TL;DR: Quantification of FDG uptake in breast tumors provided objective criteria for differentiation between benign and malignant tissue with similar diagnostic accuracy as compared with visual analysis.
Abstract: This study evaluated various quantitative criteria for analysis of breast imaging with PET using the radiolabeled glucose analog 18F-fluorodeoxyglucose (FDG). Methods: In a prospective study, 73 patients with abnormal mammography or palpable breast masses scheduled for biopsy were investigated with PET. A total of 97 breast tumors were evaluated by histology, including 46 benign and 51 malignant tumors. Using a whole-body PET scanner, attenuation-corrected images were acquired between 40 and 60 min after tracer injection. For Patlak analysis, dynamic data acquisition was obtained in 24 patients. To differentiate between benign and malignant breast tumors, receiver operating characteristic curves were calculated using incrementally increasing threshold values for tumor/nontumor ratios based on average and maximum activity values per region of interest, standardized uptake values (corrected for partial volume effect, normalized to blood glucose, partial volume effect and blood glucose, using the lean body mass as well as the body surface area) and calculating the FDG influx rate (K) assessed by Patlak analysis. Results: Quantification of FDG uptake in breast tumors provided objective criteria for differentiation between benign and malignant tissue with similar diagnostic accuracy as compared with visual analysis. Applying correction for partial volume effect and normalization by blood glucose yielded the highest diagnostic accuracy. Conclusions: These quantitative methods provided accurate evaluation of PET data for differentiating benign from malignant breast tumors. Quantitative assessment is recommended to complement visual image interpretation with the potential benefit of reduced interobserver variability.
TL;DR: The capability of total-body parametric imaging using the uEXPLORER is demonstrated and the results showed the benefits of kernel-regularized reconstruction and direct parametric reconstruction, which can achieve superior image quality for tracer kinetic studies compared with the conventional indirect OSEM for total- body imaging.
Abstract: The world's first 194-cm-long total-body PET/CT scanner (uEXPLORER) has been built by the EXPLORER Consortium to offer a transformative platform for human molecular imaging in clinical research and health care. Its total-body coverage and ultra-high sensitivity provide opportunities for more accurate tracer kinetic analysis in studies of physiology, biochemistry, and pharmacology. The objective of this study was to demonstrate the capability of total-body parametric imaging and to quantify the improvement in image quality and kinetic parameter estimation by direct and kernel reconstruction of the uEXPLORER data. Methods: We developed quantitative parametric image reconstruction methods for kinetic analysis and used them to analyze the first human dynamic total-body PET study. A healthy female subject was recruited, and a 1-h dynamic scan was acquired during and after an intravenous injection of 256 MBq of 18F-FDG. Dynamic data were reconstructed using a 3-dimensional time-of-flight list-mode ordered-subsets expectation maximization (OSEM) algorithm and a kernel-based algorithm with all quantitative corrections implemented in the forward model. The Patlak graphical model was used to analyze the 18F-FDG kinetics in the whole body. The input function was extracted from a region over the descending aorta. For comparison, indirect Patlak analysis from reconstructed frames and direct reconstruction of parametric images from the list-mode data were obtained for the last 30 min of data. Results: Images reconstructed by OSEM showed good quality with low noise, even for the 1-s frames. The image quality was further improved using the kernel method. Total-body Patlak parametric images were obtained using either indirect estimation or direct reconstruction. The direct reconstruction method improved the parametric image quality, having a better contrast-versus-noise tradeoff than the indirect method, with a 2- to 3-fold variance reduction. The kernel-based indirect Patlak method offered image quality similar to the direct Patlak method, with less computation time and faster convergence. Conclusion: This study demonstrated the capability of total-body parametric imaging using the uEXPLORER. Furthermore, the results showed the benefits of kernel-regularized reconstruction and direct parametric reconstruction. Both can achieve superior image quality for tracer kinetic studies compared with the conventional indirect OSEM for total-body imaging.
TL;DR: Ki can be reliably calculated from Gd‐DTPA‐MRI data by Patlak plots by model‐independent analysis of ΔR1, the Patlaks plot, and was much higher than normal within the ROIs, and may reflect increased capillary permeability to water.
TL;DR: To determine the accuracy of single‐kidney glomerular filtration rate (GFR) determination using contrast‐enhanced dynamic magnetic resonance imaging (MRI) and the Rutland‐Patlak plot technique.
TL;DR: In this paper, a new paradigm of dynamic whole-body PET (DWB-PET) is proposed, which can be used to produce parametric images of (i) Patlak slope (influx rate Ki) and (ii) intercept (distribution volume V), while also providing conventional SUV images by summation of dynamic frames.
Abstract: 1158 Objectives: To demonstrate that dynamic whole-body (DWB) PET is a clinical imaging tool with significant potential. DWB PET can be performed within reasonable clinical imaging times and enables generation of multiple types of PET images with complementary information in a single imaging session (<30min).
Methods: Current clinical PET protocols mirror the pattern established for traditional radiology in that they are optimized for qualitative as opposed to quantitative assessment, with documented limitations [1]. Radiotracer distribution is a dynamic process that varies substantially between organs (particularly tumors) and between patients. The uptake periods used in clinical protocols are somewhat arbitrary and are not expected to be optimal for all clinical cases. We argue that a new paradigm of DWB-PET is both feasible and has significant potential. It is made possible by ongoing technical developments; significant advancements in PET hardware, combined with statistical image reconstruction have made it possible to acquire multi-pass eyes-to-thighs imaging in clinically feasible times, achieving adequate statistical quality in less than 5 min/pass. Patlak analysis [2] is particularly suited for generation of parametric images from DWB PET because it is applicable to FDG and it does not require PET scans to sample the early tracer kinetics. Thus, DWB imaging can be used to produce parametric images of (i) Patlak slope (influx rate Ki) and (ii) intercept (distribution volume V), while also providing (iii) conventional SUV images by summation of dynamic frames. There are also means to reduce noise in the parametric Patlak slope and intercept images, by use of constrained statistical regression [3, 4], and direct 4D reconstruction of parametric images from sinogram data [5].
Results: Parametric images of both Patlak slope Ki and intercept V can be generated, in addition to conventional SUV images by summation of the dynamic frames (Figure 1a). Thus, three distinct images can be obtained from the same imaging session. The Ki image generally shows reduced normal organ uptake, particularly in the liver. Furthermore, direct 4D parametric image reconstruction can significantly improve quality and quantitative accuracy of DWB images (Figure 1b). We also have results demonstrating application of DWB imaging to beyond FDG PET/CT, for instance to PET/MR imaging, as well as Ga-68 DOTATOC PET/CT.
Conclusions: DWB-PET has a number of advantages. It can minimize time dependence of SUV activity: SUV uptake changes in time in direct proportion to changes in image uptake. Given variable scan times inherent in a busy clinical practice, this is an issue, and the proposed measures are expected to be less subject to such alterations. Furthermore, it can remove background uptake, allow small and less FDG avid tumors to be identified, and produce more quantitative estimates of tumor uptake. Overall, a new paradigm of DWB PET imaging (applicable to both PET/CT and PET/MRI) generates quantitative measures that may contribute significantly added clinical value to conventional SUV images.