| Literature DB >> 35205805 |
Valentina Ambrosini1,2, Lucia Zanoni2, Angelina Filice3, Giuseppe Lamberti1,4, Giulia Argalia1, Emilia Fortunati1, Davide Campana1,4, Annibale Versari3, Stefano Fanti1,2.
Abstract
Neuroendocrine neoplasms (NENs) are rare and heterogeneous tumors that require multidisciplinary discussion for optimal care. The theranostic approach (DOTA peptides labelled with 68Ga for diagnosis and with 90Y or 177Lu for therapy) plays a crucial role in the management of NENs to assess disease extension and as a criteria for peptide receptor radionuclide therapy (PRRT) eligibility based on somatostatin receptor (SSTR) expression. On the diagnostic side, [68Ga]Ga-DOTA peptides PET/CT (SSTR PET/CT) is the gold standard for imaging well-differentiated SSTR-expressing neuroendocrine tumors (NETs). [18F]FDG PET/CT is useful in higher grade NENs (NET G2 with Ki-67 > 10% and NET G3; NEC) for more accurate disease characterization and prognostication. Promising emerging radiopharmaceuticals include somatostatin analogues labelled with 18F (to overcome the limits imposed by 68Ga), and SSTR antagonists (for both diagnosis and therapy). On the therapeutic side, the evidence gathered over the past two decades indicates that PRRT is to be considered as an effective and safe treatment option for SSTR-expressing NETs, and is currently included in the therapeutic algorithms of the main scientific societies. The positioning of PRRT in the treatment sequence, as well as treatment personalization (e.g., tailored dosimetry, re-treatment, selection criteria, and combination with other alternative treatment options), is warranted in order to improve its efficacy while reducing toxicity. Although very preliminary (being mostly hampered by lack of methodological standardization, especially regarding feature selection/extraction) and often including small patient cohorts, radiomic studies in NETs are also presented. To date, the implementation of radiomics in clinical practice is still unclear. The purpose of this review is to offer an overview of radiolabeled SSTR analogues for theranostic use in NENs.Entities:
Keywords: PRRT; [Ga]-DOTA peptides PET/TC; neuroendocrine; somatostatin
Year: 2022 PMID: 35205805 PMCID: PMC8870358 DOI: 10.3390/cancers14041055
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Diagnostic performance of meta-analysis data on 68Ga-DOTA peptides PET.
| NENs | References | Relevant Study Details | Per-Patient | Per-Lesion | Comments | Number of Included Studies | Number of Included Pts | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Pooled | Pooled | DR (%) or | DR or | |||||||
|
| Sing 2018 [ | Initial diagnosis | 91 (85–94) | 94 (86–98) | 22 | na | ||||
| Sing 2018 [ | Staging and restaging | 78.3 to 100 | 83 to 100 | |||||||
|
| Treglia, 2012 [ | All tracers | 93 (91–95) | 91 (82–97) | -AUC 0.96 | 16 | 567 | |||
| Geijer 2013 [ | All tracers | 93 (91–94) | 96 (95–98) | -AUC 0.98 (0.95–1.0) | 22 | 2105 | ||||
| Yang 2014 [ | TOC | 93 (89–96) | 85 (74–93) | -AUC 0.96 | 10 | 416 | ||||
| TATE | 96 (91–99) | 100 (82–100) | AUC 0.98 | |||||||
| Deppen, 2016 [ | TATE vs. octreotide and conventional imaging | 90.9 | 90.6 | TATE superiority | 42 | |||||
| Bauckneht 2020 [ | Primary pancreatic NET, all tracers | 79.6 (71–87) | 95 (75–100) | DR 81 (65–90) | DR 92 (80–97) | 18 | 1143 | |||
| Piccardo 2021 [ | Intestinal NET | 88 | na | Sens 82 | [18F-]F-DOPA superiority only per lesion (95%) but not per patient (83%) | 6 | 112 | |||
| Jiang 2019 [ | Pulmonary carcinoids (all tracers vs. [18F]FDG) | 90 (82.0–95.0) | Higher SSTR uptake in typical carcinoids than atypical ones; FDG overall sens 71 (66.0–76.0) | 14 | 352 | |||||
| Liu, Hell 2020 [ | All grades, all tracers | 92 (0.89–0.95) | 91 (0.83–0.95) | AUC 0.96 (0.94–0.98) | Sens 95 (0.86–0.98); spec93 (0.83–0.97); AUC 0.98 (0.96–0.99) | 30 | 3401 | |||
| G1 | 92 | |||||||||
| G2 | 90 | |||||||||
| G3 | 58 | |||||||||
| TOC | 95 | 91 | ||||||||
| TATE | 92 | 88 | ||||||||
| NOC | 87 | 90 | ||||||||
|
| Ma 2021 [ | All tracers | 82 | 55 | AUC 69; DR 61; | 10 | 484 | |||
| De Dosso 2019 [ | All tracers | DR 56 (48–63) | Most frequent sites of CUP: bowel and pancreas. | 12 | 383 | |||||
|
| Kan 2018 [ | All tracers vs. FDG | 95 (0.92–0.97) | 87 (0.63–0.96) | AUC 0.78 (0.74–0.81) | FDG: sens 85 and spec 55; AUC 0.88 (0.85–0.91) | 17 | 629 | ||
| with germline mutations | 97 | 79 | ||||||||
| Han 2019 [ | All tracers vs. DOPA, FDG, MIBG | DR 93 (91–95) | DR [18F]FDOPA PET 80 (69–88), [18F]FDGPET 74 (46–91), and [123/131I]MIBG scan 38 (20–59). SSTR DR superiority, particularly head and neck PGL. | 9 | 215 | |||||
|
| Treglia 2017 [ | All tracers | DR 63.5 (49–77) | SSTR PET DR 83% if calcitonin > 500 ng/L; [18F]FDOPA is recommended in this setting | 9 | |||||
Table legend: NEN: neuroendocrine neoplasia; NET: neuroendocrine tumor; GEP: gastroenteropancreatic; CUP: cancer of unknown primary site; PGL: paraganglioma; rMTC: recurrent medullary thyroid cancer; CI: confidence interval; DR: detection rate; sens: sensitivity; spec: specificity; SSTR: somatostatin receptor; ROC: receiver operating characteristics; AUC: area under the curve; na = not available.
Figure 1[68Ga]Ga-DOTA-NOC and [18F]FDG mip (a,b) and transaxially fused (c,d) PET/CT images of a patient with a pancreatic G2 NET (Ki-67 = 12%). High SSTR expression is observed in the primary pancreatic body lesion (a,c), while significant [18F]FDG uptake (b,d) is detected at the liver metastatic level (SSTR-negative). This case shows the potential of the double-tracer PET/CT approach in demonstrating NET de-differentiation.
PET/CT-derived radiomic features for the assessment of NENs.
| Author | Journal, Publication Date | Ref | Clinical Setting | Primary Site | Modality | Tracer | Number of Patients | Methods |
|---|---|---|---|---|---|---|---|---|
| Atkinson C | [ | Prognosis/PRRT | Multiple * | PET/CT | [68Ga]Ga-DOTA-TATE | 44 | TexRAD research software, Cambridge, UK | |
| Bevilacqua A | [ | Tumor grade prediction | pNET | PET/CT | [68Ga]Ga-DOTA-NOC | 58 | ImageJ + in-house-generated model | |
| Thuillier P | [ | Pathological classification | Lung NEN | PET/CT | [18F]FDG | 44 | LIFEx v.6.0 (IMIV/CEA, Orsay, France | |
| Liberini V | [ | Segmentation | Multiple $ | PET/CT | [68Ga]Ga-DOTATOC | 49 | LifeX v.4.81 (IMIV/CEA, Orsay, France | |
| Liberini V | [ | PRRT outcome | G3 NET | PET/CT | [68Ga]Ga-DOTATOC/[18F]FDG | 2 | LIFEx v.5.10 (IMIV/CEA, Orsay, France) | |
| Mapelli P | [ | Pre-operative risk assessment | pNEN | PET/CT | [68Ga]Ga-DOTATOC/[18F]FDG | 61 | Chang-Gung Image Texture Analysis software package | |
| Weber M | [ | Treatment-related changes | PET/MRI | [68Ga]Ga-DOTATOC | 18 | LIFEx v.6.0 (IMIV/CEA, Orsay, France |
Legend: * = carcinoid, pancreatic, thyroid, head and neck, catecholamine-secreting, and unknown primary NET; $ = GEP + lung + other; Ref = reference.