Abstract
Pheochromocytoma/paraganglioma (PPGL) syndromes associated with polycythemia have previously been described in association with mutations in the von Hippel–Lindau gene. Recently, mutations in the prolyl hydroxylase gene (PHD) 1 and 2 and in the hypoxia-inducible factor 2 α (HIF2A) were also found to be associated with multiple and recurrent PPGL. Such patients also presented with PPGL and polycythemia, and later on, some presented with duodenal somatostatinoma. In additional patients presenting with PPGL and polycythemia, no further mutations have been discovered. Because the functional imaging signature of patients with PPGL–polycythemia syndromes is still unknown, and because these tumors (in most patients) are multiple, recurrent, and metastatic, the goal of our study was to assess the optimal imaging approach using 4 different PET radiopharmaceuticals and CT/MRI in these patients. Methods: Fourteen patients (10 women, 4 men) with confirmed PPGL and polycythemia prospectively underwent 68Ga-DOTATATE (13 patients), 18F-FDG (13 patients), 18F-fluorodihydroxyphenylalanine (18F-FDOPA) (14 patients), 18F-fluorodopamine (18F-FDA) (11 patients), and CT/MRI (14 patients). Detection rates of PPGL lesions were compared between all imaging studies and stratified between the underlying mutations. Results: 18F-FDOPA and 18F-FDA PET/CT showed similar combined lesion-based detection rates of 98.7% (95% confidence interval [CI], 92.7%–99.8%) and 98.3% (95% CI, 90.9%–99.7%), respectively. The detection rates for 68Ga-DOTATATE (35.3%; 95% CI, 25.0%–47.2%), 18F-FDG (42.3; 95% CI, 29.9%–55.8%), and CT/MRI (60.3%; 95% CI, 48.8%–70.7%) were significantly lower (P < 0.01), irrespective of the mutation status. Conclusion: 18F-FDOPA and 18F-FDA are superior to 18F-FDG, 68Ga-DOTATATE, and CT/MRI and should be the radiopharmaceuticals of choice in this rare group of patients.
Keywords: 18F-FDOPA, 18F-FDA, pheochromocytoma, paraganglioma, polycythemia
Pheochromocytomas/paragangliomas (PPGLs) are rare tumors derived from sympathetic tissue in adrenal or extraadrenal abdominal locations or from parasympathetic tissue in the thorax or head and neck (1). More than 35% of PPGLs are hereditary, including multiple endocrine neoplasia 2 and neurofibromatosis 1. In recent years, mutations in genes encoding the 4 subunits of the succinate dehydrogenase (SDH) complex (2–5), fumarate hydratase (6), and MYC-associated factor X (7) were identified and found to be associated with the presence of multiple and metastatic PPGLs.
In the last few years, hypoxia-inducible factors (HIFs) have been under thorough investigation and HIF 2 α (HIF2A also called EPAS 1) (8,9) as well as prolyl hydroxylase (PHD) 1 and PHD2 mutations have been discovered (10,11) in patients with PPGLs. HIF also functions as a regulator of erythropoietin (12), and patients with mutations in these genes present with multiple, recurrent, and often metastatic PPGLs as well as with polycythemia at birth or in early childhood. A mutation in the von Hippel–Lindau (VHL) gene was previously known to lead to polycythemia via alteration in HIF protein stabilization (9). Patients without HIF2A, PHD1, or PHD2 mutations, but with identical clinical presentations, have been evaluated at our institution. However, in these patients, no known mutations have been identified thus far. Nevertheless, they are strongly suggestive for carrying a yet to be discovered mutation that will lead to an alteration in the HIF signaling pathway, causing multiple PPGLs associated with polycythemia and elevated erythropoietin levels.
The functional imaging signature for patients with these PPGL–polycythemia syndromes has never been evaluated and is, therefore, currently unknown. However, these patients tend to present with recurrent and multiple tumors (8,11), along with metastatic disease (11). Proper staging and early detection of multiple and recurrent lesions or metastatic disease is a critical clinical decision-making point for choosing an appropriate treatment, follow-up, and counseling plan. Therefore, our goal was to evaluate the optimal functional imaging approach in these patients by investigating the currently established and promising radiopharmaceuticals and stratifying these patients by mutation status (HIF2A, PHD, and unknown mutations). We evaluated 68Ga-DOTATATE, 18F-FDG, 18F-fluorodihydroxyphenylalanine (18F-FDOPA), and 18F-fluorodpoamine (18F-FDA). All patients underwent anatomic imaging with whole-body CT/MRI.
When available, histopathologic proof served as our gold standard. When histologic proof was neither feasible nor ethical for lesion detection, the composite of both anatomic and all functional imaging tests was considered the imaging comparator, as previously described and supported (13,14).
MATERIALS AND METHODS
Between February 2014 and November 2015, 14 consecutive patients (4 men, 10 women) with PPGL–polycythemia syndromes with a mean age of 37.0 ± 14.7 y were prospectively evaluated at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) at the National Institutes of Health (NIH). All patients had proven PPGLs based on histopathology as well as a history of polycythemia requiring phlebotomy. Most patients continued with follow-up in 2016.
The study protocol was approved by the institutional review board of the Eunice Kennedy Shriver NICHD (NCT00004847). All patients provided written informed consent for all clinical, genetic, biochemical, and imaging studies regarding PPGLs.
The mean age at diagnosis of primary PPGLs in these patients was 27.6 ± 13.1 y. All 14 patients previously underwent resection of their primary PPGLs, some of them requiring multiple operations. Individual patient characteristics are summarized in Tables 1 and 2.
TABLE 1.
Patient no. | Sex | Mutation | Age (d) | Age (s) | Location of primary tumor | Hypersecretion |
1 | F | HIF2A | 38 | 40 | R perirenal | NE, MTT, CgA |
2 | F | HIF2A | 18 | 24 | R adrenal | DA, MTT |
3 | F | HIF2A | 14 | 33 | L paraaortic | NE, NMN, CgA |
4 | F | HIF2A | 36 | 46 | R paraaortic | Negative |
5 | F | No mutation found | 57 | 57 | L paracaval | NMN, CgA |
6 | F | No mutation found | 39 | 39 | R adrenal | NMN, NE, MN, MTT, CgA |
7 | M | No mutation found | 27 | 36 | L adrenal | NE, NMN, DA, CgA |
8 | M | No mutation found | 18 | 45 | L adrenal | NE, NMN, DA, CgA |
9 | F | PHD1 | 25 | 50 | R paraadrenal | NE, NMN, MN, MTT, CgA |
10 | M | HIF2A | 15 | 17 | L adrenal | NE, NMN, CgA, DA |
11 | F | No mutation found | 30 | 30 | R adrenal | NE, NMN, MTT, CgA |
12 | F | HIF2A | 8 | 11 | R paraaortic | NE, NMN, MN, MTT, CgA |
13 | F | PHD2 | 42 | 63 | L adrenal | NE, NMN, CgA |
14 | M | No mutation found | 16 | 27 | L thoracic paraspinal | NE, DA, CgA |
Age (d) = age at diagnosis; Age (s) = age at study; NE = norepinephrine; MTT = methoxytyramine; CgA = chromogranin A; DA = dopamine; NMN = normetanephrine; MN = metanephrine.
TABLE 2.
Patient no. | Sex | Phlebotomy | Hemoglobin (g/dL) | Hematocrit (%) | Erythropoietin (mIU/mL) |
1 | F | Every 3–6 mo | 16.6 (11.2–15.7) | 54.6 (34.1–44.9) | 112 (2.6–18.5) |
2 | F | Irregular | 18.6 (11.2–15.7) | 63.5 (34.1–44.9) | 102 (2.6–18.5) |
3 | F | Every 3–6 mo | 11.3 (11.2–15.7) | 45.1 (34.1–44.9) | 231 (2.6–18.5) |
4 | F | Irregular | 10.7 (11.2–15.7) | 36.2 (34.1–44.9) | 73 (2.6–18.5) |
5 | F | Every 3–6 mo | 11.3 (11.2–15.7) | 38.5 (34.1–44.9) | 140 (2.6–18.5) |
6 | F | Every 3–6 mo | 14.2 (11.2–15.7) | 45.2 (34.1–44.9) | 19.5 (2.6–18.5) |
7 | M | Every 3 wk | 12.8 (13.3–17.5) | 42.6 (40.1–50.1) | 87.2 (2.6–18.5) |
8 | M | Every 2 mo | 19.7 (13.3–17.5) | 63.0 (40.1–50.1) | 26.2 (2.6–18.5) |
9 | F | Every 5 wk | 16.5 (11.2–15.7) | 51.3 (34.1–44.9) | 29.1 (2.6–18.5) |
10 | M | Every 6–8 wk | 16.2 (13.3–17.5) | 50.7 (40.1–50.1) | 25.8 (2.6–18.5) |
11 | F | Irregular | 17.9 (11.2–15.7) | 51.3 (34.1–44.9) | 18.3 (2.6–18.5) |
12 | F | Every 3–6 mo | 12.4 (10.6–13.2) | 40.8 (32.4–39.5) | 100 (2.6–18.5) |
13 | F | Every 2 mo | 13.4 (11.2–15.7) | 44.6 (34.1–44.9) | 42 (2.6–18.5) |
14 | M | Every 3–4 mo | 13.3 (13.3–17.5) | 46.3 (40.1–50.1) | 106 (2.6–18.5) |
Data in parentheses are normal values.
Imaging Techniques
All CT and MRI scans of the neck, chest, abdomen, and pelvis were obtained as follows and previously described (13). CT scans of the neck, chest, abdomen, and pelvis were obtained using the following devices: Somatom Definition AS and Somatom Definition Flash (Siemens Medical Solutions) and Aquilion ONE (Toshiba Medical Systems). Section thickness was up to 3 mm in the neck and 5 mm through the chest, abdomen, and pelvis. All studies were performed with intravenous rapid infusion of nonionic water-soluble contrast agent as well as oral contrast material.
MRI scans of the neck, chest, abdomen, and pelvis were obtained with 1.5- and 3-T scanners (Achieva 1.5 and 3 T [Philips]; Verio 1.5-T [Siemens Medical Solutions]). Image thickness was 5 mm for all neck studies and 6 mm for chest, abdominal, and pelvic scans. Pre- and postinjection images were obtained in the axial plane. All MRI scans included axial T2 series with and without fat saturation, short tau inversion recovery series, and T1 pre- and postcontrast series. MRI scans of the abdomen and pelvis also included axial T1 in and out of phase and dynamic T1-weighted high-resolution isotropic volume examination during infusion of contrast, followed by delayed axial and coronal postcontrast scans after intravenous injection of a gadolinium–diethylenetriamine pentaacetic acid contrast agent.
Seven patients underwent both CT and MRI studies, whereas the remaining 7 underwent MRI scans only. All 14 patients underwent 18F-FDOPA PET/CT scanning, with 13 patients also undergoing 68Ga-DOTATATE, 12 18F-FDG, and 11 18F-FDA PET/CT scanning.
PET/CT scans from the upper thighs to the skull were acquired 60 min after intravenous injection of a mean administered activity of 185.7 ± 21.4 MBq of 68Ga-DOTATATE, 60 min after 284.7 ± 74.8 MBq of 18F-FDG, 30 min after 420.5 ± 110.2 MBq of 18F-FDOPA, and approximately 8 min after 39.3 ± 0.7 MBq of 18F-FDA. Sixty minutes before each 18F-FDOPA scan, 200 mg of carbidopa was administered orally. All PET/CT scans were acquired on Biograph-mCT 64 and Biograph-mCT 128 PET/CT scanners (Siemens Medical Solutions). PET images were reconstructed using an iterative algorithm provided by the manufacturer, which also uses point-spread function and time of flight. Low-dose CT studies for attenuation correction and anatomic coregistration were performed without contrast.
Analysis of Data
All imaging studies were read by different, experienced nuclear medicine physicians (PET/CT scans) or radiologists (CT and MRI scans) who were masked to all other imaging and clinical data except for the diagnosis, sex, and age of the patient.
SUVmax was determined, and focal areas of abnormal uptake showing a higher SUVmax than surrounding tissue were considered lesions. All imaging studies were performed within 31 ± 43 d of each other. For regional analysis, adrenal glands, liver, abdomen/pelvis (excluding adrenal glands and liver), lungs, mediastinum, neck, and bone were analyzed separately. Lesion-to-lesion analyses were performed, and lesion-related detection rates were compared between the different imaging modalities. If the number of lesions in a region exceeded 15, the count was truncated at 15.
As previously described and supported (13,14), a positive result on at least 2 different functional imaging modalities, or at least 1 functional imaging study and confirmation on CT/MRI, was counted as true disease. Furthermore, histologic proof was available for 18 lesions. The patients were stratified and evaluated separately between HIF2A, PHD, and unknown mutations, as well as for the entire study cohort.
Statistics
Results are given as means with 95% confidence intervals (CIs) unless stated otherwise. For statistical analysis, the McNemar test was used to compare sensitivities between the different imaging modalities. A 2-sided P value of less than 0.05 was considered significant.
RESULTS
18F-FDOPA, identifying 73 of 74 lesions, and 18F-FDA PET/CT, identifying 57 of 58 lesions, demonstrated lesion-based detection rates of 98.7% (95% CI, 92.7%–99.8%) and 98.3% (95% CI, 90.9%–99.7%), respectively. Fourteen patients underwent an 18F-DOPA scan, whereas only 11 underwent an 18F-FDA PET/CT scan. 18F-FDOPA and 18F-FDA PET/CT each identified significantly more lesions than 18F-FDG PET/CT (2-sided P < 0.01), 68Ga-DOTATATE PET/CT (2-sided P < 0.01), and anatomic imaging studies with CT/MRI (2-sided P < 0.01), separately. The stratification of patients into 3 subgroups (HIF2A, PHD, and patients without a known mutation) did not show any significant changes in sensitivities compared with the combined patient group. Lesion-based findings comparing all functional imaging modalities as well as CT/MRI in the mentioned subgroups and in different locations are summarized in Tables 3–7.
TABLE 3.
Lesion | 68Ga-DOTATATE | 18F-FDG | 18F-FDOPA | 18F-FDA | CT/MRI |
Combined | 24/68 | 22/52 | 73/74 | 57/58 | 44/74 |
HIF2A | 10/20 | 11/26 | 25/26 | 14/15 | 18/26 |
PHD | 1/5 | 3/5 | 5/5 | 3/3 | 2/5 |
Unknown mutation | 13/43 | 8/21 | 43/43 | 40/40 | 24/43 |
TABLE 7.
Lesions | 68Ga-DOTATATE | 18F-FDG | 18F-FDOPA | 18F-FDA | CT/MRI |
All compartments | 20/52 | 13/52 | 51/52 | 51/52 | 31/52 |
Neck | 1/1 | 0/1 | 1/1 | 1/1 | 0/1 |
Adrenal R | 0/0 | 0/0 | 0/0 | 0/0 | 0/0 |
Adrenal L | 1/1 | 0/1 | 1/1 | 1/1 | 1/1 |
Abdomen | 15/32 | 13/32 | 32/32 | 32/32 | 22/32 |
Liver | 3/12 | 0/12 | 11/12 | 11/12 | 5/12 |
Bone | 0/6 | 0/6 | 6/6 | 6/6 | 3/6 |
TABLE 4.
Lesion | 68Ga-DOTATATE | 18F-FDG | 18F-FDOPA | 18F-FDA | CT/MRI |
Combined | 35.3 (25.0–47.2) | 42.3 (29.9–55.8) | 98.7 (92.7–99.8) | 98.3 (90.9–99.7) | 60.3 (48.8–70.7) |
HIF2A | 50.0 (29.9–70.0) | 42.3 (25.5–61.1) | 96.1 (81.1–99.3) | 93.3 (70.2–98.8) | 69.2 (50.0–83.5) |
PHD | 20.0 (3.6–62.5) | 60.0 (23.1–88.2) | 100 (56.6–100) | 100 (43.9–100) | 40.0 (11.8–76.9) |
Unknown mutation | 30.2 (18.6–45.1) | 38.1 (20.7–59.1) | 100 (91.8–100) | 100 (91.2–100) | 55.8 (41.1–69.6) |
TABLE 5.
Lesion | 68Ga-DOTATATE | 18F-FDG | 18F-FDOPA | 18F-FDA | CT/MRI |
All compartments | 24/68 | 22/52 | 73/74 | 57/58 | 44/74 |
Neck | 1/1 | 0/1 | 1/1 | 1/1 | 0/1 |
Adrenal R | 0/1 | 0/1 | 1/1 | 1/1 | 1/1 |
Adrenal L | 1/2 | 0/2 | 2/2 | 1/1 | 2/2 |
Abdomen | 19/46 | 22/47 | 52/52 | 37/37 | 33/52 |
Liver | 3/12 | 0/1 | 11/12 | 11/12 | 5/12 |
Bone | 0/6 | 0/0 | 6/6 | 6/6 | 3/6 |
TABLE 6.
Detection rate | 68Ga-DOTATATE | 18F-FDG | 18F-FDOPA | 18F-FDA | CT/MRI |
All compartments | 35.3 (25.0–47.2) | 42.3 (29.9–55.8) | 98.7 (92.7–99.8) | 98.3 (90.9–99.7) | 60.3 (48.8–70.7) |
Neck | 100 (20.7–100) | 0.0 (0.0–79.4) | 100 (20.7–100) | 100 (20.7–100) | 0.0 (0.0–79.4) |
Adrenal R | 0.0 (0.0–79.4) | 0.0 (0.0–79.4) | 100 (20.7–100) | 100 (20.7–100) | 0.0 (0.0–79.4) |
Adrenal L | 50 (9.5–90.6) | 0.0 (0.0–65.6) | 100 (34.2–100) | 100 (34.2–100) | 100 (34.2–100) |
Abdomen | 41.3 (28.3–55.6) | 46.8 (33.3–60.8) | 100 (93.1–100) | 100 (90.6–100) | 63.5 (49.9–75.2) |
Liver | 25.0 (8.9–53.2) | 0.0 (0.0–79.4) | 91.7 (64.6–98.5) | 91.7 (64.6–98.5) | 41.7 (19.3–68.1) |
Bone | 0.0 (0.0–39.1) | — | 100 (61.0–100) | 100 (61.0–100) | 50.0 (18.7–81.2) |
Histopathologic proof was feasible for 18 lesions in 5 patients. Three of these histologically confirmed lesions were positive only on 18F-FDOPA PET/CT and negative on all other imaging modalities, including CT and MRI.
In 4 patients, metastatic lesions were found in retroperitoneal lymph nodes, liver, and bones. On 18F-FDOPA, 4 additional liver lesions and 3 additional abdominal lesions were seen, which were not positive on any other imaging modality or verified by histopathology, and were therefore counted as possibly false-positive. Possible false-positive results for 68Ga-DOTATATE were found in 1 bone lesion, for 18F-FDA in 4 abdominal lesions, and for 18F-FDG in 5 abdominal lesions. Two positive lesions on 18F-FDG were confirmed as metastatic somatostatinoma in a patient with an HIF2A mutation. However, many other somatostatinoma metastases (confirmed by histopathology) in this patient were negative on 18F-FDG and also negative on all other imaging modalities, including anatomic, investigated in this study. Therefore, these negative somatostatinoma lesions were excluded from our evaluation.
68Ga-DOTATATE PET/CT was falsely and completely negative in 2 patients with 5 lesions identified on at least 2 other imaging modalities. 18F-FDG PET/CT was totally negative in 1 patient with 5 similarly detected lesions.
Mean SUVmax for identified lesions was 33.7 ± 18.3 for 68Ga-DOTATATE, 10.8 ± 4.6 for 18F-FDG, 40.8 ± 20.9 for 18F-FDOPA, and 23.1 ± 13.5 for 18F-FDA.
A PET imaging example comparing 68Ga-DOTATATE, 18F-FDG, 18F-FDOPA, and 18F-FDA PET/CT in the same patient is shown in Figure 1.
DISCUSSION
We present the largest study evaluating the functional imaging signature of patients presenting with the rare PPGL–polycythemia syndromes using 4 different PET radiopharmaceuticals, including 68Ga-DOTATATE, 18F-FDG, 18F-FDOPA, and 18F-FDA, as well as CT and MRI.
18F-FDOPA and 18F-FDA PET/CT showed similar, significantly higher detection rates, 98.6% and 98.3%, respectively, than all other investigated imaging modalities in this study. Stratification of patients into 3 subgroups (HIF2A, PHD, and patients without a known mutation) did not show any significant differences compared with the entire study cohort.
18F-FDOPA and 18F-FDA are both specific radiopharmaceuticals. 18F-FDOPA targets the cell via the large amino acid transporter system (15), has previously shown good diagnostic results in other neuroendocrine tumors (15), and is currently recommended for head and neck PGL imaging as well as for metastatic disease in sporadic metastatic PGL (16).
18F-FDA specifically enters the cell via the norepinephrine transporter and targets the catecholamine synthesis, storage, and secretion pathways (17,18). Although 18F-FDA has shown mixed results in patients with more dedifferentiated PPGLs with underlying SDH subunit B (SDHB) mutations, it has shown a good diagnostic accuracy in primary as well as metastatic sporadic PPGLs (19–21). Although some of the patients in our cohort had metastatic disease, the excellent and almost equal diagnostic performance of 18F-FDOPA and 18F-FDA in all patients evaluated in this study suggests that PPGLs in patients with PPGL–polycythemia syndromes are, in general, more well-differentiated tumors in which the expression and function of large amino acid transporter and norepinephrine transporter systems is not significantly impaired. This is supported by the biochemical phenotype of these tumors (Table 1).
Although the diagnostic utility of 123I-metaiodobenzylguanidine (MIBG), which was not evaluated in this study, is known to be inferior to 18F-FDA (19), the evaluation of 123I-MIBG uptake might be of importance in these patients because 123I-MIBG and 18F-FDA enter the cell via the same transporter-system (21) and 123I-MIBG uptake identifies patients who are potentially eligible for 131I-MIBG treatment. Considering the limited availability of 18F-FDOPA and 18F-FDA, and the limited diagnostic value of 18F-FDG and 68Ga-DOTATATE in this study, 123I-MIBG could be an appropriate diagnostic imaging modality for this group of patients. However, the utility of 123I-MIBG needs further evaluation.
18F-FDG is currently the radiopharmaceutical of choice in metastatic PPGL (22–24) and has good accuracy, especially in patients with more dedifferentiated tumors and underlying SDHB mutations (20,25). These tumors show upregulated expression of glucose transporters as well as an upregulation of hexokinase, which explains the high 18F-FDG uptake in tumors with SDH subunit A–D (collectively SDHx) deficiency (26,27). These tumors belong to the cluster 1 pseudohypoxic tumors and are believed to be associated with HIF stabilization (28). Furthermore, an upregulation of glucose transporters was shown in HIF2A and PHD mutation–related tumors (11,28). However, despite these similarities to SDHx-related tumors, the tumors in our patient cohort showed a low detection rate for 18F-FDG PET/CT, which could possibly be explained by a lack of hexokinase upregulation, which has been shown in HIF2A-mutated tumors (28).
68Ga-DOTATATE PET/CT was recently introduced into PPGL imaging and has shown excellent results in the patient groups evaluated thus far, which mainly include those with sporadic and SDHB-related metastatic PPGL as well as head and neck PGLs (13,29–34). If metastatic tumors are positive on 68Ga-DOTATATE, patients may be eligible for peptide receptor radionuclide therapy. In studies performed at our institution, 68Ga-DOTATATE was superior to 18F-FDOPA, 18F-FDA, and 18F-FDG in most patients studied so far (13,30). Therefore, the low lesion detection rate in the PPGL–polycythemia patient cohort was surprising. In fact, 68Ga-DOTATATE had the lowest lesion detection rate among all of the imaging procedures, identifying only 35.8% of all lesions, indicating that most of the patients in this patient cohort would be poor candidates for peptide receptor radionuclide therapy, because only a minority of lesions showed significant 68Ga-DOTATATE uptake.
Future studies need to investigate whether the poor performance of 68Ga-DOTATATE in this patient cohort is due to a lack of somatostatin receptor (SSR) expression, inactivation of SSR, or overexpression of SSR of other subtypes that could potentially be visualized with 68Ga-DOTATOC or 68Ga-DOTANOC, because these radiopharmaceuticals show affinity for SSR3 and SSR5, whereas 68Ga-DOTATATE shows selective affinity for SSR2 (35).
False-positive lesions were found with every radiopharmaceutical. The fact that some lesions were identified only by 18F-FDOPA, and were confirmed by histopathology, suggests that some of the lesions counted as false-positive could have actually been true-positive disease. Two positive lesions on 18F-FDG were found in a patient who also had confirmed metastatic somatostatinoma related to her HIF2A mutation. Therefore, it may be that the 18F-FDG–positive lesions in this patient are related to somatostatinoma. On the basis of the limited experience in this single patient, confirmation of her metastatic somatostatinoma also suggests that 68Ga-DOTATATE, 18F-FDOPA, and 18F-FDA are unlikely to detect somatostatinoma-related lesions.
Our study has several limitations. Although this is the largest cohort with PPGL–polycythemia patients evaluated to date, the sample size is still small. However, this is not surprising, because this is a rare syndromic presentation. Only Därr et al. have already investigated the clinical and imaging features in a group consisting of 7 HIF2A patients, also showing good lesion detection rates with 18F-FDOPA PET/CT (36). Although Därr et al. focused solely on HIF2A-releated PPGL and polycythemia, our study investigated patients with HIF2A-, PHD1-, and PHD2-related mutations, as well as patients with identical clinical presentations, but no known mutations. Furthermore, histologic proof was neither feasible nor ethical for many lesions, although our imaging comparator might have given a good approximation of truth.
CONCLUSION
The specific, well-established radiopharmaceuticals 18F-FDOPA and 18F-FDA showed excellent and equal diagnostic performance in lesion detection in PPGL–polycythemia patients, detecting significantly more lesions than 18F-FDG, 68Ga-DOTATATE, and anatomic imaging with CT/MRI, irrespective of the underlying mutation status. Therefore, 18F-FDOPA and 18F-FDA appear to be the preferred radiopharmaceuticals for evaluation of this rare group of patients. However, 18F-FDOPA and especially 18F-FDA are of limited availability. Because 18F-FDA and 123/131I-MIBG use the same transporter system, these patients may be excellent candidates for 123/131I-MIBG imaging and treatment. This needs to be evaluated in future studies.
DISCLOSURE
This work was supported, in part, by the Intramural Research Program of the NIH, Eunice Kennedy Shriver NICHD. No other potential conflict of interest relevant to this article was reported.
Acknowledgments
We thank the patients, their families, and their referring physicians, as well as the technologists in the NIH PET Department.
REFERENCES
- 1.DeLellis RA. Pathology and Genetics of Tumours of Endocrine Organs. Lyon, France: IARC Press; 2004. [Google Scholar]
- 2.Timmers HJ, Kozupa A, Eisenhofer G, et al. Clinical presentations, biochemical phenotypes, and genotype-phenotype correlations in patients with succinate dehydrogenase subunit B-associated pheochromocytomas and paragangliomas. J Clin Endocrinol Metab. 2007;92:779–786. [DOI] [PubMed] [Google Scholar]
- 3.Brouwers FM, Eisenhofer G, Tao JJ, et al. High frequency of SDHB germline mutations in patients with malignant catecholamine-producing paragangliomas: implications for genetic testing. J Clin Endocrinol Metab. 2006;91:4505–4509. [DOI] [PubMed] [Google Scholar]
- 4.Benn DE, Robinson BG, Clifton-Bligh RJ. 15 years of paraganglioma: clinical manifestations of paraganglioma syndromes types 1-5. Endocr Relat Cancer. 2015;22:T91–T103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Amar L, Bertherat J, Baudin E, et al. Genetic testing in pheochromocytoma or functional paraganglioma. J Clin Oncol. 2005;23:8812–8818. [DOI] [PubMed] [Google Scholar]
- 6.Castro-Vega LJ, Buffet A, De Cubas AA, et al. Germline mutations in FH confer predisposition to malignant pheochromocytomas and paragangliomas. Hum Mol Genet. 2014;23:2440–2446. [DOI] [PubMed] [Google Scholar]
- 7.Burnichon N, Cascon A, Schiavi F, et al. MAX mutations cause hereditary and sporadic pheochromocytoma and paraganglioma. Clin Cancer Res. 2012;18:2828–2837. [DOI] [PubMed] [Google Scholar]
- 8.Pacak K, Jochmanova I, Prodanov T, et al. New syndrome of paraganglioma and somatostatinoma associated with polycythemia. J Clin Oncol. 2013;31:1690–1698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhuang Z, Yang C, Lorenzo F, et al. Somatic HIF2A gain-of-function mutations in paraganglioma with polycythemia. N Engl J Med. 2012;367:922–930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ladroue C, Carcenac R, Leporrier M, et al. PHD2 mutation and congenital erythrocytosis with paraganglioma. N Engl J Med. 2008;359:2685–2692. [DOI] [PubMed] [Google Scholar]
- 11.Yang C, Zhuang Z, Fliedner SM, et al. Germ-line PHD1 and PHD2 mutations detected in patients with pheochromocytoma/paraganglioma-polycythemia. J Mol Med. 2015;93:93–104. [DOI] [PubMed] [Google Scholar]
- 12.Franke K, Gassmann M, Wielockx B. Erythrocytosis: the HIF pathway in control. Blood. 2013;122:1122–1128. [DOI] [PubMed] [Google Scholar]
- 13.Janssen I, Blanchet EM, Adams K, et al. Superiority of [68Ga]-DOTATATE PET/CT to other functional imaging modalities in the localization of SDHB-associated metastatic pheochromocytoma and paraganglioma. Clin Cancer Res. 2015;21:3888–3895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hofman MS, Hicks RJ. Moving Beyond “Lumpology”: PET/CT imaging of pheochromocytoma and paraganglioma. Clin Cancer Res. 2015;21:3815–3817. [DOI] [PubMed] [Google Scholar]
- 15.Santhanam P, Taieb D. Role of 18F-FDOPA PET/CT imaging in endocrinology. Clin Endocrinol (Oxf). 2014;81:789–798. [DOI] [PubMed] [Google Scholar]
- 16.Taïeb D, Timmers HJ, Hindie E, et al. EANM 2012 guidelines for radionuclide imaging of phaeochromocytoma and paraganglioma. Eur J Nucl Med Mol Imaging. 2012;39:1977–1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Pacak K, Eisenhofer G, Carrasquillo JA, Chen CC, Li ST, Goldstein DS. 6-[18F]fluorodopamine positron emission tomographic (PET) scanning for diagnostic localization of pheochromocytoma. Hypertension. 2001;38:6–8. [DOI] [PubMed] [Google Scholar]
- 18.Eisenhofer G, Hovevey-Sion D, Kopin IJ, et al. Neuronal uptake and metabolism of 2- and 6-fluorodopamine: false neurotransmitters for positron emission tomographic imaging of sympathetically innervated tissues. J Pharmacol Exp Ther. 1989;248:419–427. [PubMed] [Google Scholar]
- 19.Timmers HJ, Eisenhofer G, Carrasquillo JA, et al. Use of 6-[18F]-fluorodopamine positron emission tomography (PET) as first-line investigation for the diagnosis and localization of non-metastatic and metastatic phaeochromocytoma (PHEO). Clin Endocrinol (Oxf). 2009;71:11–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Timmers HJ, Kozupa A, Chen CC, et al. Superiority of fluorodeoxyglucose positron emission tomography to other functional imaging techniques in the evaluation of metastatic SDHB-associated pheochromocytoma and paraganglioma. J Clin Oncol. 2007;25:2262–2269. [DOI] [PubMed] [Google Scholar]
- 21.Timmers HJ, Chen CC, Carrasquillo JA, et al. Comparison of 18F-fluoro-L-DOPA, 18F-fluoro-deoxyglucose, and 18F-fluorodopamine PET and 123I-MIBG scintigraphy in the localization of pheochromocytoma and paraganglioma. J Clin Endocrinol Metab. 2009;94:4757–4767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lenders JW, Duh QY, Eisenhofer G, et al. Pheochromocytoma and paraganglioma: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2014;99:1915–1942. [DOI] [PubMed] [Google Scholar]
- 23.Mann GN, Link JM, Pham P, et al. [11C]metahydroxyephedrine and [18F]fluorodeoxyglucose positron emission tomography improve clinical decision making in suspected pheochromocytoma. Ann Surg Oncol. 2006;13:187–197. [DOI] [PubMed] [Google Scholar]
- 24.Shulkin BL, Thompson NW, Shapiro B, Francis IR, Sisson JC. Pheochromocytomas: imaging with 2-[fluorine-18]fluoro-2-deoxy-D-glucose PET. Radiology. 1999;212:35–41. [DOI] [PubMed] [Google Scholar]
- 25.Timmers HJ, Chen CC, Carrasquillo JA, et al. Staging and functional characterization of pheochromocytoma and paraganglioma by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography. J Natl Cancer Inst. 2012;104:700–708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Favier J, Briere JJ, Burnichon N, et al. The Warburg effect is genetically determined in inherited pheochromocytomas. PLoS One. 2009;4:e7094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mathupala SP, Ko YH, Pedersen PL. Hexokinase-2 bound to mitochondria: cancer’s stygian link to the “Warburg Effect” and a pivotal target for effective therapy. Semin Cancer Biol. 2009;19:17–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Jochmanová I, Yang C, Zhuang Z, Pacak K. Hypoxia-inducible factor signaling in pheochromocytoma: turning the rudder in the right direction. J Natl Cancer Inst. 2013;105:1270–1283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tan TH, Hussein Z, Saad FF, Shuaib IL. Diagnostic performance of 68Ga-DOTATATE PET/CT, 18F-FDG PET/CT and 131I-MIBG scintigraphy in mapping metastatic pheochromocytoma and paraganglioma. Nucl Med Mol Imaging. 2015;49:143–151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Janssen I, Chen CC, Taieb D, et al. 68Ga-DOTATATE PET/CT in the localization of head and neck paragangliomas compared to other functional imaging modalities and CT/MRI. J Nucl Med. 2016;57:186–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Naji M, Zhao C, Welsh SJ, et al. 68Ga-DOTA-TATE PET vs. 123I-MIBG in identifying malignant neural crest tumours. Mol Imaging Biol. 2011;13:769–775. [DOI] [PubMed] [Google Scholar]
- 32.Win Z, Al-Nahhas A, Towey D, et al. 68Ga-DOTATATE PET in neuroectodermal tumours: first experience. Nucl Med Commun. 2007;28:359–363. [DOI] [PubMed] [Google Scholar]
- 33.Sharma P, Thakar A, Suman KCS, et al. 68Ga-DOTANOC PET/CT for baseline evaluation of patients with head and neck paraganglioma. J Nucl Med. 2013;54:841–847. [DOI] [PubMed] [Google Scholar]
- 34.Naswa N, Sharma P, Nazar AH, et al. Prospective evaluation of 68Ga-DOTA-NOC PET-CT in phaeochromocytoma and paraganglioma: preliminary results from a single centre study. Eur Radiol. 2012;22:710–719. [DOI] [PubMed] [Google Scholar]
- 35.Reubi JC, Schar JC, Waser B, et al. Affinity profiles for human somatostatin receptor subtypes SST1-SST5 of somatostatin radiotracers selected for scintigraphic and radiotherapeutic use. Eur J Nucl Med. 2000;27:273–282. [DOI] [PubMed] [Google Scholar]
- 36.Därr R, Nambuba J, Del Rivero J, et al. Novel insights into the polycythemia-paraganglioma-somatostatinoma syndrome. Endocr Relat Cancer. 2016;23:899–908. [DOI] [PMC free article] [PubMed] [Google Scholar]