1
|
Dimitrakopoulou-Strauss A, Pan L, Sachpekidis C. Parametric Imaging With Dynamic PET for Oncological Applications: Protocols, Interpretation, Current Applications and Limitations for Clinical Use. Semin Nucl Med 2021; 52:312-329. [PMID: 34809877 DOI: 10.1053/j.semnuclmed.2021.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Nuclear medicine imaging modalities, and in particular positron emission tomography (PET), provide functional images that demonstrate the mean radioactivity distribution at a defined point in time. With the help of mathematical model's, it is possible to depict isolated parameters of the radiotracers' pharmacokinetics and to visualize them. These so called parametric images add a new dimension to the existing conventional PET images and provide more detailed information about the tracer distribution over time and space. Prerequisite for the calculation of parametric images, which reflect specific pharmacokinetic parameters, is the dynamic PET (dPET) data acquisition. Hitherto, PET parametric imaging has mainly found use for research purposes. However, it has not been yet implemented into clinical routine, since it is more time-consuming, it requires a complicated analysis and still lacks a clear benefit over conventional PET imaging. However, the recent introduction of new PET-CT scanners with an ultralong field of view, which allow a faster data acquisition and are associated with higher sensitivity, as well as the development of more sophisticated evaluation software packages will probably lead to a renaissance of dPET and parametric maps even of the whole body. The implementation of dPET imaging in daily routine with appropriate acquisition protocols, as well as the calculation, interpretation and potential clinical applications of parametric images will be discussed in this review article.
Collapse
Affiliation(s)
| | - Leyun Pan
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany
| | - Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany
| |
Collapse
|
2
|
Cysouw MCF, Kramer GM, Heijtel D, Schuit RC, Morris MJ, van den Eertwegh AJM, Voortman J, Hoekstra OS, Oprea-Lager DE, Boellaard R. Sensitivity of 18F-fluorodihydrotestosterone PET-CT to count statistics and reconstruction protocol in metastatic castration-resistant prostate cancer. EJNMMI Res 2019; 9:70. [PMID: 31363939 PMCID: PMC6667590 DOI: 10.1186/s13550-019-0531-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 07/12/2019] [Indexed: 01/22/2023] Open
Abstract
Objectives Whole body [18F]-fluorodihydrotestosterone positron emission tomography ([18F]FDHT PET) imaging directly targets the androgen receptor and is a promising prognostic and predictive biomarker in metastatic castration-resistant cancer (mCRPC). To optimize [18F]FDHT PET-CT for diagnostic and response assessment purposes, we assessed how count statistics and reconstruction protocol affect its accuracy, repeatability, and lesion detectability. Methods Whole body [18F]FDHT PET-CT scans were acquired on an analogue PET-CT on two consecutive days in 14 mCRPC patients harbouring a total of 336 FDHT-avid lesions. Images were acquired at 45 min post-injection of 200 MBq [18F]FDHT at 3 min per bed position. List-mode PET data were split on a count-wise basis, yielding two statistically independent scans with each 50% of counts. Images were reconstructed according to current EANM Research Ltd. (EARL1, 4 mm voxel) and novel EARL2 guidelines (4 mm voxel + PSF). Per lesion, we measured SUVpeak, SUVmax, SUVmean, and contrast-to-noise ratio (CNR). SUV was normalized to dose per bodyweight as well as to the parent plasma input curve integral. Variability was assessed with repeatability coefficients (RCs). Results Count reduction increased liver coefficient of variation from 9.0 to 12.5% and from 10.8 to 13.2% for EARL1 and EARL2, respectively. SUVs of EARL2 images were 12.0–21.7% higher than EARL1. SUVs of 100% and 50% count data were highly correlated (R2 > 0.98; slope = 0.97–1.01; ICC = 0.99–1.00). Intrascan variability was volume-dependent, and count reduction resulted in higher intrascan variability for EARL2 than EARL1 images. Intrascan RCs were lowest for SUVmean (8.5–10.6%), intermediate for SUVpeak (12.0–16.0%), and highest for SUVmax (17.8–22.2%). Count reduction increased test-retest variance non-significantly (p > 0.05) for all SUV types and normalizations. For SUVpeak at 50% of counts, RCs remained < 30% when small lesions were excluded. Splitting data reduced CNR by median 4.6% (interquartile range 1.2–8.7%) and 4.6% (interquartile range 1.2–8.7%) for EARL1 and EARL2 images, respectively. Conclusions Reducing [18F]FDHT PET acquisition time from 3 min to 1.5 per bed position resulted in a repeatability of SUVpeak (bodyweight) remaining ≤ 30%, which is generally acceptable for response monitoring purposes. However, EARL2 reconstruction was more affected, especially for SUVmax whose repeatability tended to exceed 30%. Lesion detectability was only slightly impaired by reducing acquisition time, which might not be clinically relevant in mCRPC. Electronic supplementary material The online version of this article (10.1186/s13550-019-0531-8) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Matthijs C F Cysouw
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Gerbrand M Kramer
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | | | - Robert C Schuit
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Michael J Morris
- Department of Medicine, Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, 353 E 68th St, New York, NY, 10065, USA
| | - Alfons J M van den Eertwegh
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Medical Oncology, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jens Voortman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Medical Oncology, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Otto S Hoekstra
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Daniela E Oprea-Lager
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| |
Collapse
|
3
|
Zhang J, Liu X, Knopp MI, Ramaswamy B, Knopp MV. How Long of a Dynamic 3'-Deoxy-3'-[ 18F]fluorothymidine ([ 18F]FLT) PET Acquisition Is Needed for Robust Kinetic Analysis in Breast Cancer? Mol Imaging Biol 2018; 21:382-390. [PMID: 29987617 DOI: 10.1007/s11307-018-1231-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE To quantitatively evaluate the minimally required scanning time of 3'-deoxy-3'-[18F]fluorothymidine ([18F]FLT) positron emission tomography (PET) dynamic acquisition for accurate kinetic assessment of the proliferation in breast cancer tumors. PROCEDURES Within a therapeutic intervention trial, 26 breast tumors of 8 breast cancer patients were analyzed from 30-min dynamic [18F]FLT-PET acquisitions. PET/CT was acquired on a Gemini TF 64 system (Philips Healthcare) and reconstructed into 26 frames (8 × 15 s, 6 × 30 s, 5 × 1 min, 5 × 2 min, and 2 × 5 min). Maximum activity concentrations (Bq/ml) of volume of interests over tumors and plasma in descending aorta were obtained over time frames. Kinetic parameters were estimated using in-house developed software with the two-tissue three-compartment irreversible model (2TCM) (K1, k2, k3, and Ki; k4 = 0) and Patlak model (Ki) based on different acquisition durations (Td) (10, 12, 14, 16, 20, 25, and 30 min, separately). Different linear regression onset time (T0) points (1, 2, 3, 4, and 5 min) were applied in Patlak analysis. Ki of the 30-min data set was taken as the gold standard for comparison. Pearson product-moment correlation coefficient (R) of 0.9 was chosen as a limit for the correlation. RESULTS The correlation of kinetic parameters between the gold standard and the abbreviated dynamic data series increased with longer Td from 10 to 30 min. k2 and k3 using 2TCM and Ki using Patlak model revealed poor correlations for dynamic PET with Td ≤ 14 min (k2: R = 0.84, 0.85, 0.86; k3: R = 0.67, 0.67, 0.67; Ki: R = 0.72, 0.78, 0.87 at Td = 10, 12, and 14 min, respectively). Excellent correlations were shown for all kinetic parameters when Td ≥ 16 min regardless of the kinetic model and T0 value (R > 0.9). CONCLUSIONS This study indicates that a 16-min dynamic PET acquisition appears to be sufficient to provide accurate [18F]FLT kinetics to quantitatively assess the proliferation in breast cancer lesions.
Collapse
Affiliation(s)
- Jun Zhang
- Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Room 430, Columbus, OH, 43210-1228, USA
| | - Xiaoli Liu
- Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Room 430, Columbus, OH, 43210-1228, USA
| | - Michelle I Knopp
- Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Room 430, Columbus, OH, 43210-1228, USA
| | - Bhuvaneswari Ramaswamy
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Michael V Knopp
- Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Room 430, Columbus, OH, 43210-1228, USA.
| |
Collapse
|
4
|
Iqbal R, Kramer GM, Frings V, Smit EF, Hoekstra OS, Boellaard R. Validation of [ 18F]FLT as a perfusion-independent imaging biomarker of tumour response in EGFR-mutated NSCLC patients undergoing treatment with an EGFR tyrosine kinase inhibitor. EJNMMI Res 2018; 8:22. [PMID: 29594931 PMCID: PMC5874225 DOI: 10.1186/s13550-018-0376-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/15/2018] [Indexed: 02/07/2023] Open
Abstract
Background 3′-Deoxy-3′-[18F]fluorothymidine ([18F]FLT) was proposed as an imaging biomarker for the assessment of in vivo cellular proliferation with positron emission tomography (PET). The current study aimed to validate [18F]FLT as a perfusion-independent PET tracer, by gaining insight in the intra-tumoural relationship between [18F]FLT uptake and perfusion in non-small cell lung cancer (NSCLC) patients undergoing treatment with a tyrosine kinase inhibitor (TKI). Six patients with metastatic NSCLC, having an activating epidermal growth factor receptor (EGFR) mutation, were included in this study. Patients underwent [15O]H2O and [18F]FLT PET/CT scans at three time points: before treatment and 7 and 28 days after treatment with a TKI (erlotinib or gefitinib). Parametric analyses were performed to generate quantitative 3D images of both perfusion measured with [15O]H2O and proliferation measured with [18F]FLT volume of distribution (VT). A multiparametric classification was performed by classifying voxels as low and high perfusion and/or low and high [18F]FLT VT using a single global threshold for all scans and subjects. By combining these initial classifications, voxels were allocated to four categories (low perfusion-low VT, low perfusion-high VT, high perfusion-low VT and high perfusion-high VT). Results A total of 17 perfusion and 18 [18F]FLT PET/CT scans were evaluated. The average tumour values across all lesions were 0.53 ± 0.26 mL cm− 3 min− 1 and 4.25 ± 1.71 mL cm− 3 for perfusion and [18F]FLT VT, respectively. Multiparametric analysis suggested a shift in voxel distribution, particularly regarding the VT: from an average of ≥ 77% voxels classified in the “high VT category” to ≥ 85% voxels classified in the “low VT category”. The shift was most prominent 7 days after treatment and remained relatively similar afterwards. Changes in perfusion and its spatial distribution were minimal. Conclusion The present study suggests that [18F]FLT might be a perfusion-independent PET tracer for measuring tumour response as parametric changes in [18F]FLT uptake occurred independent from changes in perfusion. Trial registration Nederlands Trial Register (NTR), NTR3557. Registered 2 August 2012 Electronic supplementary material The online version of this article (10.1186/s13550-018-0376-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- R Iqbal
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands.
| | - G M Kramer
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands
| | - V Frings
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands
| | - E F Smit
- Department of Pulmonology, VU University Medical Center, Amsterdam, The Netherlands
| | - O S Hoekstra
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands
| | - R Boellaard
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands
| | | |
Collapse
|