#
A Short Dynamic Scan Method of Measuring Bone Metabolic Flux Using [^{18}F]NaF PET

^{1}

^{2}

^{3}

^{4}

^{*}

## Abstract

**:**

^{18}F]NaF PET measurements of bone metabolic flux (K

_{i}) are conventionally obtained with 60-min dynamic scans analysed using the Hawkins model. However, long scan times make this method expensive and uncomfortable for subjects. Therefore, we evaluated and compared measurements of K

_{i}with shorter scan times analysed with fixed values of the Hawkins model rate constants. The scans were acquired in a trial in 30 postmenopausal women, half treated with teriparatide (TPT) and half untreated. Sixty-minute PET-CT scans of both hips were acquired at baseline and week 12 after injection with 180 MBq [

^{18}F]NaF. Scans were analysed using the Hawkins model by fitting bone time–activity curves at seven volumes of interest (VOIs) with a semi-population arterial input function. The model was re-run with fixed rate-constants for dynamic scan times from 0–12 min increasing in 4-min steps up to 0–60 min. Using the Hawkins model with fixed rate-constants, K

_{i}measurements with statistical power equivalent or superior to conventionally analysed 60-min dynamic scans were obtained with scan times as short as 12 min.

## 1. Introduction

_{i}) using 60-min fluorine-18 sodium fluoride ([

^{18}F]NaF) dynamic positron emission tomography (PET) scans [1]. The Hawkins model represents [

^{18}F]NaF bone tracer kinetics by a two-tissue compartmental model and uses the 0–60 min bone time–activity curve (TAC) and the arterial plasma input function (AIF) to estimate the constants K

_{1}, k

_{2}, k

_{3}, k

_{4}and F

_{bv}. K

_{1}and k

_{2}represent the forward and backward tracer exchange rates between blood and extracellular fluid (ECF), k

_{3}and k

_{4}represent the forward and backward tracer exchange rates between ECF and bone mineral, and F

_{bv}is the fractional blood volume within the bone volume of interest (VOI). K

_{1}(units: mL min

^{−1}mL

^{−1}) is widely regarded as a measurement of bone blood flow [2]. The rate constants k

_{2}, k

_{3}and k

_{4}are in units: min

^{−1}. K

_{i}(units: mL min

^{−1}mL

^{−1}) is the [

^{18}F]NaF plasma clearance to bone mineral calculated using the equation:

_{i}= K

_{1}∗ k

_{3}/(k

_{2}+ k

_{3}),

_{i}varies with osteoblastic activity in the bone VOI [3] the measurement is sometimes referred to as bone metabolic flux [4].

_{i}from a single short (4-min) static scan acquired around 60 min after tracer injection [6]. One advantage of the static scan method is that by acquiring multiple scans at different bed positions, K

_{i}measurements can be made at several sites (for example, at the spine and hip) with one injection of the tracer. However, because no dynamic data are acquired during the first few minutes after injection, the static scan method cannot be used to measure K

_{1}as well as K

_{i}.

_{2}, k

_{3}, k

_{4}and F

_{bv}to shorten the dynamic scan and obtain K

_{i}measurements that are still as accurate and precise as those obtained from conventionally analysed 60-min scans with variable rate constants. In particular, we discuss whether, by eliminating the statistical errors in k

_{2}, k

_{3}and k

_{4}when fitting the 60-min scan data to the Hawkins model, such short-scan measurements of K

_{i}may have equal or greater statistical power for measuring response to treatment than conventionally analysed 60-min dynamic scans.

## 2. Materials and Methods

#### 2.1. Study Population

#### 2.2. PET Acquisition, Regions of Interest and Arterial Input Function

^{18}F]NaF and a 60-min dynamic PET scan acquired consisting of twenty-four 5-s, four 30-s and fourteen 240 s frames. Venous blood samples were obtained at 30, 40, 50 and 60 min, and the tracer concentration in plasma was measured in a well-counter that was cross-calibrated with the PET scanner. All activity measurements were corrected for radioactive decay back to the time of injection. Attenuation correction was applied using the CT data and PET images reconstructed by filtered back-projection using a Hanning 6.3 mm filter. PET image matrix sizes in x, y, and z-direction were 128 × 128 × 47, and voxel sizes were 2.734 × 2.734 × 3.27 mm

^{3}. CT image matrix sizes were 512 × 512 × 47, and voxel sizes were 0.977 × 0.977 × 3.27 mm

^{3}.

#### 2.3. Kinetic Modelling

_{i}: The bone TAC and AIF between 0–60 min were fitted to the Hawkins model using non-linear regression to obtain the five constants K

_{1}, k

_{2}, k

_{3}, k

_{4}and F

_{bv}(Figure 1). Values of K

_{1}, k

_{2}and k

_{3}were restricted between 0 and 1, and k

_{4}between 0 and 0.05. The bone metabolic flux in each VOI was obtained from Equation (1). The quality of the curve fit to each bone TAC was evaluated using the Akaike information criterion (AIC) [11]. The K

_{i}values obtained from the full 60-min dynamic scan data were considered the true values against which the outcomes of the short-scan evaluations were compared.

_{i}: In the short-scan analysis, shorter sections of the 60-min dynamic scan were re-analysed using fixed population average values of k

_{2}, k

_{3}, k

_{4}and F

_{bv}obtained from the full 60-min kinetic analysis described above. Population values were averaged across all seven VOIs and are listed in Table 1. The bone TAC and AIF were used to fit the Hawkins model equations in short sections from 0–12 min to 0–60 min incrementing one 4-min frame at a time (Figure 1B). The times in Figure 1B from 10 to 58 min refer to the mid-point of their respective 4-min frames. At each time point, K

_{i}was defined as the value that gave the best least-squares fit to all the 4-min frames up to that time. At each trial value of K

_{i}, the value of K

_{1}was set by inverting Equation (1) using the fixed values of k

_{2}and k

_{3}. We note that the values of K

_{1}assumed in this method are in a fixed ratio to K

_{i}and do not represent true measurements of bone blood flow. However, valid measurements of K

_{1}can be obtained by fitting the first two minutes of the dynamic scan data to a one-tissue compartmental model involving an exchange between the blood pool and ECF space. We have not performed this analysis in the present study, but note that for evaluating K

_{1}an image derived AIF is preferable to the semi-population AIF used for the present K

_{i}analysis [9].

#### 2.4. Statistical Analysis

_{i}to the 60-min Hawkins model values for all 54 baseline and 12-week PET scans at all 7 VOIs (a total of 378 data points at each time point) were plotted against the short-scan duration in 4-min intervals from 12 to 60 min. To better understand the reasons for the differences between the two K

_{i}values, at five representative times (12, 20, 32, 44 and 60 min) the same ratios were plotted against the values of k

_{3}obtained from the 60-min Hawkins model analysis and non-linear regression curve fits obtained using a web-based programme [12]. Residuals from the k

_{3}curve fit were then plotted against values of k

_{2}and a second curve fit was obtained. Finally, residuals from the k

_{2}curve fit were plotted against k

_{4}.

_{i}and 60-min Hawkins model values in the clinical trial, scatter and Bland-Altman plots were obtained at each time point and Pearson correlation coefficients and 95% limits of agreement (LOA) were evaluated. To compare the statistical power of short-scan K

_{i}and conventional 60-min Hawkins model values to evaluate response to TPT treatment, the means and standard errors of the percentage (%) changes between baseline and 12 weeks in the TPT and the control group were compared for each VOI at each short-scan time point. Values of Student’s t were used to assess the statistical significance of the response to TPT treatment at each short-scan time point for each VOI and compared with the equivalent Student’s t results for the conventional 60-min Hawkins model analyses.

_{2}, k

_{3}and k

_{4}obtained from Hawkins model analyses of the 60-min 12-week scans against the results obtained at baseline. Assuming that differences in the rate constants between baseline and 12-week scans were due to random measurement errors in the model parameters, the effects of these errors on follow-up 60-min Hawkins model K

_{i}values were evaluated and compared with the differences between the 60-min Hawkins model and short-scan measurements of K

_{i}.

## 3. Results

_{i}to the 60-min Hawkins model values for all scans at all VOIs for short dynamic scan times in increments from 12 to 60 min showed a range of values, which at their narrowest at around 32 min varied from 0.75 to 1.5 and had a small bias for short-scan K

_{i}to overestimate the 60-min Hawkins model results (Figure 2).

_{3}values (Figure 3A). The fitted curve crossed unity at k

_{3}= 0.18 min

^{−1}, equal to the fixed value of k

_{3}assumed for the short-scan analysis (Table 1). For scans with conventional 60-min Hawkins model k

_{3}values <0.18 min

^{−1}, ratios were systematically greater than unity, rising to 1.5 for the smallest k

_{3}values, while for scans with k

_{3}values >0.18 min

^{−1}the ratios tended asymptotically to 0.94. When the residuals from the curve fit in Figure 3A were plotted against the 60-min Hawkins model k

_{2}values a smaller inverted trend was found (Figure 3B). Finally, when the residuals from the k

_{2}curve fit in Figure 3B were plotted against the 60-min Hawkins model k

_{4}values there was a trend for points with k

_{4}values less than the fixed k

_{4}value of 0.014 min

^{−1}to have positive residuals and points with k

_{4}values >0.014 min

^{−1}to have negative residuals (Figure 3C). Similar results were obtained when the short-scan ratios at 12, 20, 44 and 60 min were plotted against k

_{3}, k

_{2}and k

_{4}in the same way.

_{i}values against the conventional 60-min Hawkins model results showed dispersions consistent with the findings presented above with a correlation coefficient r = 0.951 and 95% LOA of −0.0028 to +0.0041 mL min

^{−1}mL

^{−1}at 32 min (Figure A1). The question arises whether the dispersion seen in this figure means that short-scan K

_{i}results are less accurate measures of subjects’ response to treatment than conventional 60-min dynamic scan Hawkins model measurements of K

_{i}, or whether by fixing the values of k

_{2}, k

_{3}and k

_{4}a source of unwanted noise in the 60-min dynamic scan measurements is eliminated and the short-scan results are the more robust measurement. To examine this point, we compared the mean percentage changes in 60-min Hawkins model K

_{i}values in the TPT and control groups in each of the seven VOIs (Figure 4A) with the corresponding results for the 12-min (Figure 4B) and 32-min (Figure 4C) short-scan K

_{i}values. Figure 4 is annotated to show VOIs with p < 0.05, <0.01 and <0.001 compared with baseline. Comparison of Figure 4B,C with Figure 4A in terms of these p-value thresholds suggests that overall the 12-min short-scan K

_{i}analysis performed as well as the 60-min Hawkins model analysis while the 32-min analysis performed better.

_{i}results had higher Student’s t values at all scan times from 12 to 60 min. For the FN VOI, short-scan K

_{i}had higher Student’s t at all times except the 12-min scan. For the remaining three VOIs (TH, FS and ITR), short-scan K

_{i}had higher Student’s t at all scan times from 32 to 60 min.

_{2}, k

_{3}and k

_{4}results measured from the 12-week 60-min scans against the equivalent baseline measurements (Figure A3). Points in this figure with k

_{2}or k

_{3}> 0.5 min

^{−1}or k

_{4}> 0.03 min

^{−1}are predominantly measurements at the FN or TRAB VOIs with poor AIC. Assuming that the differences in the rate constants between baseline and follow-up scans are due to random measurement errors, we evaluated the effect of the differences in k

_{3}on the percentage changes in the baseline to the 12-week ratio in the 60-min Hawkins model K

_{i}using the curve fit in Figure 3A. Figure 6A shows these results plotted separately for the control and TPT arms. The two distributions can be compared with the ratios of 32-min short-scan K

_{i}to conventional 60-min Hawkins model K

_{i}plotted in Figure 6B.

## 4. Discussion

^{18}F]NaF can play an important role during the early development of new treatments for osteoporosis by measuring changes in site specific bone formation rate [3] as early as three months after commencement of treatment, thereby aiding pharmaceutical companies to decide whether new drugs should proceed to further trials [7]. As the fracture site associated with the highest mortality and morbidity, the hip is an important target for these studies. However, the long acquisition time makes the conventional 60-min scan uncomfortable for clinical trial participants, is an expensive item in the research budget and competes for scanning time with routine clinical imaging services in high demand. In this study, we investigated an alternative approach using different dynamic scan times between 12 and 60 min analysed using the Hawkins model with fixed rate-constants and obtained K

_{i}measurements with as good or better statistical power for detecting response to treatment as conventionally analysed 60-min scans with freely fitted rate constants. These results demonstrate the potential advantage of using fixed rate-constants for Hawkins model analyses.

_{i}values in Figure 2 appear to systematically overestimate conventional 60-min Hawkins model values with a mean bias of approximately 5% at scan times around 30 min, this bias is explained by the non-linear curve fitted to the data in Figure 3A. In this figure, the short-scan and 60-min Hawkins model K

_{i}values become equal with no bias at the short-scan fixed k

_{3}value of 0.187 min

^{−1}. The fitted curve equals 1.05 at k

_{3}= 0.124 min

^{−1}, and choosing this latter as the fixed value of k

_{3}would remove the 5% bias noted above. The trends seen in Figure 3 are explained by the effects of changes in the Hawkins model rate constants k

_{2}, k

_{3}and k

_{4}on the TACs for the bone mineral compartment (the blue curve in Figure 1B) and the bone ECF compartment (the green curve in Figure 1B). As k

_{3}increases, at later time points in Figure 1B, a greater proportion of the [

^{18}F]NaF tracer in the bone VOI resides in the bone mineral compartment and less in the bone ECF compartment. Hence, the value of the 60-min Hawkins model K

_{i}increases at higher k

_{3}values and, relative to the short-scan K

_{i}value calculated with a fixed value of k

_{3}, the ratio plotted on the vertical axis in Figure 3A decreases. A detailed explanation of the trends shown in Figure 3 is complicated by the correlations between the three rate constants obtained from the curve fits to the 60-min bone VOI TACs. Both k

_{2}(r = 0.557, p < 0.001) and k

_{4}(r = 0.403, p < 0.001) correlate positively with k

_{3}. Additionally, k

_{3}(r = 0.227, p < 0.001) and k

_{4}(r = 0.490, p < 0.001) both correlate with K

_{i}. Given these relationships, it seems likely that the strong trend seen in Figure 3A already incorporates some of the dependence of K

_{i}on k

_{2}and k

_{4}as well as k

_{3}and may explain the weaker trends seen in Figure 3B,C.

^{18}F]NaF PET imaging of the hip is the time-varying streaking artefacts sometimes seen in VOIs in close proximity to the bladder [13]. In the present study, this effect is seen in the systematically poorer AIC values to the Hawkins model fits for the FN and TRAB sites compared with the other five sites. This explains most of the outlier points with high k-numbers seen in Figure 3 and some of the outliers in Figure 2. It also explains why these VOIs performed less well at measuring the treatment effect in Figure 4 and Figure 5.

_{i}calculated with fixed values of the Hawkins model rate constants and conventional 60-min dynamic scan values with freely fitted values raises the question of which method is optimal for clinical trial studies. This is a pragmatic question: the better method for clinical trials is the one with the best statistical power to discriminate changes in K

_{i}values due to therapies that modify bone metabolism. The optimum method can be identified as the one that gives p-values with higher statistical significance or allows research studies to achieve the same p-value with fewer participants. Figure 4 demonstrates that short-scan results with scan times around 30 min gave similar % changes in K

_{i}values as conventionally analysed 60-min scans but with smaller p-values at four of the seven sites. Figure 5 shows that as assessed by a Student’s t analysis, all seven sites performed better at 60-min if analysed using fixed values of the Hawkins model rate constants rather than freely fitted values. At three sites a 12-min short-scan performed better than the conventional 60-min analysis. The above findings suggest that the poor repeatability of the Hawkins model rate constants apparent in Figure A3 is a contributory factor to imprecision in the resulting K

_{i}values and that any errors entailed in the short-scan method using fixed rate-constants may be preferable to the random measurement errors in the freely fitted 60-min Hawkins rate constants. Figure 6 demonstrates that scan-to-scan changes in 60-min Hawkins model K

_{i}results explained by the relationship with k

_{3}shown in Figure 3A are comparable to the differences between the short-scan K

_{i}values calculated with fixed k-numbers and the conventional Hawkins model analysis with freely fitted k-numbers.

^{18}F]FDG PET scan and found a good correlation between the K

_{i}values obtained from 30-min and 60-min scans in patients with lung cancer. However, their study did not examine the effect of the shorter scan time on the statistical analysis of longitudinal studies. Strauss et al. [15] compared the use of a 10-min dynamic [

^{18}F]FDG PET scan combined with a static scan at 60 min for predicting individual k-values (K

_{1}, k

_{2}, k

_{3}, k

_{4}, F

_{bv}, K

_{i}) in tumours compared with a full 60-min dynamic scan. Again, although good correlations were reported, the study did not address the issue of longitudinal studies and required a static scan at a later time point, which defeats the benefits of a short early scan. Subsequently, Disselhorst et al. [16] drew attention to the fact that delineation of tumour VOIs may differ significantly depending on time after injection and that this might be an issue for short-scan protocols. This was not a problem in the present study as the VOIs were delineated on CT images and then transferred to the PET dynamic image frames. Peters et al. [17] evaluated a 30-min dynamic [

^{18}F]NaF PET protocol for assessing bone metabolic activity after spinal fusion surgery by comparing VOIs at the control and operated sites. However, they did not compare their K

_{i}results from 30 min scan against the standard 60 min scan due to the infeasibility of long scan times in patients with back pain.

^{18}F]NaF PET imaging and has the advantage that bone tracer uptake at this site is typically three times greater than at the hip [18], and hence the 60-min Hawkins model rate constants might be more reproducible. Additionally, in the present study, we were unable to compare measurements of the Hawkins model parameter K

_{1}between short-scan and conventional 60-min scans. Unlike measurements of bone metabolic flux using 60-min dynamic scans, for which the terminal exponential accounts for 80% of the area under the plasma curve [9], bone blood flow measurements are best performed using individual measurements of the arterial input function over the peak of the bolus injection. Limitations of the short dynamic scan method described here include the fact that additional static scans are required if bone metabolic flux is measured at additional bed positions using the static scan method [6]. However, the overall PET scanning time would still be shorter compared with performing a 60-min dynamic scan.

## 5. Conclusions

^{18}F]NaF PET measurements of bone metabolic flux at the hip that uses fixedrate-constants in the Hawkins model to achieve equivalent or superior statistical power to the conventional 60-min dynamic scan and offers more efficient use of scan time in high demand for routine clinical services.

## Author Contributions

## Funding

## Institutional Review Board Statement

## Informed Consent Statement

## Data Availability Statement

## Acknowledgments

## Conflicts of Interest

## Appendix A

**Figure A1.**(

**A**) Scatter and (

**B**) Bland-Altman plots of the 32-min short-scan K

_{i}and the 60-min Hawkins model values for the data plotted in Figure 3. The 378 data points in each plot were derived from 54 PET scans (27 baseline and 27 follow-up scans) with 7 volumes of interest analysed on each scan.

**Figure A2.**Akaike information criterion (AIC) results for the 0–60min PET scan Hawkins model curve fits for all volumes of interest (VOI) (FS: femoral shaft VOI; ITR: intertrochanteric VOI; FN: femoral neck VOI; TH: total hip VOI; CORT: cortical bone VOI; TRAB: trabecular bone VOI; PELV: pelvis VOI). Data at each VOI are for both the baseline and 12-week follow-up scans.

**Figure A3.**Scatter plots of 60-min Hawkins model k-number values for the baseline and 12-week scans for: (

**A**) k

_{2}; (

**B**) k

_{3}; (

**C**) k

_{4}. The graphs in (

**D**–

**F**) show the respective Bland-Altman plots. The diamond-shaped dashed lines show the limits imposed by the restrictions placed on the values of the three rate constants. Points in this figure with k

_{2}or k

_{3}> 0.5 min

^{−1}or k

_{4}> 0.03 min

^{−1}are predominantly measurements at the FN or TRAB VOIs with poor AIC.

## References

- Hawkins, R.A.; Choi, Y.; Huang, S.C.; Hoh, C.K.; Dahlbom, M.; Schiepers, C.; Satyamurthy, N.; Barrio, J.R.; Phelps, M.E. Evaluation of the skeletal kinetics of fluorine-18-fluoride ion with PET. J. Nucl. Med.
**1992**, 33, 633–642. [Google Scholar] [PubMed] - Piert, M.; Zittel, T.T.; Machulla, H.-J.; Becker, G.A.; Jahn, M.; Maier, G.; Bares, R.; Becker, H.D. Blood Flow Measurements with [
^{15}O]H_{2}O and [^{18}F]Fluoride Ion PET in Porcine Vertebrae. J. Bone Miner. Res.**1998**, 13, 1328–1336. [Google Scholar] [CrossRef] [PubMed] - Aaltonen, L.; Koivuviita, N.; Seppänen, M.; Tong, X.; Kröger, H.; Löyttyniemi, E.; Metsärinne, K. Correlation between 18F-Sodium Fluoride positron emission tomography and bone histomorphometry in dialysis patients. Bone
**2020**, 134, 115267. [Google Scholar] [CrossRef] [PubMed] - Azad, G.K.; Siddique, M.; Taylor, B.; Green, A.; O’Doherty, J.; Gariani, J.; Blake, G.M.; Mansi, J.; Goh, V.; Cook, G.J. Is Response Assessment of Breast Cancer Bone Metastases Better with Measurement of 18F-Fluoride Metabolic Flux Than with Measurement of 18F-Fluoride PET/CT SUV? J. Nucl. Med.
**2018**, 60, 322–327. [Google Scholar] [CrossRef] [PubMed][Green Version] - Keppler, J.S.; Conti, P.S. A Cost Analysis of Positron Emission Tomography. Am. J. Roentgenol.
**2001**, 177, 31–40. [Google Scholar] [CrossRef] [PubMed] - Siddique, M.; Blake, G.M.; Frost, M.L.; Moore, A.E.B.; Puri, T.; Marsden, P.K.; Fogelman, I. Estimation of regional bone metabolism from whole-body 18F-fluoride PET static images. Eur. J. Nucl. Med. Mol. Imaging
**2012**, 39, 337–343. [Google Scholar] [CrossRef] [PubMed] - Frost, M.L.; Moore, A.E.; Siddique, M.; Blake, G.M.; Laurent, D.; Borah, B.; Schramm, U.; Valentin, M.-A.; Pellas, T.C.; Marsden, P.K.; et al. 18F-fluoride PET as a noninvasive imaging biomarker for determining treatment efficacy of bone active agents at the hip: A prospective, randomized, controlled clinical study. J. Bone Miner. Res.
**2013**, 28, 1337–1347. [Google Scholar] [CrossRef] [PubMed] - Puri, T.; Blake, G.M.; Curran, K.M.; Carr, H.; Moore, A.E.; Colgan, N.; O’Connell, M.J.; Marsden, P.K.; Fogelman, I.; Frost, M.L. Semiautomatic Region-of-Interest Validation at the Femur in 18F-Fluoride PET/CT. J. Nucl. Med. Technol.
**2012**, 40, 168–174. [Google Scholar] [CrossRef] [PubMed][Green Version] - Blake, G.M.; Siddique, M.; Puri, T.; Frost, M.L.; Moore, A.E.; Cook, G.J.R.; Fogelman, I. A semipopulation input function for quantifying static and dynamic 18F-fluoride PET scans. Nucl. Med. Commun.
**2012**, 33, 881–888. [Google Scholar] [CrossRef] [PubMed] - Cook, G.J.R.; Lodge, M.A.; Marsden, P.K.; Dynes, A.; Fogelman, I. Non-invasive assessment of skeletal kinetics using fluorine-18 fluoride positron emission tomography: Evaluation of image and population-derived arterial input functions. Eur. J. Nucl. Med. Mol. Imaging
**1999**, 26, 1424–1429. [Google Scholar] [CrossRef] [PubMed] - Portet, S. A primer on model selection using the Akaike Information Criterion. Infect. Dis. Model.
**2020**, 5, 111–128. [Google Scholar] [CrossRef] [PubMed] - My Curve Fit Online Curve Fitting. Available online: https://mycurvefit.com (accessed on 1 March 2021).
- Wong, J.M.; Puri, T.; Siddique, M.M.; Frost, M.L.; Moore, A.E.B.; Blake, G.M.; Fogelman, I. Comparison of ordered-subset expectation maximization and filtered back projection reconstruction based on quantitative outcome from dynamic [
^{18}F]NaF PET images. Nucl. Med. Commun.**2021**, 42, 699–706. [Google Scholar] [CrossRef] - Torizuka, T.; Nobezawa, S.; Momiki, S.; Kasamatsu, N.; Kanno, T.; Yoshikawa, E.; Futatsubashi, M.; Okada, H.; Ouchi, Y. Short dynamic FDG-PET imaging protocol for patients with lung cancer. Eur. J. Nucl. Med. Mol. Imaging
**2000**, 27, 1538–1542. [Google Scholar] [CrossRef] - Strauss, L.G.; Dimitrakopoulou-Strauss, A.; Haberkorn, U. Shortened PET data acquisition protocol for the quantification of 18F-FDG kinetics. J. Nucl. Med.
**2003**, 44, 1933–1939. [Google Scholar] [PubMed] - Disselhorst, J.A.; Vriens, D.; De Geus-Oei, L.-F.; Oyen, W.J.G.; Visser, E.P. Shortened dynamic (
^{18})F-FDG PET. J. Nucl. Med.**2011**, 52, 1330. [Google Scholar] [CrossRef][Green Version] - Peters, M.J.M.; Wierts, R.; Jutten, E.M.C.; Halders, S.G.E.A.; Willems, P.C.P.H.; Brans, B. Evaluation of a short dynamic 18F-fluoride PET/CT scanning method to assess bone metabolic activity in spinal orthopedics. Ann. Nucl. Med.
**2015**, 29, 799–809. [Google Scholar] [CrossRef] [PubMed][Green Version] - Puri, T.; Frost, M.L.; Curran, K.M.; Siddique, M.; Moore, A.E.B.; Cook, G.J.R.; Marsden, P.K.; Fogelman, I.; Blake, G.M. Differences in regional bone metabolism at the spine and hip: A quantitative study using 18F-fluoride positron emission tomography. Osteoporos. Int.
**2012**, 24, 633–639. [Google Scholar] [CrossRef]

**Figure 1.**(

**A**) Hawkins model with extracellular fluid (ECF) and bone mineral compartments. The black rectangular boundary shows the skeletal volume of interest (VOI) used to obtain the bone time–activity curve (TAC), which includes the fractional blood volume (F

_{bv}). K

_{1}and k

_{2}represent the forward and backward tracer exchange rates between blood and ECF, and k

_{3}and k

_{4}represent the forward and backward tracer exchange rates between ECF and bone mineral. Values of bone metabolic flux (K

_{i}) were calculated using Equation (1). (

**B**) Variation of tracer concentration in different compartments of the Hawkins model between 0 and 60 min. Times marked with arrows show the mid-times of successive 4-min frames. Short-scan values of K

_{i}were calculated for each 4-min frame with mid-times between 10 and 58 min (corresponding to full dynamic scan times between 12 and 60 min).

**Figure 2.**Plot of the ratios of short dynamic scan K

_{i}values to the 60-min Hawkins model values for short-scan times between 12 and 60 min incremented in steps of 4 min. Data at each time point are for 54 [

^{18}F]NaF PET hip scans (27 baseline and 27 follow-up scans) with 7 volumes of interest analysed for each scan giving a total of 378 data points at each time point.

**Figure 3.**(

**A**) Ratios of the 32-min short-scan K

_{i}values to the 60-min Hawkins model values shown in Figure 2 plotted against the Hawkins model k

_{3}values. The continuous black line is the least-squares fit to the 378 data points. (

**B**) Residuals from the curve fit in (

**A**) plotted against the Hawkins model k

_{2}values. The continuous black line is the least-squares fit to the data points. (

**C**) Residuals from the curve fit in (

**B**) plotted against the Hawkins model k

_{4}values.

**Figure 4.**(

**A**) Mean percentage change in 60-min Hawkins model K

_{i}values between baseline and week 12 for teriparatide (TPT) treated and control groups for each of the seven volumes of interest (VOI) (FS: femoral shaft VOI; ITR: intertrochanteric VOI; FN: femoral neck VOI; TH: total hip VOI; CORT: cortical bone VOI; TRAB: trabecular bone VOI; PELV: pelvis VOI). Error bars are 95% CI. (

**B**) Same as (

**A**) but for the 12-min short-scan K

_{i}data. (

**C**) Same as (

**B**) but for the 32-min short-scan K

_{i}data. * p < 0.05 relative to baseline; ** p < 0.01; *** p < 0.001.

**Figure 5.**Values of Student’s t for the changes in the short-scan measurements of Ki between baseline and 12-weeks in the TPT group for scan times between 12 and 60 min. Results are shown separately for each of the seven volumes of interest (VOI). (

**A**) CORT: cortical bone VOI; TH: total hip VOI; (

**B**) FN: femoral neck VOI; PELV: pelvis VOI; (

**C**) FS: femoral shaft VOI; ITR: intertrochanteric VOI; TRAB: trabecular bone VOI. For each VOI, the value of Student’s t for the 60-min Hawkins model analysis is shown for comparison. Dotted lines indicate values of Student’s t for p = 0.05, p = 0.01 and p = 0.001.

**Figure 6.**(

**A**) The percentage changes in the Hawkins model 60-min dynamic scan K

_{i}measurements between baseline and 12-week follow-up scans explained by the differences in the Hawkins model k

_{3}parameter between the two scans. The distribution is shown separately for the control and TPT groups. The predicted changes were calculated from the curve fit in Figure 3A. (

**B**) Percentage differences between the 32-min short-scan K

_{i}measurements and the Hawkins model 60-min dynamic scan K

_{i}values assuming that the freely fitted values of k

_{3}are correct.

**Table 1.**Population values of the Hawkins model rate constants in Figure 1A used for the short dynamic scan analyses. The value of K

_{1}was set using Equation (1).

Hawkins Model Parameter | Population Values |
---|---|

k_{2} | 0.194 min^{−1} |

k_{3} | 0.187 min^{−1} |

k_{4} | 0.014 min^{−1} |

F_{bv} | 0.002 |

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

## Share and Cite

**MDPI and ACS Style**

Puri, T.; Siddique, M.M.; Frost, M.L.; Moore, A.E.B.; Blake, G.M. A Short Dynamic Scan Method of Measuring Bone Metabolic Flux Using [^{18}F]NaF PET. *Tomography* **2021**, *7*, 623-635.
https://doi.org/10.3390/tomography7040053

**AMA Style**

Puri T, Siddique MM, Frost ML, Moore AEB, Blake GM. A Short Dynamic Scan Method of Measuring Bone Metabolic Flux Using [^{18}F]NaF PET. *Tomography*. 2021; 7(4):623-635.
https://doi.org/10.3390/tomography7040053

**Chicago/Turabian Style**

Puri, Tanuj, Musib M. Siddique, Michelle L. Frost, Amelia E. B. Moore, and Glen M. Blake. 2021. "A Short Dynamic Scan Method of Measuring Bone Metabolic Flux Using [^{18}F]NaF PET" *Tomography* 7, no. 4: 623-635.
https://doi.org/10.3390/tomography7040053