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Value of [68Ga]Ga-somatostatin receptor PET/CT in the grading of pulmonary neuroendocrine (carcinoid) tumours and the detection of disseminated disease: single-centre pathology-based analysis and review of the literature

EJNMMI Research volume 12, Article number: 28 (2022) Cite this article

Abstract

Background

Although most guidelines suggest performing a positron emission tomography/computed tomography (PET/CT) with somatostatin receptor (SSTR) ligands for staging of pulmonary carcinoid tumours (PC), only a limited number of studies have evaluated the role of this imaging tool in this specific patient population. The preoperative differentiation between typical carcinoid (TC) and atypical carcinoid (AC) and the extent of dissemination (N/M status) are crucial factors for treatment allocation and prognosis of these patients. Therefore, we performed a pathology-based retrospective analysis of the value of SSTR PET/CT in tumour grading and detection of nodal and metastatic involvement of PC and compared this with the previous literature and with [18F]FDG PET/CT in a subgroup of patients.

Methods

SSTR PET/CT scans performed between January 2007 and May 2020 in the context of PC were included. If available, [18F]FDG PET/CT images were also evaluated. The maximum standardized uptake (SUVmax) values of the primary tumour, of the pathologically examined hilar and mediastinal lymph node stations, as well as of the distant metastases, were recorded. Tumoural SUVmax values were related to the tumour type (TC versus AC) for both SSTR and [18F]FDG PET/CT in diagnosing and differentiating both tumour types. Nodal SUVmax values were compared to the pathological status (N+ versus N−) to evaluate the diagnostic accuracy of SSTR PET/CT in detecting lymph node involvement. Finally, a mixed model analysis of all pathologically proven distant metastatic lesions was performed.

Results

A total of 86 SSTR PET/CT scans performed in 86 patients with PC were retrospectively analysed. [18F]FDG PET/CT was available in 46 patients. Analysis of the SUVmax values in the primary tumour showed significantly higher SSTR uptake in TC compared with AC (median SUVmax 18.4 vs 3.8; p = 0.003) and significantly higher [18F]FDG uptake in AC compared to TC (median SUVmax 5.4 vs 3.5; p = 0.038). Receiver operating characteristic (ROC) curve analysis resulted in an area under the curve (AUC) of 0.78 for the detection of TC on SSTR PET/CT and of 0.73 for the detection of AC on [18F]FDG PET/CT. A total of 267 pathologically evaluated hilar and mediastinal lymph node stations were analysed. ROC analysis of paired SSTR/[18F]FDG SUVmax values for the detection of metastasis of TC in 83 lymph node stations revealed an AUC of 0.91 for SSTR PET/CT and of 0.74 for [18F]FDG PET/CT (difference 0.17; 95% confidence interval − 0.03 to 0.38; p = 0.10). In a sub-cohort of 10 patients with 12 distant lesions that were pathologically examined due to a suspicious aspect on SSTR PET/CT, a positive predictive value (PPV) of 100% was observed.

Conclusion

Our findings confirm the higher SSTR ligand uptake in TC compared to AC and vice versa for [18F]FDG uptake. More importantly, we found a good diagnostic performance of SSTR PET/CT for the detection of hilar and mediastinal lymph node metastases of TC. Finally, a PPV of 100% for SSTR PET/CT was found in a small sub-cohort of patients with pathologically investigated distant metastatic lesions. Taken together, SSTR PET/CT has a very high diagnostic value in the TNM assessment of pulmonary carcinoids, particularly in TC, which underscores its position in European guidelines.

Background

Pulmonary carcinoid tumours (PC), also known as bronchial carcinoid tumours, are a group of well-differentiated, low (typical carcinoid, TC) to intermediate (atypical carcinoid, AC) grade neuroendocrine tumours (NETs), originating from enterochromaffin or Kulchitzky cells in the respiratory tract [1, 2]. Of all well-differentiated NETs, around 25% are located in the respiratory tract [1, 3, 4]. The age-adjusted incidence rate ranges from 0.2 to 2/100000 persons/year in both the USA and Europe [1,2,3,4]. There has been an increase in prevalence over the past decades, regardless of confounding demographic factors [1,2,3, 5]. Other types of pulmonary NETs include the high-grade large-cell neuroendocrine carcinoma (LCNEC) and small-cell lung carcinoma (SCLC), which are classified as different clinico-pathological entities, are characterized by the presence of tumour necrosis and higher mitotic rates and are associated with a worse prognosis [4, 6].

Pathologic examination is the cornerstone in the diagnostic assessment of any pulmonary NET, with the recent fifth edition of the WHO nomenclature of thoracic tumours being the current standard for classification [6]. Mitosis and necrosis are the histopathologic features that distinguish TC from AC [6, 7]. To provide the TNM staging for PC according to the eighth edition lung cancer stage classification, diagnostic tools vary widely between institutions and countries, with the traditional morphologic computed tomography (CT) still being the gold standard [2, 8]. However, CT imaging features of a PC are often nonspecific and are unable to differentiate between a PC, an adenocarcinoma or a squamous cell carcinoma, let alone between TC and AC [7, 9]. Also, a correct preoperative pathologic evaluation is generally hard to obtain, and the preoperative differentiation between TC and AC is considered not feasible even if using the Ki67 proliferation index [7, 10]. In this context, PET could be seen as a “noninvasive biopsy” and an accurate full TNM staging examination [7, 11].

Since several decades, it is known that NETs—in particular if well-differentiated—express high levels of somatostatin receptors (SSTR), specifically subtype 2 [12, 13]. In the early 1990s, the first studies with radiolabelled octreotide derivatives showed the potential for in vivo detection of SSTR expression within tumours, raising interest in this new molecular imaging tool [14]. [111In]In-pentetreotide (brand name: Octreoscan®) was one of the first widespread functional imaging tools for NETs [15, 16]. Over the past two decades, several other somatostatin analogs (SSA) with a higher affinity for SSTR have been developed (DOTATATE, DOTANOC, DOTATOC) [17]. These agents can be labelled with gallium-68 (68Ga), a positron emitter that enables PET imaging and thus provides improved image quality and spatial resolution [18, 19]. Moreover, novel agents that can be labelled with fluorine-18 or copper-64 will increase the availability of SSTR PET in the near future [20, 21]. SSTR PET/CT imaging proved to visualize nearly 80% of primary PC tumours [1]. Furthermore, it is the most sensitive imaging technique for the detection of metastatic disease, especially regarding bone metastases for which CT can have a low sensitivity [22,23,24,25]. Therefore, SSTR PET/CT is suggested as a basic tool in the TNM staging of PC in most guidelines, together with contrast-enhanced CT of the chest and liver in a late arterial phase [1, 26]. For [18F]FDG PET/CT, the detection rate of the primary tumour and metastatic lymph nodes from PC that are reported in the literature vary widely, probably due to the major difference in glucose metabolic activity between TC, AC and high-grade neuroendocrine lung tumours [7, 27]. In this way, the combined use of SSTR PET/CT and [18F]FDG PET/CT can be helpful in determining the biology of PC [1, 18, 28, 29].

Therapeutic strategies for PC include resection of the tumour for limited disease, administration of somatostatin analogs for carcinoid syndrome or as first-line systemic antiproliferative treatment in unresectable PCs, and systemic therapy for metastatic disease (everolimus, chemotherapy, peptide receptor radionuclide therapy (PRRT)) [1, 2, 4, 30].

In this study, we firstly wanted to study retrospectively the value of dual (SSTR/[18F]FDG) PET/CT in the assessment of the tumour biology, based on the widely known “flip-flop phenomenon” of high SSTR and low [18F]FDG uptake in well-differentiated tumours and the opposite imaging phenotype in poorly differentiated tumours [31]. Although hilar and mediastinal lymph node involvement is known as one of the most important prognostic factors in PC, no studies have been done to quantitatively assess the diagnostic performance of SSTR PET/CT in the detection of these regional lymph node metastases [32, 33]. The most common sites of distant PC metastases are the liver and bones. Therefore, we also wanted to evaluate the pathology-based diagnostic accuracy of SSTR PET/CT with specific emphasis on regional lymph node involvement and on distant metastatic disease, based on a retrospective analysis of the preoperative SSTR PET/CT images and the pathology reports. As most literature reviews on the diagnostic value of SSTR PET/CT focus on NETs in general, with a strong emphasis on gastroenteropancreatic (GEP) NETs [18], we also provide a literature overview of the diagnostic performance and impact of SSTR PET/CT on the TNM staging for pulmonary neuroendocrine tumours in particular.

Methods

Patient selection

This was a retrospective study with prior approval of the Research Ethics Committee UZ/KU Leuven (study number MP015178). Databases of the nuclear medicine department and the department of thoracic surgery were searched for patients who had a SSTR PET/CT and a standard CT in the context of staging or follow-up for a histologically proven NET of the lung in the period from January 2007 (start of SSTR PET/CT at our centre) to May 2020 (cut-off date). Only SSTR PET/CTs performed in our institution were included. The absence of an [18F]FDG PET/CT or the execution of [18F]FDG PET/CT in an external centre was not considered an exclusion criterion. Patient characteristics, clinical presentation, laboratory results, histopathology, diagnostic imaging, decision of the multidisciplinary tumour board, treatment and follow-up were noted.

Positron emission tomography/computed tomography (PET/CT) protocols and image analysis

All SSTR PET/CTs were performed on a dedicated hybrid scanner (Biograph 16-slice HiRez LSO PET/CT (Siemens, Erlangen, Germany), Biograph 40 TruePoint PET/CT (Siemens, Erlangen, Germany) or Discovery MI4 PET/CT (GE, Milwaukee, WI, USA)). These cameras were EARL accredited for [18F]FDG and cross-calibrated for gallium-68. However, they are not accredited by the recently launched EARL accreditation programme for gallium-68. The tracer used was initially [68Ga]Ga-DOTATOC (synthesis as described) [34], with a switch to [68Ga]Ga-DOTATATE from the end of 2012 onwards. If an [18F]FDG PET/CT was performed during diagnostic work-up with a maximum interval of 6 months from the SSTR PET/CT, these data were retrieved for paired analysis. A paired analysis was only done if no therapeutic interventions occurred during the time interval between [18F]FDG and SSTR PET/CT. All images were re-evaluated using MIM software v 7.0 (MIM Software Inc., Cleveland, Ohio, USA) with annotation of the maximum standardized uptake value (SUVmax) in the primary tumour, in all hilar and mediastinal lymph node stations that were pathologically evaluated and in each metastatic organ (distant lymph nodes, liver, bone, etc.). In patients with multiple metastatic lesions in one organ, the SUVmax of the most [68Ga]Ga-DOTA-SSA- or [18F]FDG-avid lesion was noted.

Pathological evaluation

Systematic nodal dissection with histopathologic evaluation is part of the standard protocol during resections for PC in our centre, in line with the European Society of Thoracic Surgeons (ESTS) guidelines [35]. In agreement with the WHO criteria, the pathological specimens had been evaluated and classified as TC, AC or LCNEC based on the mitotic rate and the presence or absence of necrosis [6]. If resection or biopsy occurred in an external institution, we requested the reports and the classification as TC, AC or LCNEC was recorded. As only a single patient with LCNEC had the primary tumour in situ at the time of imaging, the tumoural SUVmax analysis was restricted to pathology-proven TC/AC tumours. Resected lymph nodes were labelled according to the “International Association for the Study of Lung Cancer (IASLC)” lymph node map [36]. The pathological evaluation of lymph nodes in each resected and examined mediastinal and/or hilar station, was noted for each resected station from the reports (N + /N-). For these lymph node stations, SUVmax values were calculated on the preoperative SSTR PET/CT, using the CT boundaries of the IASLC map.

Statistical analysis

Frequencies and percentages were used to analyse qualitative variables, whereas medians were reported to descriptively analyse the quantitative variables. The Mann–Whitney test was used to test differences in tumoural SUVmax values between TCs and ACs for both SSTR and [18F]FDG PET/CT. A scatter plot was made to illustrate the association between paired tumoural SUVmax values (TC/AC) on [18F]FDG and SSTR PET/CT. The association of a metric and a dichotomous variable was analysed using receiver operating characteristics (ROC) curves, both for the detection of lymph node metastases as for the detection of TC on SSTR PET/CT and of AC on [18F]FDG PET/CT. The optimal cut-off SUVmax value to differentiate between AC and TC was defined by the maximal Youden’s index (sensitivity + specificity − 1) on the ROC curves of non-paired SUVmax values for the detection of TC on SSTR PET/CT and of AC on [18F]FDG PET/CT. To calculate sensitivity and specificity for N + disease from TC on SSTR PET/CT, an SUVmax cut-off value was determined based on the maximal Youden’s index on the ROC analysis of the non-paired SSTR PET/CT SUVmax values in the hilar and mediastinal nodes in patients with TC. To compare SUVmax values in metastatic lesions on SSTR PET/CT and on [18F]FDG PET/CT, a linear mixed model was used for data analysis, including a random intercept to account for clustering by paired data. The analysis was performed on a log-transformed outcome variable. All tests were performed as two-sided tests, and p values of less than 0.05 were considered significant. The analyses were carried out through IBM SPSS Statistics (version 27) and SAS software (version 9.4 of the SAS System for Windows).

Literature search

A literature search was performed using The National Center for Biotechnology Information PubMed online database. The following key words were used for selection of studies: “pulmonary carcinoid” or “bronchial carcinoid” AND “DOTA PET”. The references from retrieved papers were also searched for suitable publications. Ten publications were deemed suitable based on the following inclusion criteria: original research, SSTR PET/CT performed for pathologically proven PC and number of patients five or more.

Results

A total of 87 patients were withheld from the databases. One patient was excluded because of the diagnosis of a primary pulmonary paraganglioma on final pathological evaluation, yielding a total of 86 patients with pulmonary NETs. Patient and tumour characteristics are listed in Table 1. Nearly two-thirds of the patients were female (55/86; 64%), and the median age of the patient population was 60 years (range 15–84).

Table 1 Patient and tumour characteristics
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Sixty-two patients (72%) underwent the [68Ga]Ga-SSTR PET/CT during primary staging of the PC, 2 patients (2%) during screening for NETs in the context of adrenocorticotropic hormone (ACTH) overproduction, 3 patients (4%) in the context of increased serum chromogranin levels after resection of a PC in the past, and 19 patients (22%) during follow-up for metastatic disease. The most frequent location of the primary tumour was the lower lobe of the right lung. Forty-nine of the 62 patients in the staging group (79%) and each of the 2 patients in the ACTH screening group underwent surgical resection of the primary tumour, yielding the diagnosis of TC in 43 patients, of AC in 7 patients and of LCNEC in 1 patient. Of the patients that underwent the SSTR PET/CT after resection of a PC in the past (N = 16), 8 had a primary TC, 6 a primary AC and 2 a carcinoid not otherwise specified (NOS). Taken together, resection specimens revealed 51 TCs, 13 ACs, 1 LCNEC and 2 carcinoids NOS in total. In 19 patients, no resection of the primary tumour occurred but pathology of the tumour and/or metastatic lesions was available through biopsy and was suggestive for TC in 11 patients, for AC in 6 patients and for LCNEC in 2 other patients.

The primary tumour was in situ when performing the SSTR PET/CT in 70 of the 86 patients. However, 6 more patients were excluded for the SUVmax analysis in the primary tumour because of the absence of pathologic sampling of the tumour (n = 4), because of the inability to delineate the primary tumour (n = 1) or because of the pathological diagnosis of a LCNEC in a tumour with low tracer uptake (n = 1), yielding 64 primary tumours (52 TC and 12 AC tumours) available for pathology-based SUVmax analysis (see the Consolidated Standards of Reporting Trials (CONSORT) diagram in Additional file 1: Fig. S1). The median SUVmax value of all pathologically proven TC tumours was 18.4 (range 0.9–110.2) on SSTR PET/CT and 3.5 (range 1.1–8.8) on [18F]FDG PET/CT (Fig. 1). For AC tumours, the median SUVmax value was 3.8 (range 1.0–25.7) on SSTR PET/CT and 5.4 (range 2.5–10.1) on [18F]FDG PET/CT. The difference in tumoural SUVmax between TC and AC was statistically significant for SSTR PET/CT (p = 0.003) as well as for [18F]FDG PET/CT (p = 0.038). ROC curves were generated for non-paired values of tumoural SUVmax, resulting in an AUC of 0.78 for the detection of TC on SSTR PET/CT and an AUC of 0.73 for the detection of AC on [18F]FDG PET/CT (Additional file 1: Fig. S2). These ROC curves were used to calculate the maximal Youden’s index, occurring at a cut-off point of SUVmax 5.1 for TC on SSTR PET/CT and at a cut-off point of SUVmax 4.5 for AC on [18F]FDG PET/CT. Division of the scatter plot distribution of paired tumoural SUVmax values in quadrants based on these cut-off values shows that the majority of TC tumours are seen in the upper left quadrant, which represents low [18F]FDG and high SSTR ligand uptake, with 18 out of 19 tumours (95%) in this quadrant being TC. No TC tumours were found in the lower right quadrant, which represents high [18F]FDG and low SSTR ligand uptake, with all 3 out of 3 tumours (100%) in this quadrant being AC (Fig. 2). The probability to find an AC in the right upper quadrant and the left lower quadrant was 2/8 (25%) and 2/6 (33.3%), respectively, in line with the pretest probability for a tumour being AC (19/86; 22.1%, Table 1).

Fig. 1
figure 1

Box plots of the distribution of SUVmax values in function of tracer and tumour type, yielding a median SUVmax on SSTR PET/CT of 18.4 and 3.8 for 52 typical bronchial carcinoid tumours and 12 atypical bronchial carcinoid tumours, respectively, and a median SUVmax on [18F]FDG PET/CT of 3.5 and 5.4 for 28 typical bronchial carcinoid tumours and 9 atypical bronchial carcinoid tumours, respectively

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Fig. 2
figure 2

Scatter plot of the paired SUVmax values on SSTR PET/CT and [18F]FDG PET/CT scans for typical (TC) and atypical (AC) bronchial carcinoid tumours (n = 36), with dashed reference lines on the cut-off SUVmax values (5.1 for SSTR PET/CT and 4.5 for [18F]FDG PET/CT) based on the maximal Youden’s index derived from the ROC curves of the non-paired SUVmax values on SSTR and [18F]FDG PET/CT scans for TC and AC, respectively (see Additional file figures)

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Of all the patients that underwent a resection of the primary tumour with concurrent hilar and mediastinal lymph node dissection (N = 63)—both after and prior to the SSTR PET/CT—the diagnosis of N0-disease was made in 47 patients (75%), of N1-disease in 4 patients (6.3%), of N2-disease in 9 patients (14%) and of N3-disease in 3 patients (4.8%). Pathology of hilar and/or mediastinal lymph node stations was available and could be correlated with SUVmax values on SSTR PET/CT in all 51 patients that underwent a resection of the tumour after the SSTR PET/CT. [18F]FDG PET/CT and thus paired SSTR ligand/[18F]FDG SUVmax values in the nodes were available in 29 of these 51 patients (57%). In 4 of the patients of whom the primary tumour detected on SSTR PET was not resected, hilar and/or mediastinal lymph node stations were pathologically examined through mediastinoscopy (N = 3) or endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA, N = 1). In 2 of these 4 patients, paired SSTR ligand/[18F]FDG SUVmax values could be obtained (CONSORT in Additional file 1: Fig. S3). In one other patient, although the SSTR PET/CT scan was performed after resection of the primary tumour, an [18F]FDG PET/CT was carried out prior to this resection, with recording of [18F]FDG SUVmax values in the lymph node stations that were pathologically evaluated through this resection. Taken together, a comparison of 267 hilar and/or mediastinal lymph node stations in these 56 patients was retrospectively conducted between pathological analysis (TC/AC; N +/N−) and preoperative imaging data (SSTR ± [18F]FDG PET/CT). Paired SUVmax values on both [18F]FDG and SSTR PET were noted in 103 (83 TC and 20 AC) of these 267 lymph node stations, resulting in an AUC for the detection of metastatic hilar/mediastinal lymph nodes in TC of 0.91 for SSTR PET/CT and of 0.74 for [18F]FDG PET/CT, with a difference of 0.17 (95% confidence interval (CI) -0.03 to 0.38; p = 0.10) (Fig. 3). ROC curves of non-paired SUVmax values in the 267 hilar and mediastinal lymph node stations of TC and AC were generated for both SSTR PET/CT and [18F]FDG PET/CT (Additional file 1: Fig. S4), showing an AUC of 0.82 for the detection of lymph node metastasis of TC on SSTR PET/CT and an AUC of 0.93 for the detection of lymph node metastasis of AC on [18F]FDG PET/CT. Based on the ROC analysis of the non-paired SUVmax values in the 167 nodes of TC on SSTR PET/CT, we derived a maximal Youden’s index at SUVmax 2.1 using resection specimens as well as biopsies for pathological evaluation, resulting in a sensitivity and specificity for regional lymph node involvement of TC on SSTR PET/CT of 80% and 75%, respectively (Table 2). Interestingly, all pathologically examined regional lymph node stations with an SUVmax of 4.0 or more on SSTR PET/CT turned out to be metastatic, yielding a true positive rate of 100% at this SUVmax cut-off value.

Fig. 3
figure 3

ROC curve analysis of paired SUVmax values of hilar/mediastinal lymph node stations of typical bronchial carcinoid tumours (TC) on SSTR PET/CT (blue curve) and [18F]FDG PET/CT (green curve), yielding an area under the curve (AUC) of 0.91 and 0.74, respectively. The difference between the AUC values for SSTR and [18F]FDG was 0.17 (p = 0.10)

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Fig. 4
figure 4

21-year-old patient with a typical bronchial carcinoid (TC) who underwent a [68Ga]Ga-DOTATOC PET/CT scan showing two foci of intense tracer uptake on the MIP image (A) corresponding to the primary hilar tumour (red arrow, B) and to an infracarinal nodal metastasis (blue arrow, C), as well as an [18F]FDG PET/CT scan showing only a limited tracer uptake in the tumour (red arrow, visible on the MIP image (A) and an axial fusion image (E)) and no increased tracer uptake in the infracarinal nodal metastasis (blue arrow, F). The SUVmax values on [68Ga]Ga-DOTATOC PET/CT were 110 and 9.2 in the tumour and in the infracarinal lymph node, respectively, whereas those on [18F]FDG PET/CT were 4.7 and 2.3 in the tumour and the infracarinal lymph node, respectively

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Table 2 2 × 2 contingency table for the evaluation of nodal disease of TC on SSTR PET/CT using an SUVmax cut-off value of 2.1
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Twelve lesions suspicious for distant metastatic disease seen on SSTR PET/CT in 10 patients were biopsied (CONSORT in Additional file 1: Fig. S5) with pathological confirmation of metastatic disease in all of these lesions, yielding a positive predictive value (PPV) of 100% in this small sub-cohort of patients with pathological validation (Table 3). The median SUVmax value of metastases was 12.7 on SSTR PET and 2.6 on [18F]FDG PET. Analysis based on a linear mixed model for paired as well as non-paired SUVmax values showed significantly higher SUVmax values on SSTR PET in comparison with [18F]FDG PET (p = 0.006), regardless of the tumoural entity (TC versus AC).

Fig. 5
figure 5

MIP image of an [18F]FDG PET/CT scan (A) and a [68Ga]Ga-DOTATATE PET/CT scan (D) performed during staging of a typical bronchial carcinoid tumour (TC) of a 62-year-old patient with a clear discrepancy between an intense [68Ga]Ga-DOTATATE uptake (E) and no increased [18F]FDG uptake (B) in the primary tumour (red arrow) as well as in a subcarinal lymph node metastasis (blue arrow). The axial fusion images with CT in bone window of the [18F]FDG PET/CT (C) and the [68Ga]Ga-DOTATATE PET/CT (F) also show this discrepancy with regard to the bone metastases. The bone metastasis in the left hemisacrum (yellow circle) has a SUVmax on [68Ga]Ga-DOTATATE PET/CT of 39.6. A chest CT 53 days before the [68Ga]Ga-DOTATATE PET/CT did not show any bone metastasis

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Table 3 All lesions suspicious for metastases on SSTR PET/CT that were pathologically examined were confirmed as metastases of bronchial NETs
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Discussion

In this second largest series since the introduction of SSTR PET/CT (Table 4), we retrospectively evaluated clinical, pathological and imaging data of 86 patients diagnosed with pulmonary NETs. There was a predominance of TC over AC (and LCNEC) and of female over male patients, consistent with epidemiologic data in the literature concerning these tumour types [5, 37, 38]. Interestingly, in 2 of the 51 patients that underwent surgical resection after the SSTR PET/CT, the diagnosis of PC was made during screening in the context of increased ACTH secretion, consistent with the recent literature evaluating the role of SSTR PET/CT in the detection of ectopic ACTH-secreting tumours [39, 40].

Table 4 Literature overview of [68Ga]Ga-peptide PET/CT in pulmonary carcinoid tumours (PCs) (case reports excluded)
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While the European guidelines from the European Society for Medical Oncology (ESMO) and the European Neuroendocrine Tumor Society (ENETS) recommend performing SSTR PET/CT in addition to contrast-enhanced CT in the TNM staging of PC, recent Commonwealth and North American guidelines also endorse SSTR PET/CT in the detection of metastatic disease, but suggest only a limited clinical utility of SSTR PET in detecting metastases in patients with a small primary PC [1, 2, 4]. These guidelines are based on a few small to medium-sized studies that evaluated the role of SSTR PET/CT in the staging of PC, as seen in our literature review in Table 4. In 2009, Kumar et al., Ambrosini et al. and Kayani et al. were the first to describe the additional value of SSTR PET/CT in lung NET, changing the clinical management of patients with PC [23, 41,42,43]. Together with additional series from 2011 until 2020, all authors observed a high SSTR and low [18F]FDG uptake in TC and vice versa for AC, known as the “flip-flop phenomenon” due to the presence of specific molecular markers in the more benign tumours and loss of neuroendocrine markers with increased glycolytic phenotype in the more aggressive tumours [31]. This highlights the value of dual tracer PET/CT in the preoperative assessment of tumour biology [10, 44,45,46,47]. Our study confirms these findings by demonstrating a significant difference in tumoural SUVmax values between TC and AC on SSTR as well as on [18F]FDG PET/CT, underscoring the role of SSTR PET in low grade PC and of [18F]FDG PET/CT in intermediate grade PC (Fig. 1). For this pathology-based analysis, we relied mostly (54/64; 84%) on resection specimens, in accordance with recent guidelines for diagnosis and management of patients with lung neuroendocrine tumours [2]. Our median SUVmax values in the tumoural lesion are in line with the values reported in the studies listed in Table 4. Based on the literature and our current findings, we suggest to use SSTR PET as first-line molecular imaging test for biopsy-proven TC, whereas for AC the choice between SSTR PET and [18F]FDG PET could be made based on tumour biology (e.g. if high Ki-67 index or mitotic count, start with [18F]FDG). In case of low tracer avidity, additional imaging with the other tracer can be considered.

Furthermore, this is—to the best of our knowledge—the first study in which SUVmax values in hilar and mediastinal lymph node stations on SSTR PET/CT were correlated with nodal involvement on pathologic evaluation. We found an AUC of 0.91 on the ROC curve for the detection of regional lymph node metastases from TC on SSTR PET/CT. Based on the maximal Youden’s index of this ROC analysis, an associated sensitivity and specificity of 80% and 75%, respectively, was found. However, a rather high rate of false-positive findings at the SUVmax cut-off of 2.1 should be kept in mind when interpreting lymph nodes on SSTR PET/CT, entailing the need to confirm lymph node metastases on SSTR PET/CT that would render the patient inoperable by biopsy. If an SUVmax cut-off value of 4.0 was applied, the true positive rate was 100%. Given the crucial role of complete resection of lymph node metastases as well as the tendency for surgeons to perform minimally invasive (sub)lobar tumour resections with more limited lymph node assessment, SSTR PET/CT could be seen as a noninvasive way to determine N status and to guide lymph node dissection in these tumour types [4, 32, 38, 48, 49]. In our series as well, 14/51 patients (27%) who underwent a surgical lymphadenectomy after a staging or screening (in the context of ACTH overproduction) SSTR PET/CT presented with pathologically proven N + stage (cfr example in Fig. 4). [18F]FDG PET/CT also provides a good diagnostic performance in the detection of regional lymph node metastasis in AC (AUC 0.93); however, these data should be interpreted with caution given the small cohort of 11 lymph nodes evaluated for this more uncommon tumour type. The European Society for Thoracic Surgery (ESTS) performed an electronic survey on the surgical management of PCs in 2012, with responses from 172 institutions worldwide. The responders agreed that, if the primary tumour is resectable and if nuclear imaging suggests N2M0 disease, surgery can be performed with no need for further preoperative invasive staging [1].

Finally, regarding detection of metastatic disease, the additional value of SSTR PET/CT is observed in many publications, especially for the detection of bone metastases. In a large series of postoperative surveillance in 337 patients with resected PC, routine CT scan of the chest and upper abdomen—the recommended imaging modalities during follow-up—failed to detect recurrences in 15 of the 20 patients (75%) with distant recurrence [25]. However, the literature on the quantitative evaluation of the added value of SSTR PET/CT is scarce with only two studies assessing this hypothesis. Prasad et al. and Purandare et al. were able to prove the contribution of SSTR PET/CT to the clinical management of patients with metastatic lesions of PC by precluding futile surgeries in 10 to 15% of patients, and by accurately detecting metastases during restaging (Table 4) [11, 50]. In our study, pathological examination of lesions suspicious for metastases during staging or follow-up SSTR PET/CT was obtained in 12 lesions of 10 patients and was positive for metastasis of PC in all lesions, yielding a positive predictive value (PPV) of 100% for SSTR PET/CT in this small sub-cohort of patients with pathologically evaluated lesions (Table 3). An illustration of a patient from our series with M0 disease on staging CT, but with the diagnosis of multifocal bone metastases on [68Ga]Ga-DOTATATE PET/CT, is shown in Fig. 5, changing the therapeutic approach from curative-intent surgery to non-curative systemic treatment. Although the bone metastases were not pathologically proven in this patient, the SUVmax of 39.6 in the most intense lesion was highly suggestive, and follow-up imaging confirmed the M1 stage.

One of the major limitations of this analysis is the retrospective nature and the potential selection bias due to the fact that patients who were referred for an SSTR PET/CT could have a higher probability for relapse during restaging or for metastatic disease during staging. Also the fact that the scans were performed at a single university reference centre may contribute to this selection bias. Furthermore, we used two different [68Ga]Ga-peptides and three different PET/CT cameras. Although the tracers have slightly different binding affinities to SSTR subtypes and the different PET/CT cameras improved in performance over the years, there seems to be no clinically relevant difference in the diagnostic accuracy. We included SSTR scans performed in the context of tumour screening, staging, restaging, and therapy evaluation, representing a heterogenous clinical setting. Given the inclusion of 19 patients during follow-up, a possible influence of previous therapies on the SUVmax values cannot be excluded. However, this heterogeneity also provides a cross-section of the indications to perform a SSTR PET/CT and resulted in a total cohort of 86 patients, representing the second largest series of SSTR PET/CT in patients with PC in the literature. This was necessary to obtain a sufficiently large number of lesions for the pathological correlation of regional lymph node involvement as well as for the pathological validation of hematogenous metastases. We acknowledge the possibility of discordance between the nodes examined by the pathologist and the localization of these nodes on the preoperative SSTR PET/CT. Finally, in the minority of cases where no resection specimen was available (10/64 (16%) SSTR PET/CTs for tumoural SUVmax analysis and 4/56 (7%) SSTR PET/CTs for nodal SUVmax analysis), pathological data from biopsies were also included, which could have led to a slight overdiagnosis of TC that would have been classified as AC after resection.

Conclusion

In this study, the performance of SSTR PET/CT in patients with pulmonary neuroendocrine (carcinoid) tumours was studied in a large series with pathology as gold standard. Our results confirm the important role of PET/CT in the assessment of the tumour biology, based on a significant higher SSTR ligand uptake and lower [18F]FDG uptake in TC compared to AC. Moreover, the assessment of the diagnostic performance of SUVmax values in pathologically evaluated hilar and mediastinal lymph node stations revealed a high diagnostic accuracy of SSTR PET/CT for regional lymph node metastases of TC. Finally, SSTR PET/CT has a PPV of 100% in patients with pathologically examined metastatic lesions, albeit in a small sub-cohort. Therefore, our data lend support to the current European guidelines (ESMO and ENETs) that recommend first-line conduct of SSTR PET/CT in the staging and restaging of pulmonary NETs.

Availability of data and materials

The data sets generated and/or analysed during the current study are not publicly available due patient confidentiality reasons but are available from the corresponding author on reasonable request and pending approval from the Ethics Committee of the University Hospitals of Leuven.

References

  1. Caplin ME, Baudin E, Ferolla P, Filosso P, Garcia-Yuste M, Lim E, et al. Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann Oncol. 2015;26:1604–20.

    Article  CAS  Google Scholar 

  2. Singh S, Bergsland EK, Card CM, Hope TA, Kunz PL, Laidley DT, et al. Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society Guidelines for the Diagnosis and Management of Patients With Lung Neuroendocrine Tumors: an International Collaborative Endorsement and Update of. J Thorac Oncol. 2020;15:1577–98. https://doi.org/10.1016/j.jtho.2020.06.021.

    Article  PubMed  Google Scholar 

  3. Hauso O, Gustafsson BI, Kidd M, Waldum HL, Drozdov I, Chan AKC, et al. Neuroendocrine tumor epidemiology: contrasting Norway and North America. Cancer. 2008;113:2655–64.

    Article  Google Scholar 

  4. Baudin E, Caplin M, Garcia-Carbonero R, Fazio N, Ferolla P, Filosso PL, et al. Lung and thymic carcinoids: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2021;32:439–51. https://doi.org/10.1016/j.annonc.2021.01.003.

    Article  CAS  PubMed  Google Scholar 

  5. Dasari A, Shen C, Halperin D, Zhao B, Zhou S, Xu Y, et al. Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol. 2017;3:1335–42.

    Article  Google Scholar 

  6. Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, et al. The 2015 World Health Organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol. 2015;10:1243–60. https://doi.org/10.1097/JTO.0000000000000630.

    Article  PubMed  Google Scholar 

  7. Lococo F, Cesario A, Paci M, Filice A, Versari A, Rapicetta C, et al. PET/CT assessment of neuroendocrine tumors of the lung with special emphasis on bronchial carcinoids. Tumor Biol. 2014;35:8369–77.

    Article  CAS  Google Scholar 

  8. Detterbeck FC, Boffa DJ, Kim AW, Tanoue LT. The eighth edition lung cancer stage classification. Chest. 2017;151:193–203. https://doi.org/10.1016/j.chest.2016.10.010.

    Article  PubMed  Google Scholar 

  9. Benson REC, Rosado-de-Christenson ML, Martínez-Jiménez S, Kunin JR, Pettavel PP. Spectrum of pulmonary neuroendocrine proliferations and neoplasms. Radiographics. 2013;33:1631–49.

    Article  Google Scholar 

  10. Lococo F, Perotti G, Cardillo G, De Waure C, Filice A, Graziano P, et al. Multicenter comparison of 18F-FDG and 68Ga-DOTA-peptide PET/CT for pulmonary carcinoid. Clin Nucl Med. 2015;40:e183–9.

    Article  Google Scholar 

  11. Purandare NC, Puranik A, Agrawal A, Shah S, Kumar R, Jiwnani S, et al. Does 68Ga-DOTA-NOC-PET/CT impact staging and therapeutic decision making in pulmonary carcinoid tumors? Nucl Med Commun. 2020;1040–6.

  12. Papotti M, Croce S, Bellò M, Bongiovanni M, Allìa E, Schindler M, et al. Expression of somatostatin receptor types 2, 3 and 5 in biopsies and surgical specimens of human lung tumours: correlation with preoperative octreotide scintigraphy. Virchows Arch. 2001;439:787–97.

    Article  CAS  Google Scholar 

  13. Righi L, Volante M, Tavaglione V, Billè A, Daniele L, Angusti T, et al. Somatostatin receptor tissue distribution in lung neuroendocrine tumours: a clinicopathologic and immunohistochemical study of 218 “clinically aggressive” cases. Ann Oncol. 2009;21:548–55.

    Article  Google Scholar 

  14. Bakker WH, Krenning EP, Breeman WA, Koper JW, Kooij PP, Reubi JC, et al. Receptor scintigraphy with a radioiodinated somatostatin analogue: radiolabeling, purification, biologic activity, and in vivo application in animals. J Nucl Med. 1990;31:1501–9.

    CAS  PubMed  Google Scholar 

  15. Olsen JO, Pozderac RV, Hinkle G, Hill T, O’Dorisio TM, Schirmer WJ, et al. Somatostatin receptor imaging of neuroendocrine tumors with indium-111 pentetreotide (Octreoscan). Semin Nucl Med. 1995;25:251–61.

    Article  CAS  Google Scholar 

  16. Shi W, Johnston CF, Buchanan KD, Ferguson WR, Laird JD, Crothers JG, et al. Localization of neuroendocrine tumours with [111In]DTPA-octreotide scintigraphy (Octreoscan): a comparative study with CT and MR imaging. QJM Mon J Assoc Physicians. 1998;91:295–301.

    Article  CAS  Google Scholar 

  17. Deroose CM, Hindié E, Kebebew E, Goichot B, Pacak K, Taïeb D, et al. Molecular imaging of gastroenteropancreatic neuroendocrine tumors: current status and future directions. J Nucl Med. 2016;57:1949–56.

    Article  CAS  Google Scholar 

  18. Barrio M, Czernin J, Fanti S, Ambrosini V, Binse I, Du L, et al. The impact of somatostatin receptor-directed PET/CT on the management of patients with neuroendocrine tumor: a systematic review and meta-analysis. J Nucl Med. 2017;58:756–61.

    Article  Google Scholar 

  19. Tirosh A, Kebebew E. The utility of 68Ga-DOTATATE positron-emission tomography/computed tomography in the diagnosis, management, follow-up and prognosis of neuroendocrine tumors. Futur Oncol. 2018;14:111–22.

    Article  CAS  Google Scholar 

  20. Pauwels E, Cleeren F, Tshibangu T, Koole M, Serdons K, Dekervel J, et al. [18F]AlF-NOTA-octreotide PET imaging: biodistribution, dosimetry and first comparison with [68Ga]Ga-DOTATATE in neuroendocrine tumour patients. Eur J Nucl Med Mol Imaging. 2020;47:3033–46.

    Article  CAS  Google Scholar 

  21. Pauwels E, Cleeren F, Bormans G, Deroose CM. Somatostatin receptor PET ligands—the next generation for clinical practice. Am J Nucl Med Mol Imaging. 2018;8:311–31.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Albanus DR, Apitzsch J, Erdem Z, Erdem O, Verburg FA, Behrendt FF, et al. Clinical value of 68Ga-DOTATATE-PET/CT compared to stand-alone contrast enhanced CT for the detection of extra-hepatic metastases in patients with neuroendocrine tumours (NET). Eur J Radiol. 2015;84:1866–72. https://doi.org/10.1016/j.ejrad.2015.06.024.

    Article  CAS  PubMed  Google Scholar 

  23. Ambrosini V, Castellucci P, Rubello D, Nanni C, Musto A, Allegri V, et al. 68Ga-DOTA-NOC: a new PET tracer for evaluating patients with bronchial carcinoid. Nucl Med Commun. 2009;30:281–6.

    Article  Google Scholar 

  24. Putzer D, Gabriel M, Henninger B, Kendler D, Uprimny C, Dobrozemsky G, et al. Bone metastases in patients with neuroendocrine tumor: 68Ga- DOTA-Tyr3-octreotide PET in comparison to CT and bone scintigraphy. J Nucl Med. 2009;50:1214–21.

    Article  Google Scholar 

  25. Lou F, Sarkaria I, Pietanza C, Travis W, Roh MS, Sica G, et al. Recurrence of pulmonary carcinoid tumors after resection: Implications for postoperative surveillance. Ann Thorac Surg. 2013;96:1156–62. https://doi.org/10.1016/j.athoracsur.2013.05.047.

    Article  PubMed  Google Scholar 

  26. Öberg K, Hellman P, Ferolla P, Papotti M. Neuroendocrine bronchial and thymic tumors: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2012;23:vii120–3. https://doi.org/10.1093/annonc/mds267.

    Article  PubMed  Google Scholar 

  27. Pattenden HA, Leung M, Beddow E, Dusmet M, Nicholson AG, Shackcloth M, et al. Test performance of PET-CT for mediastinal lymph node staging of pulmonary carcinoid tumours. Thorax. 2015;70:379–81.

    Article  Google Scholar 

  28. Jiang Y, Hou G, Cheng W. The utility of 18 F-FDG and 68 Ga-DOTA-Peptide PET/CT in the evaluation of primary pulmonary carcinoid 1–7.

  29. Chan DL, Ulaner GA, Pattison D, Wyld D, Ladwa R, Kirchner J, et al. Dual PET imaging in bronchial neuroendocrine neoplasms: the NETPET score as a prognostic biomarker. J Nucl Med. 2021;62:1278–84.

    Article  CAS  Google Scholar 

  30. Prinzi N, Rossi RE, Proto C, Leuzzi G, Raimondi A, Torchio M, et al. Recent advances in the management of typical and atypical lung carcinoids. Clin Lung Cancer. 2021;22:161–9.

    Article  Google Scholar 

  31. Hofman MS, Hicks RJ. Changing paradigms with molecular imaging of neuroendocrine tumors. Discov Med. 2012;14:71–81.

    PubMed  Google Scholar 

  32. Brown LM, Cooke DT, Jett JR, David EA. Extent of resection and lymph node assessment for clinical stage T1aN0M0 typical carcinoid tumors. Ann Thorac Surg. 2018;105:207–13. https://doi.org/10.1016/j.athoracsur.2017.07.049.

    Article  PubMed  Google Scholar 

  33. Rea F, Rizzardi G, Zuin A, Marulli G, Nicotra S, Bulf R, et al. Outcome and surgical strategy in bronchial carcinoid tumors: single institution experience with 252 patients. Eur J Cardio-thoracic Surg. 2007;31:186–91.

    Article  Google Scholar 

  34. Van Binnebeek S, Vanbilloen B, Baete K, Terwinghe C, Koole M, Mottaghy FM, et al. Comparison of diagnostic accuracy of 111In-pentetreotide SPECT and 68Ga-DOTATOC PET/CT: a lesion-by-lesion analysis in patients with metastatic neuroendocrine tumours. Eur Radiol. 2016;26:900–9.

    Article  Google Scholar 

  35. Lardinois D, De Leyn P, Van Schil P, Porta RR, Waller D, Passlick B, et al. ESTS guidelines for intraoperative lymph node staging in non-small cell lung cancer. Eur J Cardio-thoracic Surg. 2006;30:787–92.

    Article  Google Scholar 

  36. Rusch VW, Asamura H, Watanabe H, Giroux DJ, Rami-Porta R, Godstraw P. The IASLC lung cancer staging project : A proposal for a new international lymph node map in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol. 2009;4:568–77. https://doi.org/10.1097/JTO.0b013e3181a0d82e.

    Article  PubMed  Google Scholar 

  37. García-Yuste M, Matilla JM, Cueto A, Paniagua JMR, Ramos G, Cañizares MA, et al. Typical and atypical carcinoid tumours: analysis of the experience of the Spanish Multi-centric Study of Neuroendocrine Tumours of the Lung. Eur J Cardio-thoracic Surg. 2007;31:192–7.

    Article  Google Scholar 

  38. Filosso PL, Guerrera F, Evangelista A, Welter S, Thomas P, Casado PM, et al. Prognostic model of survival for typical bronchial carcinoid tumours: analysis of 1109 patients on behalf of the European Association of Thoracic Surgeons (ESTS) Neuroendocrine Tumours Working Group. Eur J Cardio-thoracic Surg. 2015;48:441–7.

    Article  Google Scholar 

  39. Senanayake R, Gillett D, MacFarlane J, Van de Meulen M, Powlson A, Koulouri O, et al. New types of localization methods for adrenocorticotropic hormone-dependent Cushing’s syndrome. Best Pract Res Clin Endocrinol Metab. 2021;35:101513. https://doi.org/10.1016/j.beem.2021.101513.

    Article  CAS  PubMed  Google Scholar 

  40. Grigoryan S, Avram AM, Turcu AF, Lasing E, Arbor A, Arbor A. Functional imaging in ectopic cushing syndrome. Curr Opin Endocrinol Diabetes Obes. 2020;27:146–54.

    Article  Google Scholar 

  41. Kayani I, Conry BG, Groves AM, Win T, Dickson J, Caplin M, et al. A comparison of 68Ga-DOTATATE and 18F-FDG PET/CT in pulmonary neuroendocrine tumors. J Nucl Med. 2009;50:1927–32.

    Article  Google Scholar 

  42. Kayani I, Bomanji JB, Groves A, Conway G, Gacinovic S, Win T, et al. Functional imaging of neuroendocrine tumors with combined PET/CT using 68Ga-DOTATATE (Dota-DPhe1, Tyr3-octreotate) and 18F-FDG. Cancer. 2008;112:2447–55.

    Article  Google Scholar 

  43. Kumar A, Jindal T, Dutta R, Kumar R. Functional imaging in differentiating bronchial masses: an initial experience with a combination of 18F-FDG PET-CT scan and 68Ga DOTA-TOC PET-CT scan. Ann Nucl Med. 2009;23:745–51.

    Article  Google Scholar 

  44. Jindal T, Kumar A, Venkitaraman B, Meena M, Kumar R, Malhotra A, et al. Evaluation of the role of [18F]FDG-PET/CT and [68Ga]DOTATOC-PET/CT in differentiating typical and atypical pulmonary carcinoids. Cancer Imaging. 2011;11:70–5.

    PubMed  PubMed Central  Google Scholar 

  45. Venkitaraman B, Karunanithi S, Kumar A, Khilnani GC, Kumar R. Role of 68Ga-DOTATOC PET/CT in initial evaluation of patients with suspected bronchopulmonary carcinoid. Eur J Nucl Med Mol Imaging. 2014;41:856–64.

    Article  CAS  Google Scholar 

  46. Lococo F, Rapicetta C, Mengoli MC, Filice A, Paci M, Di Stefano T, et al. Diagnostic performances of 68Ga-DOTATOC versus 18Fluorodeoxyglucose positron emission tomography in pulmonary carcinoid tumours and interrelationship with histological features. Interact Cardiovasc Thorac Surg. 2019;28:957–60.

    Article  Google Scholar 

  47. Komek H, Can C, Urakçi Z, Kepenek F. Comparison of (18F)FDG PET/CT and (68Ga)DOTATATE PET/CT imaging methods in terms of detection of histological subtype and related SUVmax values in patients with pulmonary carcinoid tumors. Nucl Med Commun. 2019;40:517–24.

    Article  Google Scholar 

  48. Cusumano G, Fournel L, Strano S, Damotte D, Charpentier MC, Galia A, et al. Surgical resection for pulmonary carcinoid: long-term results of multicentric study—the importance of pathological N status, more than we thought. Lung. 2017;195:789–98.

    Article  Google Scholar 

  49. Daddi N, Schiavon M, Filosso PL, Cardillo G, Ambrogi MC, De Palma A, et al. Prognostic factors in a multicentre study of 247 atypical pulmonary carcinoids. Eur J Cardio-thoracic Surg. 2014;45:677–86.

    Article  Google Scholar 

  50. Prasad V, Steffen IG, Pavel M, Denecke T, Tischer E, Apostolopoulou K, et al. Somatostatin receptor PET/CT in restaging of typical and atypical lung carcinoids. EJNMMI Res. 2015. https://doi.org/10.1186/s13550-015-0130-2.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors explicitly want to thank the PET radiopharmacy team for their skilled contributions.

Funding

CMD is a Senior Clinical Investigator from the Research Foundation Flanders (FWO). This body contributed to the salary of CMD. It played no active role in the design of the study, nor the collection, analysis and interpretation of the data.

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Authors and Affiliations

  1. Nuclear Medicine, University Hospitals Leuven, Herestraat 49, 3000, Louvain, Belgium

    Anne-Leen Deleu, Sander Jentjens, Karolien Goffin, Koen Van Laere & Christophe M. Deroose

  2. Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Louvain, Belgium

    Annouschka Laenen

  3. Thoracic Surgery, University Hospitals Leuven, Louvain, Belgium

    Herbert Decaluwé & Paul De Leyn

  4. Pathology, University Hospitals Leuven, Louvain, Belgium

    Birgit Weynand

  5. Department of Respiratory Diseases and Respiratory Oncology Unit, University Hospitals Leuven, Louvain, Belgium

    Christophe Dooms, Johan Vansteenkiste & Kristiaan Nackaerts

  6. Radiology, University Hospitals Leuven, Louvain, Belgium

    Walter De Wever

  7. Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology KU Leuven, Louvain, Belgium

    Karolien Goffin, Koen Van Laere & Christophe M. Deroose

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Contributions

ALD and CMD designed the study. ALD collected the data. HD, BW, CD, WDW, SJ, KG, JV, KVL, PDL and KN contributed to patients, scans and pathology. ALD, AL and CMD performed data analysis and statistical analysis. ALD and CMD helped in writing draft manuscript. All authors read and approved the final manuscript.

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Correspondence to Christophe M. Deroose.

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This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of the University Hospitals of Leuven (number MP015178). As this was a retrospective study, the need for an informed consent was waived.

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CMD has worked as a consultant for Terumo, SIRTex and PSI CRO and as speaker for IPSEN; all funds were received by his institution. The other authors declare that they have no competing interests.

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Deleu, AL., Laenen, A., Decaluwé, H. et al. Value of [68Ga]Ga-somatostatin receptor PET/CT in the grading of pulmonary neuroendocrine (carcinoid) tumours and the detection of disseminated disease: single-centre pathology-based analysis and review of the literature. EJNMMI Res 12, 28 (2022). https://doi.org/10.1186/s13550-022-00900-3

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Keywords

  • Neuroendocrine tumour
  • Pulmonary carcinoid
  • Bronchial carcinoid
  • Typical carcinoid
  • Atypical carcinoid
  • PET
  • Somatostatin receptor
  • [68Ga]Ga-DOTATATE
  • [68Ga]Ga-DOTATOC
  • [18F]FDG