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Gilbert FJ, Harris S, Miles KA, Weir-McCall JR, Qureshi NR, Rintoul RC, Dizdarevic S, Pike L, Sinclair D, Shah A, Eaton R, Clegg A, Benedetto V, Hill JE, Cook A, Tzelis D, Vale L, Brindle L, Madden J, Cozens K, Little LA, Eichhorst K, Moate P, McClement C, Peebles C, Banerjee A, Han S, Poon FW, Groves AM, Kurban L, Frew AJ, Callister ME, Crosbie P, Gleeson FV, Karunasaagarar K, Kankam O, George S. Dynamic contrast-enhanced CT compared with positron emission tomography CT to characterise solitary pulmonary nodules: the SPUtNIk diagnostic accuracy study and economic modelling. Health Technol Assess 2022; 26:1-180. [PMID: 35289267 DOI: 10.3310/wcei8321] [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] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Current pathways recommend positron emission tomography-computerised tomography for the characterisation of solitary pulmonary nodules. Dynamic contrast-enhanced computerised tomography may be a more cost-effective approach. OBJECTIVES To determine the diagnostic performances of dynamic contrast-enhanced computerised tomography and positron emission tomography-computerised tomography in the NHS for solitary pulmonary nodules. Systematic reviews and a health economic evaluation contributed to the decision-analytic modelling to assess the likely costs and health outcomes resulting from incorporation of dynamic contrast-enhanced computerised tomography into management strategies. DESIGN Multicentre comparative accuracy trial. SETTING Secondary or tertiary outpatient settings at 16 hospitals in the UK. PARTICIPANTS Participants with solitary pulmonary nodules of ≥ 8 mm and of ≤ 30 mm in size with no malignancy in the previous 2 years were included. INTERVENTIONS Baseline positron emission tomography-computerised tomography and dynamic contrast-enhanced computer tomography with 2 years' follow-up. MAIN OUTCOME MEASURES Primary outcome measures were sensitivity, specificity and diagnostic accuracy for positron emission tomography-computerised tomography and dynamic contrast-enhanced computerised tomography. Incremental cost-effectiveness ratios compared management strategies that used dynamic contrast-enhanced computerised tomography with management strategies that did not use dynamic contrast-enhanced computerised tomography. RESULTS A total of 380 patients were recruited (median age 69 years). Of 312 patients with matched dynamic contrast-enhanced computer tomography and positron emission tomography-computerised tomography examinations, 191 (61%) were cancer patients. The sensitivity, specificity and diagnostic accuracy for positron emission tomography-computerised tomography and dynamic contrast-enhanced computer tomography were 72.8% (95% confidence interval 66.1% to 78.6%), 81.8% (95% confidence interval 74.0% to 87.7%), 76.3% (95% confidence interval 71.3% to 80.7%) and 95.3% (95% confidence interval 91.3% to 97.5%), 29.8% (95% confidence interval 22.3% to 38.4%) and 69.9% (95% confidence interval 64.6% to 74.7%), respectively. Exploratory modelling showed that maximum standardised uptake values had the best diagnostic accuracy, with an area under the curve of 0.87, which increased to 0.90 if combined with dynamic contrast-enhanced computerised tomography peak enhancement. The economic analysis showed that, over 24 months, dynamic contrast-enhanced computerised tomography was less costly (£3305, 95% confidence interval £2952 to £3746) than positron emission tomography-computerised tomography (£4013, 95% confidence interval £3673 to £4498) or a strategy combining the two tests (£4058, 95% confidence interval £3702 to £4547). Positron emission tomography-computerised tomography led to more patients with malignant nodules being correctly managed, 0.44 on average (95% confidence interval 0.39 to 0.49), compared with 0.40 (95% confidence interval 0.35 to 0.45); using both tests further increased this (0.47, 95% confidence interval 0.42 to 0.51). LIMITATIONS The high prevalence of malignancy in nodules observed in this trial, compared with that observed in nodules identified within screening programmes, limits the generalisation of the current results to nodules identified by screening. CONCLUSIONS Findings from this research indicate that positron emission tomography-computerised tomography is more accurate than dynamic contrast-enhanced computerised tomography for the characterisation of solitary pulmonary nodules. A combination of maximum standardised uptake value and peak enhancement had the highest accuracy with a small increase in costs. Findings from this research also indicate that a combined positron emission tomography-dynamic contrast-enhanced computerised tomography approach with a slightly higher willingness to pay to avoid missing small cancers or to avoid a 'watch and wait' policy may be an approach to consider. FUTURE WORK Integration of the dynamic contrast-enhanced component into the positron emission tomography-computerised tomography examination and the feasibility of dynamic contrast-enhanced computerised tomography at lung screening for the characterisation of solitary pulmonary nodules should be explored, together with a lower radiation dose protocol. STUDY REGISTRATION This study is registered as PROSPERO CRD42018112215 and CRD42019124299, and the trial is registered as ISRCTN30784948 and ClinicalTrials.gov NCT02013063. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 17. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Fiona J Gilbert
- Department of Radiology, University of Cambridge School of Clinical Medicine, Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Scott Harris
- Public Health Sciences and Medical Statistics, University of Southampton, Southampton, UK
| | - Kenneth A Miles
- Department of Radiology, University of Cambridge School of Clinical Medicine, Biomedical Research Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, Royal Papworth Hospital, Cambridge, UK
| | - Jonathan R Weir-McCall
- Department of Radiology, University of Cambridge School of Clinical Medicine, Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Nagmi R Qureshi
- Department of Radiology, Royal Papworth Hospital, Cambridge, UK
| | - Robert C Rintoul
- Department of Thoracic Oncology, Royal Papworth Hospital, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Sabina Dizdarevic
- Departments of Imaging and Nuclear Medicine and Respiratory Medicine, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - Lucy Pike
- King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Donald Sinclair
- King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Andrew Shah
- Radiation Protection Department, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - Rosemary Eaton
- Radiation Protection Department, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - Andrew Clegg
- Faculty of Health and Wellbeing, University of Central Lancashire, Preston, UK
| | - Valerio Benedetto
- Faculty of Health and Wellbeing, University of Central Lancashire, Preston, UK
| | - James E Hill
- Faculty of Health and Wellbeing, University of Central Lancashire, Preston, UK
| | - Andrew Cook
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Dimitrios Tzelis
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Luke Vale
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lucy Brindle
- School of Health Sciences, University of Southampton, Southampton, UK
| | - Jackie Madden
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Kelly Cozens
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Louisa A Little
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Kathrin Eichhorst
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Patricia Moate
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Chris McClement
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Charles Peebles
- Department of Radiology and Respiratory Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Anindo Banerjee
- Department of Radiology and Respiratory Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sai Han
- West of Scotland PET Centre, Gartnavel Hospital, Glasgow, UK
| | - Fat Wui Poon
- West of Scotland PET Centre, Gartnavel Hospital, Glasgow, UK
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London, London, UK
| | - Lutfi Kurban
- Department of Radiology, Aberdeen Royal Hospitals NHS Trust, Aberdeen, UK
| | - Anthony J Frew
- Departments of Imaging and Nuclear Medicine and Respiratory Medicine, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - Matthew E Callister
- Department of Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Philip Crosbie
- North West Lung Centre, University Hospital of South Manchester, Manchester, UK
| | - Fergus V Gleeson
- Department of Radiology, Churchill Hospital, Oxford, UK
- University of Oxford, Oxford, UK
| | | | - Osei Kankam
- Department of Thoracic Medicine, East Sussex Healthcare NHS Trust, Saint Leonards-on-Sea, UK
| | - Steve George
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
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Gilbert FJ, Harris S, Miles KA, Weir-McCall JR, Qureshi NR, Rintoul RC, Dizdarevic S, Pike L, Sinclair D, Shah A, Eaton R, Jones J, Clegg A, Benedetto V, Hill J, Cook A, Tzelis D, Vale L, Brindle L, Madden J, Cozens K, Little L, Eichhorst K, Moate P, McClement C, Peebles C, Banerjee A, Han S, Poon FW, Groves AM, Kurban L, Frew A, Callister MEJ, Crosbie PA, Gleeson FV, Karunasaagarar K, Kankam O, George S. Comparative accuracy and cost-effectiveness of dynamic contrast-enhanced CT and positron emission tomography in the characterisation of solitary pulmonary nodules. Thorax 2021; 77:988-996. [PMID: 34887348 DOI: 10.1136/thoraxjnl-2021-216948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 10/24/2021] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Dynamic contrast-enhanced CT (DCE-CT) and positron emission tomography/CT (PET/CT) have a high reported accuracy for the diagnosis of malignancy in solitary pulmonary nodules (SPNs). The aim of this study was to compare the accuracy and cost-effectiveness of these. METHODS In this prospective multicentre trial, 380 participants with an SPN (8-30 mm) and no recent history of malignancy underwent DCE-CT and PET/CT. All patients underwent either biopsy with histological diagnosis or completed CT follow-up. Primary outcome measures were sensitivity, specificity and overall diagnostic accuracy for PET/CT and DCE-CT. Costs and cost-effectiveness were estimated from a healthcare provider perspective using a decision-model. RESULTS 312 participants (47% female, 68.1±9.0 years) completed the study, with 61% rate of malignancy at 2 years. The sensitivity, specificity, positive predictive value and negative predictive values for DCE-CT were 95.3% (95% CI 91.3 to 97.5), 29.8% (95% CI 22.3 to 38.4), 68.2% (95% CI 62.4% to 73.5%) and 80.0% (95% CI 66.2 to 89.1), respectively, and for PET/CT were 79.1% (95% CI 72.7 to 84.2), 81.8% (95% CI 74.0 to 87.7), 87.3% (95% CI 81.5 to 91.5) and 71.2% (95% CI 63.2 to 78.1). The area under the receiver operator characteristic curve (AUROC) for DCE-CT and PET/CT was 0.62 (95% CI 0.58 to 0.67) and 0.80 (95% CI 0.76 to 0.85), respectively (p<0.001). Combined results significantly increased diagnostic accuracy over PET/CT alone (AUROC=0.90 (95% CI 0.86 to 0.93), p<0.001). DCE-CT was preferred when the willingness to pay per incremental cost per correctly treated malignancy was below £9000. Above £15 500 a combined approach was preferred. CONCLUSIONS PET/CT has a superior diagnostic accuracy to DCE-CT for the diagnosis of SPNs. Combining both techniques improves the diagnostic accuracy over either test alone and could be cost-effective. TRIAL REGISTRATION NUMBER NCT02013063.
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Affiliation(s)
- Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Scott Harris
- Public Health Sciences and Medical Statistics, University of Southampton, Southampton, Southampton, UK
| | - Kenneth A Miles
- Institute of Nuclear Medicine, University College London, London, UK
| | - Jonathan R Weir-McCall
- Department of Radiology, University of Cambridge, Cambridge, UK.,Department of Radiology, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | - Nagmi R Qureshi
- Department of Radiology, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | - Robert Campbell Rintoul
- Department of Thoracic Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK.,Department of Oncology, University of Cambridge, Cambridge, UK
| | - Sabina Dizdarevic
- Imaging and Nuclear Medicine, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK.,Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Lucy Pike
- King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, UK
| | - Donald Sinclair
- King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, UK
| | - Andrew Shah
- Radiation Protection, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - Rosemary Eaton
- Radiation Protection, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - Jeremy Jones
- Centre for Innovation and Leadership in Health Sciences, University of Southampton, Southampton, UK
| | - Andrew Clegg
- Synthesis, Economic Evaluation and Decision Science (SEEDS) Group, Applied Health Research Hub, University of Central Lancashire, Preston, UK
| | - Valerio Benedetto
- Synthesis, Economic Evaluation and Decision Science (SEEDS) Group, Applied Health Research Hub, University of Central Lancashire, Preston, UK
| | - James Hill
- Synthesis, Economic Evaluation and Decision Science (SEEDS) Group, Applied Health Research Hub, University of Central Lancashire, Preston, UK
| | - Andrew Cook
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Dimitrios Tzelis
- Population Health Science Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Luke Vale
- Population Health Science Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lucy Brindle
- School of Health Sciences, University of Southampton, Southampton, UK
| | - Jackie Madden
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Kelly Cozens
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Louisa Little
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Kathrin Eichhorst
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Patricia Moate
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Chris McClement
- Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Charles Peebles
- Department of Radiology and Respiratory Medicine, Southampton University Hospitals NHS Foundation Trust, Southampton, UK
| | - Anindo Banerjee
- Department of Radiology and Respiratory Medicine, Southampton University Hospitals NHS Foundation Trust, Southampton, UK
| | - Sai Han
- West of Scotland PET Centre, Gartnavel General Hospital, Glasgow, UK
| | - Fat-Wui Poon
- West of Scotland PET Centre, Gartnavel General Hospital, Glasgow, UK
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London, London, UK
| | - Lutfi Kurban
- Department of Radiology, Aberdeen Royal Hospitals NHS Trust, Aberdeen, UK
| | - Anthony Frew
- Imaging and Nuclear Medicine, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | | | - Phil A Crosbie
- Division of Infection, Immunity and Respiratory Medicine, University Hospital of South Manchester, Manchester, UK
| | - Fergus Vincent Gleeson
- Department of Radiology, Churchill Hospital, Oxford, UK.,Department of Radiology, University of Oxford, Oxford, UK
| | | | - Osei Kankam
- Department of Thoracic Medicine, East Sussex Healthcare NHS Trust, Saint Leonards-on-Sea, UK
| | - Steve George
- Public Health Sciences and Medical Statistics, University of Southampton, Southampton, Southampton, UK
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3
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Weir-McCall JR, Joyce S, Clegg A, MacKay JW, Baxter G, Dendl LM, Rintoul RC, Qureshi NR, Miles K, Gilbert FJ. Dynamic contrast-enhanced computed tomography for the diagnosis of solitary pulmonary nodules: a systematic review and meta-analysis. Eur Radiol 2020; 30:3310-3323. [PMID: 32060716 DOI: 10.1007/s00330-020-06661-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/12/2019] [Accepted: 01/17/2020] [Indexed: 12/19/2022]
Abstract
INTRODUCTION A systematic review and meta-analysis were performed to determine the diagnostic performance of dynamic contrast-enhanced computed tomography (DCE-CT) for the differentiation between malignant and benign pulmonary nodules. METHODS Ovid MEDLINE and EMBASE were searched for studies published up to October 2018 on the diagnostic accuracy of DCE-CT for the characterisation of pulmonary nodules. For the index test, studies with a minimum of a pre- and post-contrast computed tomography scan were evaluated. Studies with a reference standard of biopsy for malignancy, and biopsy or 2-year follow-up for benign disease were included. Study bias was assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). The sensitivities, specificities, and diagnostic odds ratios were determined along with 95% confidence intervals (CIs) using a bivariate random effects model. RESULTS Twenty-three studies were included, including 2397 study participants with 2514 nodules of which 55.3% were malignant (1389/2514). The pooled accuracy results were sensitivity 94.8% (95% CI 91.5; 96.9), specificity 75.5% (69.4; 80.6), and diagnostic odds ratio 56.6 (24.2-88.9). QUADAS 2 assessment showed intermediate/high risk of bias in a large proportion of the studies (52-78% across the domains). No difference was present in sensitivity or specificity between subgroups when studies were split based on CT technique, sample size, nodule size, or publication date. CONCLUSION DCE-CT has a high diagnostic accuracy for the diagnosis of pulmonary nodules although study quality was indeterminate in a large number of cases. KEY POINTS • The pooled accuracy results were sensitivity 95.1% and specificity 73.8% although individual studies showed wide ranges of values. • This is comparable to the results of previous meta-analyses of PET/CT (positron emission tomography/computed tomography) diagnostic accuracy for the diagnosis of solitary pulmonary nodules. • Robust direct comparative accuracy and cost-effectiveness studies are warranted to determine the optimal use of DCE-CT and PET/CT in the diagnosis of SPNs.
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Affiliation(s)
- Jonathan R Weir-McCall
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
| | - Stella Joyce
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Andrew Clegg
- School of Health Sciences, Faculty of Health and Wellbeing, University of Central Lancashire, Lancashire, UK
| | - James W MacKay
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Gabrielle Baxter
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | | | - Robert C Rintoul
- Department of Thoracic Oncology, Royal Papworth Hospital, Cambridge, UK.,Department of Oncology, University of Cambridge, Cambridge, UK
| | - Nagmi R Qureshi
- Department of Radiology, Royal Papworth Hospital, Cambridge, UK
| | - Ken Miles
- Institute of Nuclear Medicine, University College London, London, UK
| | - Fiona J Gilbert
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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4
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Cost-effectiveness of second-line diagnostic investigations in patients included in the DANTE trial: a randomized controlled trial of lung cancer screening with low-dose computed tomography. Nucl Med Commun 2019; 40:508-516. [PMID: 30875336 DOI: 10.1097/mnm.0000000000000993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
AIM The aim of this study was to analyze the economic efficiency of second-line diagnostic investigations in patients with undetermined lung nodules. PARTICIPANTS AND METHODS A retrospective review of all surgical cases included in the DANTE trial from 2001 to 2006 for lung cancer screening was performed. Overall, 217 patients and 261 lung nodules were analyzed. The cohort was divided into patients investigated with PET and/or computed tomography (CT)-guided biopsy (PET-CTB protocol; N=100), compared with those assessed with serial low-dose CT scans (standard protocol; N=161). Outpatient's and inpatient's costs were expressed in euros and derived from the Italian National Health Service. Ineffective costs were defined as the cost of procedures that lead to avoidable surgical intervention. RESULTS The diagnostic accuracy of the two protocols was 91% for the standard (sensitivity 100%, specificity 91%, positive predictive value 26%, and negative predictive value 100%) and 90% for the PET-CTB protocol (sensitivity 98%, specificity 81%, positive predictive value 85%, and negative predictive value 97%). Average costs for outpatient's diagnostics were 694 and 1.462 euros, respectively, for the standard and PET-CTB protocol. Average inpatient's costs for both protocols were 12.121 euros. The two protocols showed comparable effectiveness in terms of outpatient's costs (94 and 90%, respectively; P=0.252). Inpatient's costs were effective in 36% of cases monitored according to the standard protocol compared with 85% of patients investigated with PET-CTB protocol. Ineffective costs corresponded to 64 and 15%, respectively (P<0.0001). CONCLUSION Despite a higher average cost for outpatient's diagnostics, the implementation of PET imaging with or without CT-guided needle biopsy in the workup of suspicious lung nodules results in reduced unnecessary harm and costs related to inpatient's procedures.
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5
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Qureshi NR, Rintoul RC, Miles KA, George S, Harris S, Madden J, Cozens K, Little LA, Eichhorst K, Jones J, Moate P, McClement C, Pike L, Sinclair D, Wong WL, Shekhdar J, Eaton R, Shah A, Brindle L, Peebles C, Banerjee A, Dizdarevic S, Han S, Poon FW, Groves AM, Kurban L, Frew AJ, Callister ME, Crosbie P, Gleeson FV, Karunasaagarar K, Kankam O, Gilbert FJ. Accuracy and cost-effectiveness of dynamic contrast-enhanced CT in the characterisation of solitary pulmonary nodules-the SPUtNIk study. BMJ Open Respir Res 2016; 3:e000156. [PMID: 27843550 PMCID: PMC5073572 DOI: 10.1136/bmjresp-2016-000156] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 08/17/2016] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Solitary pulmonary nodules (SPNs) are common on CT. The most cost-effective investigation algorithm is still to be determined. Dynamic contrast-enhanced CT (DCE-CT) is an established diagnostic test not widely available in the UK currently. METHODS AND ANALYSIS The SPUtNIk study will assess the diagnostic accuracy, clinical utility and cost-effectiveness of DCE-CT, alongside the current CT and 18-flurodeoxyglucose-positron emission tomography) (18FDG-PET)-CT nodule characterisation strategies in the National Health Service (NHS). Image acquisition and data analysis for 18FDG-PET-CT and DCE-CT will follow a standardised protocol with central review of 10% to ensure quality assurance. Decision analytic modelling will assess the likely costs and health outcomes resulting from incorporation of DCE-CT into management strategies for patients with SPNs. ETHICS AND DISSEMINATION Approval has been granted by the South West Research Ethics Committee. Ethics reference number 12/SW/0206. The results of the trial will be presented at national and international meetings and published in an Health Technology Assessment (HTA) Monograph and in peer-reviewed journals. TRIAL REGISTRATION NUMBER ISRCTN30784948; Pre-results.
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Affiliation(s)
- N R Qureshi
- Department of Radiology , Papworth Hospital , Cambridge , UK
| | - R C Rintoul
- Department of Thoracic Oncology , Papworth Hospital , Cambridge , UK
| | - K A Miles
- Institute of Nuclear Medicine, University College London , London , UK
| | - S George
- Public Health Sciences and Medical Statistics, University of Southampton , Southampton , UK
| | - S Harris
- Public Health Sciences and Medical Statistics, University of Southampton , Southampton , UK
| | - J Madden
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - K Cozens
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - L A Little
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - K Eichhorst
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - J Jones
- Centre for Innovation and Leadership in Health Sciences, University of Southampton, UK
| | - P Moate
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - C McClement
- Southampton Clinical Trials Unit , University of Southampton , Southampton , UK
| | - L Pike
- Division of Imaging Sciences and Biomedical Engineering , King's College London , London , UK
| | - D Sinclair
- Division of Imaging Sciences and Biomedical Engineering , King's College London , London , UK
| | - W L Wong
- Department of Medical Physics , Paul Strickland Scanner Centre, Mount Vernon Hospital, East and North Herts NHS Trust , Stevenage , UK
| | - J Shekhdar
- Radiation Protection Department, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - R Eaton
- Radiation Protection Department, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - A Shah
- Radiation Protection Department, East and North Hertfordshire NHS Trust, Stevenage, UK
| | - L Brindle
- Faculty of Health Sciences , University of Southampton , Southampton , UK
| | - C Peebles
- Department of Radiology and Respiratory Medicine , Southampton University Hospitals NHS Foundation Trust , Southampton , UK
| | - A Banerjee
- Department of Radiology and Respiratory Medicine , Southampton University Hospitals NHS Foundation Trust , Southampton , UK
| | - S Dizdarevic
- Departments of Respiratory and Nuclear Medicine , Brighton and Sussex University Hospitals NHS Trust , Brighton , UK
| | - S Han
- West of Scotland PET Centre, Gartnavel Hospital , Glasgow , UK
| | - F W Poon
- West of Scotland PET Centre, Gartnavel Hospital , Glasgow , UK
| | - A M Groves
- Institute of Nuclear Medicine, University College London , London , UK
| | - L Kurban
- Department of Radiology , Aberdeen Royal Hospitals NHS Trust , Aberdeen , UK
| | - A J Frew
- Departments of Respiratory and Nuclear Medicine , Brighton and Sussex University Hospitals NHS Trust , Brighton , UK
| | - M E Callister
- Department of Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - P Crosbie
- North West Lung Centre, University Hospital of South Manchester, Manchester, UK
| | - F V Gleeson
- Department of Radiology , Churchill Hospital and University of Oxford , Oxford , UK
| | - K Karunasaagarar
- Department of Radiology , Worcestershire Royal Hospital , Worcester , UK
| | - O Kankam
- Department of Thoracic Medicine , East Sussex Hospitals NHS Trust , Saint Leonards-on-Sea , UK
| | - F J Gilbert
- Department of Radiology , University of Cambridge School of Clinical Medicine, Biomedical research centre, University of Cambridge , Cambridge , UK
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Mosmann MP, Borba MA, de Macedo FPN, Liguori ADAL, Villarim Neto A, de Lima KC. Solitary pulmonary nodule and (18)F-FDG PET/CT. Part 2: accuracy, cost-effectiveness, and current recommendations. Radiol Bras 2016; 49:104-11. [PMID: 27141133 PMCID: PMC4851481 DOI: 10.1590/0100-3984.2014.0087] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
A solitary pulmonary nodule is a common, often incidental, radiographic finding. The investigation and differential diagnosis of solitary pulmonary nodules remain complex, because there are overlaps between the characteristics of benign and malignant processes. There are currently many strategies for evaluating solitary pulmonary nodules. The main objective is to identify benign lesions, in order to avoid exposing patients to the risks of invasive methods, and to detect cases of lung cancer accurately, in order to avoid delaying potentially curative treatment. The focus of this study was to review the evaluation of solitary pulmonary nodules, to discuss the current role of (18)F-fluorodeoxyglucose positron-emission tomography, addressing its accuracy and cost-effectiveness, and to detail the current recommendations for the examination in this scenario.
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Affiliation(s)
- Marcos Pretto Mosmann
- MD, MSc, Nuclear Medicine Physician at Liga Norte-Riograndense Contra o Câncer, Natal, RN, Brazil
| | | | | | | | - Arthur Villarim Neto
- PhD, Nuclear Medicine Physician at Liga Norte-Riograndense Contra o Câncer, Natal, RN, Brazil
| | - Kenio Costa de Lima
- Post Doc Fellow, Professor, Programa de Pós-Graduação em Saúde Coletiva - Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, Brazil
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Schillaci O, Calabria FF. Comments on characterization of solitary pulmonary nodules with 18F-FDG PET/CT relative activity distribution analysis. J Thorac Dis 2015; 7:1708-12. [PMID: 26623090 DOI: 10.3978/j.issn.2072-1439.2015.10.61] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Orazio Schillaci
- 1 Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome 00133, Italy ; 2 Department of Nuclear Medicine and Molecular Imaging, IRCCS INM Neuromed, Pozzilli (IS), Italy ; 3 Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, IBFM CNR, 88100, Italy
| | - Ferdinando F Calabria
- 1 Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome 00133, Italy ; 2 Department of Nuclear Medicine and Molecular Imaging, IRCCS INM Neuromed, Pozzilli (IS), Italy ; 3 Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, IBFM CNR, 88100, Italy
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8
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Dabrowska M, Krenke R, Korczynski P, Maskey-Warzechowska M, Zukowska M, Kunikowska J, Orłowski T, Chazan R. Diagnostic accuracy of contrast-enhanced computed tomography and positron emission tomography with 18-FDG in identifying malignant solitary pulmonary nodules. Medicine (Baltimore) 2015; 94:e666. [PMID: 25881842 PMCID: PMC4602509 DOI: 10.1097/md.0000000000000666] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Contrast-enhanced computed tomography (CECT) and positron emission tomography with 18-FDG (FDG-PET/CT) are used to identify malignant solitary pulmonary nodules. The aim of the study was to evaluate the accuracy of CECT and FDG-PET/CT in diagnosing the etiology of solitary pulmonary nodule (SPN). Eighty patients with newly diagnosed SPN >8 mm were enrolled. The patients were scheduled for either or both, CECT and FDG-PET/CT. The nature of SPN (malignant or benign) was determined either by its pathological examination or radiological criteria. In 71 patients, the etiology of SPN was established and these patients were included in the final analysis. The median SPN diameter in these patients was 13 mm (range 8-30 mm). Twenty-two nodules (31%) were malignant, whereas 49 nodules were benign. FDG-PET/CT was performed in 40 patients, and CECT in 39 subjects. Diagnostic accuracy of CECT was 0.58 (95% confidence interval [CI] 0.41-0.74). The optimal cutoff level discriminating between malignant and benign SPN was an enhancement value of 19 Hounsfield units, for which the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CECT were 100%, 37%, 32%, and 100%, respectively. Diagnostic accuracy of FDG-PET/CT reached 0.9 (95% CI 0.76-0.9). The optimal cutoff level for FDG-PET/CT was maximal standardized uptake value (SUV max) 2.1. At this point, the sensitivity, specificity, PPV, and NPV were 77%, 92%, 83%, and 89%, respectively. The diagnostic accuracy of FDG-PET/CT is higher than that of CECT. The advantage of CECT is its high sensitivity and negative predictive value.
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Affiliation(s)
- M Dabrowska
- From the Department of Internal Medicine, Pneumonology and Allergology, Medical University of Warsaw (MD, RK, PK, MM, RC); 2nd Department of Clinical Radiology, Medical University of Warsaw (MZ); Department of Nuclear Medicine, Medical University of Warsaw (JK); and Department of Surgery, National Research Institute of Tuberculosis and Lung Diseases, Warsaw, Poland (TO)
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9
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Gerke O, Hermansson R, Hess S, Schifter S, Vach W, Høilund-Carlsen PF. Cost-effectiveness of PET and PET/computed tomography: a systematic review. PET Clin 2014; 10:105-24. [PMID: 25455883 DOI: 10.1016/j.cpet.2014.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The development of clinical diagnostic procedures comprises early-phase and late-phase studies to elucidate diagnostic accuracy and patient outcome. Economic assessments of new diagnostic procedures compared with established work-ups indicate additional cost for 1 additional unit of effectiveness measure by means of incremental cost-effectiveness ratios when considering the replacement of the standard regimen by a new diagnostic procedure. This article discusses economic assessments of PET and PET/computed tomography reported until mid-July 2014. Forty-seven studies on cancer and noncancer indications were identified but, because of the widely varying scope of the analyses, a substantial amount of work remains to be done.
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Affiliation(s)
- Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Department of Business and Economics, Centre of Health Economics Research, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark.
| | - Ronnie Hermansson
- Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
| | - Søren Hess
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark
| | - Søren Schifter
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
| | - Werner Vach
- Clinical Epidemiology, Department of Medical Biometry and Medical Informatics, University of Freiburg, Stefan-Meier-Straße 26, Freiburg 79104, Germany
| | - Poul Flemming Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
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10
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Miles KA. Molecular imaging with dynamic contrast-enhanced computed tomography. Clin Radiol 2010; 65:549-56. [PMID: 20541654 DOI: 10.1016/j.crad.2010.04.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2009] [Revised: 04/15/2010] [Accepted: 04/22/2010] [Indexed: 01/10/2023]
Abstract
Dynamic contrast-enhanced computed tomography (DCE-CT) is a quantitative technique that employs rapid sequences of CT images after bolus administration of intravenous contrast material to measure a range of physiological processes related to the microvasculature of tissues. By combining knowledge of the molecular processes underlying changes in vascular physiology with an understanding of the relationship between vascular physiology and CT contrast enhancement, DCE-CT can be redefined as a molecular imaging technique. Some DCE-CT derived parameters reflect tissue hypoxia and can, therefore, provide information about the cellular microenvironment. DCE-CT can also depict physiological processes, such as vasodilatation, that represent the physiological consequences of molecular responses to tissue hypoxia. To date the main applications have been in stroke and oncology. Unlike some other molecular imaging approaches, DCE-CT benefits from wide availability and ease of application along with the use of contrast materials and software packages that have achieved full regulatory approval. Hence, DCE-CT represents a molecular imaging technique that is applicable in clinical practice today.
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Affiliation(s)
- K A Miles
- Clinical Imaging Sciences Centre, Brighton & Sussex Medical School, University of Sussex, Falmer, Brighton, UK.
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11
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[Proposal for a diagnostic algorithm for the use of (18)F-FDG-PET in lung cancer]. ACTA ACUST UNITED AC 2009; 28:167-72. [PMID: 19558959 DOI: 10.1016/s0212-6982(09)71361-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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12
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Mansueto M, Grimaldi A, Mangili G, Picchio M, Giovacchini G, Viganò R, Messa C, Fazio F. Positron emission tomography/computed tomography introduction in the clinical management of patients with suspected recurrence of ovarian cancer: a cost-effectiveness analysis. Eur J Cancer Care (Engl) 2009; 18:612-9. [PMID: 19549284 DOI: 10.1111/j.1365-2354.2008.00945.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Aim of this study was to evaluate the economic impact of the introduction of positron emission tomography/computed tomography (PET/CT) in the early detection of recurrent ovarian cancer through a cost-effectiveness analysis of different diagnostic strategies. Thirty-two consecutive patients with suspected ovarian cancer recurrence, studied by both contrast enhanced abdominal CT and PET/CT, were retrospectively included in the study. Three different diagnostic strategies were evaluated and compared: (1) CT only or baseline strategy; (2) PET/CT for negative CT or strategy A; (3) PET/CT for All or strategy B. For each one, expected costs, avoided surgery and incremental cost-effectiveness ratio (ICER) were calculated to identify the most cost-effective strategy. The number of positive patients increased from baseline strategy (20/32) to strategy A and B (30/32 and 29/32 respectively). Positron emission tomography/computed tomography reoriented physician choice in 31% and 62% of patients (strategies A and B respectively). Strategy A is dominated by strategy B, which is more expensive (2909 euro vs. 2958 euro), but also more effective (3 cases of surgery avoided) and presents an ICER of 226.77 euro per surgery avoided (range: 49.50-433.00 euro). Positron emission tomography/computed tomography introduction in this population is cost-effective and allowed to redirect the clinical management of patients towards more appropriate therapeutic choices.
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Affiliation(s)
- M Mansueto
- Institute for Bioimaging and Molecular Physiology, National Research Council, University of Milano-Bicocca and San Raffaele Hospital Scientific Institute, Milan, Italy
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Barnett PG, Ananth L, Gould MK. Cost and outcomes of patients with solitary pulmonary nodules managed with PET scans. Chest 2009; 137:53-9. [PMID: 19525359 DOI: 10.1378/chest.08-0529] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND No prior study to our knowledge has observed the cost of managing solitary pulmonary nodules of patient groups defined by PET scan results. METHODS We combined study and administrative data over 2 years of follow-up. RESULTS Of 375 individuals with a definitive diagnosis, 54.4% had a malignant nodule and 62.1% had positive PET scan results. Mortality risk was 5.0 times higher (CI, 3.1-8.2) and cost was greater (50,233 dollars vs 22,461 dollars, P<.0001) among patients with malignant nodule. Mortality risk was 4.1 times higher (CI, 2.4-7.0) and cost was greater (47,823 dollars vs 20,744 dollars, P<.0001) among patients with a positive PET scan result. Among patients with a malignant nodule, 4.9% had a false-negative PET scan, but cost and survival were not different from true positives. Among patients with a benign nodule, 22.8% had a false-positive PET scan. These patients had greater cost (33,783 dollars vs 19,115 dollars, P<.01), more surgeries and biopsies, and 3.8 times the mortality risk (CI, 1.6-9.2) of true negatives. Just over one-half (54.5%) of individuals with positive PET scans received surgery. Most individuals with negative PET scans (85.2%) were managed by watchful waiting. They incurred fewer costs than patients with negative PET scans who were managed more aggressively (19,378 dollars vs 28,611 dollars, P<.01). CONCLUSIONS Management of solitary pulmonary nodules is expensive, especially if the nodule is malignant or if the PET scan result is false positive. Among patients with malignant nodules, 2-year survival is poor. Compared with true-positive PET scan results, false-negative results are not associated with lower costs or better outcomes.
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Affiliation(s)
- Paul G Barnett
- Health Economics Resource Center, 795 Willow Rd (152), Menlo Park, CA 94025, USA.
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Abstract
Combined positron emission tomography–computed tomography (PET-CT) has made a significant impact on cancer imaging. The use of CT to map tissue attenuation for correction of PET images and the ability to co-register the functional information provided by PET with the anatomical data afforded by CT, has resulted in demonstrable improvements in diagnostic accuracy. However, attenuation correction and anatomical localisation may not represent the full benefits of integrating CT with PET. The use of CT acquisition techniques for patient positioning and the use of contrast media can improve diagnostic performance, and incorporation of CT image processing techniques such as perfusion CT, 3D imaging and computer-assisted diagnosis offers new applications. The interpretation of PET-CT images can be improved by fully integrating the morphological appearances on CT into image analysis. Better utilisation of the CT component of PET-CT could further enhance the benefits of PET-CT in oncology but will have implications for manufacturers and purchasers of PET-CT equipment and analysis software. Furthermore, specialists working in PET-CT will need CT competencies beyond knowledge of cross-sectional anatomy. CT continues to exhibit rapid evolution and these advances will inevitably impact on the practice of PET-CT.
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Affiliation(s)
- K A Miles
- Brighton and Sussex Medical School, Brighton, UK.
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Whitson BA, Groth SS, Maddaus MA. Recommendations for optimal use of imaging studies to clinically stage mediastinal lymph nodes in non-small-cell lung cancer patients. Lung Cancer 2008; 61:177-85. [DOI: 10.1016/j.lungcan.2007.12.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2007] [Revised: 11/27/2007] [Accepted: 12/16/2007] [Indexed: 12/25/2022]
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Gould MK. Cost Effectiveness of Positron Emission Tomography for Characterizing Pulmonary Nodules. PET Clin 2007; 1:339-46. [PMID: 27157515 DOI: 10.1016/j.cpet.2006.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Michael K Gould
- VA Palo Alto Health Care System (111P), 3801 Miranda Avenue, Palo Alto, CA 94304, USA
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Christensen JA, Nathan MA, Mullan BP, Hartman TE, Swensen SJ, Lowe VJ. Characterization of the solitary pulmonary nodule: 18F-FDG PET versus nodule-enhancement CT. AJR Am J Roentgenol 2006; 187:1361-7. [PMID: 17056930 DOI: 10.2214/ajr.05.1166] [Citation(s) in RCA: 119] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study was to directly compare nodule-enhancement CT and 18F-FDG PET in the characterization of indeterminate solitary pulmonary nodules (SPNs) greater than 7 mm in size. MATERIALS AND METHODS Examinations from patients undergoing both nodule-enhancement CT and 18F-FDG PET to characterize the same indeterminate SPN were reviewed. For nodule-enhancement CT, an SPN was considered malignant when it showed an unenhanced to peak contrast-enhanced increase in attenuation greater than 15 H. Fluorine-18-FDG PET studies were blindly reinterpreted by two qualified nuclear radiologists. SPNs qualitatively showing hypermetabolic activity greater than the mediastinal blood pool were interpreted as malignant. These interpretations were compared with the original prospective clinical readings and to semiquantitative standardized uptake value (SUV) analysis. Results were compared with pathologic and clinical follow-up. RESULTS Forty-two pulmonary nodules were examined. Twenty-five (60%) were malignant, and 17 (40%) were benign. Nodule-enhancement CT was positive in all 25 malignant nodules and in 12 benign nodules, with sensitivity and specificity of 100% and 29%, respectively, and with a positive predictive value (PPV) and negative predictive value (NPV) of 68% and 100%, respectively. Qualitative 18F-FDG PET interpretations were positive in 24 of the 25 malignant nodules and in four benign nodules. Fluorine-18-FDG PET was considered negative in one malignant nodule and in 13 of the 17 benign nodules. This correlates with a sensitivity and specificity of 96% and 76%, respectively, and with a PPV and NPV of 86% and 93%, respectively. Original prospective 18F-FDG PET and semiquantitative SUV analysis showed sensitivity, specificity, PPV, and NPV of 88%, 76%, 85%, and 81% and 84%, 82%, 88%, and 78%, respectively. CONCLUSION Due to its much higher specificity and only slightly reduced sensitivity, 18F-FDG PET is preferable to nodule-enhancement CT in evaluating indeterminate pulmonary nodules. However, nodule-enhancement CT remains useful due to its high NPV, convenience, and lower cost. Qualitative 18F-FDG PET interpretation provided the best balance of sensitivity and specificity when compared with original prospective interpretation or SUV analysis.
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Affiliation(s)
- Jared A Christensen
- Department of Radiology, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA.
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18
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Miles KA, Griffiths MR, Keith CJ. Blood flow–metabolic relationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography. Eur J Nucl Med Mol Imaging 2005; 33:22-8. [PMID: 16180030 DOI: 10.1007/s00259-005-1932-7] [Citation(s) in RCA: 76] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2005] [Accepted: 08/02/2005] [Indexed: 01/22/2023]
Abstract
PURPOSE The purpose of this study was to undertake dual assessment of tumour blood flow and glucose metabolism in non-small cell lung cancer (NSCLC) using contrast-enhanced computed tomography (CE-CT) and (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) in order to assess how the relationships between these parameters vary with tumour size and stage. METHODS Tumour blood flow and glucose metabolism were assessed in 18 NSCLCs using quantitative CE-CT and FDG-PET respectively. Contrast enhancement and FDG uptake were both normalised to injected dose and patient weight to yield correspondingly the standardised perfusion value (SPV) and standardised uptake value (SUV). Tumour area was measured from conventional CT images. RESULTS The ratio of SUV to SVP and the metabolic-flow difference (SUV-SVP) correlated with tumour size (r=0.56, p=0.015 and r=0.60 and p=0.008 respectively). A metabolic-flow difference of greater than 4 was more common amongst tumours of stages III and IV (odds ratio 10.5; 95% confidence limits 0.24-32.1). A significant correlation between SUV and SPV was found only for tumours smaller than 4.5 cm2 (r=0.85, p=0.03). CONCLUSION Blood flow-metabolic relationships are not consistent in NSCLC but depend upon tumour size and stage. Quantitative CE-CT as an adjunct to an FDG study undertaken using integrated PET-CT offers an efficient way to augment the assessment of tumour biology with possible future application as part of clinical care.
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Affiliation(s)
- K A Miles
- Division of Clinical and Laboratory Sciences, Brighton & Sussex Medical School, University of Sussex, Brighton, BN7 3PB, UK.
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Abstract
The solitary pulmonary nodule (SPN) is a common radiologic finding. There are different management approaches and the work-up often requires evaluation over a long period of time to establish a benign or malignant diagnosis. Comparison with old examinations and morphologic evaluation of the size, margins, and internal characteristics of an (SPN) should be the first step in the evaluation of these lesions. It is often necessary to proceed to additional imaging techniques and in some situations invasive tests or surgical biopsy may be required.
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Affiliation(s)
- Thomas E Hartman
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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Abstract
Perfusion CT is a technique that can be readily incorporated into the existing CT protocols that continue to provide the mainstay for anatomical imaging in oncology to provide an in vivo marker of tumour angiogenesis. By capturing physiological information reflecting the tumour vasculature, perfusion CT can be useful for diagnosis, risk-stratification and therapeutic monitoring. However, a wide range of perfusion CT techniques have evolved and the various commercial implementations advocate different acquisition protocols and processing methods. Acquisition choices include first pass studies or delayed imaging, temporal resolution versus image noise, and single location sequences or multiple spiral acquisitions. Data processing may be semi-quantitative or, using either compartmental analysis or deconvolution, produce results that are quantified in absolute physiological terms such as perfusion, blood volume and permeability. This article discusses the advantages and disadvantages of the more common CT perfusion protocols and offers proposals that could allow for easier comparison between studies employing different techniques.
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Affiliation(s)
- K A Miles
- Division of Clinical and Laboratory Investigation, Brighton & Sussex Medical School, University of Sussex, Falmer, Brighton BN1 9PX, UK
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Abstract
The two-compartment pharmacokinetics exhibited by iodinated contrast media makes these agents well suited to the study of tumour angiogenesis in which new vessels are not only produced in greater number but also are abnormally permeable to circulating molecules. The temporal changes in contrast enhancement of tumours on CT have been shown to correlate with histopathological assessments of angiogenesis with the intravascular and extravascular phases of contrast enhancement reflecting microvessel density and vascular permeability, respectively. By quantifying tumour contrast enhancement to capture physiological information about the vascular system, functional CT can provide a useful adjunct to the anatomical information afforded by MDCT in oncology, aiding with tumour diagnosis, risk stratification and therapy monitoring. By simultaneously assessing tumour vascularity and metabolic demand, the broader expansion of integrated MDCT/PET imaging will support highly sophisticated assessments of tumour biology within a single examination.
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Affiliation(s)
- K A Miles
- Wesley Research Institute, 2nd Floor Day Care Centre, The Wesley Hospital, Brisbane, Australia.
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Abstract
With expenditure on imaging patients with cancer set to increase in line with rising cancer prevalence, there is a need to demonstrate the cost-effectiveness of advanced cancer imaging techniques. Cost-effectiveness studies aim to quantify the cost of providing a service relative to the amount of desirable outcome gained, such as improvements in patient survival. Yet, the impact of imaging on the survival of patients with cancer is small compared to the impact of treatment and is therefore hard to measure directly. Hence, techniques such as decision-tree analysis, that model the impact of imaging on survival, are increasingly used for cost-effectiveness evaluations. Using such techniques, imaging strategies that utilise computed tomography, magnetic resonance imaging and positron emission tomography have been shown to be more cost-effective than non-imaging approaches for the management of certain cancers including lung, prostate and lymphoma. There is stronger evidence to support the cost-effectiveness of advanced cancer imaging for diagnosis, staging and monitoring therapy than for screening. The results of cost-effectiveness evaluations are not directly transferable between countries or tumour types and hence more studies are needed. As many of the techniques developed to assess the evidence base for therapeutic modalities are not readily applicable to diagnostic tests, cancer imaging specialists need to define the methods for health technology assessment that are most appropriate to their speciality.
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Affiliation(s)
- K A Miles
- Division of Clinical and Laboratory Sciences, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK.
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Abstract
PURPOSE OF REVIEW With the development of newer forms of technology such as low-dose spiral computed tomography, there has been a resurgent interest in screening for lung cancer. The purpose of this review is to highlight recent advances in screening for lung cancer. Articles published since September 2002 are reviewed here. RECENT FINDINGS More frequent screenings (every 4 or 6 months) showed increased mortality from lung cancer, compared with annual screening. A mass screening conducted in 1990 was effective in a case-control study. The results of lung cancer screening by low-dose spiral computed tomography were reported from the Milan group and the Mayo Clinic. Computed tomography depicted peripheral early lung cancer, especially adenocarcinoma. These results are consistent with previous reports from other groups. Screening with imaging becomes more sensitive with automated computerized methods. SUMMARY A high percentage of stage IA lung cancers were detected by screening with low-dose helical computed tomography. The characteristics of the nodules detected by low-dose spiral computed tomography have been clarified. There have been many controversial discussions about cost effectiveness and overdiagnosis. There is still no evidence that screening tests reduce the rate of cancer-specific mortality. Several studies of screening for lung cancer are under way.
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Affiliation(s)
- Masaaki Kawahara
- Department of Internal Medicine, National Kinki Central Hospital for Chest Diseases, 1180 Nagasone, Sakai, Osaka 591-8555, Japan.
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Abstract
Functional Computed Tomography (CT) describes the use of existing technologies and conventional contrast agents to capture physiological parameters that reflect the vasculature within tumours and other tissues. The technique is readily incorporated into routine conventional CT examinations and, in tumours, the physiological parameters obtained provide an in-vivo marker of angiogenesis. As well as providing a research tool, functional CT has clinical applications in tumour diagnosis, staging, risk stratification and therapy monitoring, including the characterisation of pulmonary nodules, detection of occult hepatic metastases, grading of cerebral glioma and monitoring of anti-angiogenesis drugs. With the recent commercial availability of appropriate software and the development of multislice CT systems, functional CT is poised to make a significant impact upon the imaging of patients with cancer.
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Affiliation(s)
- K A Miles
- Southernex Imaging and Queensland University of Technology, Department of Radiology, The Wesley Hospital, Chasely Street, Auchenflower, Australia.
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