Abstract
This study analyzed the predictive value of 99mTc-labeled macroaggregated albumin (99mTc-MAA) SPECT for 90Y-labeled resin microsphere therapy (radioembolization) by comparing uptake on pretherapeutic 99mTc-MAA SPECT with uptake on posttherapeutic 90Y-bremsstrahlung SPECT. Methods: We included 502 patients (55% male; mean age ± SD, 62 ± 11 y) who underwent radioembolization between 2005 and 2013 because of primary or secondary liver malignancies (colorectal cancer [n = 195, 38.8%], neuroendocrine tumors [n = 77, 15.3%], breast cancer [n = 68, 13.5%], hepatocellular carcinoma [n = 59, 11.8%], cholangiocellular carcinoma [n = 40, 8.0%], or urologic tumors [n = 14, 2.8%]). Manually drawn regions of interest around tumors and adjacent healthy liver tissue for up to 3 lesions per patient on 99mTc-MAA and 90Y-bremsstrahlung scans were used to quantify mean counts per pixel and evaluate the mean tumor-to-background ratio (TBR). Data were given as mean ± SD. Additionally, uptake in lesions on 99mTc-MAA and 90Y-bremsstrahlung scans was graded visually as homogeneously higher than (grade 1), heterogeneously higher than (grade 2), equal to (grade 3), or lower than (grade 4) uptake in normal liver tissue. The Mann–Whitney U test and Spearman correlation were used to evaluate statistically significant differences between 99mTc-MAA and 90Y-bremsstrahlung SPECT. Results: In total, 1,008 lesions were analyzed. Of the 23% (230/1,008) of lesions that had grade 1 uptake on 99mTc-MAA SPECT, 81% (186/230) remained grade 1 after radioembolization whereas 16% (37/230) were grade 2. Of the lesions with grade 2 uptake on 99mTc-MAA SPECT, 16% had grade 1 uptake and 82% grade 2 uptake after radioembolization. Of the lesions with grade 3 uptake, however, 27% had grade 1 uptake and 47% grade 2 uptake after radioembolization. Even among the lesions with grade 4 uptake on 99mTc-MAA SPECT, 21% had grade 1 uptake and 46% grade 2 uptake after radioembolization. The mean TBR on 99mTc-MAA and 90Y-bremsstrahlung SPECT showed a significant, though low, correlation in the total population (r = 0.26; P < 0.001) and in hepatocellular carcinoma (r = 0.4; P < 0.001), cholangiocellular carcinoma (r = 0.3; P < 0.05), breast cancer (r = 0.3; P < 0.001), colorectal cancer (r = 0.2; P < 0.001), and neuroendocrine tumors (r = 0.2; P < 0.01). Conclusion: Although significant for most lesions, the correlation between 99mTc-MAA and 90Y-microsphere mean TBR was low. Classifying uptake into 4 grades revealed that lesions with high uptake on 99mTc-MAA SPECT maintain high uptake within radioembolization. More than 60% of lesions with a pretherapeutically lower uptake than in healthy liver tissue, however, showed high uptake within radioembolization. Patients with low tumor uptake on pretherapeutic 99mTc-MAA imaging should not be excluded from radioembolization.
Radioembolization with 90Y-labeled microspheres is gaining increasing importance in the therapy of primary and secondary liver tumors. In selected cases such as hepatocellular carcinoma (HCC), hepatically metastasized colorectal cancer (CRC), and neuroendocrine tumors (NETs), radioembolization is included as a therapeutic option in international guidelines although it remains controversial (1–3). Even in the less common secondary liver tumors such as pancreatic cancer or malignant melanoma, radioembolization is increasingly used and accompanied by controllable short-term toxicities and encouraging response and survival outcome rates (4,5). However, larger study populations with various primary tumors are needed to strengthen the value of radioembolization in the clinical management of patients with primary and secondary liver malignancies. Over the last few years, several study groups have tried to define and objectify the role of 99mTc-labeled macroaggregated albumin (99mTc-MAA) uptake on SPECT for radioembolization. Angiography with injection of 99mTc-MAA serves as an obligatory preliminary assessment for endovascular mapping, detecting hepatic perfusion and—if necessary—allowing interventional coiling of aberrant vessels to avoid dystopic flow of 90Y-microspheres during radioembolization (6). In terms of prognostic factors, 18F-FDG PET was able to predict survival after radioembolization in a study of 26 patients with cholangiocellular carcinoma (CCC), whereas high tumor vascularization assessed from data on 99mTc-MAA angiography before radioembolization was associated with worse prognosis (7). This finding remains surprising, as one might assume that high tumor vascularization as depicted in high uptake on 99mTc-MAA SPECT might be accompanied by high uptake of 90Y-microspheres within radioembolization and thus lead to higher absorbed tumor doses, as shown by Flamen et al. (8). However, these contradictory findings might be explained by the different primary tumors (CCC vs. CRC) and the small number of patients (26 vs. 8). Pretherapeutic uptake on 99mTc-MAA SPECT is often used in the decision-making process for radioembolization and can be relevant to dose calculation as expressed in the partition model (9), a multicompartment dosimetric model to determine the therapeutic dose in radioembolization. However, the partition model is more complex than dose calculation methods that are based on empiric data (10). The relevance of pretherapeutic imaging is also conferrable to various other tumor primaries. Recently, we reported on 99mTc-MAA uptake by various tumor entities, including somewhat rare radioembolization indications such as sarcoma (11). There was a wide variation in mean tumor-to-background ratio (TBR), with the highest values occurring for NETs, HCC, and CCC, whereas breast cancer, CRC, and sarcoma had the lowest values. The aim of the current study was to compare the uptake pattern of primary and secondary liver tumors on pretherapeutic 99mTc-MAA SPECT with that on posttherapeutic 90Y-bremsstrahlung SPECT to analyze the ability of the former to predict uptake of 90Y-microspheres.
MATERIALS AND METHODS
Study Population
In total, 502 patients (225 women and 277 men; mean age, 62 ± 11 y; range, 29–91 y) with unresectable primary and metastatic liver malignancies who underwent radioembolization during 2005 and 2013 in our department were retrospectively included in this study. All patients had undergone contrast-enhanced CT or MR imaging and 99mTc-MAA angiography before radioembolization. Because of the retrospective design of this study, approval was waived by the local ethics committee. All patients provided written informed consent for radioembolization. The patients had hepatic metastases from CRC (n = 195, 39%), NETs (n = 77, 15%), breast cancer (n = 68, 14%), HCC (n = 59, 12%), CCC (n = 40, 8%), urologic tumors (n = 14, 2.8%), pancreatic cancer (n = 13, 2.6%), malignant melanoma (n = 13, 2.6%), gastrointestinal (non-CRC) tumors (n = 10, 2.0%), sarcoma (n = 6, 1.2%), lung cancer (n = 4, 0.8%), or ear-nose-throat tumors (n = 3, 0.6%).
Angiography, Imaging, and Image Analysis
Digital subtraction angiography was performed on all patients for analysis and anatomic mapping of the hepatic arteries and identification of aberrant vessels before radioembolization. During angiography 100 MBq of 99mTc-MAA (GE Healthcare) were injected into the hepatic artery. Whenever feasible, the right and left hepatic arteries were injected separately to simulate radioembolization. The amount of 99mTc-MAA was calculated according to the size of the liver lobes, that is, in a typical patient 65 MBq into the right hepatic artery and 35 MBq into the left. Perchlorate (600 mg) was administered orally before angiography to avoid unspecific 99mTc uptake in the stomach (12). One hour after the injection, planar scintigraphy of the abdomen and thorax was performed to quantify the liver–lung shunting fraction. SPECT or SPECT/CT of the abdomen was also performed on all patients.
Radioembolization was performed with 90Y-labeled resin microspheres (SIR-Spheres; SirTex Medical). The 90Y-microspheres were applied directly into the left or right hepatic artery. Three hundred one patients were treated sequentially, and the remaining 201 patients received whole-liver treatment. The applied activity was calculated from percentage tumor burden to the liver and body surface area in 455 patients as expressed in the following formula:
In earlier cases (n = 47), activity was adapted to percentage involvement of the liver (2 GBq if tumor burden < 25%; 2.5 GBq if >25%; 3 GBq if >50%). Planar scintigraphy of the abdomen and thorax and additional SPECT or SPECT/CT of the abdomen were performed 1 h after radioembolization. The patients were examined with a dual-head SPECT camera (e.cam; Siemens Healthcare) or a dual-head SPECT/CT camera (Symbia T; Siemens Healthcare). 99mTc-MAA and 90Y-bremsstrahlung SPECT were performed on the same camera. 99mTc-MAA SPECT was performed with low-energy high-resolution collimators (energy window, 140 keV; matrix, 128 × 128; 6° steps; 25 s/frame) and reconstructed using an iterative method (ordered-subsets expectation maximization, 3 iterations, 16 subsets, 1.10 cm in full width at half maximum). 90Y-bremsstrahlung SPECT was performed with medium-energy all-purpose collimators (energy window, 165 keV ± 25%; matrix, 128 × 128; 6° steps; 40 s/frame) and reconstructed using an iterative method (ordered-subsets expectation maximization, 3 iterations, 16 subsets, 1.20 cm in full width at half maximum).
To delineate the liver tumors, the 99mTc-MAA and 90Y-bremsstrahlung images were coregistered with contrast-enhanced CT or MR images using dedicated software (Hermes Hybrid Viewer; Hermes Medical Solutions). Afterward, regions of interest were drawn manually on up to 3 liver lesions per patient, with a minimum diameter of 15 mm (Fig. 1). The mean counts per pixel were noted. The mean and maximum counts per pixel in healthy liver tissue were noted after a second region of interest had been drawn close to the respective liver lesion to exclude variations due to inhomogeneous 99mTc-MAA distribution within the liver. Uptake was defined as the mean TBR and calculated by dividing the mean counts per pixel of tumor by the mean counts per pixel of healthy liver tissue.
99mTc-MAA and 90Y-microsphere uptake was additionally classified into 4 grades, with grade 1 being homogeneous higher uptake in tumor than in normal liver tissue; grade 2, inhomogeneous higher uptake in tumor than in normal liver tissue; grade 3, the same uptake in tumor as in normal liver tissue; and grade 4, lower uptake in tumor than in normal liver tissue (Fig. 1).
Statistical Analysis
Quantitative data are given as mean ± SD and range. The SPSS software package was used for statistical analyses (version 21.0; IBM). After testing for normal distribution of the data using the Kolmogorov–Smirnov test, we tested for significant differences between the TBRs of different tumor entities using the Mann–Whitney U test with Bonferroni adjustment for multiple testing. Spearman correlation was used to test for a significant correlation between TBRs from 99mTc-MAA and 90Y-bremsstrahlung SPECT. A statistically significant difference was defined as that having a P value of less than 0.05.
RESULTS
In total, 1,008 liver lesions were analyzed. In previous work we evaluated uptake on 99mTc-MAA scintigraphy and SPECT within the same patient cohort (11). Those results are also included in this analysis (Table 1). Earlier, we could demonstrate that uptake is higher in most liver tumors than in normal liver tissue, being grade 1 in 230 of the 1,008 lesions (22.8%) and grade 2 in 706 (69.2%). Only a minority of lesions had 99mTc-MAA uptake equal to or lower than that in normal liver tissue (1.5% and 5.7%, respectively). As expected, most of the lesions had concordantly high uptake on 90Y-bremsstrahlung SPECT. Of the 1,008 lesions, 314 (31.2%) had grade 1 uptake, 646 (64.1) grade 2, 19 (1.9%) grade 3, and 29 (2.9%) grade 4. Most lesions with high uptake on 99mTc-MAA SPECT also had high uptake on 90Y-bremsstrahlung SPECT. Of the 230 lesions with grade 1 uptake before radioembolization, 186 (80.9%) had grade 1, 37 (16.1%) grade 2, 5 (2.2%) grade 3, and 2 (0.9%) grade 4 after radioembolization. Of the 706 lesions with grade 2 uptake on 99mTc-MAA SPECT, 112 (15.9%) had grade 1, 576 (81.6%) grade 2, 7 (1%) grade 3, and 11 (1.6%) grade 4 on 90Y-bremsstrahlung SPECT. Of the 15 lesions whose uptake equaled that of normal liver tissue on 99mTc-MAA SPECT (grade 3), 4 (26.7%) were grade 1, 7 (46.7%) grade 2, and 4 (26.7%) grade 3 after radioembolization; no lesion had grade 4 uptake after radioembolization. Interestingly, even in lesions with uptake lower than that in healthy liver tissue on 99mTc-MAA SPECT (grade 4), 90Y-bremsstrahlung SPECT revealed that most had higher uptake after radioembolization. In particular, of the 57 lesions with grade 4 uptake on 99mTc-MAA SPECT, 12 (21.1%) had grade 1 uptake and 26 (45.6%) grade 2 uptake on 90Y-bremsstrahlung SPECT, whereas only 3 (5.3%) and 16 (28.1%) had grade 3 and 4 uptake, respectively.
In accordance with the uptake pattern on 99mTc-MAA SPECT, most tumors had grade 2 uptake on 90Y-bremsstrahlung SPECT (Table 1). In an analysis of tumor primary, the highest rates for grade 2 uptake were in urologic tumors (90%), malignant melanoma (83.3%), HCC (72.7%), and CRC (72.2%). The rates for grade 1 uptake were highest for breast cancer (52.8%), NETs (46.1%), sarcoma (40%), and non-CRC gastrointestinal tumors (37.5%). These results agree strongly with the findings from 99mTc-MAA SPECT. The rates for lower uptake than in normal liver tissue on 90Y-bremsstrahlung SPECT (grade 4) were highest for ear-nose-throat tumors (25%) and pancreatic cancer (8.3%).
As can be assumed, mean TBR on 90Y-bremsstrahlung SPECT in the 4 uptake grades differed significantly among primaries (P < 0.001, respectively). There were significant differences in mean TBR between 99mTc-MAA and 90Y-bremsstrahlung SPECT, being lower on 90Y-bremsstrahlung SPECT in all tumor entities (P < 0.001). The total mean TBR was 1.9 ± 1.01 on 99mTc-MAA SPECT and 1.48 ± 0.51 on 90Y-bremsstrahlung SPECT (P < 0.001). Details on the mean TBRs are given in Table 2. We observed the highest mean TBR on 99mTc-MAA SPECT in ear-nose-throat tumors (2.61 ± 0.55) and gastrointestinal tumors (2.27 ± 1.05). The highest values on 90Y-bremsstrahlung SPECT were in non-CRC gastrointestinal tumors (1.81 ± 0.41) and urologic tumors (1.71 ± 0.31). The Spearman test revealed a significant correlation between 99mTc-MAA uptake and 90Y-bremsstrahlung uptake in the total population (r = 0.26; P < 0.001) and in HCC (r = 0.4; P < 0.001), CCC (r = 0.3; P < 0.05), breast cancer (r = 0.3; P < 0.001), CRC (r = 0.2; P < 0.001), and NETs (r = 0.2; P < 0.01). However, the correlation coefficients between 99mTc-MAA and 90Y-bremsstrahlung SPECT were low in all entities as shown in Table 2. The bivariate scatterplots for all lesions independently of the primary tumor are given in Figure 2.
Tumor vascularization remains important in terms of radioembolization. In an additional analysis, we focused on the differences in highly vascularized tumors such as HCC, CCC, and NETs and moderately vascularized tumors such as CRC and breast cancer. In accordance with the initial findings, most lesions showed high tracer accumulation in the visual interpretation regardless of tumor vascularization. More than 26% of the highly vascularized lesions had grade 1 uptake, and most of the lesions had grade 2 uptake (66.5%). The results were similar in moderately hypervascularized tumors. More than 21% had grade 1 uptake, and more than 71% had grade 2 uptake. The mean TBR revealed statistically significant higher tracer accumulation (P < 0.01) in highly vascularized tumors with grade 1 (2.32 ± 1.10) and grade 2 uptake (2.20 ± 1.16) than in moderately hypervascularized tumors (1.91 ± 0.88 and 1.81 ± 0.87, respectively) (Table 3).
DISCUSSION
99mTc-MAA angiography and imaging are obligatory in the workup of patients presenting for radioembolization and are implemented in procedure guidelines (6). On the one hand, pretherapeutic angiography is mandatory for the assessment of anatomic variations and coiling of potential aberrant vessels. On the other hand, 99mTc-MAA mimics the distribution of 90Y-microspheres and is used for the evaluation of liver–lung shunting. The partition model as presented by Ho et al. implies tracer accumulation on 99mTc-MAA SPECT for dose calculations in radioembolization (9). This method is accepted as the most accurate yet most complex approach (10). However, the predictive value of 99mTc-MAA SPECT on tumor response and patient survival remains controversial. In our workgroup, previous studies on CCC patients treated with radioembolization showed a trend toward an inverse correlation between high tracer accumulation on 99mTc-MAA scintigraphy and patient survival (7). This seems rather surprising, as one would assume that high uptake of 90Y-microspheres results in a better response to therapy. A retrospective study by Ulrich et al. on patients with CRC liver metastases found no significant correlation between 99mTc-MAA uptake and response to radioembolization as measured with 18F-FDG PET (13). The conclusion, however, was not to exclude patients with low uptake on 99mTc-MAA scintigraphy from radioembolization, as patients with initially low 99mTc-MAA uptake also showed a significant response to therapy. These findings are in accordance with our current results.
Recently, we presented data on 99mTc-MAA tumor uptake in patients with various primary and secondary liver tumors transferred to our institution for radioembolization (11). Most patients with liver metastases had tumor uptake higher than that in normal liver tissue (>90% grades 1 and 2), whereas less than 8% had uptake equal to or lower than that in normal liver tissue (grades 3 and 4). Interestingly, most of these lesions with lower uptake had high uptake on 90Y-bremsstrahlung SPECT. Of the 57 lesions with grade 3 or 4 uptake, 68% had grade 1 or 2 uptake on 90Y-bremsstrahlung SPECT whereas only 32% had grade 3 or 4 uptake. Thus, more than two thirds of lesions that would not have been eligible for radioembolization according to the results of 99mTc-MAA SPECT showed a relevant and measurable accumulation of 90Y-microspheres. This implies that patients with low uptake on pretherapeutic imaging should not be excluded from therapy. An example is shown in Figure 3: an 81-y-old patient with CCC who had undergone sequential lobar radioembolization in our department. The tumor in the right lobe showed no relevant uptake of 99mTc-MAA and had been classified as grade 4 in the visual scoring. After radioembolization, however, 90Y-bremsstrahlung SPECT revealed high uptake of 90Y-microspheres.
The quantitative values, on the other hand, have to be considered carefully. The mean TBRs in this patient were 0.89 on 99mTc-MAA SPECT and 1.29 on radioembolization, which indicates uptake higher than in normal liver tissue, or grade 2. The distribution of 90Y-microspheres was heterogenous in liver tissue, with no evidence of tumor on the diagnostic CT scan. This represents a limitation of TBR, as there might be a heterogenous distribution of 90Y-microspheres in some patients. Diagnostic information from CT and MR scans is mandatory to differentiate tumor-associated tracer accumulation. Nevertheless, the position of the region of interest in the normal liver tissue can bias the results. Furthermore, the distribution of 90Y-microspheres can also be inhomogeneous in the tumor itself. A tissue specimen from a patient with CRC liver metastasis revealed a higher accumulation of 90Y-microspheres in the tumor periphery than in the center (14,15).
Maximum TBRs were not analyzed in this study. In our previous work, maximum TBRs calculated by dividing the maximum counts per pixel of tumor from the mean counts per pixel of normal liver tissue showed a high SD (4.8 ± 4.1) and a wide range (0.2–50.1) (11). Because counting rates in single pixels might be higher, maximum TBR is prone to outlier effects.
Correlations of 99mTc- and 90Y-microsphere uptake relying on segmental TBRs in the liver might be less susceptible to outliers. When comparing segmental distribution of 99mTc-MAA and 90Y-microspheres, however, Wondergem et al. discovered only a poor prediction of intrahepatic 90Y-microsphere uptake from 99mTc-MAA SPECT (16). The difference was less in segments with higher tumor involvement, indicating that the distribution of 99mTc-MAA and 90Y-microspheres in normal liver tissue is not always homogeneous and comparable. One of the reasons might be the difference in particle sizes between 99mTc-MAA and 90Y-microspheres, which are comparable but not identical (∼10–50 μm and 20–60 μm, respectively). Another reason could be the catheter tip position. Most centers recommend use of the same catheter tip position during 99mTc-angiography and radioembolization. Wondergem et al. found significant differences in 99mTc-MAA and 90Y-microsphere distribution when there was suboptimal agreement in the position of the catheter tip between the two procedures (16). In a lesion-based analysis Ulrich et al., on the other hand, found no significant impact of different catheter tip positions on treatment response assessed by changes in tumor diameter (13). Finally and probably most important, the embolizing effect of 90Y-microspheres, which lack 99mTc-MAA, is likely to influence distribution during the course of radioembolization.
Quantification of uptake remains difficult. We identified a significant correlation in TBRs between 99mTc-MAA and 90Y-bremsstrahlung SPECT. Nevertheless, the correlation was only weak (r = 0.26), with significantly higher values on 99mTc-MAA than on 90Y-bremsstrahlung SPECT, probably due in part to the poor image quality of 90Y-bremsstrahlung SPECT. A voxelwise quantification of tracer accumulation and the calculation of TBRs might be susceptible for single voxels with higher or lower values. Various conditions, such as catheter tip position and prior therapies (e.g., angiogenesis inhibitors), can interfere with the distribution of 90Y-microspheres within the tumor and the normal liver tissue. Interestingly, though, mean TBRs were lower on 90Y-bremsstrahlung than on 99mTc-MAA SPECT, whereas the SDs of mean TBRs were lower on 90Y-bremsstrahlung than on 99mTc-MAA SPECT. The difference in particle size, the embolizing effect of 90Y-microspheres, and the inhomogeneous tracer distribution in normal liver tissue might be reasons for these findings. New developments in assessing the result of radioembolization, and posttherapeutic dosimetry such as 90Y PET investigations, are likely to overcome these shortcomings of 90Y-bremsstrahlung SPECT. Several workgroups have highlighted the advantages of posttherapeutic 90Y PET as compared with 90Y-bremsstrahlung SPECT (17,18). Nevertheless, especially in a clinical setting the visual interpretation of uptake seems to be favorable, bearing in mind that most patients in our study with low uptake on 99mTc-MAA SPECT showed high uptake of 90Y-microspheres on 90Y-bremsstrahlung SPECT.
The partition model is considered the superior method in terms of dosimetry and dose calculation for radioembolization. In a recent study, Garin et al. presented encouraging results on patients with HCC who had undergone radioembolization according to dose calculation derived from 99mTc-MAA SPECT data (19). 99mTc-MAA SPECT was highly predictive of tumor response according to the criteria of the European Association for the Study of the Liver. However, evaluation was difficult in lesions of high mass with central necrosis or heterogeneous uptake. The closer correlation to 99mTc-MAA uptake in that study might be explained by the TheraSphere (Theragenics Corp.) 90Y-microspheres that were used, which have a much less embolizing effect. On the basis of these difficulties, most study groups recommend additional qualitative and visual analysis before interpreting data.
CONCLUSION
We identified a significant but weak correlation in mean TBRs between 99mTc-MAA SPECT and 90Y-microsphere uptake after radioembolization in a large number of patients with different primary tumors. Visual grading of tracer distribution revealed that lesions with high uptake on 99mTc-MAA SPECT maintained high uptake of 90Y-microspheres during radioembolization. More than 60% of lesions with lower uptake than in healthy liver tissue before therapy also had high uptake after therapy. Thus, patients with low uptake on pretherapeutic 99mTc-MAA imaging should not be excluded from radioembolization.
DISCLOSURE
The costs of publication of this article were defrayed in part by the payment of page charges. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. No potential conflict of interest relevant to this article was reported.
Footnotes
Published online Aug. 27, 2015.
- © 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.
REFERENCES
- Received for publication June 25, 2015.
- Accepted for publication August 10, 2015.