Background
Selective internal radiation therapy (SIRT) is a valuable locoregional therapeutic option for inoperable hepatocellular carcinoma (HCC). Injection of
99mTc-labeled macroaggregated albumin (MAA) followed by planar scintigraphy and SPECT acquisitions prior to therapy (referred to as the “simulation” phase) is part of the SIRT general procedure. The aim is to assess lung shunt fraction, detect any extrahepatic uptake, and predict
90Y-microsphere distribution. However, although largely discussed in the literature [
1‐
6], the ability of the
99mTc-MAA simulation to predict actual
90Y-microsphere therapy is still debated.
Interest for activity planning using MAA-based personalized dosimetry is growing in SIRT [
2,
6,
7]. Physical property differences between MAA and microspheres (size/shape, density, amount of particles injected, etc.) [
1], the two-stage procedure, and the different imaging modalities used lead to expect variations in dosimetry estimations. A few studies have addressed this issue so far. Gnesin et al. compared predictive and delivered doses to the tumor and normal liver (NL) calculated at the voxel level based on the
99mTc-MAA SPECT/CT and
90Y-microsphere PET/CT for both glass and resin microsphere SIRT [
5]. They concluded that the predictive dose based on the
99mTc-MAA SPECT/CT is a valuable predictor of post-treatment dosimetry with discrepancies in some specific patient cases. Contrariwise, Haste et al. concluded on a patient cohort treated with glass microspheres that
99mTc-MAA SPECT/CT is a poor predictor of
90Y-microsphere tumor dose but can be used for NL dose prediction [
3]. Song et al. used the partition model on a population treated with resin microsphere, to report a good correlation between pre- and post-treatment doses despite significant differences, and suggested to use MAA planning as a conservative planning method [
4]. According to Gnesin et al. and Song et al., discrepancies between pre- and post-treatment dose estimates may be attributed to different factors which respective influence remain unclear: flow differences between MAA and microspheres, catheter position deviations, differences between imaging modalities used, etc.
The aim of this study was to analyze the differences between 99mTc-MAA SPECT/CT and 90Y-microsphere PET/CT dosimetry, investigating factors related to activity preparation and delivery, imaging modality used, and interventional radiology, based on an HCC patient cohort treated with glass microspheres.
Methods
Patient characteristics
Twenty-three unresectable HCC patients treated at our institution by SIRT using
90Y glass microspheres from October 2015 to September 2018 were considered for this retrospective study. Among them, nine and four patients were included in DOSISPHERE and STOPHCC trials respectively [
8,
9]. Authorization for the ancillary study was obtained from the principal investigators.
All the patients received the injection of microspheres in a single session except for one patient who underwent two sequential SIRT due to a reflux during injection at the first session. For this
99mTc-MAA/
90Y-microsphere dosimetry comparison, these two sessions were considered as distinct procedures. All selected patients were at an intermediate or advanced stage of the disease. Baseline characteristics of the patients included are summarized in Table
1.
Table 1
Baseline characteristics for the 23 patients
Age (years) | 63 ± 9 |
Sex (n) |
Male | 21 |
Female | 2 |
Child-Pugh class* (n) |
A5 | 19 |
A6 | 2 |
B7 | 1 |
BCLC stage (n) |
B | 2 |
C | 21 |
Prior local therapy** (n) |
Yes | 6 |
No | 17 |
Tumor morphology (n) |
Infiltrative | 15 |
Nodular | 8 |
Portal vein thrombosis (n) |
Yes | 20 |
No | 3 |
Total tumor volume (mL)*** |
Mean ± SD | 437 ± 344 |
Median [range] | 353 [58–1250] |
Liver tumor involvement (n) |
< 25% | 15 |
25–50% | 8 |
Treatment (n + 1) |
Whole liver | 1 |
Lobar | 17 |
Sectorial | 4 |
Segmental | 2 |
General procedure
SIRT was applied following the general procedure described in the literature [
10]. Prior to the treatment, an angiography was performed for hepatic vasculature mapping, potential coil embolization of extrahepatic vessels, and determination of optimal catheter position. This was followed by injection of a standardized activity of 185 MBq of
99mTc-MAA and acquisition within an hour of planar images for assessment of lung shunting and SPECT/CT for visualization of potential extrahepatic microsphere deposition and tumor targeting and for activity planning. For patients included in trials, the activity to be delivered was planned according to the protocol instructions, i.e., for DOSISPHERE trial, delivering 120 ± 20 Gy to the treated liver or more than 205 Gy to the tumor (standard vs. optimized dosimetry arm [
8]), and for STOPHCC trial, delivering 120 Gy ± 10% to the treated lobe of the liver [
9]. For patients not included in any trials, activity was planned using personalized dosimetry with a 205 Gy minimum mean dose objective to the tumor [
2] and a maximum mean dose of 50 Gy and 30 Gy to the NL and to the lungs respectively. Doses were assessed on the
99mTc-MAA SPECT images using a voxel-based approach detailed in the dosimetry paragraph.
90Y glass microspheres (TheraSphere®, BTG Biocompatibles Ltd., Farnham, UK) were ordered through the form provided by the manufacturer including an estimated 2% residual activity as a preventive measure.
90Y-microspheres were administered 18 ± 7 days after the simulation stage (range 12–37 days) according to the manufacturer’s instructions. Before injection, the
90Y activity in the microsphere vial was systematically measured with the dose calibrator. Residual activity in the vial and the radiology material used was systematically assessed following the manufacturer recommendations [
11], i.e., considering the ratio of the mean dose rate measured at four 90°-spaced points after and before injection. This ratio was then applied to the vial activity measured before injection to deduce the residual activity. The delivered activity, defined as the subtraction between the vial activity before injection and the residual activity, was 3.6 ± 1.2 GBq with a range of 0.9–6.6 GBq.
90Y PET/CT images were acquired on the following day.
Imaging
SPECT/CT data were acquired on a Symbia Intevo system (Siemens Healthcare, Erlangen, Germany) with the following parameters: window of 140 keV ± 7.5%, 32 projections per head, 25 s/projection, matrix 128 × 128, voxel size 4.79 mm × 4.79 mm × 4.79 mm, and low energy collimator. SPECT/CT data were reconstructed with Flash 3D Iterative Reconstruction was applied using 5 iterations/8 subsets, 6 mm Gaussian filter, with attenuation correction using a CT attenuation map, and scatter correction applying the Jaszczak method (dual-energy-window scatter correction, with a scatter window of 120 keV ± 7.5%, weighting factor of 0.5).
PET/CT data were obtained on a Biograph mCT flow (Siemens) with liver-centered continuous bed motion image acquisitions (bed speed of 0.2 mm/s). The PET/CT reconstruction parameters used for SIRT dosimetry were TrueX + time of flight reconstruction algorithm (Siemens), all-pass filter, 2 iterations, 21 subsets, and matrix 200 × 200 with voxel size 4.07 × 4.07 × 2.03 mm
3.
90Y PET data were corrected for attenuation and scatter using the single scatter simulation method. The PET scanner was calibrated by the manufacturer to measure
90Y emission quantitatively. Moreover, this was verified beforehand applying the QUEST study by Willowson et al. using a NEMA 2007/IEC 2008 PET Body Phantom (Data Spectrum Corporation, NC) [
12].
Dosimetry
Predictive and post-treatment dose calculations were carried out based on the
99mTc-MAA SPECT/CT and
90Y-microsphere PET/CT images respectively using a dedicated software (PLANET® Dose, DOSIsoft SA, Cachan, France). The general workflow applied was similar to the one described in a previous study [
13]. Briefly, tumor and NL were defined manually by an expert radiologist using prior morphologic imaging data (contrast-enhanced CT or magnetic resonance imaging). Only lesions larger than 2 cm located in the targeted lobe were considered in order to limit bias induced by partial-volume effect. The number of lesions was 1 for all treatments except for one treatment that concerned 2 lesions.
99mTc-MAA SPECT/CT and
90Y-microsphere PET/CT were rigidly co-registered with the imaging exam used for volume delineation. Thus, the same tumor and NL contours were used for both
99mTc-MAA SPECT/CT- and
90Y-microsphere PET/CT-based dose calculations. Three-dimensional dose maps at the voxel level were calculated for predictive and post-treatment dosimetry using a Voxel S-Values dose kernel convolution algorithm. Post-treatment dosimetry was performed using the activity concentration directly quantified on
90Y PET data; no other calibration factor was applied.
Planned vs. delivered vs. measured activity
On the one hand, the 90Y planned activity was compared to the delivered activity to include all the clinical hazards: vial selection, actual time of injection vs. expected time, and residual activity. On the other hand, the activities measured in the whole field of view (FOV) and in the anatomically segmented liver on PET images were compared to the planned and delivered activity.
Dose distribution relative difference
In order to assess dosimetric discrepancies related to differences in dose spatial distribution, 99mTc-MAA SPECT was normalized so that the liver activity corresponds to that quantified inside the liver on 90Y PET (designated as normalized 99mTc-MAA SPECT).
For each treatment, data related to radiological gesture were compared by a single expert radiologist between simulation and treatment stages using patient records and angiographic images: operator, radiology material used, catheter position, distance to major bifurcation, volumes of injection, and potential vascularization modifications. The difference of catheter tip position was considered when a deviation > 5 mm was measured between simulation and therapy angiographic data. Distance to major bifurcation was estimated on dynamic planar (11/24) or CT (13/24) angiographic data when available and classified as follows: ≤ 5 mm, 10 ± 2 mm, 15 ± 2 mm, 20 ± 2 mm, > 22 mm considering the uncertainty of measurement.
The following metrics extracted from 90Y-microsphere PET and normalized 99mTc-MAA SPECT dosimetry were used for comparison: mean dose to the tumor (DT) and to the NL (DNL), as well as dose-volume histogram-based minimal dose to 70%, 50%, and 20% of the tumor volume (D70, D50, and D20 respectively) and percentage of the tumor volume receiving at least 205 Gy (V205).
Isodose volumes from normalized predictive and post-treatment dosimetry were compared using the Dice similarity coefficient [
14]. Assessed isodoses corresponded to 50, 100, and 150 Gy referred as DC
50, DC
100, and DC
150 respectively.
Statistical analysis
Dose metrics based on 99mTc-MAA SPECT and 90Y-microsphere PET were compared using paired Student’s t tests. Pearson’s correlation coefficient (ρ), Bland-Altman analysis, and Lin’s concordance coefficient (ρc) were used to evaluate the agreement between predictive and post-treatment dosimetry. The normality of the data distributions was checked using the Kolmogorov-Smirnov test. Pearson’s correlation coefficient (ρ) was also used to evaluate the correlation between 90Y PET activity recovery and patient’s BMI.
Predictive vs. post-treatment dose disparity was measured through the absolute difference for dose metrics (DT, DNL, D20, D50, D70, and V205) and isodose Dice similarity (DC50, DC100, DC150). The following parameters were investigated as potential determinants of predictive vs. post-treatment dose disparity in univariate and multivariate analysis: age, body mass index (BMI), Child-Pugh class, BCLC stage, delay between simulation and treatment, type of tumor (infiltrative vs. nodular), portal vein thrombosis, tumor volume, liver volume, type of targeting (segmental, sectorial, lobar, or whole liver), lung shunt fraction, administered activity, difference between delivered and planned activity, and radiological gesture data (including operator identity, type of material, difference in catheter position, and distance from major bifurcation at treatment). Univariate analysis was performed by testing Pearson’s correlation between the dose disparity metric and the potential explanatory variable. Multivariate analysis was conducted using a forward-stepwise linear regression with an entry criterion of P ≤ 0.1 and a removal criterion of P > 0.05. Overall, a P value of 0.05 or less was considered significant.
Discussion
The objective of the study was to compare predictive and post-treatment dosimetry calculated at the voxel level based on 99mTc-MAA SPECT and 90Y-microsphere PET respectively. Both global quantification and relative dose distribution deviations were analyzed.
In clinical routine, there is a bias between the 90Y activity planned to be delivered while performing predictive dosimetry and the activity delivered to the patient due to clinical hazards. This is mainly explained by the difficulty to predict the exact residual activity in the lines and the delay in time of injection. It can be noted that discrepancies in terms of activity values presented here could be easily translated into dose deviations.
90Y PET imaging feasibility and accuracy to assess microsphere distribution and perform post-treatment dosimetry has already been demonstrated [
12,
16]. However, a deviation between the activity in the liver and the total activity in the PET’s FOV (− 20 ± 8%) was observed and seems to partly correspond to misplaced counts as described by Willowson et al. [
17]. Moreover, the accuracy of reconstruction of the
90Y activity in PET images seems to be correlated to the patient’s BMI. The higher the BMI is, the smaller is the deviation between activity in the FOV and delivered activity but the higher is the activity in the FOV outside the segmented liver. These observations support the challenging
90Y PET quantification due to the very low
90Y internal pair production branching ratio (31.86 × 10
−6) combined with the high random fraction. In these low true count statistics conditions, random and scatter corrections are more challenging resulting in noisy images and quantitative bias as reported by Carlier et al. [
18]. These observations regarding both planned vs. delivered activity and
90Y PET quantification were not discussed by other authors in their dosimetry comparison papers where the total PET signal or the signal included in the body contours was rescaled to the administered activity [
3,
5,
19].
Comparison between normalized 99mTc-MAA SPECT and 90Y-microsphere PET, in terms of relative dose distribution, showed a good correlation and no significant difference was found. This result emphasizes the predictive value of 99mTc-MAA SPECT-based dosimetry. However, perfect reproducibility of the radiological gesture is challenging. In our population, reproducibility of the catheter tip position between simulation and therapy was good in most of the procedures evaluated. However, dose distribution was significantly impacted when catheter tip position differed by a few millimeters between simulation and treatment (higher difference in terms of DT and lower isodose Dice similarity).
Besides, for catheter position closer to a major artery bifurcation,
DT differences tended to be higher and isodose Dice similarity was lower. Dice coefficient calculated on the isodoses extracted from predictive and post-treatment dosimetry enabled to compare quantitatively spatial dose distribution. Reproducibility of catheter position and its distance to an artery bifurcation were shown as having an influence on dose distribution deviations. These results are in agreement with the literature [
1,
20‐
22] and lead to two main recommendations. First, the catheter tip position should be reproduced as identical as possible and far from major bifurcation if possible. Second, on-table changes should not be made on the day of therapy without a new simulation stage.
Even if one could overcome these human factors, flow differences and differences inherent to the imaging modality used would likely induce unavoidable deviations between 99mTc-MAA SPECT- and 90Y-microsphere PET-based dosimetry.
In addition to the radiological gesture previously discussed, other factors inherent to the particles differences and the injection procedure can influence particle biodistribution and consequently cause dose distribution variations. As mentioned by several authors [
1,
4‐
6,
20,
21], the main ones are the number of particles injected, the injection volume and velocity, the particle physical properties (size/shape, density), the possible progress of disease, the occurrence of vasospasm during injection, etc. These factors cannot be easily quantified, hence analyzing their impact was beyond the scope of the present study.
Overall, both predictive and post-treatment dosimetry are necessary. The first one is essential to optimize activity planning by predicting dose to target and non-target volumes. The second one, in addition to visual PET vs. SPECT image comparison, is the only way to quantify potential discrepancies between the two procedures and assess actual absorbed doses (particularly in case of technical failure as defined by Kao et al. [
6]).
Our findings support other studies, but all are limited by a small number of patients. A larger cohort is required to establish reliable confidence intervals of expectable mean dose quantitative metrics deviation between 99mTc-MAA SPECT and 90Y-microsphere PET dosimetry. Moreover, it should be noted that this study is based exclusively on an HCC population treated with glass microspheres and the results may not be valid in different conditions.
To conclude, as mentioned by Garin et al., not only the use of MAA as a good surrogate of microsphere is controversial but also the whole SIRT simulation stage [
23]. In recent years,
166Ho-microspheres (QuiremSpheres®, Quirem Medical B.V., Utrecht, The Netherlands) have been developed as an alternative to
90Y-microspheres. Their imaging properties, the ability to use a safe scout dose of the same particles for simulation as the ones used for therapy, and the possibility of a single day procedure lead us to expect promising results [
24].
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