACs) obtained for 15 whole tumor structures in 9 patients, each imaged twice. Descriptions of the TACs provided by the models were compared using the Akaike and Bayesian information criteria (AIC and BIC) and leave-one-out cross-validation. The precision with which fitted model parameters estimated ground-truth uptake kinetics was determined using statistical simulation techniques. Blood flow from pCT was correlated with K1 from PET kinetic models in addition to FMISO uptake levels. RESULTS An irreversible three-tissue compartment model provided the best description of whole tumor FMISO uptake time-courses according to AIC, BIC, and cross-validation scores totaled across the TACs. The simulation study indicated that this model also provided more precise estimates of FMISO uptake kinetics than other two- and three-tissue models. The K1 values obtained from fits of the irreversible three-tissue model correlated strongly with independent blood flow measurements obtained from pCT (Pearson r coefficient = 0.81). The correlation from the irreversible three-tissue model (r = 0.81) was stronger than that from than K1 values obtained from fits of a two-tissue compartment model (r = 0.68), or FMISO uptake levels in static images taken at time-points from tracer injection through to 4 h later (maximum at 2 min, r = 0.70). CONCLUSIONS Time-courses of whole tumor FMISO uptake by advanced stage NSCLC are described best by an irreversible three-tissue compartment model. The K1 values obtained from fits of the irreversible three-tissue model correlated strongly with independent blood flow measurements obtained from perfusion CT (r = 0.81).
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Affiliation(s)
- Daniel R. McGowan
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Radiation Physics and Protection, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
| | - Bartlomiej W. Papiez
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Ruth E. Macpherson
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Fergus V. Gleeson
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Julia A. Schnabel
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Geoff S. Higgins
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - John D. Fenwick
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
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Macpherson RE, Pratap S, Tyrrell H, Khonsari M, Wilson S, Gibbons M, Whitwell D, Giele H, Critchley P, Cogswell L, Trent S, Athanasou N, Bradley KM, Hassan AB. Retrospective audit of 957 consecutive 18F-FDG PET-CT scans compared to CT and MRI in 493 patients with different histological subtypes of bone and soft tissue sarcoma. Clin Sarcoma Res 2018; 8:9. [PMID: 30116519 PMCID: PMC6086048 DOI: 10.1186/s13569-018-0095-9] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 02/26/2018] [Indexed: 12/22/2022] Open
Abstract
Background The use of 18F-FDG PET–CT (PET–CT) is widespread in many cancer types compared to sarcoma. We report a large retrospective audit of PET–CT in bone and soft tissue sarcoma with varied grade in a single multi-disciplinary centre. We also sought to answer three questions. Firstly, the correlation between sarcoma sub-type and grade with 18FDG SUVmax, secondly, the practical uses of PET–CT in the clinical setting of staging (during initial diagnosis), restaging (new baseline prior to definitive intervention) and treatment response. Finally, we also attempted to evaluate the potential additional benefit of PET–CT over concurrent conventional CT and MRI. Methods A total of 957 consecutive PET–CT scans were performed in a single supra-regional centre in 493 sarcoma patients (excluding GIST) between 2007 and 2014. We compared, PET–CT SUVmax values in relation to histology and FNCCC grading. We compared PET–CT findings relative to concurrent conventional imaging (MRI and CT) in staging, restaging and treatment responses. Results High-grade (II/III) bone and soft tissue sarcoma correlated with high SUVmax, especially undifferentiated pleomorphic sarcoma, leiomyosarcoma, translocation induced sarcomas (Ewing, synovial, alveolar rhabdomyosarcoma), de-differentiated liposarcoma and osteosarcoma. Lower SUVmax values were observed in sarcomas of low histological grade (grade I), and in rare subtypes of intermediate grade soft tissue sarcoma (e.g. alveolar soft part sarcoma and solitary fibrous tumour). SUVmax variation was noted in malignant peripheral nerve sheath tumours, compared to the histologically benign plexiform neurofibroma, whereas PET–CT could clearly differentiate low from high-grade chondrosarcoma. We identified added utility of PET–CT in addition to MRI and CT in high-grade sarcoma of bone and soft tissues. An estimated 21% overall potential benefit was observed for PET–CT over CT/MRI, and in particular, in ‘upstaging’ of high-grade disease (from M0 to M1) where an additional 12% of cases were deemed M1 following PET–CT. Conclusions PET–CT in high-grade bone and soft tissue sarcoma can add significant benefit to routine CT/MRI staging. Further prospective and multi-centre evaluation of PET–CT is warranted to determine the actual predictive value and cost-effectiveness of PET–CT in directing clinical management of clinically complex and heterogeneous high-grade sarcomas.
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Affiliation(s)
- Ruth E Macpherson
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,2Department of Radiology, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Sarah Pratap
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,3Department of Oncology, Churchill Hospital, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Helen Tyrrell
- 3Department of Oncology, Churchill Hospital, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Mehrdad Khonsari
- 2Department of Radiology, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Shaun Wilson
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,5Department of Paediatric Oncology, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Max Gibbons
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Duncan Whitwell
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Henk Giele
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Paul Critchley
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Lucy Cogswell
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Sally Trent
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,3Department of Oncology, Churchill Hospital, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - Nick Athanasou
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,4Nuffield Orthopaedic Centre, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,6NIHR Musculoskeletal Biomedical Research Unit (Sarcoma Theme), Sarcoma and TYA Unit of the NHS Oncology Department, and Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, OX1 3RE UK
| | - Kevin M Bradley
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,2Department of Radiology, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK
| | - A Bassim Hassan
- 1Oxford Sarcoma Service (OxSarc), Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,3Department of Oncology, Churchill Hospital, Oxford University Hospitals Foundation Trust, Oxford, OX3 7LE UK.,6NIHR Musculoskeletal Biomedical Research Unit (Sarcoma Theme), Sarcoma and TYA Unit of the NHS Oncology Department, and Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, OX1 3RE UK
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McGowan DR, Macpherson RE, Hackett SL, Liu D, Gleeson FV, McKenna WG, Higgins GS, Fenwick JD. 18 F-fluoromisonidazole uptake in advanced stage non-small cell lung cancer: A voxel-by-voxel PET kinetics study. Med Phys 2017; 44:4665-4676. [PMID: 28644546 PMCID: PMC5600259 DOI: 10.1002/mp.12416] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 06/05/2017] [Accepted: 06/08/2017] [Indexed: 11/05/2022] Open
Abstract
PURPOSE The aim of this study was to determine the relative abilities of compartment models to describe time-courses of 18 F-fluoromisonidazole (FMISO) uptake in tumor voxels of patients with non-small cell lung cancer (NSCLC) imaged using dynamic positron emission tomography. Also to use fits of the best-performing model to investigate changes in fitted rate-constants with distance from the tumor edge. METHODS Reversible and irreversible two- and three-tissue compartment models were fitted to 24 662 individual voxel time activity curves (TACs) obtained from tumors in nine patients, each imaged twice. Descriptions of the TACs provided by the models were compared using the Akaike and Bayesian information criteria (AIC and BIC). Two different models (two- and three-tissue) were fitted to 30 measured voxel TACs to provide ground-truth TACs for a statistical simulation study. Appropriately scaled noise was added to each of the resulting ground-truth TACs, generating 1000 simulated noisy TACs for each ground-truth TAC. The simulation study was carried out to provide estimates of the accuracy and precision with which parameter values are determined, the estimates being obtained for both assumptions about the ground-truth kinetics. A BIC clustering technique was used to group the fitted rate-constants, taking into consideration the underlying uncertainties on the fitted rate-constants. Voxels were also categorized according to their distance from the tumor edge. RESULTS For uptake time-courses of individual voxels an irreversible two-tissue compartment model was found to be most precise. The simulation study indicated that this model had a one standard deviation precision of 39% for tumor fractional blood volumes and 37% for the FMISO binding rate-constant. Weighted means of fitted FMISO binding rate-constants of voxels in all tumors rose significantly with increasing distance from the tumor edge, whereas fitted fractional blood volumes fell significantly. When grouped using the BIC clustering, many centrally located voxels had high-fitted FMISO binding rate-constants and low rate-constants for tracer flow between the vasculature and tumor, both indicative of hypoxia. Nevertheless, many of these voxels had tumor-to-blood (TBR) values lower than the 1.4 level commonly expected for hypoxic tissues, possibly due to the low rate-constants for tracer flow between the vasculature and tumor cells in these voxels. CONCLUSIONS Time-courses of FMISO uptake in NSCLC tumor voxels are best analyzed using an irreversible two-tissue compartment model, fits of which provide more precise parameter values than those of a three-tissue model. Changes in fitted model parameter values indicate that levels of hypoxia rise with increasing distance from tumor edges. The average FMISO binding rate-constant is higher for voxels in tumor centers than in the next tumor layer out, but the average value of the more simplistic TBR metric is lower in tumor centers. For both metrics, higher values might be considered indicative of hypoxia, and the mismatch in this case is likely to be due to poor perfusion at the tumor center. Kinetics analysis of dynamic PET images may therefore provide more accurate measures of the hypoxic status of such regions than the simpler TBR metric, a hypothesis we are presently exploring in a study of tumor imaging versus histopathology.
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Affiliation(s)
- Daniel R. McGowan
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
- Radiation Physics and ProtectionOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Ruth E. Macpherson
- Department of RadiologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Sara L. Hackett
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
| | - Dan Liu
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
| | - Fergus V. Gleeson
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
- Department of RadiologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - W. Gillies McKenna
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
- Department of OncologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Geoff S. Higgins
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
- Department of OncologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - John D. Fenwick
- Cancer Research UK/MRC Oxford Institute for Radiation OncologyGray LaboratoriesDepartment of OncologyUniversity of OxfordOxfordUK
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McGowan DR, Macpherson RE, Bradley KM, Fenwick JD, Gleeson FV, Higgins GS. 18F-Misonidazole PET-CT scan detection of occult bone metastasis. Thorax 2016; 71:97. [PMID: 26349764 PMCID: PMC4678574 DOI: 10.1136/thoraxjnl-2015-207400] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 08/14/2015] [Indexed: 11/03/2022]
Affiliation(s)
- Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, UK Radiation Physics and Protection, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Kevin M Bradley
- Department of Radiology, Oxford University Hospitals NHS Trust, Oxford, UK
| | - John D Fenwick
- Department of Oncology, University of Oxford, Oxford, UK
| | - Fergus V Gleeson
- Department of Oncology, University of Oxford, Oxford, UK Department of Radiology, Oxford University Hospitals NHS Trust, Oxford, UK
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Teoh EJ, McGowan DR, Macpherson RE, Bradley KM, Gleeson FV. Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System. J Nucl Med 2015; 56:1447-52. [PMID: 26159585 PMCID: PMC4558942 DOI: 10.2967/jnumed.115.159301] [Citation(s) in RCA: 156] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 07/07/2015] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED Q.Clear, a Bayesian penalized-likelihood reconstruction algorithm for PET, was recently introduced by GE Healthcare on their PET scanners to improve clinical image quality and quantification. In this work, we determined the optimum penalization factor (beta) for clinical use of Q.Clear and compared Q.Clear with standard PET reconstructions. METHODS A National Electrical Manufacturers Association image-quality phantom was scanned on a time-of-flight PET/CT scanner and reconstructed using ordered-subset expectation maximization (OSEM), OSEM with point-spread function (PSF) modeling, and the Q.Clear algorithm (which also includes PSF modeling). Q.Clear was investigated for β (B) values of 100-1,000. Contrast recovery (CR) and background variability (BV) were measured from 3 repeated scans, reconstructed with the different algorithms. Fifteen oncology body (18)F-FDG PET/CT scans were reconstructed using OSEM, OSEM PSF, and Q.Clear using B values of 200, 300, 400, and 500. These were visually analyzed by 2 scorers and scored by rank against a panel of parameters (overall image quality; background liver, mediastinum, and marrow image quality; noise level; and lesion detectability). RESULTS As β is increased, the CR and BV decreases; Q.Clear generally gives a higher CR and lower BV than OSEM. For the smallest sphere reconstructed with Q.Clear B400, CR is 28.4% and BV 4.2%, with corresponding values for OSEM of 24.7% and 5.0%. For the largest hot sphere, Q.Clear B400 yields a CR of 75.2% and a BV of 3.8%, with corresponding values for OSEM of 64.4% and 4.0%. Scorer 1 and 2 ranked B400 as the preferred reconstruction in 13 of 15 (87%) and 10 of 15 (73%) cases. The least preferred reconstruction was OSEM PSF in all cases. In most cases, lesion detectability was highest ranked for B200, in 9 of 15 (67%) and 10 of 15 (73%), with OSEM PSF ranked lowest. Poor lesion detectability on OSEM PSF was seen in cases of mildly (18)F-FDG-avid mediastinal nodes in lung cancer and small liver metastases due to background noise. Conversely, OSEM PSF was ranked second highest for lesion detectability in most pulmonary nodule evaluation cases. The combined scores confirmed B400 to be the preferred reconstruction. CONCLUSION Our phantom measurement results demonstrate improved CR and reduced BV when using Q.Clear instead of OSEM. A β value of 400 is recommended for oncology body PET/CT using Q.Clear.
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Affiliation(s)
- Eugene J Teoh
- Department of Radiology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford, United Kingdom; and
| | - Daniel R McGowan
- Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford, United Kingdom; and Radiation Physics and Protection, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Ruth E Macpherson
- Department of Radiology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Kevin M Bradley
- Department of Radiology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Fergus V Gleeson
- Department of Radiology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford, United Kingdom; and
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Hazell TJ, Olver TD, Macpherson RE, Hamilton CD, Lemon PW. Sprint interval exercise elicits near maximal peak VO2 during repeated bouts with a rapid recovery within 2 minutes. J Sports Med Phys Fitness 2014; 54:750-756. [PMID: 25350032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
AIM We investigated the cardiorespiratory response during acute sprint interval exercise (SIE; 4 x 30 sec maximal efforts, each separated by 4 min recovery) vs. continuous endurance exercise (CEE; 30 min) at 70% VO2max. METHODS Oxygen consumption (VO2) and heart rate were measured in 8 males (age: 23±2.3 y, height: 181±6.4 cm, body mass: 78±8.6 kg, VO2max: 52±3.1 ml·kg-1·min-1, mean±SD). Pre-exercise diet was controlled. RESULTS AND CONCLUSION Total VO2 was greater with CEE vs. SIE (87.6±13.1 vs. 35.1±4.4 L O2) with small differences (P=0.06) in average heart rates (CEE: 157±10 bpm vs. SIE: 149±6 bpm) and peak heart rates (CEE: 166±10 vs. SIE: 173±6; P=0.14). VO2 increased during the sprint bouts (53-72% of VO2max) and attained near maximal values (84-96%) in the immediate recovery period (within 20 sec). Thereafter a rapid decrease occurred so that at 2 min of recovery VO2 was ~1.5 L/min (~38% VO2max). During the remaining 2 min of recovery VO2 declined more slowly to ~1.3 L/min or ~33% of VO2max. Similar heart rate responses with CEE and SIE and a greater VO2 during SIE suggest increased muscle oxygen extraction with SIE, which might explain the greater peripheral adaptations, observed previously with sprint vs. continuous training. The potential value of shorter recovery durations to SIE needs to be examined.
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Affiliation(s)
- T J Hazell
- Department of Kinesiology and Physical Education, Wilfried Laurier University Waterloo, Ontario, Canada -
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Payne MJ, Macpherson RE, Bradley KM, Hassan AB. Trabectedin in Advanced High-Grade Uterine Leiomyosarcoma: A Case Report Illustrating the Value of (18)FDG-PET-CT in Assessing Treatment Response. Case Rep Oncol 2014; 7:132-8. [PMID: 24707261 PMCID: PMC3975749 DOI: 10.1159/000355224] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
We report the case of a 60-year-old woman with metastatic high-grade uterine leiomyosarcoma who achieved a delayed response to second-line therapy with the marine-derived drug trabectedin (Yondelis(®), PharmaMar). We used 2-deoxy-2-[(18)F] fluorodeoxyglucose (FDG)-positron emission tomography (PET-CT) imaging as a tool for response monitoring in parallel with conventional re-staging according to Response Evaluation Criteria in Solid Tumours (RECIST) using computed tomography (CT). We illustrate the role of serial (18)FDG-PET-CT imaging in the functional assessment of tumour response. Three cycles after commencement of trabectedin treatment, a reduction of the maximum standardized uptake value (SUVmax) of the solid component of the pelvic mass was observed, indicating a cystic or necrotic response in the tumour to trabectedin. After 7 cycles of treatment, on (18)FDG-PET-CT there was clear evidence of ongoing disease improvement: the solid pelvic components were at worst stable, with an unchanged SUVmax, and possibly marginally reduced in size, while the pulmonary metastases had further reduced in size and become FDG negative; the bony metastases were stable. After a total of 13 cycles of treatment, administered over 13 months, the patient showed signs of progression on an (18)FDG-PET-CT scan. The safety profile of trabectedin remained manageable, showing no evidence of cumulative toxicity and being associated with a preserved quality of life. This report illustrates potential limitations of RECIST in response assessments and the critical role of serial (18)FDG-PET-CT imaging in assessing response to trabectedin treatment. Therefore, we propose that (18)FDG-PET-CT may improve the assessment of response to trabectedin in selected patients.
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Affiliation(s)
- M J Payne
- Department of Medical Oncology, Oxford Cancer and Haematology Centre, Oxford University Hospitals Trust, Churchill Hospital, Oxford, UK
| | - R E Macpherson
- Department of Radiology and Nuclear Medicine, Oxford University Hospitals Trust, Churchill Hospital, Oxford, UK
| | - K M Bradley
- Department of Radiology and Nuclear Medicine, Oxford University Hospitals Trust, Churchill Hospital, Oxford, UK
| | - A B Hassan
- Department of Medical Oncology, Oxford Cancer and Haematology Centre, Oxford University Hospitals Trust, Churchill Hospital, Oxford, UK
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Patel CN, Macpherson RE, Bradley KM. False-positive axillary lymphadenopathy due to silicone granuloma on FDG PET/CT. Eur J Nucl Med Mol Imaging 2010; 37:2405. [DOI: 10.1007/s00259-010-1607-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Accepted: 08/23/2010] [Indexed: 11/28/2022]
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