Increased absorbed liver dose in Selective Internal Radiation Therapy (SIRT) correlates with increased sphere-cluster frequency and absorbed dose inhomogeneity
© Högberg et al.; licensee Springer. 2015
Received: 12 February 2015
Accepted: 18 March 2015
Published: 25 April 2015
The higher tolerated mean absorbed dose for selective internal radiation therapy (SIRT) with intra-arterially infused 90Y microspheres compared to external beam therapy is speculated to be caused by absorbed dose inhomogeneity, which allows for liver regeneration. However, the complex liver microanatomy and rheology makes modelling less valuable if the tolerance doses are not based on the actual microsphere distribution. The present study demonstrates the sphere distribution and small-scale absorbed dose inhomogeneity and its correlation with the mean absorbed dose in liver tissue resected after SIRT.
A patient with marginally resectable cholangiocarcinoma underwent SIRT 9 days prior to resection including adjacent normal liver tissue. The resected specimen was formalin-fixed and sliced into 1 to 2-mm sections. Forty-one normal liver biopsies 6-8 mm in diameter were punched from these sections and the radioactivity measured. Sixteen biopsies were further processed for detailed analyses by consecutive serial sectioning of 15 30-μm sections per biopsy, mounted and stained with haematoxylin-eosin. All sections were scrutinised for isolated or conglomerate spheres. Small-scale dose distributions were obtained by applying a 90Y-dose point kernel to the microsphere distributions.
A total of 3888 spheres were found in the 240 sections. Clusters were frequently found as strings in the arterioles and as conglomerates in small arteries, with the largest cluster comprising 453 spheres. An increased mean absorbed dose in the punch biopsies correlated with large clusters and a greater coefficient of variation. In simulations the absorbed dose was 5–1240 Gy; 90% were 10-97 Gy and 45% were <30 Gy, the assumed tolerance in external beam therapy.
Sphere clusters were located in both arterioles and small arteries and increased in size with increasing sphere concentration, resulting in increased absorbed dose inhomogeneity, which contradicts earlier modelling studies.
KeywordsRadioembolisation Y-90 SIRT Liver Dosimetry Microspheres
The use of selective internal radiation therapy (SIRT) with intra-arterially infused 90Y spheres to treat liver metastases and primary liver malignancies has prompted a need for further understanding of normal liver parenchyma tolerance, which is not transferable from external beam therapy . The higher mean tolerated absorbed dose is thought to be due to a lower dose rate and an inhomogeneous small scale dose distribution, allowing for regeneration . However, the complex liver microanatomy and rheology of infused microspheres makes modelling of microsphere distribution, absorbed dose distribution, and tolerance doses less valuable if it is not based on a reasonably accurate microsphere distribution.
As Cremonesi et al. described in their recent review , valid dosimetric calculations for SIRT is a complex issue given our limited knowledge of microsphere distributions on a microscopic and, in clinical contexts, without dosimetry based on post-therapeutic imaging , also on a macroscopic level. When applying dosimetric calculations to radioembolisation treatment (RE) with resin (SIR-Spheres®, SIRTex Medical Limited Sydney, Australia) or glass (Therasphere® BTG, Ontario, Canada) spheres, uniform activity distributions are routinely assumed, which is practical when reporting liver tolerance for large patient groups [3-19]. As RE treatments and follow-up studies have increased during the last two decades, some characteristics have become obvious, such as the tolerance of a higher mean absorbed dose to normal liver parenchyma and a higher threshold for radiation-induced liver disease (RILD) compared to external beam radiation therapy (EBRT), which cannot be explained solely by the lower dose rate [1,9,20,21].
The non-uniform absorbed dose distribution resulting from a heterogeneous activity distribution is most certainly an important factor [1,5,22-33]. Therefore, several studies have opted to investigate and simulate the situation in a more realistic way with heterogeneous distributions on a macroscopic or microscopic level. On the macroscopic level, post-therapeutic 90Y bremsstrahlung imaging has the poorest resolution and contrast recovery [22,33-35], followed by pre-therapeutic 99mTc-macro-aggregated albumin (99mTc-MAA) SPECT [23-25] and PET imaging, which is possible due to the small, but sufficient, contribution of internal pair production for positron emission [5,26,27,36-42]. However, the resolution of these systems is beyond the limit of detecting microsphere non-uniformity and investigations determining the influence of heterogeneous small-scale dosimetry on liver tolerance.
On the small scale, single microspheres and clusters have been studied by microscopy of explanted tissue [24,25,28-31]. However, these studies included a limited number of samples and focused mainly on microsphere distributions around and within tumour tissue. Therefore, the novel small scale liver dosimetry modelling performed by Gulec et al.  and Walrand et al. [26,27] was forced to use assumed microsphere distributions. Gulec et al. simulated absorbed dose distributions based on an assumed microanatomy surrounding the microspheres, which were proposed to be uniformly located in the artery in the portal tract. Walrand et al. extended this rigid liver model to a simulation model of non-uniform microsphere distributions and absorbed doses. Non-uniform distribution of microspheres in the final portal arterioles was achieved by simulating the microsphere path through a model of the liver artery tree with 21 branching nodes using symmetric or asymmetric branching probabilities for the microspheres. These simulations resulted in a broad absorbed dose distribution, which was broader for glass compared to resin microspheres due to the use of fewer glass microspheres. This expected theoretical phenomenon for random spreading through the arterial tree was also pointed out by Chiesa et al.  and Spreafico et al. , who also addressed that the biological effect will increase with decreasing specific activity due to the increased number of microspheres, resulting in a more uniform absorbed dose. However, these authors also addressed that this would be theoretically correct if no stasis occurs; i.e., no trapping in the larger arterioles or small arteries located upfront in the arterial tree.
In a recent study , we reported the activity distribution of marginally resected, radioactive, cholangiocarcinoma tumour tissue and the surrounding normal liver parenchyma  using autoradiography, biopsy activity measurements, and microscopy of sectioned biopsies. The activity concentrations within the liver parenchyma were heterogeneous on a scale larger than the mean range of the beta electrons, and clusters of different sizes were found in portal arterioles, as well as larger arterioles and small arteries of the liver parenchyma. In the studied biopsies, the majority of spheres were trapped in small arteries with cluster sizes of up to 59 spheres per cluster. Such trapping will generate a complicated microsphere distribution in which it is not obvious if the width of the microsphere and absorbed dose distribution will decrease or increase with the number of injected microspheres.
Because upfront clustering in the arterial tree may generate a systematic difference in the distribution of the absorbed dose throughout the parenchyma, with more dramatic dose gradients than previously expected [24-31], we aimed to describe the microsphere distribution in small arterioles and the clustering in larger arterioles or small arteries. In the present study, we aimed to investigate a larger sample of biopsies microscopically, spanning a broader spectrum of mean activity concentrations, as compared to our previous study . The rationale was to study the frequency of microsphere clusters and the distribution of microsphere cluster sizes in relation to the mean activity concentrations within individual biopsies. Furthermore, we aimed to simulate the small-scale absorbed dose distribution and investigate to what extent found non-uniformities would be homogenised by cross-dose (cross-fire) effects .
Patient and clinicopathology
Pre-study investigations revealed tumour masses of 37 g and 56 g in the left and right lobes, respectively, with corresponding normal liver parenchyma of 700 g and 1350 g, respectively. According to standard procedures, the patient was first examined by selective hepatic artery angiography and artery coiling, followed by 99mTc-MAA using planar imaging and SPECT/CT with a GE Millenium VG camera (energy window 126-154 keV) and high resolution collimator to evaluate the hepatic distribution and degree of pulmonary shunting.
Two weeks later, the hepatic artery was recannulated for infusion of the 90Y-labelled SIR-Spheres (Sirtex Medical Limited, North Sydney, Australia). The microspheres consist of polymeric resin with an approximate activity of 50 Bq (40–70 Bq) per sphere and mean diameter of 30 μm (20–60 μm). The mean and maximum ranges of the electrons emitted from 90Y (mean energy, 0.934 MeV) are 2.5 mm and 11 mm, respectively, in human soft tissues, and the physical half-life is 64 h [14,47-49]. The number of spheres suspended in 30–40 ml of distilled water and injected in less than an hour was approximately 30 million (1.6 GBq). The distribution of 90Y microspheres was recorded by bremsstrahlung detection applying an energy window of 55–285 keV using a medium energy (ME) collimator . Nine days later the patient underwent liver surgery with an ultrasonic cavitron aspirator, including resection of the tumour masses and a rim of surrounding normal liver tissue.
The resected specimens were immersed in isotonic formaldehyde (10%) for 48 hours and machine sliced into 1 to 2-mm-thick sections. Some sections were subjected to autoradiography; other sections were punched into 41, 6 to 8-mm-diameter, biopsies, weighed, and the activity measured (90Y bremsstrahlung in a gamma well counter, Wizard® 1480, PerkinElmer, Waltham, MA, USA) in vials with 1 ml formaldehyde solution .
After measuring the activity, 16 of the 41 biopsies were paraffin embedded and 15 consecutive 30-μm thick circular sections were obtained from each of the 16 punch biopsies of normal liver tissue (240 sections total). These sections were haematoxylin-eosin stained. Each section was microscopically investigated for microspheres, which were counted and classified as single or clustered. A cluster was defined as 2 or more spheres, with an inter-sphere distance of 200 μm (i.e. 7 sphere diameters) or less  irrespective of strings in smaller vessels or conglomerates in larger vessels, which sometimes extended throughout the 15 sections. The number of spheres in each cluster was also counted.
The absolute number of spheres within the sample created by the 15 30-μm sections (representing approximately ¼ - ½ of each punch biopsy) was counted and categorised regarding number of connected spheres (cluster size). The distributions of microspheres found microscopically, for every of the individual 16 sectioned volumes, were used for simulation of small-scale dose distributions. First, each activity locus (single sphere or cluster) was selected on random, from the biopsy-unique microsphere distribution, and then pre-positioned on random in a 160 × 160 × 1 matrix, with spatial resolution 452 μm (resolution adapted to dose point kernel, as described in the next paragraph). The randomised selection and pre-positioning of activity loci was repeated until the volume had reached the same (well chamber activity-measured) mean sphere concentration as for the entire biopsy, from which the sectioned sub-volume had been collected. By this process, deviation from the biopsy mean activity concentration, within the sectioned sub-sample, had no influence over the final simulated sphere concentration. This randomisation process was repeated independently, 160 times, resulting in a final 160 × 160 × 160 voxel volume, where every layer was uniquely randomised, resulting in 160 layers with almost the same sphere concentration, similar frequency, regarding activity locus size, but with a high probability of uniqueness in spatial distribution of the activity loci. The entire process was repeated, for all biopsy subsamples, resulting in 16 different 160 × 160 × 160 voxel volumes, totally unique, as the volumes were both randomised, from biopsy-specific cluster patterns (distributions), found microscopically in the sectioned sub-volumes, as well as adjusted to unique microsphere concentrations, based on previous well camber activity measurements, for the 16 biopsies.
The simulated 16 volumes were convolved individually with a 90Y dose point kernel containing 53 × 53 × 53 voxels, with a spatial resolution of 452 μm, according to Prestwich et al.  (the same resolution for volume and kernel), tuning the absorbed fraction of the centremost voxels according to Siegel and Stabin . Absorbed dose distributions, in which absorbed dose equilibrium was obtained, were used as output, i.e., the centremost 150,000 voxels, corresponding to a 24 × 24 × 24 mm3 cube or 14 cm3 of tissue, for each of the 16 biopsies.
Median, mean ± standard deviation and the coefficient of variation (CV) were used to describe normally distributed continuous variables. Possible relationships between variables were evaluated by linear regression. For all statistical analyses, the statistical software IBM SPSS® 19 was used, applying linear regression by Ordinary Least Squares (OLS), to either the dependent variable data point set or (when testing exponential dependence) the corresponding logarithmised data point set. Hypothesis tests (two-sided t-tests) were performed and p ≤ 0.05 was considered significant.
In a recent study , we showed that the activity concentration throughout normal liver parenchyma is heterogeneous on a macroscopic scale, which is in line with the findings of others [1,5,24-32]. The results in the present study add more variation to the previous results, extending the light microscopy analysis of microsphere distributions and small-scale dosimetry. The analysis of 3888 microspheres distributed in 240 sections demonstrates that the increasing non-uniformity with increasing mean absorbed dose per biopsy is caused by the aggregation of large clusters in small arteries.
This conclusion is strengthened by the plot (Figure 5) of linear increase in cluster cross-section size (mean number of spheres per section) with cluster size (number of spheres per cluster) for the 277 found clusters. The cluster cross-section size is expected to be directly correlated to the vessel trans-axial cross-section area, as larger vessels may contain a larger number of spheres per cluster unit length (i.e. section). Figure 5 further shows that the individual data points never deviate much from the trend line, for larger clusters, but, somewhat more for smaller clusters. The small variation for the largest clusters is a reflection of the fact that they tended to be distributed throughout all, or close to all, of the 15 sections investigated, thus limiting the variation upwards (with a potential that some large clusters are in fact even longer, i.e. larger, regarding sphere number). Downwards, there is of course a physical limit, i.e. clusters with certain size, limited in length, will require a minimum vessel size. The larger variation upwards, for smaller and mid-sized clusters, is a reflection of the occurrence of some shorter mid-sized clusters and many short small clusters.
For the smallest clusters, it is also more common with a deflection on the downside of the trend line. The explanation for this is that in the smaller vessels, the clusters tended to be less heavily condensed, with several clusters lacking spheres in one or more sections (explaining the occurrence of clusters with mean number of spheres per cross-section <1). This is probably caused by a combination of vessel tension and the efficient blocking of liquid (blood plasm) by single spheres. Single spheres, flowing with a certain inter-spherical distance will not be allowed to compress to strings of densely packed spheres; when the relaxed vessel diameter is smaller than the sphere diameter, the spheres are both slowing down, by the tension of the vessel walls. The inter-spherical liquid, which cannot longer pass around the spheres, thus retains the stochastically distributed distance between spheres within small vessels, some spheres entering in strings, others sparsely packed.
In contrast, a large cluster, with more than one sphere in cross-section, can probably grow up-streams, when the downstream end of the cluster has started to slow down. The reason for this is the combination of the higher momentum of the spheres, having higher density than the liquid, and the fact that liquid is allowed to pass between the spheres in the cross-sections, allowing for pressure equilibrium.
Even though some liquid may pass through larger clusters, blood flow blockage will still slow them down and halt them; once entrapped, the large cluster will probably not move substantially, at least not as a unit. The entrapment of spheres in arteries will most certainly hamper sphere accumulation downstream in the arterial tree, and it may even completely block deposits in the final arterioles. In this study, we noted single spheres, as well as a string of spheres in the arterioles (Figure 2a), but we also noted a lack of spheres in a large fraction of the arterioles. Blocking spheres upstream in the arterial tree will cause systematic structural non-uniformity in the sphere distribution and absorbed dose distribution; as our results indicate, it will be stronger in parenchyma volumes with a higher mean absorbed dose, i.e., with a high probability of strong absorbed dose gradients caused by large clusters of microspheres. Gulec et al.  reported that, when no cross-fire contributions are considered, liver parenchyma 1 mm from a microsphere receives <1% of the absorbed dose compared to the portal tract containing the microsphere.
The adaption ratio (simulated/measured mean dose) was almost perfect for individual biopsies, on average 0.99 ± 0.025. When comparing the mean absorbed dose distribution of the sub-sample of 16 biopsies (measured activity) with the 41 biopsies (measured activity), it is obvious that the former is not a representative sample, regarding macroscopic distribution (mean: 38 ± 21 vs. 47 ± 34 Gy, median 36 vs. 38 Gy), thus with an overall adaption ratio (sub-sample/sample mean absorbed dose) of only 0.81. By weighting the macroscopic influence of the 16 biopsies, the adaption of the mean is better (mean: 43 ± 38 vs. 47 ± 34 Gy, median: 36 vs. 38 Gy), with an overall adaption ratio (weighted-sub-sample/sample mean absorbed dose) of 0.91, but it is still far from perfect. The reason for this is that the regions with the highest mean absorbed dose were not included in the microscopic sample, as cluster tracking through sequential sections was complicated for biopsies with a high concentration of microspheres. Therefore, the biopsy with the highest mean absorbed dose (i.e., 84 Gy) was used to represent the macroscopic dose distribution >67 Gy. Including biopsies with mean absorbed doses >84 Gy would most certainly extend the “tail” in the high absorbed dose spectrum and slightly increase the proportion of absorbed doses >100 Gy. However, this would not have a large impact on the distribution in the lower part of the spectrum, which is the most critical for the risk of adverse effects and overall survival of the liver following SIRT. We expect that even larger clusters would contain a major proportion of the activity in biopsies with a higher mean absorbed dose and, therefore, an even stronger absorbed dose gradient in such sub-regions.
Our analysis of microsphere distribution was performed in liver tissue resected only 9 days after injection, and we did not note any morphological changes due to irradiation. Earlier studies on human liver tissue were performed months after injection, which probably allowed morphological changes and delocalisation of the microspheres [24,30]. To the best of our knowledge, similar studies of the detailed microsphere distribution soon after injection time have not been published. We performed three similar surgical procedures as described in this work. The autoradiography and biopsy activity measurements in these patients revealed similar macroscopic distributions and were in agreement with previously published results [22,24,30]. Furthermore, the clustering tendency of microspheres in arterioles and small arteries were similar between the patients (data not shown), but due to the limited amount of tissue available for two of these patients, we were only able to perform the extended light microscopic analysis for one patient. Accordingly, it would be beneficial to validate our data in liver tissue resected soon after injection, before morphological changes occur.
Cremonesi et al.  previously pointed out challenges in the field of radioembolisation treatments that are relevant for both resin and glass spheres. Dosimetry on a microscopic level is crucial for creating reliable radiobiological models capable of explaining and predicting radiobiological effects and risks. Some authors have described microscopic distributions by investigating explanted liver tissue [25,31] or using simulations [26,43]. Extensive cluster lodgings in larger arterioles and smaller arteries may challenge the previous hypothesis of a rather uniform microscopic microsphere distribution throughout the liver parenchyma for resin spheres [8,10,26,44,45], as the tendency of larger clusters to contain a major proportion of the total activity seems to increase exponentially with mean absorbed dose. As the resin spheres and glass spheres are similar in size, the clustering tendency should be the same for 120 Gy regions with glass spheres and 2.4 Gy regions with resin spheres (the same concentration of spheres given a 50-times higher specific activity for glass spheres). A microsphere concentration causing an absorbed dose level that low is rare for resin spheres and was not investigated in our samples.
Extrapolation of the relationship between the mean cluster size and absorbed dose (c.f. Figure 5) of 2.4 Gy gives a mean cluster size of 5.7 and a maximal cluster size of 12 microspheres per cluster. This extrapolation of clinical data resembles the simulation results reported by Walrand et al.  (mean cluster sizes with 4 - 5 spheres per cluster, and maximal cluster size of 10 microspheres per cluster). However, the assumption that all microspheres will be located at the terminal portal artery will predict a more uniform absorbed dose distribution in the liver parenchyma for an increased number of microspheres, which contradicts our observed clinical results. We found that an increased number of injected spheres will cause increasing non-uniformity due to microsphere trapping in larger arterioles or small arteries, hampering microsphere transport to the terminal portal artery. Therefore, future extension of the novel model proposed by Walrand et al.  should include the probability of upfront microsphere trapping in the arterial tree. Such model extension would be beneficial for increased precision in the explanation and prediction of radiobiological effects and optimisation of radioembolisation treatments.
The macroscopic and microscopic non-uniformity of the absorbed dose distributions may be valuable information for explaining the tolerance of a relatively high mean absorbed dose in the entire liver parenchyma. Strong dose gradients within individual biopsies will result in a systematic non-uniformity and, thus, a lower mean absorbed dose to the parenchyma regions that are not very close to large clusters. Such systematic inhomogeneity in the absorbed dose may be beneficial for the radiation tolerance of the parenchyma. A higher concentration of spheres needed for treatment with lower activity per sphere, i.e., resin spheres, increases the absorbed dose non-uniformity within the liver parenchyma, competing with the increase in non-uniformity due to the higher activity per microsphere of glass spheres. Therefore, absorbed dose non-uniformity is not just a question of activity per microsphere, but also of the concentration of microspheres.
The linear regression of the increasing CV of absorbed dose with mean absorbed dose was weak (R2 = 0.34). The regression was however significant (p < 0.05) and the only significant (p > 0.05) outlier was found within the dependent variable data set (for CV 0.87); no significant outlier (p > 0.05) was found within the independent variable data set. Excluding the data point with the significant outlier (59 Gy; 0.87), would improve the regression (R2 = 0.37, p < 0.05). Given the high probability that the largest clusters might be underestimated, since only 15 sequential sections were investigated, it is probable that the actual dependence is stronger. Future investigations should use samples with more than 15 subsequent 30 μm sections, which most probably will result in improved correlation between the CV and mean absorbed biopsy doses.
The gathered data in this study are strong enough, however, to show that cluster distributions are homogenised by cross-fire  to only a limited extent. The resulting absorbed dose distributions are non-uniform (high CVs) throughout all 16 simulated sub-volumes (Figure 7) and there is a tendency of an increase in relative small-scale absorbed dose non-uniformity with increasing biopsy mean absorbed dose.
In conclusion, the strong absorbed dose heterogeneity verified in this study was due to varying degree of sphere aggregation. The sphere clusters were located in both arterioles and small arteries and increased in size with increasing number of spheres per mass unit. The absorbed dose simulations showed that also the absorbed dose inhomogeneity increased with increasing absorbed dose. These results contradict earlier modelling studies and may have important influence in explaining the radiobiological situation in RE therapy.
All procedures performed in studies involving human participants were approved by the Regional Ethical Review Board in Gothenburg, Sweden, and were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
We would like to thank Dr Jakob Heydorn Lagerlöf at Department of Radiation Physics, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, for his guidance and advice during creation of the simulation scripts and Dr Paul Kretchmer of San Francisco Edit, Mill Valley, California, USA, for his assistance in editing the manuscript. JH, JS and PB were supported by grants from The Swedish National Cancer Society, The Swedish Radiation Safety Authority and The King Gustav V Jubilee Clinic Cancer Research Foundation.
- Cremonesi M, Chiesa C, Strigari L, Ferrari M, Botta F, Guerriero F, et al. Radioembolization of hepatic lesions from a radiobiology and dosimetric perspective. Front Oncol. 2014;4:210. doi:10.3389/fonc.2014.00210.View ArticlePubMed CentralPubMedGoogle Scholar
- Wondergem M, Smits ML, Elschot M, de Jong HW, Verkooijen HM, van den Bosch MA, et al. 99mTc-macroaggregated albumin poorly predicts the intrahepatic distribution of 90Y resin microspheres in hepatic radioembolization. J Nucl Med. 2013;54(8):1294–301. doi:10.2967/jnumed.112.117614.View ArticlePubMedGoogle Scholar
- Young JY, Rhee TK, Atassi B, Gates VL, Kulik L, Mulcahy MF, et al. Radiation dose limits and liver toxicities resulting from multiple yttrium-90 radioembolization treatments for hepatocellular carcinoma. Journal of vascular and interventional radiology : JVIR. 2007;18(11):1375–82. doi:10.1016/j.jvir.2007.07.016.View ArticlePubMedGoogle Scholar
- Dancey JE, Shepherd FA, Paul K, Sniderman KW, Houle S, Gabrys J, et al. Treatment of nonresectable hepatocellular carcinoma with intrahepatic 90Y-microspheres. J Nucl Med. 2000;41(10):1673–81.PubMedGoogle Scholar
- Kao YH, Steinberg JD, Tay YS, Lim GK, Yan J, Townsend DW, et al. Post-radioembolization yttrium-90 PET/CT - part 2: dose-response and tumor predictive dosimetry for resin microspheres. EJNMMI Res. 2013;3(1):57. doi:10.1186/2191-219X-3-57.View ArticlePubMed CentralPubMedGoogle Scholar
- Ahmadzadehfar H, Meyer C, Ezziddin S, Sabet A, Hoff-Meyer A, Muckle M, et al. Hepatic volume changes induced by radioembolization with 90Y resin microspheres. A single-centre study Eur J Nucl Med Mol Imaging. 2013;40(1):80–90. doi:10.1007/s00259-012-2253-2.View ArticleGoogle Scholar
- Sangro B, Bilbao JI, Boan J, Martinez-Cuesta A, Benito A, Rodriguez J, et al. Radioembolization using 90Y-resin microspheres for patients with advanced hepatocellular carcinoma. Int J Radiat Oncol Biol Phys. 2006;66(3):792–800. doi:10.1016/j.ijrobp.2006.05.065.View ArticlePubMedGoogle Scholar
- Chiesa C, Mira M, Maccauro M, Romito R, Spreafico C, Sposito C, et al. A dosimetric treatment planning strategy in radioembolization of hepatocarcinoma with 90Y glass microspheres. Q J Nucl Med Mol Imaging. 2012;56(6):503–8.PubMedGoogle Scholar
- Cremonesi M, Ferrari M, Bartolomei M, Orsi F, Bonomo G, Arico D, et al. Radioembolisation with 90Y-microspheres: dosimetric and radiobiological investigation for multi-cycle treatment. Eur J Nucl Med Mol Imaging. 2008;35(11):2088–96. doi:10.1007/s00259-008-0857-3.View ArticlePubMedGoogle Scholar
- Strigari L, Sciuto R, Rea S, Carpanese L, Pizzi G, Soriani A, et al. Efficacy and toxicity related to treatment of hepatocellular carcinoma with 90Y-SIR spheres: radiobiologic considerations. J Nucl Med. 2010;51(9):1377–85. doi:10.2967/jnumed.110.075861.View ArticlePubMedGoogle Scholar
- Kao YH, Hock Tan AE, Burgmans MC, Irani FG, Khoo LS, Gong Lo RH, et al. Image-guided personalized predictive dosimetry by artery-specific SPECT/CT partition modeling for safe and effective 90Y radioembolization. J Nucl Med. 2012;53(4):559–66. doi:10.2967/jnumed.111.097469.View ArticlePubMedGoogle Scholar
- Flamen P, Vanderlinden B, Delatte P, Ghanem G, Ameye L, Van Den Eynde M, et al. Multimodality imaging can predict the metabolic response of unresectable colorectal liver metastases to radioembolization therapy with Yttrium-90 labeled resin microspheres. Phys Med Biol. 2008;53(22):6591–603. doi:10.1088/0031-9155/53/22/019.View ArticlePubMedGoogle Scholar
- Sarfaraz M, Kennedy AS, Lodge MA, Li XA, Wu X, Yu CX. Radiation absorbed dose distribution in a patient treated with yttrium-90 microspheres for hepatocellular carcinoma. Med Phys. 2004;31(9):2449–53.View ArticlePubMedGoogle Scholar
- Rhee TK, Omary RA, Gates V, Mounajjed T, Larson AC, Barakat O, et al. The effect of catheter-directed CT angiography on yttrium-90 radioembolization treatment of hepatocellular carcinoma. Journal of vascular and interventional radiology: JVIR. 2005;16(8):1085–91. doi:10.1097/01.RVI.0000177063.92678.21.View ArticlePubMedGoogle Scholar
- Gulec SA, Mesoloras G, Dezarn WA, McNeillie P, Kennedy AS. Safety and efficacy of Y-90 microsphere treatment in patients with primary and metastatic liver cancer: the tumor selectivity of the treatment as a function of tumor to liver flow ratio. J Transl Med. 2007;5:15. doi:10.1186/1479-5876-5-15.View ArticlePubMed CentralPubMedGoogle Scholar
- Goin JE, Salem R, Carr BI, Dancey JE, Soulen MC, Geschwind JF, et al. Treatment of unresectable hepatocellular carcinoma with intrahepatic yttrium 90 microspheres: factors associated with liver toxicities. Journal of vascular and interventional radiology : JVIR. 2005;16(2 Pt 1):205–13. doi:10.1097/01.RVI.0000142592.89564.F9.View ArticlePubMedGoogle Scholar
- Claude L, Perol D, Ginestet C, Falchero L, Arpin D, Vincent M, et al. A prospective study on radiation pneumonitis following conformal radiation therapy in non-small-cell lung cancer: clinical and dosimetric factors analysis. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2004;71(2):175–81. doi:10.1016/j.radonc.2004.02.005.View ArticleGoogle Scholar
- Sarfaraz M, Kennedy AS, Cao ZJ, Sackett GD, Yu CX, Lodge MA, et al. Physical aspects of yttrium-90 microsphere therapy for nonresectable hepatic tumors. Med Phys. 2003;30(2):199–203.View ArticlePubMedGoogle Scholar
- Lau WY, Ho S, Leung TW, Chan M, Ho R, Johnson PJ, et al. Selective internal radiation therapy for nonresectable hepatocellular carcinoma with intraarterial infusion of 90yttrium microspheres. Int J Radiat Oncol Biol Phys. 1998;40(3):583–92.View ArticlePubMedGoogle Scholar
- Strigari L, Benassi M, Chiesa C, Cremonesi M, Bodei L, D'Andrea M. Dosimetry in nuclear medicine therapy: radiobiology application and results. Q J Nucl Med Mol Imaging. 2011;55(2):205–21.PubMedGoogle Scholar
- Wessels BW, Konijnenberg MW, Dale RG, Breitz HB, Cremonesi M, Meredith RF, et al. MIRD pamphlet No. 20: the effect of model assumptions on kidney dosimetry and response–implications for radionuclide therapy. J Nucl Med. 2008;49(11):1884–99. doi:10.2967/jnumed.108.053173.View ArticlePubMedGoogle Scholar
- Hogberg J, Rizell M, Hultborn R, Svensson J, Henrikson O, Gjertsson P, et al. Radiation exposure during liver surgery after treatment with (90)Y microspheres, evaluated with computer simulations and dosimeter measurements. J Radiol Prot. 2012;32(4):439–46. doi:10.1088/0952-4746/32/4/439.View ArticlePubMedGoogle Scholar
- Hogberg J, Rizell M, Hultborn R, Svensson J, Henrikson O, Molne J et al. Heterogeneity of microsphere distribution in resected liver and tumour tissue following selective intrahepatic radiotherapy. EJNMMI Res. 2014;4(48). doi:doi:10.1186/s13550-014-0048-0.Google Scholar
- Roberson PL, Ten Haken RK, McShan DL, McKeever PE, Ensminger WD. Three-dimensional tumor dosimetry for hepatic yttrium-90-microsphere therapy. J Nucl Med. 1992;33(5):735–8.PubMedGoogle Scholar
- Fox RA, Klemp PF, Egan G, Mina LL, Burton MA, Gray BN. Dose distribution following selective internal radiation therapy. Int J Radiat Oncol Biol Phys. 1991;21(2):463–7.View ArticlePubMedGoogle Scholar
- Walrand S, Hesse M, Chiesa C, Lhommel R, Jamar F. The low hepatic toxicity per Gray of 90Y glass microspheres is linked to their transport in the arterial tree favoring a nonuniform trapping as observed in posttherapy PET imaging. J Nucl Med. 2014;55(1):135–40. doi:10.2967/jnumed.113.126839.View ArticlePubMedGoogle Scholar
- Walrand S, Hesse M, Jamar F, Lhommel R. A Hepatic Dose-Toxicity Model Opening the Way Toward Individualized Radioembolization Planning. J Nucl Med. 2014;55(8):1317–22. doi:10.2967/jnumed.113.135301.View ArticlePubMedGoogle Scholar
- Campbell AM, Bailey IH, Burton MA. Analysis of the distribution of intra-arterial microspheres in human liver following hepatic yttrium-90 microsphere therapy. Phys Med Biol. 2000;45(4):1023–33.View ArticlePubMedGoogle Scholar
- Campbell AM, Bailey IH, Burton MA. Tumour dosimetry in human liver following hepatic yttrium-90 microsphere therapy. Phys Med Biol. 2001;46(2):487–98.View ArticlePubMedGoogle Scholar
- Pillai KM, McKeever PE, Knutsen CA, Terrio PA, Prieskorn DM, Ensminger WD. Microscopic analysis of arterial microsphere distribution in rabbit liver and hepatic VX2 tumor. Sel Cancer Ther. 1991;7(2):39–48.View ArticlePubMedGoogle Scholar
- Kennedy AS, Nutting C, Coldwell D, Gaiser J, Drachenberg C. Pathologic response and microdosimetry of (90)Y microspheres in man: review of four explanted whole livers. Int J Radiat Oncol Biol Phys. 2004;60(5):1552–63. doi:10.1016/j.ijrobp.2004.09.004.View ArticlePubMedGoogle Scholar
- D'Arienzo M, Filippi L, Chiaramida P, Chiacchiararelli L, Cianni R, Salvatori R, et al. Absorbed dose to lesion and clinical outcome after liver radioembolization with 90Y microspheres: a case report of PET-based dosimetry. Ann Nucl Med. 2013;27(7):676–80. doi:10.1007/s12149-013-0726-4.View ArticlePubMedGoogle Scholar
- Zade AA, Rangarajan V, Purandare NC, Shah SA, Agrawal AR, Kulkarni SS, et al. 90Y microsphere therapy: does 90Y PET/CT imaging obviate the need for 90Y Bremsstrahlung SPECT/CT imaging? Nucl Med Commun. 2013;34(11):1090–6. doi:10.1097/MNM.0b013e328364aa4b.View ArticlePubMedGoogle Scholar
- Rong X, Du Y, Ljungberg M, Rault E, Vandenberghe S, Frey EC. Development and evaluation of an improved quantitative (90)Y bremsstrahlung SPECT method. Med Phys. 2012;39(5):2346–58. doi:10.1118/1.3700174.View ArticlePubMed CentralPubMedGoogle Scholar
- Ahmadzadehfar H, Muckle M, Sabet A, Wilhelm K, Kuhl C, Biermann K et al. The significance of bremsstrahlung SPECT/CT after yttrium-90 radioembolization treatment in the prediction of extrahepatic side effects. Eur J Nucl Med Mol Imaging. 2011. doi:10.1007/s00259-011-1940-8.Google Scholar
- Lhommel R, Goffette P, Van den Eynde M, Jamar F, Pauwels S, Bilbao JI, et al. Yttrium-90 TOF PET scan demonstrates high-resolution biodistribution after liver SIRT. Eur J Nucl Med Mol Imaging. 2009;36(10):1696. doi:10.1007/s00259-009-1210-1.View ArticlePubMedGoogle Scholar
- Lhommel R, van Elmbt L, Goffette P, Van den Eynde M, Jamar F, Pauwels S, et al. Feasibility of 90Y TOF PET-based dosimetry in liver metastasis therapy using SIR-Spheres. Eur J Nucl Med Mol Imaging. 2010;37(9):1654–62. doi:10.1007/s00259-010-1470-9.View ArticlePubMedGoogle Scholar
- Srinivas SM, Natarajan N, Kuroiwa J, Gallagher S, Nasr E, Shah SN, et al. Determination of Radiation Absorbed Dose to Primary Liver Tumors and Normal Liver Tissue Using Post-Radioembolization (90)Y PET. Front Oncol. 2014;4:255. doi:10.3389/fonc.2014.00255.View ArticlePubMed CentralPubMedGoogle Scholar
- Attarwala AA, Molina-Duran F, Busing KA, Schonberg SO, Bailey DL, Willowson K, et al. Quantitative and Qualitative Assessment of Yttrium-90 PET/CT Imaging. PLoS One. 2014;9(11):e110401. doi:10.1371/journal.pone.0110401.View ArticlePubMed CentralPubMedGoogle Scholar
- Elschot M, Vermolen BJ, Lam MG, de Keizer B, van den Bosch MA, de Jong HW. Quantitative comparison of PET and Bremsstrahlung SPECT for imaging the in vivo yttrium-90 microsphere distribution after liver radioembolization. PLoS One. 2013;8(2):e55742. doi:10.1371/journal.pone.0055742.View ArticlePubMed CentralPubMedGoogle Scholar
- Werner MK, Brechtel K, Beyer T, Dittmann H, Pfannenberg C, Kupferschlager J. PET/CT for the assessment and quantification of (90)Y biodistribution after selective internal radiotherapy (SIRT) of liver metastases. Eur J Nucl Med Mol Imaging. 2010;37(2):407–8. doi:10.1007/s00259-009-1317-4.View ArticlePubMedGoogle Scholar
- Kao YH, Steinberg JD, Tay YS, Lim GK, Yan J, Townsend DW, et al. Post-radioembolization yttrium-90 PET/CT - part 1: diagnostic reporting. EJNMMI Res. 2013;3(1):56. doi:10.1186/2191-219X-3-56.View ArticlePubMed CentralPubMedGoogle Scholar
- Gulec SA, Sztejnberg ML, Siegel JA, Jevremovic T, Stabin M. Hepatic structural dosimetry in (90)Y microsphere treatment: a Monte Carlo modeling approach based on lobular microanatomy. J Nucl Med. 2010;51(2):301–10. doi:10.2967/jnumed.109.069278.View ArticlePubMedGoogle Scholar
- Chiesa C, Maccauro M, Romito R, Spreafico C, Pellizzari S, Negri A, et al. Need, feasibility and convenience of dosimetric treatment planning in liver selective internal radiation therapy with (90)Y microspheres: the experience of the National Tumor Institute of Milan. Q J Nucl Med Mol Imaging. 2011;55(2):168–97.PubMedGoogle Scholar
- Spreafico C, Maccauro M, Mazzaferro V, Chiesa C. The dosimetric importance of the number of 90Y microspheres in liver transarterial radioembolization (TARE). Eur J Nucl Med Mol Imaging. 2014;41(4):634–8. doi:10.1007/s00259-013-2674-6.View ArticlePubMedGoogle Scholar
- Kassis AI, Adelstein SJ. Radiobiologic principles in radionuclide therapy. J Nucl Med. 2005;46 Suppl 1:4S–12.PubMedGoogle Scholar
- Wong CY, Salem R, Raman S, Gates VL, Dworkin HJ. Evaluating 90Y-glass microsphere treatment response of unresectable colorectal liver metastases by [18F]FDG PET: a comparison with CT or MRI. Eur J Nucl Med Mol Imaging. 2002;29(6):815–20. doi:10.1007/s00259-002-0787-4.View ArticlePubMedGoogle Scholar
- Salem R, Thurston KG, Carr BI, Goin JE, Geschwind JF. Yttrium-90 microspheres: radiation therapy for unresectable liver cancer. Journal of vascular and interventional radiology: JVIR. 2002;13(9 Pt 2):S223–9.View ArticlePubMedGoogle Scholar
- Gulec SA, Fong Y. Yttrium 90 microsphere selective internal radiation treatment of hepatic colorectal metastases. Arch Surg. 2007;142(7):675–82. doi:10.1001/archsurg.142.7.675.View ArticlePubMedGoogle Scholar
- Prestwich WV, Nunes J, Kwok CS. Beta dose point kernels for radionuclides of potential use in radioimmunotherapy. J Nucl Med. 1989;30(6):1036–46.PubMedGoogle Scholar
- Siegel JA, Stabin MG. Absorbed fractions for electrons and beta particles in spheres of various sizes. J Nucl Med. 1994;35(1):152–6.PubMedGoogle Scholar
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