Literature DB >> 28154019

MIB-1 Index-Stratified Assessment of Dual-Tracer PET/CT with 68Ga-DOTATATE and 18F-FDG and Multimodality Anatomic Imaging in Metastatic Neuroendocrine Tumors of Unknown Primary in a PRRT Workup Setting.

Nikita Sampathirao1, Sandip Basu2.   

Abstract

Our aim was to comparatively assess dual-tracer PET/CT (68Ga-DOTATATE and 18F-FDG) and multimodality anatomic imaging in studying metastatic neuroendocrine tumors (NETs) of unknown primary (CUP-NETs) scheduled for peptide receptor radionuclide therapy for divergence of tracer uptake on dual-tracer PET/CT, detection of primary, and overall lesion detection vis-a-vis tumor proliferation index (MIB-1/Ki-67).
Methods: Fifty-one patients with CUP-NETs (25 men, 26 women; age, 22-74 y), histopathologically proven and thoroughly investigated with conventional imaging modalities (ultrasonography, CT/contrast-enhanced CT, MRI, and endoscopic ultrasound, wherever applicable), were retrospectively analyzed. Patients were primarily referred for deciding on feasibility of peptide receptor radionuclide therapy (except 2 patients), and all had undergone 68Ga-DOTATATE and 18F-FDG PET/CT as part of pretreatment workup. The sites of metastases included liver, lung/mediastinum, skeleton, abdominal nodes, and other soft-tissue sites. Patients were divided into 5 groups on the basis of MIB-1/Ki-67 index on a 5-point scale: group I (1%-5%) (n = 35), group II (6%-10%) (n = 8), group III (11%-15%) (n = 4), group IV (16%-20%) (n = 2), and group V (>20%) (n = 2). Semiquantitative analysis of tracer uptake was undertaken by SUVmax of metastatic lesions and the primary (when detected). The SUVmax values were studied over increasing MIB-1/Ki-67 index. The detection sensitivity of 68Ga-DOTATATE for primary and metastatic lesions was assessed and compared with other imaging modalities including 18F-FDG PET/CT.
Results: Unknown primary was detected on 68Ga-DOTATATE in 31 of 51 patients, resulting in sensitivity of 60.78% whereas overall lesion detection sensitivity was 96.87%. The overall lesion detection sensitivities (individual groupwise from group I to group V) were 97.75%, 87.5%, 100%, 100%, and 66.67%, respectively. As MIB-1/Ki-67 index increased, 68Ga-DOTATATE uptake decreased in metastatic and primary lesions (mean SUVmax, 43.5 and 22.68 g/dL in group I to 22.54 and 16.83 g/dL in group V, respectively), whereas 18F-FDG uptake showed a gradual rise (mean SUVmax, 3.66 and 2.86 g/dL in group I to 7.53 and 9.58 g/dL in group V, respectively). There was a corresponding decrease in the 68Ga-DOTATATE-to-18F-FDG uptake ratio with increasing MIB-1/Ki-67 index (from 11.89 in group I to 2.99 in group V).
Conclusion: In CUP-NETs, the pattern of uptake on dual-tracer PET (68Ga-DOTATATE and 18F-FDG) correlates well with tumor proliferation index with a few outliers; combined dual-tracer PET/CT with MIB-1/Ki-67 index would aid in better whole-body assessment of tumor biology in CUP-NETs.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-FDG PET/CT; 68Ga-DOTATATE PET/CT; metastatic NET of unknown primary (CUP-NET); neuroendocrine tumor

Mesh:

Substances:

Year:  2017        PMID: 28154019     DOI: 10.2967/jnmt.116.185777

Source DB:  PubMed          Journal:  J Nucl Med Technol        ISSN: 0091-4916


  5 in total

1.  Prognostic value of somatostatin receptor expressing tumor volume calculated from 68Ga-DOTATATE PET/CT in patients with well-differentiated neuroendocrine tumors.

Authors:  Akira Toriihara; Lucia Baratto; Tomomi Nobashi; Sonya Park; Negin Hatami; Guido Davidzon; Pamela L Kunz; Andrei Iagaru
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-27       Impact factor: 9.236

2.  Detection rate of unknown primary tumour by using somatostatin receptor PET/CT in patients with metastatic neuroendocrine tumours: a meta-analysis.

Authors:  Sara De Dosso; Giorgio Treglia; Mariarosa Pascale; Adriana Tamburello; Prasanna Santhanam; Alexander S Kroiss; Ricardo Pereira Mestre; Piercarlo Saletti; Luca Giovanella
Journal:  Endocrine       Date:  2019-04-19       Impact factor: 3.633

Review 3.  Classification of pulmonary neuroendocrine tumors: new insights.

Authors:  Giuseppe Pelosi; Angelica Sonzogni; Sergio Harari; Adriana Albini; Enrica Bresaola; Caterina Marchiò; Federica Massa; Luisella Righi; Gaia Gatti; Nikolaos Papanikolaou; Namrata Vijayvergia; Fiorella Calabrese; Mauro Papotti
Journal:  Transl Lung Cancer Res       Date:  2017-10

Review 4.  Management of neuroendocrine tumors of unknown primary.

Authors:  Krystallenia Alexandraki; Anna Angelousi; Georgios Boutzios; Georgios Kyriakopoulos; Dimitra Rontogianni; Gregory Kaltsas
Journal:  Rev Endocr Metab Disord       Date:  2017-12       Impact factor: 6.514

5.  Predictive Value of 99MTC-hynic-toc Scintigraphy in Lung Neuroendocrine Tumor Diagnosis.

Authors:  Efimia Boutsikou; Konstantinos Porpodis; Vasiliki Chatzipavlidou; Georgia Hardavella; George Gerasimou; Kalliopi Domvri; Nikitas Papadopoulos; Vasiliki Avramidou; Dionisis Spyratos; Theodoros Kontakiotis; Konstantinos Zarogoulidis
Journal:  Technol Cancer Res Treat       Date:  2019-01-01
  5 in total

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