Abstract
We performed post hoc analyses on the utility of pretherapeutic and early interim 68Ga-DOTATOC PET tumor uptake and volumetric parameters and a recently proposed biomarker, the inflammation-based index (IBI), for peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumor (NET) patients treated with 90Y-DOTATOC in the setting of a prospective phase II trial. Methods: Forty-three NET patients received up to 4 cycles of 90Y-DOTATOC at 1.85 GBq/m2/cycle with a maximal kidney biologic effective dose of 37 Gy. All patients underwent 68Ga-DOTATOC PET/CT at baseline and 7 wk after the first PRRT cycle. 68Ga-DOTATOC–avid tumor lesions were semiautomatically delineated using a customized SUV threshold–based approach. PRRT response was assessed on CT using RECIST 1.1. Results: Median progression-free survival and overall survival (OS) were 13.9 and 22.3 mo, respectively. An SUVmean higher than 13.7 (75th percentile) was associated with better survival (hazard ratio [HR], 0.45; P = 0.024), whereas a 68Ga-DOTATOC–avid tumor volume higher than 578 cm3 (75th percentile) was associated with worse OS (HR, 2.18; P = 0.037). Elevated baseline IBI was associated with worse OS (HR, 3.90; P = 0.001). Multivariate analysis corroborated independent associations between OS and SUVmean (P = 0.016) and IBI (P = 0.015). No significant correlations with progression-free survival were found. A composite score based on SUVmean and IBI allowed us to further stratify patients into 3 categories with significantly different survival. On early interim PET, a decrease in SUVmean of more than 17% (75th percentile) was associated with worse survival (HR, 2.29; P = 0.024). Conclusion: Normal baseline IBI and high 68Ga-DOTATOC tumor uptake predict better outcome in NET patients treated with 90Y-DOTATOC. This method can be used for treatment personalization. Interim 68Ga-DOTATOC PET does not provide information for treatment personalization.
Peptide receptor radionuclide therapy (PRRT) with radiolabeled somatostatin analogs (SSAs) such as 90Y-DOTATOC and 177Lu-DOTATATE is an evidence-based, standard treatment in the management of patients with inoperable or metastasized well-differentiated neuroendocrine tumors (NETs) (1,2). This was recently confirmed by the randomized, controlled NETTER-1 trial (3). It is likely that in the future PRRT will be more widely used in the treatment of probably clinically more heterogeneous populations of NET patients (4), and predictive tools to adequately predict response will become increasingly important. However, sufficiently reliable predictors are still lacking. Recently, Bodei et al. (4) developed and validated a PRRT predictive quotient integrating blood-derived NET gene transcripts with tumor grade and found it to be a highly specific predictor of PRRT efficacy. However, the need for polymerase chain reaction gene amplification, and the associated cost, might restrict its general application in routine clinical practice. Another recently proposed biomarker for PRRT outcome prediction is the inflammation-based index (IBI), which is easily derived from serum C-reactive protein and albumin and was reported to be associated with progression-free survival (PFS) and overall survival (OS) (5). Further validation in independent patient cohorts is needed.
Apart from blood biomarkers, molecular imaging parameters also may play a role in PRRT response prediction. Sufficient uptake on diagnostic SSTR imaging is an important prerequisite for PRRT (2) and was found to be correlated with higher tumor response rates (6,7) and OS (8). Several studies reported a high SUVmax on 68Ga-DOTA-SSA (68Ga-DOTATATE/DOTATOC/DOTANOC) PET to be predictive for PRRT treatment response (9–11), whereas others observed no significant association (12,13). Haug et al. (14) found that a decrease in 68Ga-DOTATATE tumor uptake after the first PRRT cycle, expressed in terms of change in tumor-to-spleen SUV ratio (SUVT/S), predicted a longer PFS. To our knowledge, this finding has not been further confirmed.
Another imaging parameter that could prove useful for PRRT outcome prediction is tumor volume (TV). Recently, Tirosh et al. (15) observed that a high 68Ga-DOTATATE–avid TV is independently associated with a shorter PFS and a higher disease-specific mortality in NET patients.
The aim of this study was to assess the utility of quantitative tumor uptake and volumetric measurements on pretherapeutic and early interim 68Ga-DOTATOC PET/CT, along with IBI, in NET patients treated with 90Y-DOTATOC.
MATERIALS AND METHODS
Patient Population
We performed retrospective, post hoc analyses on data from our previous prospective phase II trial with 90Y-DOTATOC (EUDRACT 2008-007965-22) (16). Fifty-seven consecutive patients (aged 31–80 y) with histologically proven, metastatic NETs and progressive or recurrent disease after conventional treatment were recruited between March 2009 and May 2012. The main inclusion criteria were sufficient SSTR expression on tumor cells (higher than on normal liver parenchyma) documented by 68Ga-DOTATOC PET, as well as a predicted biologic effective dose to the kidneys of less than 37 Gy after 3 cycles of 90Y-DOTATOC determined by 111In-DTPA-octreotide dosimetry (17,18). Details on the dosimetric assessment have been previously published (17). Patients not eligible for PRRT because of insufficient SSTR expression (n = 3) or an unacceptable pretherapeutic kidney biologic effective dose (n = 3) were excluded. Four patients died, and 1 had progressive disease before the early interim 68Ga-DOTATOC PET/CT exam. Two patients for whom PRRT was ended after 1 cycle because of an aberrant biodistribution on early interim PET (19), and 1 patient with an atypical disease presentation (multiple brain metastases without other tumor lesions; possible metastatic spinal paraganglioma on pathology report) and low uptake values, and for whom PRRT was ended after 2 cycles, were not included either.
The 43 remaining patients (21 men, 22 women; 33 gastroenteropancreatic NETs, 4 NETs of unknown primary, and 6 NETs of other origin) were treated with up to 4 cycles of PRRT (1.85 GBq/m2 dose of 90Y-DOTATOC per cycle) every 8 wk, with a maximal predicted kidney biologic effective dose of 37 Gy (17). Table 1 presents the patient clinical data and tumor characteristics. Details on radiolabeling and administration of 90Y-DOTATOC were previously published (17).
The study was performed at University Hospitals Leuven after approval by the institute’s Ethics Committee, and all subjects gave written informed consent.
IBI Measurement
IBI was derived as previously described (5,20). Patients with normal C-reactive protein (<10 mg/L) and albumin (>35 g/L) levels were assigned a score of 0. If one or both parameters were abnormal, a score of 1 was allocated. Patients with an elevated level of C-reactive protein and hypoalbuminemia received a score of 2.
Blood samples were collected at baseline within 1 wk before PRRT. Serum chemistry tests included C-reactive protein and albumin.
68Ga-DOTATOC PET/CT Scans
All patients underwent 68Ga-DOTATOC PET/CT before (baseline), 7 wk after (early interim), and 40 wk after (posttherapeutic; n = 30) the first PRRT cycle. The median interval between baseline PET/CT and the first treatment cycle was 5 wk (range, 1–22 wk). Details on the 68Ga-DOTATOC synthesis have been previously published (16).
All PET/CT scans were acquired on a Biograph 16-slice HiRez LSO PET/CT system (Siemens). Patients on SSA therapy interrupted treatment 12–24 h before scanning for short-acting SSAs or 4–6 wk before scanning for long-acting SSAs. Approximately 30 min after injection of 185 MBq of 68Ga-DOTATOC, whole-body PET/CT images from head to mid femur were acquired, as specified in a previous publication (16). Iterative reconstruction of the PET data was done by means of ordered-subsets expectation maximization (5 iterations, 8 subsets) using an in-plane postreconstruction gaussian smoothing kernel of 6 mm in full width at half maximum.
Quantitative Measurements on 68Ga-DOTATOC PET/CT Scans
On the basis of the methodology of Tirosh et al. (15), 68Ga-DOTATOC–avid tumor lesions were semiautomatically delineated using MIM software, version 6.7.6 (MIM Software Inc.) (Fig. 1). First, a volume of interest (VOI) containing the whole-body PET image was drawn. Then, an SUV threshold was applied to segment the whole-body VOI. The SUV threshold was customized per patient through visual inspection and comparison of multiple automatically generated segmentations of the whole-body VOI using different thresholds. Resulting VOIs smaller than 0.1 cm3 were automatically removed. To avoid over- or underestimation of TVs, images were individually scaled from 0 to two thirds of the tumor SUVmax. Subsequently, all regions of physiologic 68Ga-DOTATOC uptake or non–disease-related uptake were manually removed. Furthermore, small but definite tumor lesions with low 68Ga-DOTATOC uptake missed by the initial segmentation were manually delineated using the PET Edge tool (MIM software v6.7.6, MIM software Inc.) (21). Finally, the union of the resulting VOIs, containing all 68Ga-DOTATOC–avid tumor lesions, was determined, from which SUVmax, SUVmean, TV, and total lesion activity (TLA) were automatically calculated. The last of these is derived by multiplying the SUVmean of a VOI by its volume.
Additionally, the spleen was delineated on all PET/CT images with the Region Grow tool (MIM software v6.7.6, MIM software Inc.) and manually retouched. Dividing the tumor SUVmax by the spleen SUVmax allowed us to calculate SUVT/S, according to the method of Haug et al. (14).
Response Evaluation After PRRT
Imaging follow-up was standardized and consisted of 68Ga-DOTATOC PET/CT at 40 wk after the first PRRT cycle, followed by 6-monthly CT scans during the first 2 y after treatment and at the discretion of the treating physician as of 2 y. If disease progression was suspected during treatment, an additional CT scan was performed. Response was assessed on the CT images of the posttherapeutic scan using RECIST 1.1 by an experienced radiologist. As such, patients were categorized as having controlled disease (stable disease, partial response, or complete response) or uncontrolled disease (progression).
PFS and OS were the endpoints and were calculated as, respectively, the time between treatment start and disease progression at follow-up and as the time between treatment start and patient death. PFS was assessed on follow-up CT scans by an experienced radiologist. RECIST 1.1 was used to determine whether patients had stable or progressive disease.
Statistical Analyses
Statistical analyses were performed using the Python package SciPy (SciPy, RRID:SCR_008058) and CamDavidsonPilon/lifelines (version 0.14.6.). Kaplan–Meier survival curves with log-rank tests were used to compare PFS and OS between different groups. For continuous PET-derived values, subgroups were defined using the 25th, 50th, and 75th percentiles as cutoffs for dichotomization, yielding 3 comparisons between 2 subgroups. Uni- and multivariate Cox proportional-hazards models were applied to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). Baseline parameters were compared between patients with controlled and uncontrolled disease using the independent-samples t test or Mann–Whitney U test in cases of nonnormality, as assessed by a Shapiro–Wilk test, or inequality of variances according to the Levene test. For categoric baseline parameters, the Fisher exact test was used. Uptake and volumetric measurements on baseline and interim PET were compared using a paired-sample t test or Wilcoxon matched-pairs test in cases of nonnormality. Two-sided P values of less than 0.05 were considered statistically significant.
RESULTS
Response Assessment and Survival
Median PFS and OS were 13.9 mo (range, 1.6–68.6 mo) and 22.3 mo (range, 3.0–97.4 mo), respectively. Twelve patients (28%) were not able to undergo the posttherapeutic PET/CT scan because of deterioration of their general condition due to progressive disease (3/13) or because of death due to progression (9/13). For 1 patient, the posttherapeutic scan was not available, and this patient was consequently left out of the response assessment. Of the remaining 30 patients, CT showed progressive disease in 7 and stable disease in 23. No partial or complete responses were observed on CT. In summary, 23 patients of 42 showed stable disease (55%) and 19 patients were progressive (45%), with a disease control rate of 55%. OS was significantly better in controlled than uncontrolled disease (HR, 6.7; 95% CI, 3.1–14.3; P < 0.001), with a median OS of 37.4 versus 9.9 mo, respectively. Baseline clinical and tumor characteristics are compared between the 2 groups in Supplemental Table 1 (supplemental materials are available at http://jnm.snmjournals.org).
Baseline Parameters and Survival
Baseline SUVmax, SUVmean, TV, TLA, and SUVT/S are provided in Table 2. No significant differences in PFS were found between the subgroups of these parameters. An SUVmean higher than 13.7 (75th percentile) was associated with better OS (HR, 0.45; P = 0.024), whereas a TV higher than 578 cm3 (75th percentile) was associated with worse survival (HR, 2.18; P = 0.037) (Table 3; Fig. 2). The subgroups for SUVmax, TLA, and SUVT/S showed no significant differences in OS.
Baseline IBI could be determined for 42 patients. Elevated baseline IBI was associated with worse OS (HR, 3.90; P = 0.001) but not with PFS (P = 0.132) (Fig. 2). Multivariate analysis corroborated independent associations between OS and SUVmean (HR, 0.40; P = 0.016) and OS and IBI (HR, 3.12; P = 0.015) but not between OS and TV (P = 0.13) (Table 3). However, if only PET parameters were considered, disregarding IBI, independent associations with OS were found for both SUVmean (HR, 0.45; 95% CI, 0.22–0.91; P = 0.027) and TV (HR, 2.21; 95% CI, 1.05–4.67; P = 0.037).
Further, we developed a composite score based on baseline SUVmean and IBI. Patients with a high SUVmean (>13.7) and normal IBI received a score of 0. If SUVmean was 13.7 or less and IBI elevated, they received a score of 2. If only 1 condition was met, they received a score of 1. Patients in category 2 showed significantly worse OS than did patients in category 1 (P = 0.007) or 0 (P < 0.001) (HR 4.45; P = 0.001), but also category 1 patients showed significantly worse OS than did category 0 (P = 0.025) (Fig. 3).
Patients with controlled disease showed a significantly higher baseline SUVmax (P = 0.022) and SUVmean (P = 0.012) than did those with uncontrolled disease (Supplemental Table 1). No differences were observed for TV, TLA, or SUVT/S. Also, baseline IBI was not significantly different.
Interim Parameters and Survival
On interim PET, SUVmax, SUVmean, and TLA showed a small but significant decrease, whereas TV and SUVT/S remained unchanged (Table 2). Survival analysis of changes in these parameters between interim and baseline PET revealed no significant differences in PFS. A decrease in SUVmean of more than 17% (75th percentile) was associated with worse survival (HR, 2.29; P = 0.024) (Table 3; Fig. 2). No other significant associations with OS were found.
DISCUSSION
Median PFS and OS in our study population were 13.9 and 22.3 mo, respectively, which are somewhat shorter than reported in other 90Y-DOTATOC PRRT studies but still remain in line with the literature (1). Head-to-head comparisons with other studies, especially on survival, should be interpreted carefully because of differences in study populations (e.g., tumor burden and biologic aggressiveness) and PRRT protocols. On the other hand, we observed no partial or complete responses, whereas other studies observed at least a few partial responses (1). This difference might be explained by differences in populations and PRRT protocols but also by differences in the criteria used for response assessment, with criteria that are often less stringent definitions than RECIST 1.1 having been used. Moreover, the Rotterdam group has shown that OS in patients with an objective response is not different from OS in patients with stable disease (6).
A baseline SUVmean higher than 13.7 was independently associated with better OS, in line with the findings of Imhof et al. (8) in 1,109 NET patients treated with 90Y-DOTATOC. On the other hand, no significant association was found for SUVmax. A possible explanation is that SUVmean is a parameter taking into account the whole TV, whereas SUVmax is not necessarily representative of all tumor lesions. In the literature, conflicting results have been published on the role of SUV on baseline 68Ga-DOTA-SSA PET in PRRT response prediction. Koch et al. (9) identified a cutoff for SUVmax and SUVmean of 29.4 and 20.3, respectively, to separate patients between long and short PFS (69 vs. 26 wk). Öksüz et al. (10) found that an SUVmax higher than 17.9 as a cutoff for favorable outcome was able to predict response in all 20 responders and 15 of 16 nonresponders. Kratochwil et al. (11) proposed a mean SUVmax (from up to 4 liver metastases per patient) threshold of more than 16.4 to select patients for PRRT, with a sensitivity and specificity in predicting responding lesions of 95% and 60%, respectively. On the other hand, Gabriel et al. (12) and Soydal et al. (13) reported that SUVs on baseline 68Ga-DOTA-SSA PET showed no additional value for PRRT response prediction. In all these studies, the fact that slightly different methods were used to define SUVmax could explain the different results, and in none of them was a full segmentation of all tumor lesions performed. An uptake parameter taking the whole tumor burden into account, such as SUVmean, could be more suitable for PRRT response prediction. However, since in our study several patients with an SUVmean well below 13.7 showed a good PFS and OS, we would not suggest use of this value as a threshold to deselect patients from PRRT; rather, we would consider this a prognostic factor. Ezziddin et al. (22) concluded that 68Ga-DOTATOC PET can predict tumor-absorbed doses, and in cases of low SUV—and hereby insufficient target irradiation—can deselect inappropriate candidates for PRRT. More studies are needed to provide guidance on 68Ga-DOTA-SSA uptake thresholds for patient selection for PRRT. A priority should be to define a threshold under which PRRT is deemed futile because of an insufficient target dose.
In our study population, a baseline 68Ga-DOTATOC TV higher than 578 cm3 was associated with worse survival. A recent publication reported on the utility of 68Ga-DOTA-SSA–avid TV in a general population of 184 NET patients (15). The authors found that a 68Ga-DOTATATE TV of 7.0 cm3 or more is independently associated with shorter PFS, whereas a 68Ga-DOTATATE TV of 35.8 cm3 or more is independently associated with higher disease-specific mortality (15). However, these results cannot be extrapolated to our study population, which consisted solely of PRRT patients with a much higher tumor burden. Further studies are warranted to evaluate the value of 68Ga-DOTA-SSA–avid TV for PRRT patient stratification.
TLA was not found to be a useful parameter. This is not surprising, since TLA is derived by multiplying the SUVmean of a volume by the volume, whereas we observed opposite associations between survival and SUV on the one hand and between survival and TV on the other.
In line with the results of Black et al. (5), an elevated baseline IBI was associated with worse survival. Because of the simplicity of this biomarker, it could readily be included in the pretherapeutic assessment and help guide treatment decisions. Moreover, Black et al. observed that a persistently elevated IBI throughout PRRT was associated with worse PFS and OS and therefore could help identify patients who might have little benefit from treatment continuation.
We also found that a composite score, based on tumor uptake and IBI, allows further patient stratification into 3 groups with significantly different survival. Further validation of this score on external datasets and in a prospective setting is needed.
To our knowledge, there is only 1 study available on early interim PET-based response prediction for PRRT in NETs. Haug et al. (14) evaluated changes in SUVmax and SUVT/S on 68Ga-DOTATATE PET 3 mo after the first PRRT cycle and found that decreased uptake predicted a longer PFS, with independent associations only for SUVT/S. However, in our study a major decrease in SUVmean (>17%) was associated with worse survival, whereas we found no significant associations for SUVT/S. There are of course differences between our data and those of Haug et al., most importantly regarding timing of the interim PET (7 wk vs. 3 mo) (14). An important uptake decrease may be attributed to several different causes, such as decreased tumor perfusion, tumor dedifferentiation, and cell death. All of these causes may lead to worse therapeutic efficacy for future PRRT cycles, the latter as a result of reduced bystander effect. However, with the conflicting results in mind, we do not believe that early interim PET during PRRT has a prognostic value or could justify changes in treatment strategy.
Limitations of our study include the relatively small sample size, restricting statistical power, and the post hoc nature of our analyses. Our patient cohort was very mature for survival analysis, since OS was known for all patients. On the other hand, accurate follow-up data were not always available after the first 2 y of follow-up. Therefore, the uncertainty on longer PFS values is larger. Furthermore, no partial-volume correction was used, resulting in underestimation of uptake in the smallest lesions. However, the influence on our results is deemed negligible because of the high tumor burden in our study population. Finally, the generalizability of our findings to 177Lu-DOTATATE needs to be confirmed, especially since 90Y-DOTATOC is less routinely used in clinical practice.
CONCLUSION
Normal baseline IBI and high 68Ga-DOTATOC tumor uptake (SUVmean > 13.7) were independently associated with better survival in NET patients treated with 90Y-DOTATOC, whereas a high 68Ga-DOTATOC–avid TV (>578 cm3) was associated with worse survival. Adding these parameters to the pretherapeutic work-up may be helpful to guide treatment decisions; however, none of these parameters should be used as the sole basis to deselect patients from PRRT. Early interim 68Ga-DOTATOC PET did not allow us to identify patients with a poorer prognosis that would justify a change in treatment strategy.
DISCLOSURE
This work was funded by Instituut voor de Aanmoediging van Innovatie door Wetenschap en Technologie in Vlaanderen (IWT), project 0707181 and “Kom op tegen Kanker.” Paul Clement has been a consultant for Abbvie, Astra Zeneca, BMS, MSD, Merck Serono, Daiichi Sankyo, Leo Pharma, and Vifor pharma and received a research grant from Astra Zeneca, all outside this work. Eric Van Cutsem has received research grants and personal fees for consultancy from Amgen, Bayer, Boehringer Ingelheim, Celgene, Ipsen, Lilly, Roche, Merck Sharp & Dohme, Merck KGaA, Novartis, Roche, and Servier. Chris Verslype has received research grants and been a consultant for Novartis and Ipsen. Christophe Deroose has been a consultant for Novartis, Terumo, AAA, Ipsen, Sirtex, and Bayer, outside this work. No other potential conflict of interest relevant to this article was reported.
KEY POINTS
QUESTION: Are quantitative tumor uptake and volumetric measurements on pretherapeutic and early interim 68Ga-DOTATOC PET/CT, along with IBI, useful for outcome prediction in NET patients treated with 90Y-DOTATOC?
PERTINENT FINDINGS: Post hoc analyses were performed on baseline and early interim 68Ga-DOTATOC PET/CT data from 43 NET patients treated with 90Y-DOTATOC in the setting of a phase II trial. Normal baseline IBI and high 68Ga-DOTATOC tumor uptake, in terms of SUVmean, were independently associated with better OS.
IMPLICATIONS FOR PATIENT CARE: A more accurate quantification of baseline tumor uptake on 68Ga-DOTA-SSA PET, taking into account the whole tumor burden, and IBI can help guide PRRT treatment decisions, whereas the value of early interim PET is limited.
Acknowledgments
We thank Christelle Terwinghe, Kwinten Porters, Wies Deckers, the PET radiopharmacy team, and the medical physics team of UZ Leuven for their skilled contributions.
Footnotes
Published online Dec. 5, 2019.
- © 2020 by the Society of Nuclear Medicine and Molecular Imaging.
REFERENCES
- Received for publication September 21, 2019.
- Accepted for publication November 21, 2019.