PET tracers for somatostatin receptor imaging of neuroendocrine tumors: current status and review of the literature
Abstract
ABSTRACT
Neuroendocrine tumors have shown rising incidence mainly due to higher clinical awareness and better diagnostic tools over the last 30 years. Functional imaging of neuroendocrine tumors with PET tracers is an evolving field that is continuously refining the affinity of new tracers in the search for the perfect neuroendocrine tumor imaging tracer. 68Ga-labeled tracers coupled to synthetic somatostatin analogs with differences in affinity for the five somatostatin receptor subtypes are now widely applied in Europe. Comparison of sensitivity between the most used tracers – 68Ga-DOTA-Tyr3-octreotide, 68Ga-DOTA-Tyr3-octreotate and 68Ga-DOTA-l-Nal3-octreotide – shows little difference and expertise on the specific tracer used, and knowledge regarding physiological uptake might be more important than in vitro-proven differences in affinity. Using isotopes such as 18F or 64Cu might improve these PET tracers further.


(A)64Cu-DOTATATE; (B)68Ga-DOTATOC. Please note the greater detail in 64Cu-DOTATATE images, probably due to differences in the positron ranges of 64Cu.
DOTATATE: DOTA-Tyr3-octreotate; DOTATOC: DOTA-Tyr3-octreotide.
Neuroendocrine tumors (NETs) arise from cells with a neuroendocrine phenotype distributed mainly in the lungs (25%) or the gastro–entero–pancreatic (GEP) tract (75%). NETs have been considered to be rare neoplasms, but an analysis from Surveillance, Epidemiology and End Results (SEER) reports a fivefold increase from 1973 (1.09/100,000) to 2004 (5.25/100,000) [1]. For GEP NETs alone, there has been an increase in the age-adjusted incidence by 3.6-fold in the USA and by 3.8–4.8-fold in Europe from 1973 to 2007 [2]. The awareness of clinicians regarding NETs combined with better diagnostic tools has played a great part in this increasing incidence. Furthermore, the definition of NETs has changed so that benign NETs are now included [3].
NETs can occur throughout the human body in virtually every organ and the tumors are classified according to the organ of origin and by TNM classification [4]. Furthermore, a more universal grading system into G1, G2 and G3 tumors based on Ki67 or the mitotic index (≤2, 2–20 and >20%, respectively) has been proposed by Rindi and colleagues [1,5,6] and is now included in the latest consensus guidelines from European Neuroendocrine Tumor Society (ENETS) and the WHO, at least for GEP NET.
Above the diaphragm, the WHO classification system from 2004 divides lung NETs into four categories based on histological subtypes: the typical carcinoids, the atypical carcinoids, the small-cell carcinomas and the large-cell carcinomas [7]. Recently, however, Rindi et al. have suggested a three-tier grading system based on the proliferation index and the amount of necrotic cells, since this distinction also seems to be more clinically relevant in pulmonary NETs [8].
A unique feature of NETs is their overexpression of somatostatin receptors on the tumor cells, which has established the basis for both pharmacological treatment with analogs [9–11] and for imaging, as well as peptide receptor radionuclide therapy (PRRT) by radiolabeled targeting of these receptors. Somatostatin receptors are G-protein-coupled membrane glycoproteins, and so far, five subtypes of human somatostatin receptors have been identified: sst1–sst5 [12]. GEP NETs are found to express somatostatin receptors in 80–100% of cases, although insulinomas have a lower prevalence (50–70%) [13,14]. Most abundant is sst2 [15], followed by equal amounts of sst1 and sst5, lower amounts of sst3 and hardly any sst4 [14–16]. In total, 70–90% of NETs express sst2 [17].
The first available somatostatin analog was octreotide, a synthetic octapeptide that exhibited more selective high-affinity binding for sst2 and sst5 and, to a lesser degree, sst3 [18]. Altering small parts of the synthetic peptides readily changes the binding profile to different receptors. Lanreotide and pasireotide are newer long-acting somatostatin analogs that were developed in order to refine clinical effects and gain a broader affinity profile [10]. Furthermore, in the development of tracers for the molecular imaging of NETs, synthetic somatostatin analogs have played a crucial role.
Somatostatin receptor imaging
In 1989, the first somatostatin receptor scintigraphies were performed using 123I-Tyr3-octreotide [19]. One-thousand patients were scanned using γ-camera-based scintigraphy, and a sensitivity of 80–95% was found for carcinoids and endocrine pancreatic tumors [20].
For many years, the radiopharmaceutical of first choice for the visualization of NETs has been 111In-pentreotide, and in the USA, this remains the case. 111In radioisotopes emits γ-radiation and thus imaging is obtained by either planar or tomographical γ-cameras, such as single photon emission computed tomography (SPECT). PET-based radioisotopes such as 18F, 68Ga and 64Cu emit positrons. When the positrons annihilate with an electron, two photons are emitted in opposite directions, and these are detected by the PET scanner.
Combinations with new chelators and PET isotopes have made somatostatin receptor imaging even more sensitive. In general, the sensitivity and resolution is better for PET scanning than for SPECT. Moreover, the quantitative nature of PET makes it possible to quantify the amount of tracer uptake expressed as standardized uptake values (SUVs). The SUVs are very useful in the planning of PRRT and may contain prognostic information [21].
Several studies have determined that PET tracers possess major advantages compared with the γ-emitting tracers, both in terms of detection rates and clinical impact [22–27]. Furthermore, the PET examination takes only a few hours instead of 2–3 days and the costs are also reduced because supplementary MRI or computed tomography (CT) scanning is needed less often [28].
In the European consensus guidelines of ENETS from 2012, SPECT/CT scanning using 111In-DTPA-octreotide (DTPA-OC) is an important part of the diagnostic work-up of patients with NETs. However, a change towards the PET-based tracers is preferred whenever possible [29–32], especially for patients with colonic NETs, insulinomas and multiple endocrine neoplasia syndromes [33,34].
Somatostatin receptor PET tracers
Labeling peptides moved a step forward with the introduction of 1,4,7,10-tetraazacyclodecane-1,4,7,10-tetraacetic acid (DOTA), a universal chelator capable of forming stable complexes with radiotracers of the metal group, such as 111In, 67Ga, 68Ga, 64Cu, 90Y and 177Lu [29]. Peptides labeled with 90Y and 177Lu are used for radionuclide therapy, while most somatostatin receptor imaging tracers use 68Ga as the radioisotope. This isotope has the advantage of being produced from a generator, so it is also available in departments without a cyclotron.
The receptor affinity, radiation type, duration and positron range of the emissions are all of crucial importance for the efficacy of a PET tracer, both in imaging and radionuclide therapy. Even small modifications in the amino acid sequences, as well as conjugation to a chelator and the choice of isotope, may lead to changes in the affinity towards different receptors [22,35]. A change from antagonistic to agonistic hehavior has even been described after conjugation to the DOTA chelator [36]. Somatostatin receptor internalization appears to be inducible only by somatostatin agonists and not antagonists [37,38]. Internalization of the receptor–ligand complex has been considered to be necessary for imaging and radionuclide therapy; however, preclinical studies have shown that antagonists bind to more receptor sites than agonists and dissociate more slowly, leading to a strong and possibly long-acting radiation signal [39,40]. A single clinical study has compared 111In-DTPA-octreotide and an antagonist tracer 111In-DOTA-pNO2-Phe-c(dCys-Tyr-dTrp-Lys-Thr-Cys)dTyrNH2(BASS) in five NET patients. The antagonist tracer found more lesions and showed up to four-times higher tumor uptake of the tracer [41]. In spite of this, the agonist somatostatin analogs are so far the only ones that are used in clinical routine.
The principle of combining radioisotopes, chelators and somatostatin analogs is shown for the most commonly used tracers in Figure 1.
The most frequently used modifications of octreotide are Tyr3-octreotide, Tyr3-octreotate and l-Nal3-octreotide. When combined with the DOTA chelator and 68Ga, they are called 68Ga-DOTA-Tyr3-octreotide (68Ga-DOTATOC), 68Ga-DOTA-Tyr3-octreotate (68Ga-DOTATATE) and 68Ga-DOTA-l-Nal3-octreotide (68Ga-DOTANOC). Furthermore, combinations using somatostatin analogs coupled to 64Cu has been reported by a few centers [42,43].
Somatostatin receptor tracer affinity
The binding to the relevant somatostatin receptors is the most crucial factor for the efficacy of imaging with somatostatin receptor tracers. The results of in vitro binding studies of the most used somatostatin receptor PET tracers are shown in Table 1.
The highest affinity was found for Ga-DOTATATE towards the most abundant receptor sst2. Reubi et al. determined the binding affinity of Ga-DOTATATE towards sst2 to be approximately tenfold higher than that of both Ga-DOTANOC and Ga-DOTATOC [35]. Ga-DOTATATE (and In-DTPA-octreotide) only binds to sst2, while Ga-DOTATOC, Ga-DOTAOC and Ga-DOTANOC also binds to sst5. Ga-DOTANOC had a tenfold higher affinity than Ga-DOTATOC and additional binding capacity towards sst3 [35,44]. The somatostatin analog lanreotide has been claimed to be a universal somatostatin receptor agonist, but affinity studies of lanreotide coupled to the DOTA chelator only show relevant affinity for sst2 and sst5 [35]. The affinity measurements were made in vitro in cells transfected with the five types of somatostatin receptors. Differences may therefore occur in vivo.
• Influence of the chelator & radionuclide
So far, it has mainly been 68Ga that has been used as the radioisotope in somatostatin receptor PET tracers. In contrast to the radioisotopes 18F and 64Cu, which are cyclotron produced, 68Ga has the advantage of being produced by a generator, making it more easily available. A rationale for using 64Cu instead of 68Ga, however, is its longer half-life (12.7 h vs 68 min.) and lower positron energy and thus short positron range (maximal energy of positrons [Emax,β+] 0.58 MeV and maximal positron range [Rmax] <3 mm vs Emax,β+ 1.90 MeV and Rmax 9 mm), which might give it some advantages, even though the higher percentage of β-radiation may favor 68Ga as a PET tracer (88 vs 19%).
Anderson et al. used the triethylenetetramine chelator to combine octreotide and 64Cu. Compared with 111In-DTPA-OC, more lesions were found in two out of eight patients using 64Cu-triethylenetetramine-octreotide [42].
Pfeifer et al. used the DOTA chelator to chelate Tyr3-octreotate and 64Cu. A high and quite stable maximum SUV (SUVmax) for lesions on both early (1 h) and delayed (3 h) images suggested a high rate of tracer internalization and a low dissociation rate of 64Cu-DOTATATE from somatostatin receptors during this time interval. SUV stability illustrated sufficient in vivo stability of the tracer for imaging purposes, even though some 64Cu dissociation was seen in the liver. Compared with 111In-DTPA-OC SPECT, additional lesions were found in six out of 14 patients (43%) [43]. Most notably, imaging was attained using a dose that gave only half the radiation burden compared with 111In-DTPA-OC.
From a physical point of view, 18F constitutes the ideal radionuclide for PET, due to its high amount of positron emission (97%), low positron energy and short positron range (Emax,β+ 0.63 MeV and Rmax <3 mm), which is comparable with that of 64Cu. Meisetschläger et al. tested the somatostatin receptor tracer Gluc-Lys(18F-fluoropropionyl)-Tyr3-octreotate [18F-FP]-TOCA) in a direct comparison to 111In-DTPA-OC in 16 NET patients. Gluc-Lys(18F-FP)-TOCA detected more than twice as many lesions and was rapidly taken up in the tumors, reaching 80% of the maximum tumor-to-background ratio at 16 ± 6.9 min after injection. The tumor-to-background ratio in the liver was 4.2 ± 2.0 at 60 min and thus comparable with 68Ga-DOTATOC. The main drawback of Gluc-Lys(18F-FP)-TOCA is its time-consuming multistep radiosynthesis and its limited overall yield [45].
Whether the differences in affinity among the tracers are important for imaging NETs also depends on the amount and distribution of somatostatin receptor in the normal tissue from which the tumors have to be differentiated.
• Physiological uptake of somatostatin receptor PET tracers
It is well known that SUVs are highly dependent on scanner resolution and image reconstruction techniques and may differ significantly between departments [46]. Absolute values of uptake in normal tissues of the different tracers are therefore difficult to compare unless performed by the same department, and no such data exist in the literature. Physiological uptakes for each of the most commonly used tracers have, however, been examined separately [47–49].
The ratios between tumor and normal tissue are of major importance in order to achieve optimal imaging. These ratios have been evaluated for 68Ga-DOTATOC and 68Ga-DOTANOC [47,48]. The scanning details and results are shown in Table 2.
Rather high physiological uptake is seen in the spleen and kidneys for all three tracers and in the adrenal and pituitary gland as well, especially with 68Ga-DOTATATE and 68Ga-DOTATOC. Of special importance is the physiological uptake in the liver, bone and normal pancreas due to the predominant localizations of NETs and metastases to these organs. The uptake ratio between NET and normal tissue in the liver is approximately 3 for both 68Ga-DOTANOC and 68Ga-DOTATOC, and even higher (˜10) in bones. Thus, good conditions were found for the imaging of NETs in these organs. The discrimination between NET and normal pancreatic tissue, especially in the processus uncinatus, has been much debated, and definitions of absolute SUV cut-off values in order to define tumor against normal tissue have been suggested by some [47,48], but not found to be practicable by others [50]. In 76 out of 103 scans, Krausz et al. found 97 sites of 68Ga-DOTANOC uptake in the pancreas [50]. A total of 38 sites were judged to be due to physiological uptake, and 31 of these were in the processus uncinatus. Thus, tracer uptake in the processus uncinatus of the pancreas must be interpreted with caution. Cut-off values would be the perfect tool for diagnostic imaging, but they can seldom be defined and are not used in the clinical routine.
Performance of the somatostatin receptor PET tracers
A comparison of the sensitivity, specificity and usefulness of the different tracers in the diagnosis of NETs is difficult to extract from the existing literature. Direct head-to-head comparison of the tracers in the same patients are sparse. Most studies have been performed with one tracer at a time and in heterogeneous patient groups, including many different NET types and localizations.
The approach to defining the gold standard for detecting existing disease – the crucial factor for determining sensitivity and specificity – also varies between studies. Different approaches have been used. The most common is the patient-based approach, testing whether the tracer detects disease in the patient or not. This is quite an approximate estimate and may be clinically insufficient since the presence of metastases in different regions is very important for the choice of treatment. Some have tried to compensate for this by dividing detected lesions into clinically relevant regions in order to assess the clinical impact of additional findings. Others have looked into every single lesion in order to determine the differences between two tracers or modalities. The approach with multiple lesions in every patient leaves the problem of verifying them all. It is not ethically reasonable to achieve histological confirmation of every lesion, so CT and/or MRI have mostly been used in order to confirm or exclude the positive PET findings. Buchmann et al. used CT and MRI only for positive verifications of lesions detected by PET, since the sensitivity might be higher for the PET modality than CT or MRI [23]. Many studies use a follow-up period of a certain length in order to verify the presence or absence of disease. This may be the best approach to reaching a gold standard; however, in slow-growing tumors, the follow-up period needs to be quite long. An important factor is the heterogeneity of tumors is their varying receptor profiles. For instance, there will be a large difference in the sensitivity of somatostatin receptor PET tracers used to detect insulinomas that are known to express lower amounts of sst2 compared with small intestinal NETs, which virtually all express sst2 [51].
In Tables 3–5, the diagnostic performance of the three most commonly used somatostatin receptor PET tracers are listed.
• Head-to-head comparison of the somatostatin receptor PET tracers
In only five studies have direct comparisons of two PET tracers using the same patient population been performed [59,60,67–69]. Poeppel et al. examined 40 NET patients with both 68Ga-DOTATOC and 68Ga-DOTATATE [67]. Using 68Ga-DOTATOC, they found 262 CT-verified lesions compared with 254 found by 68Ga-DOTATATE. Comparing the two scans lesion to lesion, the standardized maximum uptake was higher overall with 68Ga-DOTATOC than 68Ga-DOTATATE, in addition to when the values were normalized to liver or muscle tissue. However, the tumor uptake varied considerably both within and between the patients. In addition to 18 patients with lesions displaying the highest uptake on 68Ga-DOTATOC, 18 patients showed a mixture of lesions with either the highest uptake on 68Ga-DOTATATE or 68Ga-DOTATOC, while lesions only showing the highest uptake on 68Ga-DOTATATE were found in four patients [67]. The presence of sst5 in the group of NETs displaying higher values with 68Ga-DOTATOC might explain these results. When dividing all of the lesions into eight regions and counting the regions with at least one positive lesion, there was no significant difference between 68Ga-DOTATATE and 68Ga-DOTATOC, making the differences less clinically relevant.
Kabasakal et al. have compared the detection of NET lesions in a head-to-head comparison of 68Ga-DOTATATE and 68Ga-DOTANOC in 20 patients (Tables 4 & 5) [59]. 68Ga-DOTATATE detected 130 lesions while 68Ga-DOTANOC detected 116 lesions, but this was not significantly different. Sensitivity on a patient level was calculated to be equally high at 93% in both scans, and the specificity was 100%. The amount of tracer in the lesions was significantly higher in 68Ga-DOTATATE compared with 68Ga-DOTANOC (p < 0.05) [59]. This is in concordance with the nearly ten-times higher affinity of 68Ga-DOTATATE towards sst2 and emphasizes that additional affinities for sst3 or sst5 do not add to the performance of the tracer in this mixed NET patient population.
Wild et al. also compared 68Ga-DOTATATE and 68Ga-DOTANOC directly (Tables 4 & 5) [60]. Both of the tracers correctly identified 17 out of 18 patients with verified NETs. On a lesion-based analysis, 68Ga-DOTANOC performed significantly better, detecting 238 out of 248 lesions compared with 212 out of 248. 68Ga-DOTANOC showed a lower uptake in normal liver compared with 68Ga-DOTATATE, and the additional lesions that were found were mainly due to detecting more liver lesions. 68Ga-DOTATATE, however, detected more bone lesions. 68Ga-DOTANOC found seven out of eight pancreatic NETs, whereas 68Ga-DOTATATE found only three [60].
In a study by Putzer et al., the new PET tracer 68Ga-DOTA-lanreotide (DOTALAN) was used in order to elucidate whether 38 patients who, despite clinical sign of progression but had not qualified for PRRT by 68Ga-DOTATOC, could benefit from PRRT using 90Y-labeled lanreotide [68]. The tumor-to-background ratios calculated from SUVmax measurements were significantly higher for 68Ga-DOTATOC, and 68Ga-DOTATOC revealed significantly more tumor sites than 68Ga-DOTALAN (106 vs 53). In eight of the patients who underwent both scans, the primary tumor was a thyroid tumor, and six out of eight had a higher SUVmax using 68Ga-DOTALAN, perhaps demonstrating thyroid NETs being more prone to PRRT when using DOTALAN [68].
68Ga-DOTALAN was compared with 68Ga-DOTATATE in a study by Demirci et al. [69]. A heterogeneous group of 11 NET patients and one meningioma patient was compared lesion by lesion. Together, the two scans revealed 67 lesions. A total of 63 lesions were found by 68Ga-DOTATATE, while only 23 lesions were found by 68Ga-DOTALAN. There was a higher amount of physiological uptake in the bone marrow with 68Ga-DOTALAN, and furthermore, the tumor lesions had a higher uptake of 68Ga-DOTATATE in general [69].
Comparison of 64Cu-DOTATATE and 68Ga-DOTATOC is currently being undertaken in our department, but results are not yet available. However, by comparing the image quality and resolution, 64Cu-DOTATATE seems promising (Figure 2). Greater detail is obtained with the use of 64Cu-DOTATATE, probably due to the difference in positron range as described earlier. The inhomogeneous uptake in the large liver metastasis seen on the 64Cu-DOTATATE scan might be interpreted as necrotic tissue and these details are not as clearly seen on the 68Ga-DOTATOC scan.
• Performance of the individual somatostatin receptor PET tracers
In 2012, Treglia et al. published a meta-analysis on the diagnostic performance of 68Ga-labeled PET scans in 567 cases of thoracic and GEP NETs [70]. The pooled sensitivity and specificity values of 68Ga-labeled somatostatin receptor PET tracers (irrespective of tracer type) for detecting GEP or thoracic NETs were 93% (91–95%) and 91% (82–97%), respectively. Looking at the performances of the tracers individually, the sensitivity of 68Ga-DOTATOC (Table 3) for the patient-based studies was 92–100% and the specificity was 83–100%. For 68Ga-DOTATATE (Table 4), the sensitivity seemed to be a little lower at 72–96%, and the specificity was only reported in a few studies to 100%. For 68Ga-DOTANOC (Table 5), the sensitivity ranged from 68 to 100% and the specificity from 93 to 100%.
Taken together, no clear picture of the better performance of one tracer is obvious. However, there could be differences between specific NET types, as they express varying amounts of somatostatin receptor subtypes. The heterogeneity of the tumors in most of the studies can be seen from the tables. However, some studies are focused on specific tumor types and are thus more reliable for the specific type.
• Somatostatin receptor PET tracers for different types of NETs
GEP NETs
In 2011, Naswa et al. published results from 109 patients with GEP NETs examined with 68Ga-DOTANOC and with the use of all common imaging modalities, biochemichal markers and follow-up as references (Table 5) [64]. Metastases were seen in 77 patients and the sensitivity and specificity values were high for these (97 and 100%, respectively), whereas the sensitivity was only 78% for the primary tumors, with a specificity of 93%. Other smaller studies have found sensitivity values on 94–100% for GEP NETs [60,61].
68Ga-DOTATOC showed 100% sensitivity for the eight GEP NET patients included in a study by Hofmann et al. in 2001 [25], and 97% sensitivity for the 50 GEP NET patients included in a study by Gabriel et al. [26]. Versari et al. found a sensitivity of 92% and a specificity of only 83% in 19 patients with duodenopancreatic NETs using 68Ga-DOTATOC (Table 3) [54]. These results might be explained by the previously mentioned difficult interpretations of uptake in the normal pancreatic tissue. In 25 patients with clinically defined gastrinomas with equivocal or negative findings on CT, Naswa et al. reported a sensitivity of 68% using 68Ga-DOTANOC [65].
Lung NETs
The distribution of somatostatin receptors in bronchial carcinoids was studied by Reubi and Waser [51]. sst1 and sst2 were detected in 70% of tumors. sst2 had the highest density, sst3 and sst4 were virtually undetected and sst5 was found in 20% and with low density. This distribution might favor the use of DOTATATE, since it is the somatostatin analog with the highest sst2 affinity.
Kayani et al. examined 18 pulmonary NET patients with 68Ga-DOTATATE and found a sensitivity of only 72% (Table 4) [57]. However, the false-negative tumors were all high-grade tumors that were positive on 18F-fluorodeoxyglucose (FDG) scans, while the typical bronchial carcinoids had high and selective uptake [57]. Ambrosini et al. also found 100% sensitivity and specificity for 68Ga-DOTANOC in nine patients with typical, well-differentiated pulmonary NETs and two postoperation patients without tumors (Table 5) [62]. Using 68Ga-DOTATOC, Jindal et al. showed that typical carcinoids had a higher uptake than atypical ones, and additional lesions that were not seen on CT were found as well [71].
Thus, all three of the tracers had an equally high sensitivity for the typical bronchial carcinoids, while only some of the high-grade tumors were visualized and had a lower uptake of tracer.
Liver metastases
The extent of liver metastasis is often a determinant for the choice of treatment. Options such as chemoembolization, surgical liver resection, radionuclide treatment or liver transplantation are highly dependent on the amount and localization of liver metastases.
The amount of physiological uptake of a tracer in the liver might make a difference between the performances of the different somatostatin receptor PET tracers. However, the ratio between tumor and normal tissue uptake was approximately 3 for both 68Ga-DOTANOC [48] and 68Ga-DOTATOC (Table 2) [47]. In one of the few direct comparison studies, when using 68Ga-DOTANOC, Wild et al. detected significantly more liver lesions than when using 68Ga-DOTATATE, and the tumor-to-background ratios were calculated to be 2.7 and 2.0, respectively (Tables 4 & 5) [60].
Bone metastases
The gold standard for detecting bone metastases is either with 99mTc-dicarboxy propane diphosphonate or the PET tracer 18F-NaF. The detection of bone metastases is important since they are associated with poorer prognosis [72], and extended surgery is contraindicated in patients with known bone metastases [73].
Putzer et al. scanned 51 patients with 68Ga-DOTATOC and a conventional bone scintigraphy (99mTc-dicarboxy propane diphosphonate) or 18F-NaF (Table 3) [53]. 68Ga-DOTATOC proved to be more accurate than both CT and bone scintigraphies. The sensitivity of 68Ga-DOTATOC for detecting bone metastases was 97% and the specificity was 92%. The conventional bone scans did not reveal any additional bone metastases in any patients compared with 68Ga-DOTATOC [53].
Ambrosini et al. detected 44 patients with bone metastases among 223 patients with confirmed NETs using 68Ga-DOTANOC versus 35 patients when using CT alone (Table 5) [63]. With the incorporation of follow-up as a reference, sensitivity and specificity values of 100% were found [63].
Gabriel et al. compared 68Ga-DOTATOC with 99mTc-hydrazinonicotinyl-Tyr(3)-octreotide (HYNIC-TOC) and/or 111In-DTPA-OC and CT in 84 patients and found a significantly better overall diagnostic efficacy with 68Ga-DOTATOC (p = 0.001) (Table 3) [26]. The difference in the detection rate was most pronounced for bone metastases. Of 116 68Ga-DOTATOC PET-positive bone lesions, SPECT delineated 84 lesions (72.5%) and CT delineated only 58 lesions (50%) [26].
In a lesion-to-lesion analysis in 18 patients scanned with both 68Ga-DOTANOC and 68Ga-DOTATATE, Wild et al. reported 68Ga-DOTATATE to detect significantly more bone lesions compared with 68Ga-DOTANOC (89 vs 82) (Tables 4 & 5) [60]. 68Ga-DOTATATE had a lower bone marrow activity than 68Ga-DOTANOC, resulting in a higher tumor-to-background activity for bone metastases with 68Ga-DOTATATE.
Unknown primaries
A well-known situation involves finding metastases of the liver as the first clinical presentation of NETs without any evidence of the primary tumor. In a study by Prasad et al., 59 NET patients with unknown primary tumors were scanned with 68Ga-DOTANOC PET/CT [74]. The primary tumor site was localized in 35 out of 59 patients (59%), while CT alone only found 12 out of 59 primary tumor sites (20%). Thus, PET found almost three-times as many primary tumor sites as CT alone [74]. Similar results were obtained by Naswa et al. with 68Ga-DOTANOC, which found 12 out of 20 primary tumors (60%) in NET patients with unknown primary tumors [75]. Furthermore, they found a significant correlation between the primary tumor SUVmax and the SUVmax of their metastases [75].
Using 68Ga-DOTATATE, Lapińska et al. found the primary tumor in five out of 14 patients (36%) with unknown primary cancers [76]. No direct comparisons of the efficacy for identifying unknown primary tumors between the tracers have been published. A quantitative determination of the amount of the different somatostatin subtypes in the identified metastases of an unknown primary NET could potentially help us to determine what tracer is most likely to be most sensitive in individual cases. This requires that metastases and primary tumors show the same phenotypes.
Unusual NETs
Somatostatin receptor PET with 68Ga-DOTANOC has been described in a small series of rare NETs [77]. 68Ga-DOTANOC was positive, showing at least one positive lesion in seven out of 14 cases. It was considered useful in 12 out of 14 cases, but it was considered inconclusive in two cases, one of uterine and one of ovarian localization. The useful cases included three paragangliomas (all positive), three prostate NETs (one positive and two negative), two uterine cases and a single breast, lymphoma, ear and kidney NET.
Impact on clinical decision-making
The crucial question whenever a new diagnostic modality is evaluated is whether there is a clinical impact on treatment, control or prognosis for patients. The use of somatostatin receptor PET scanning as an addition to conventional imaging by CT or MRI changed treatment in 20–60% of cases [64,78,79], especially those concerning the choice of treatment with PRRT [80]. There is therefore no doubt that NET patients benefit from the use of somatostatin receptor PET imaging. No studies have determined a significant clinical gain of using one tracer over the others among the most used tracers – 68Ga-DOTATOC, 68Ga-DOTATE and 68Ga-DOTANOC.
Dosimetry & the best time to scan
In the process of selecting the optimal tracer for somatostatin receptor imaging, the amount of radiation given to the patient should also be considered, especially since NET patients often receive multiple scans during their lifetime. Differences in radionuclide, affinity and excretion of the somatostatin receptor tracers also lead to variable radiation burden to the patients. A comparison of absorbed doses in the most exposed organs and the effective doses for the whole body is shown in Table 6 for the most commonly used and one promising new tracer [43,81–86].
For 68Ga-emitting somatostatin receptor tracers, the most exposed organ is the spleen, followed by the bladder, kidneys and liver. The primary excretion route is renal. For 64Cu-DOTATATE, uptake in the spleen is lower compared with its 68Ga counterparts (see Figure 2); instead, the liver seems to be more exposed [43]. All of the somatostatin receptor PET tracers possess a dosimetric advantage for the patient compared with the γ-emitting tracers 111In-DTPA-OC and 111In-DOTATOC, both of which result in approximately twice the radiation dose to the patients (Table 6) [86].
The scan times used for 68Ga-PET somatostatin receptor tracers are 30–100 min after the injection of the tracer. This allows sufficient time for the tracer to accumulate in the tumors and background clearance, taking the short half-life of 68Ga (68 min) into account [24,26]. If 64Cu-coupled tracers are used, the possibility of later imaging exists, because of its longer half-life (12.7 h). Scans from 1 to 24 h postinjection have been evaluated, and late scans might give some additional findings in selected cases [43].
Addition of anatomical imaging
Somatostatin receptor PET scanning is often performed together with a CT scan in order to provide anatomical information regarding the discovered lesions. Low-dose CT can be used to spare the patient from the full-dose radiation of a diagnostic CT scan, especially during long-term follow-up. For the initial diagnostic work-up, staging and treatment response, monitoring the highest accuracy must be pursued, and a diagnostic CT scan using a triple-phase CT protocol is recommended or, if possible, a combination of MRI and the PET modality could be used, since this gives very high accuracy.
Ruf et al. compared the sensitivities and accuracies of 68Ga-DOTATOC and each of the three scans from a triple-phase CT protocol in 51 NET patients [87]. PET proved to be the most accurate and robust submodality. For correct topographic assignment of the PET foci, the portal venous phase and venous phase showed comparable sensitivities and the arterial-phase CT was the least prominent, but the most robust. However, each of the scans showed exclusive foci detection and together delivered synergistic information [87]. Enhancement with contrast in a 68Ga-DOTATOC PET/CT study increased the sensitivity from 92 to 99% [88].
The combination of PET with MRI increased the sensitivity for liver metastases (especially lesions of <1 cm) from 74 to 91%, and specificity was raised from 88 to 96% compared with PET/CT [89]. A combination of diffusion-weighted imaging (DWI) and contrast-enhanced MRI (with hepatocyte-specific contrast) improved the specificity [89]. In addition, Giesel et al. found more liver metastases with MRI compared with CT [90], while the two modalities of 68Ga-DOTATOC/low-dose CT and 68Ga-DOTATOC/MRI performed equally in a study by Gaertner et al. [91].
Further to strict anatomical information, additional information might be attainable from MRI due to functional features as DWI and spectroscopy both known to be prognostic in various cancer forms. We have seen several cases of NET liver metastases presenting highly different lesions on DWI and PET scans, and one case has been published [92]. For patients who are not suitable for imaging with contrast-enhanced CT, MRI seems promising for lesion detection [93].
The latest ENETS consensus guidelines state that a high-resolution, three-phase CT in combination with PET using a 68Ga somatostatin receptor PET tracer should be performed in NET patients with unknown primary tumors. Furthermore, MRI is considered to be superior to CT in the detection and follow-up of liver metastases, so if the CT scan of liver metastases is inconclusive, T2-weighted, thin-slice, dynamic, gadolinium-enhanced MRI is recommended [30].
Comparisons with other PET tracers
• Comparison with 18F-l-dihydroxyphenylalanine
Many neuroendocrine cells take up and decarboxylate amino acid precursors, such as l-dihydroxyphenylalanine (DOPA). This feature enables imaging with 18F-DOPA. 18F-DOPA scanning provides information regarding the biochemistry of the tumor, rather than how well it expresses somatostatin receptors. However, in a comparison between 68Ga-DOTANOC and 18F-DOPA in 13 patients with GEP NETs or lung NETs, the 68Ga-DOTANOC scan detected 71 lesions compared with only 45 lesions being found by 18F-DOPA PET scans [61]. In another study of 15 patients, 68Ga-DOTANOC and 18F-DOPA showed comparable results when matched on a patient basis, but on a lesion basis, 68Ga-DOTANOC was again superior, even though the patients had NETs favoring amine precursor uptake and decarboxylation, such as pheochromocytomas, paragangliomas and medullary thyroid cancers [94].
Haug et al. found a patient-based sensitivity of 96% for 68Ga-DOTATATE compared with 56% for 18F-DOPA in 25 patients with well-differentiated metastatic NETs. However, a correlation between the SUVmax of 18F-DOPA and plasma serotonin in patients who were positive for 18F-DOPA was found, suggesting a role for 18F-DOPA scans in serotonin-secreting tumors that are not visible on somatostatin receptor PET [58].
• Comparison with 18F-FDG
18F-FDG PET has recently been shown to provide prognostic information regarding survival from NETs [95]. Binderup et al. found 58% of 96 patients to be positive on 18F-FDG PET [96]. These were mainly found in the group of patients with the highest-proliferating tumors (Ki-67 >15%); among these, 92% were FDG positive. Similarly, Kayani et al. found a significant correlation between the uptake of 68Ga-DOTATATE or 18F-FDG and histological tumor grade on histology [56]. In low-grade NETs, 97 lesions were found by 68Ga-DOTATATE and no lesions were found by 18F-FDG, while 18F-FDG detected 72 lesions compared with no lesions by 68Ga-DOTATATE in high-grade NETs.
Oh et al. investigated somatostatin receptor status and glucose metabolism in a group of patients with progressive, metastasized NETs [97]. Only approximately 60% of the lesions showed matching lesions as detected by both 68Ga-DOTANOC and 18F-FDG.
Wild et al. found that even though the SUVmax decreased for both 68Ga-DOTATOC and 68Ga-DOTATATE as the tumor grade increased, they both detected significantly more G3 lesions (82 and 90%, respectively) than 18F-FDG PET (58%) [60].
Since the most aggressive NETs are often negative on somatostatin receptor imaging and often positive on 18F-FDG PET, there may be a role for the diagnostic use of 18F-FDG PET in somatostatin receptor imaging-negative cases.
Conclusion
It is now 25 years since γ-camera-based somatostatin receptor imaging was introduced and improved diagnosis and patient management in NETs. Recently, several PET tracers, most notably 68Ga-DOTATOC, 68Ga-DOTATATE and 68Ga-DOTANOC, have been introduced as substitutes for γ-emitting tracers. The bulk of the literature has clearly proven that these PET tracers are superior to the γ-emitting 111In-DTPA-OC. On the whole, the 68Ga-based tracers perform similarly and so their choice is best made based on past experience and matching it with PRRT. Accordingly, evidence now supports the shift to somatostatin receptor PET tracers in the clinical routine, as has largely happened, especially in Europe. So far, 18F-labeled somatostatin receptor tracers have not emerged at a larger scale. Two 64Cu-based somatostatin receptor PET tracers have been described, most recently 64Cu-DOTATATE. In theory, 64Cu-labeled tracers should provide better resolutions than 68Ga-labeled tracers, but whether this translates into improved diagnostic performance remains to be shown.
Future perspective
Somatostatin receptor imaging should be performed in PET whenever possible. Whereas the 68Ga-based somatostatin analog tracers have paved the way for using PET instead of SPECT for somatostatin receptor imaging, we foresee that labeling with radionuclides such as 18F and 64Cu, as well as new ligands (e.g., receptor antagonists), will further improve the value and use of these tracers. In addition, tracers that specifically target subtypes of NET (e.g., GLP-1 for the imaging of insulinomas) may become routine in the future. Interesting results have been reported using an analog to the GLP-1 receptor, exendin 4, either coupled to 111In or 68Ga for imaging insulinomas [98–100]. Evidence that the somatostatin receptor and GLP-1 receptor distributions in benign and malignant insulinomas are different has been presented [101,102], and a greater sensitivity for detecting insulinomas overall might therefore be achievable with a combination of tracers in the same way as is observed with FDG and somatostatin receptor PET for poorly differentiated G3 NETs.
| Somatostatin analog | Name | sst1 | sst2 | sst3 | sst4 | sst5 |
|---|---|---|---|---|---|---|
| Ga-DOTA-Tyr3-octreotate | Ga-DOTATATE | >10,000 | 0.2 ± 0.04 | >1000 | 300 ± 140 | 377 ± 18 |
| Ga-DOTA-Tyr3-octreotide | Ga-DOTATOC | >10,000 | 2.5 ± 0.5 | 613 ± 140 | >1000 | 73 ± 21 |
| Ga-DOTA-octreotide | Ga-DOTAOC | >10,000 | 7.3 ± 1.9 | 120 ± 45 | >1000 | 60 ± 14 |
| Ga-DOTA-l-Nal3-octreotide | Ga-DOTANOC | >10,000 | 1.9 ± 0.4 | 40 ± 5.8 | 260 ± 74 | 7.2 ± 1.6 |
| DOTA-lanreotide | DOTALAN | >10,000 | 26 ± 3.4 | 771 ± 229 | >10,000 | 73 ± 12 |
| In-DTPA-octreotide | In-DTPA-OC | >10,000 | 22 ± 3.6 | 182 ± 13 | >1000 | 237 ± 52 |
| Parameter | 68Ga-DOTANOC [48] | 68Ga-DOTATATE [49] | 68Ga-DOTATOC [47] |
|---|---|---|---|
| Patients (n) | 89 | 250 | 249 |
| Dose and preparation | 80–160 MBq iv., 1.5 l water equivalent contrast (gastrografin) orally | 120–220 MBq iv. + 20 mg furosemid, 1.5 l water orally | 68–220 MBq iv., full-dose, contrast-enhanced CT on most |
| Scan protocol | Scan 60–100 min PI, 2–3 min/bed | Scan 60–80 min PI, 3 min/bed | 51–148 min PI, 2 min/bed |
| PET/CT used | Biograph™ Duo (Siemens Medical Solutions, Germany) | Biograph 64 TruePoint™ PET/CT scanner, 3D mode (Siemens Medical Solutions) | Discovery™ 690, 3D mode (GE Healthcare, WI, USA) |
| Uptake | 68Ga-DOTANOC† | 68Ga-DOTATATE† | 68Ga-DOTATOC† |
| Liver: – Normal – Metastases – Ratio‡ | 6.9 ± 2.0 19.6 ± 13.4 3.4 ± 2.3 | 6.5 ± 2.2 NR NR | 12.5 ± 4.0 29.8 ± 16.5 2.8 ± 1.6 (4.7 at 90 min) |
| Bone: – Normal – Metastases – Ratio | 0.8 ± 0.3 9.5 ± 6.0 11.3 ± 8.9 | 1.0 ± 0.3 NR NR | 1.9 ± 0.8 19.8 ± 18.8 10.5 ± 14.2 |
| Pancreas: – Processus uncinatus – Primary tumor – Ratio | 5.8 ± 2.0 20.8 ± 10.8 NR | 6.5 ± 2.2 NR NR | 10.5 ± 4.1 33.6 ± 14.1 5.2 ± 2.8 |
| Muscle: – Normal | 1.0 ± 0.3 | NR | 2.3 ± 1.0 |
| Lymph node: – Metastases | 12.5 ± 10.0 | NR | NR |
| Spleen: – Normal | 22 ± 10.0 | 18.9 ± 6.6 | 32.6 ± 11.8 |
| GI: – Normal | 2.6 ± 1.0 | NR | 4.7 ± 1.9 |
| Pituitary gland: – Normal | 2.6 ± 1.3 | 11 ± 4.5 | 8.0 ± 3.5 |
| Adrenal glands: – Normal | 6.0 ± 2.5 | 14 ± 5.6 | 16.3 ± 5.8 |
| Kidneys: – Normal | 12.9 ± 3.8 | 14.2 ± 3.6 | 20.4 ± 7.7 |
| Study (year) | Patients (n) | Lesions (n) | Injected activity (MBq) | Postinjection time (min) | Tumor type | Reference used | Patients (lesions/regions), n | Sensitivity (%); 95% CI† | Specificity (%); 95% CI† | Ref. | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP | FP | TN | FN | ||||||||||
| Hofmann et al. (2001) | 8 | 40 | 80–250 | 0–84 dyn. | Carcinoids (two lungs, eight abdominal) | 40 predefined lesions on CT or MRI (1–3 cm) | 8 (40) | 0 (0) | 0 (0) | 0 (0) | 100; 63–100 (100; 91–100) | – | [25] |
| Koukouraki et al. (2006) | 22 | 74 | 150–230 | 0–60 dyn. | Metastatic NETs | Needle biopsy, MRI and/or CT, clinical follow-up | 21 (72) | 0 | 0 | 1 (2) | 96; 78–99 (97; 91–100) | – | [52] |
| Buchmann et al. (2007) | 27 | 83 | 100–228 | 45 | 15 GEP, eight CUP, one pulmonary, three other | CT, MRI, histology, 13 regions not verified | 27 (70) | 0 (?) | 0 (?) | 0 (?) | 100; 87–100 | – | [23] |
| Gabriel et al. (2007) | 84 | NR | 100–150 | 100 | 50 GEP, nine CUP, six pulmonary, 19 other | All available data (CT, MRI, histology, NaF | 69 | 1 | 12 | 2 | 97; 90–100 | 92; 64–100 | [26] |
| Putzer et al. (2009) | 51 | NR | 150 | 60–90 | Bone metastases only (34 GEP, ten CUP, five pulmonary, two other) | Bone scintigraphy (99mTc-dicarboxy propane diphosphonate or 18F-NaF), follow-up | 37 | 1 | 12 | 1 | 97; 87–100 | 92; 86–99 | [53] |
| Versari et al. (2010) | 19 | 28 | 1.5–2/kg | 60 | Duodenopancreatic NETs | EUS, MDCT, >6 months follow-up for negative lesions | 12 (20) | 1 (1) | 5 (5) | 1 (3) | 92; 64–100 (87; 68–97) | 83; 66–92 (83; 41–99) | [54] |
| Study (year) | Patients (n) | Lesions/regions (n) | Injected acitivty (MBq) | Postinjection time (min) | Tumor type | Refrence used | Patients (lesions/regions), n | Sensitivity %; 95% CI† | Specificity %; 95% CI† | Ref. | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP | FP | TN | FN | ||||||||||
| Kayani et al. (2008) | 38 | NR | 120–200 | 45–60 | 28 GEP, six pulmonary, four CUP | Histology, FDG | 31 | 0 | 0 | 7 | 82; 66–92 | – | [56] |
| Kayani et al. (2009) | 18 | NR | 120–200 | 45–60 | 18 pulmonary | Histology, follow-up, FDG | 13 | 0 | 0 | 5 | 72; 47–90 | – | [57] |
| Haug et al. (2009) | 51 | 55 regions | 200 | 60 | Metastatic NETs (nine gastrointestinal, five pancreatic, six pulmonary, one other, five CUP | Lesions confirmed by CECT and follow-up | 24 (54) | 0 | 0 | 1 (1) | 96; 81–99 (98; 90–100) | – | [58] |
| Srirajaskanthan et al. (2010) | 25 | 47 regions, 226 lesions | 120–200 | 60 | NETs equivocal or negative on 111In-DTPA-OC | Lesions confirmed by CT or MRI | 41 (168) | 0 | 4 | 6 (58) | 87; 74–95 (74; 68–80) | – | [27] |
| Kabasakal et al. (2012) | 20 | NR | 110–200 | 30–60 | Eight CUP, five pancreatic, two pulmonary, two gastrinomas, two paragangliomas, one MCC, eight G2, one G3, one MANEC, two unknown | Negative patients controlled by MRI, CT and US | 14 | 0 | 5 | 1 | 100; 40–100 (93; 680–99) | 100; 48–100 | [59] |
| Wild et al. (2013) | 18 | 248 lesions | 135–170 | 54–73 | GEP (four G1seven G2, seven G3) | Confirmed by CT or MRI or FDG | 17 (212) | 1 (36) | 94; 73–100 (85; 80–90) | – | [60] | ||
| Study (year) | Patients (n) | Lesions (n) | Injected activity (MBq) | Postinjection time (min) | Tumor type | Reference used | Patients (lesions/regions), n | Sensitivity (%); 95% CI† | Specificity (%); 95% CI† | Ref. | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP† | FP | TN | FN | ||||||||||
| Ambrosini et al. (2008) | 13 | NR | 185 | 60 | 11 GEP, two pulmonary | Follow-up, seen on two imaging modalities | 13 | 0 | 0 | 0 | 100; 73–100 | – | [61] |
| Ambrosini et al. (2009) | 11 | NR | 185 | 60–90 | Pulmonary | CT, MRI, follow-up, histology | 9 | 0 | 2 | 0 | 100; 66–100 | 100; 16–100 | [62] |
| Ambrosini et al. (2010) | 223 | NR | 120–185 | 60 | Confirmed NETs – bone metastases only | Compared with CT and follow-up | 44 | 0 | 179 | 0 | 100; 92–100 | 100; 98–100 | [63] |
| Naswa et al. (2011) | 109 | P: 69; M: 77 | 132–222 | 45–60 | GEP | CT, MRI, US, EUS, biochemical markers, follow-up | P: 54; M: 75 | P: 3; M: 0 | P: 37; M: 32 | P: 15; M: 2 | P: 78; 67–87; M: 97; 91–100 | P: 93; 80–98; M: 100; 89–100 | [64] |
| Krausz et al. (2011) | 19 | NR | 83–184 | 56–96 | Eight carcinoids, nine pancreatic, two CUP | CT, MRI, EUS, histology | 19 | 0 | 0 | 0 | 100; 82–100 | – | [22] |
| Naswa et al. (2013) | 25 | NR | 130–222 | 45–60 | Clinical gastrinomas, negative or equivocal on CT | Clinical status, biochemical gastrin (CgA) | 17 | 0 | 0 | 8 | 68; 47–85 | – | [65] |
| Kabasakal et al. (2012) | 20 | NR | 110–200 | 30–60 | Eight CUP, five pancreatic, two pulmonary, two gastriomas, two paraganglioms, one Merckel cell carcinoma (eight G1, eight G2, one G3, one MANEC, two unknown) | Negative controlled by MRI, CT and US | 14 | 0 | 5 | 1 | 93; 70–99 | 100; 48–100 | [59] |
| Ambrosini et al. (2012) | 1239 | NR | 120–185 | 60 | 670 GEP, 311 non-GEP, 81 CUP, 65 general syndroms, 112 no NET confirmed | Biopsy, surgery, follow-up | 652 | 9 | 524 | 54 | 92; 90–94 | 98; 97–99 | [66] |
| Wild et al. (2013) | 18 | 248 | 130–170 | 60–74 | GEP (four G1, seven G2, seven G3) | Confirmed by CT, MRI or FDG | 17 (232) | 0 | 0 | 1 (16) | 94; 73–100 (94; 89–96) | – | [60] |
| Organ/dose | 68Ga-DOTANOC [81] | 68Ga-DOTATOC [82] | 68Ga–DOTATATE [83] | 64Cu-DOTATATE [43] | 111In-DTPAOC [86] | 111In-DOTATOC [86] |
|---|---|---|---|---|---|---|
| Kidneys (mGy/MBq) | 0.09 | 0.22 | 0.09 | 0.14 | 0.47 | 0.50 |
| Liver (mGy/MBq) | 0.03 | 0.07 | 0.05 | 0.16 | 0.07 | 0.05 |
| Spleen (mGy/MBq) | 0.07 | 0.24 | 0.28 | 0.12 | 0.36 | 0.47 |
| Bladder (mGy/MBq) | 0.08 | 0.07 | 0.13 | 0.04 | 0.19 | 0.16 |
| Effective dose (mSv/MBq) | 0.02 | 0.02 | 0.03 | 0.03 | 0.05 | 0.05 |
| Typical administed dose (MBq) | 120–200 | 120–200 | 120–200 | 180–220 | 111–222 | 140–200 |
| Radiation burden at a typical dose (mSv) | 2.0–3.3 | 2.8–4.6 | 3.0–5.1 | 5.7–6.9 | 5.6–11.1 | 7.0–10.0 |
EXECUTIVE SUMMARY
Neuroendocrine tumors
• Neuroendocrine tumors (NETs) have seen a fivefold increase in incidence since 1973.
• Lung (25%) and gastro–entero–pancreatic NETs (75%) are the most frequent.
• The overexpression of five different subtypes of somatostatin receptors is seen in 80–100% of NETs.
PET versus γ-cameras
• PET has a better sensitivity and resolution compared with imaging by SPECT.
• PET makes the quantification of tracer uptake possible.
• Lower radiation doses to the patients are possible when using PET tracers.
• Lower costs and greater patient comfort are possible with PET.
Somatostatin receptor PET tracers
• 68Ga-DOTA-Tyr3-octreotide (DOTATOC), 68Ga-DOTA-Tyr3-octreotate (DOTATATE) and 68Ga-DOTA-l-Nal3-octreotide (DOTANOC) are the most frequently used tracers for somatostatin receptor PET.
• A few 18F- or 64Cu-labeled tracers have been tested.
• 68Ga and 18F have short half-lives (68 and 110 min, respectively), while 64Cu (half-life: 12.7 h) makes late imaging possible.
• 18F and 64Cu have a shorter positron range than 68Ga, which translates into better resolution.
Affinity of the somatostatin receptor PET tracers
• Ga-DOTATOC has affinity towards sst2 and sst5.
• Ga-DOTATATE only has affinity towards sst2. The affinity is tenfold higher than with Ga-DOTATOC or Ga-DOTANOC.
• Ga-DOTANOC has affinity towards sst2, sst5 and sst3. The affinity towards sst5 is tenfold higher than with Ga-DOTATOC.
• The most abundant receptor is sst2, which is expressed in 70–90% of NETs.
Head-to-head comparison: only a few such studies exist
• 68Ga-DOTATATE versus 68Ga-DOTATOC: patient- or region-based comparisons showed no differences.
• 68Ga-DOTATATE versus 68Ga-DOTANOC: 68Ga-DOTATATE found fewer lesions in one study and more in another. Patient-based comparison showed no differences.
• 68Ga-DOTALAN found fewer lesions than with 68Ga-DOTATOC and 68Ga-DOTATATE.
Performance of somatostatin receptor PET tracers: noncomparative studies
• Patient-based sensitivities for the three most used tracers are: 68Ga-DOTATOC: 78–100%; 68Ga-DOTATATE: 72–100%; and 68Ga-DOTANOC: 68–100%.
Comparison with other PET tracers
• 18F-l-dihydroxyphenylalanine found the fewest lesions in studies comparing it with 68Ga-DOTANOC or 68Ga-DOTATATE.
• 18F-fluorodeoxyglucose (FDG) uptake is seen in high-grade lesions and not in low-grade lesions, which is the opposite in somatostatin receptor PET, making 18F-FDG suitable for aggressive cases.
• 18F-FDG provides prognostic information in NETs.
Conclusion & future perspective
• Somatostatin receptor imaging should be PET based.
• 68Ga-DOTATOC, 68Ga-DOTATATE and 68Ga-DOTANOC all perform well and the choice is best made based on experience with the tracer and matching it with peptide receptor radionuclide therapy.
• 18F- and 64Cu-labeled somatostatin receptors have not emerged into routine practice so far. They have potential for a better resolution than with 68Ga-labeled tracers.
• PET tracers using new somatostatin analogs as radioligands might improve affinity and sensitivity further.
Financial & competing interests disclosure
The generous support of the research into the PET imaging of neuroendocrine tumors in form of unrestriced grants from the Danish National Advanced Technology Foundation, the John and Birthe Meyer Foundation, the Danish Medical Research Council, the Rigshospitalets Research Foundation, the Svend Andersen Foundation, the AP Moller Foundation, the Novo Nordisk Foundation, the Lundbeck Foundation and the Danish Cancer Society is gratefully acknowledged. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.
Open access
This work is licensed under the Creative Commons Attribution-NonCommercial 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/.
Papers of special note have been highlighted as: • of interest; •• of considerable interest
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