Quantitative PET in the 2020s: a roadmap.

Positron emission tomography (PET) plays an increasingly important role in research and clinical applications, catalysed by remarkable technical advances and a growing appreciation of the need for reliable, sensitive biomarkers of human function in health and disease. Over the last 30 years, a large amount of the physics and engineering effort in PET has been motivated by the dominant clinical application during that period, oncology. This has led to important developments such as PET/CT, whole-body PET, 3D PET, accelerated statistical image reconstruction, and time-of-flight PET. Despite impressive improvements in image quality as a result of these advances, the emphasis on static, semi-quantitative 'hot spot' imaging for oncologic applications has meant that the capability of PET to quantify biologically relevant parameters based on tracer kinetics has not been fully exploited. More recent advances, such as PET/MR and total-body PET, have opened up the ability to address a vast range of new research questions, from which a future expansion of applications and radiotracers appears highly likely. Many of these new applications and tracers will, at least initially, require quantitative analyses that more fully exploit the exquisite sensitivity of PET and the tracer principle on which it is based. It is also expected that they will require more sophisticated quantitative analysis methods than those that are currently available. At the same time, artificial intelligence is revolutionizing data analysis and impacting the relationship between the statistical quality of the acquired data and the information we can extract from the data. In this roadmap, leaders of the key sub-disciplines of the field identify the challenges and opportunities to be addressed over the next ten years that will enable PET to realise its full quantitative potential, initially in research laboratories and, ultimately, in clinical practice.

Markerless motion estimation for motion-compensated clinical brain imaging.

Motion-compensated brain imaging can dramatically reduce the artifacts and quantitative degradation associated with voluntary and involuntary subject head motion during positron emission tomography (PET), single photon emission computed tomography (SPECT) and computed tomography (CT). However, motion-compensated imaging protocols are not in widespread clinical use for these modalities. A key reason for this seems to be the lack of a practical motion tracking technology that allows for smooth and reliable integration of motion-compensated imaging protocols in the clinical setting. We seek to address this problem by investigating the feasibility of a highly versatile optical motion tracking method for PET, SPECT and CT geometries. The method requires no attached markers, relying exclusively on the detection and matching of distinctive facial features. We studied the accuracy of this method in 16 volunteers in a mock imaging scenario by comparing the estimated motion with an accurate marker-based method used in applications such as image guided surgery. A range of techniques to optimize performance of the method were also studied. Our results show that the markerless motion tracking method is highly accurate (<2 mm discrepancy against a benchmarking system) on an ethnically diverse range of subjects and, moreover, exhibits lower jitter and estimation of motion over a greater range than some marker-based methods. Our optimization tests indicate that the basic pose estimation algorithm is very robust but generally benefits from rudimentary background masking. Further marginal gains in accuracy can be achieved by accounting for non-rigid motion of features. Efficiency gains can be achieved by capping the number of features used for pose estimation provided that these features adequately sample the range of head motion encountered in the study. These proof-of-principle data suggest that markerless motion tracking is amenable to motion-compensated brain imaging and holds good promise for a practical implementation in clinical PET, SPECT and CT systems.

Simulation-based optimisation of the PET data processing for partial saturation approach protocols.

Positron emission tomography (PET) with [(11)C]Raclopride is an important tool for studying dopamine D2 receptor expression in vivo. [(11)C]Raclopride PET binding experiments conducted using the Partial Saturation Approach (PSA) allow the estimation of receptor density (B(avail)) and the in vivo affinity appK(D). The PSA is a simple, single injection, single scan experimental protocol that does not require blood sampling, making it ideal for use in longitudinal studies. In this work, we generated a complete Monte Carlo simulated PET study involving two groups of scans, in between which a biological phenomenon was inferred (a 30% decrease of B(avail)), and used it in order to design an optimal data processing chain for the parameter estimation from PSA data. The impact of spatial smoothing, noise removal and image resolution recovery technique on the statistical detection was investigated in depth. We found that image resolution recovery using iterative deconvolution of the image with the system point spread function associated with temporal data denoising greatly improves the accuracy and the statistical reliability of detecting the imposed phenomenon. Before optimisation, the inferred B(avail) variation between the two groups was underestimated by 42% and detected in 66% of cases, while a false decrease of appK(D) by 13% was detected in more than 11% of cases. After optimisation, the calculated B(avail) variation was underestimated by only 3.7% and detected in 89% of cases, while a false slight increase of appK(D) by 3.7% was detected in only 2% of cases. We found during this investigation that it was essential to adjust a factor that accounts for difference in magnitude between the non-displaceable ligand concentrations measured in the target and in the reference regions, for different data processing pathways as this ratio was affected by different image resolutions.

Left ventricular systolic function in HER2/neu negative breast cancer patients treated with anthracycline chemotherapy: a comparative analysis of left ventricular ejection fraction and myocardial strain imaging over 12 months.

AIM: Anthracycline agents are undermined by their cardiotoxicity. As life expectancy following treatment is greatly improved, techniques that ensure early detection and timely management of cardiotoxicity are essential. The aim of the present study was to evaluate left ventricular (LV) systolic function with LV ejection fraction (LVEF) and two-dimensional myocardial strain up to 12 months after anthracycline chemotherapy, specifically in HER2/neu negative breast cancer patients. METHODS: Seventy-eight consecutive anthracycline naïve breast cancer patients were studied before and immediately after anthracycline chemotherapy. Fifty HER2/neu negative patients were studied over 12 months with serial echocardiograms at four time points. All patients were treated with standard regimens containing anthracyclines. RESULTS: Global systolic strain was significantly reduced immediately after, and 6 months after anthracyclines (-19.0 ± 2.3% to -17.5 ± 2.3% (P<0.001) and -18.2 ± 2.2% (P=0.01) respectively). A non-uniform reduction in strain was observed each time with relative sparing of the LV apex. LVEF remained largely unchanged at both time points. Global strain normalised by 12 months in the majority of patients. Persistently reduced strain was observed in 16% (n=8); these patients had a greater reduction in strain at 6 months (≤ -17.2%), and had received higher cumulative anthracycline doses. CONCLUSION: Myocardial strain imaging is more sensitive than LVEF for the early detection and intermediate term monitoring of LV systolic function following anthracycline chemotherapy in HER2/neu negative breast cancer patients, and may aid in the development of improved monitoring protocols.

Altered left ventricular longitudinal diastolic function correlates with reduced systolic function immediately after anthracycline chemotherapy.

AIMS: The benefits from anthracycline chemotherapy are undermined by potentially life-threatening cardiotoxicity. Transthoracic echocardiography is the most commonly used method for monitoring cardiotoxicity, and centres on the measurement of left ventricular systolic function. The aim of this study was to utilize two-dimensional speckle tracking echocardiography (2DSTE) at baseline and immediately after anthracycline chemotherapy to investigate whether patients with significant changes in systolic function after anthracycline therapy would also develop alterations in diastolic parameters. METHODS AND RESULTS: Fifty-two women with histologically confirmed breast cancer were prospectively recruited. Echocardiograms were performed 1 week prior to and 1 week following chemotherapy (always before adjuvant trastuzumab or thoracic radiotherapy). Conventional Doppler, tissue velocity imaging (TVI), and 2DSTE were used to measure diastolic function. 2DSTE measurements included longitudinal diastolic strain, early (E-Sr), and late (A-Sr) myocardial strain rate. 2DSTE and left ventricular ejection fraction (LVEF) were used to measure longitudinal systolic function. Altered LV diastolic function (including E-Sr) was observed in the entire cohort after chemotherapy, with a differential reduction in participants with a post therapy LVEF <55%. Pre-chemotherapy systolic strain was found to predict reduced E-Sr post therapy (P = 0.04). Univariate predictors of E-Sr were LVEF post therapy (P = 0.049) and systolic strain post-therapy (P = 0.01). In a multivariate analysis, systolic strain after chemotherapy was the strongest independent predictor (P = 0.001). CONCLUSION: Altered LV diastolic function was observed immediately after the administration of therapeutic doses of anthracycline chemotherapy. Furthermore, our analysis indicates that the changes in diastolic function are associated with reduced systolic function.

The 18 kDa translocator protein (peripheral benzodiazepine receptor) expression in the bone of normal, osteoprotegerin or low calcium diet treated mice.

The presence of the translocator protein (TSPO), previously named as the mitochondrial or peripheral benzodiazepine receptor, in bone cells was studied in vitro and in situ using RT-qPCR, and receptor autoradiography using the selective TSPO ligand PK11195.In vitro, the TSPO is highly expressed in osteoblastic and osteoclastic cells.In situ, constitutive expression of TSPO is found in bone marrow and trabecular bone, e.g., spongiosa. Mice with a reduction of bone turnover induced by a 4-day treatment of osteoprotegerin reduces [(3)H]PK11195 binding in the spongiosa (320±128 Bq x mg(-1), 499±106 Bq x mg(-1) in saline-treated controls). In contrast, mice with an increase in bone turnover caused by a 4-day low calcium diet increases [(3)H]PK11195 binding in the spongiosa (615±90 Bq x mg(-1)). Further, our study includes technical feasibility data on [(18)F]fluoride microPET imaging of rodent bone with altered turnover. Despite [(18)F]fluoride having high uptake, the in vivo signal differences were small. Using a phantom model, we describe the spillover effect and partial volume loss that affect the quantitative microPET imaging of the small bone structures in experimental mouse models. In summary, we demonstrate the expression of TSPO in small rodent bone tissues, including osteoblasts and osteoclasts. A trend increase in TSPO expression was observed in the spongiosa from low to high bone turnover conditions. However, despite the potential utility of TSPO expression as an in vivo biomarker of bone turnover in experimental rodent models, our small animal PET imaging data using [(18)F]fluoride show that even under the condition of a good biological signal-to-noise ratio and high tracer uptake, the currently achievable instrument sensitivity and spatial resolution is unlikely to be sufficient to detect subtle differences in small structures, such as mouse bone.

Two-dimensional myocardial strain imaging detects changes in left ventricular systolic function immediately after anthracycline chemotherapy.

AIMS: The efficacy of anthracyclines is undermined by potential life-threatening cardiotoxicity. Cardiotoxicity is dependent upon several factors and the timing to its development is variable. Moreover, as adjuvant therapy with trastuzumab often follows, a close monitoring of cardiac function in those treated with anthracyclines is mandatory. Left ventricular ejection fraction (LVEF) by echocardiography is currently used for monitoring cardiotoxicity; however, LVEF has numerous limitations. Two-dimensional strain imaging may provide a more sensitive measure of altered LV systolic function, so the aim of the present study was to compare LVEF and LV systolic strain before and after anthracyclines. METHODS AND RESULTS: Fifty-two women with histologically confirmed breast cancer were prospectively studied. Echocardiographic LVEF (by Simpson's method), global and regional peak longitudinal, radial, and circumferential 2D systolic strain were measured 1 week before and 1 week after chemotherapy. Global and regional longitudinal LV systolic strain was significantly reduced after treatment; global longitudinal strain decreased from -17.7 to -16.3% (P < 0.01) with 48% of global measurements reduced by >10%. Global and regional radial LV systolic strain after treatment was also significantly reduced; global radial strain dropped from 40.5 to 34.5% (P < 0.01) with 59% of global measurements reduced by >10%. In contrast, no reduction in LVEF >10% after chemotherapy was observed. CONCLUSION: Reduced LV systolic strain immediately after anthracycline treatment may indicate early impairment of myocardial function before detectable change in LVEF.

Benchmarking of a motion sensing system for medical imaging and radiotherapy.

We have tested the performance of an Optotrak Certus system, which optically tracks multiple markers, in both position and time. To do this, we have developed custom code which enables a range of testing protocols, and make this code available to the community. We find that the Certus' positional accuracy is very high, around 20 microm at a distance of 2.8 m. In contrast, we find that its timing accuracy is typically no better than around 5-10% for typical data rates, whether one is using an ethernet connection or a dedicated SCSI link from the system to a host computer. However, with our code we are able to attach very accurate timestamps to the data frames, and in cases where regularly-spaced data are not an absolute requirement, this will be more than adequate.