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.

Details

Title
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
Author
Anne-Leen, Deleu 1 ; Laenen Annouschka 2 ; Decaluwé Herbert 3 ; Weynand Birgit 4 ; Dooms Christophe 5 ; De Wever Walter 6 ; Sander, Jentjens 1 ; Goffin Karolien 7 ; Vansteenkiste Johan 5 ; Koen, Van Laere 7 ; De Leyn Paul 3 ; Nackaerts Kristiaan 5 ; Deroose, Christophe M 7   VIAFID ORCID Logo 

 University Hospitals Leuven, Nuclear Medicine, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338) 
 Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Louvain, Belgium (GRID:grid.410569.f) 
 University Hospitals Leuven, Thoracic Surgery, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338) 
 University Hospitals Leuven, Pathology, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338) 
 University Hospitals Leuven, Department of Respiratory Diseases and Respiratory Oncology Unit, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338) 
 University Hospitals Leuven, Radiology, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338) 
 University Hospitals Leuven, Nuclear Medicine, Louvain, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338); Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology KU Leuven, Louvain, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
e-ISSN
2191219X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2660493790
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.