Literature DB >> 24458014

Combination of cross-sectional and molecular imaging studies in the localization of gastroenteropancreatic neuroendocrine tumors.

Christos Toumpanakis1, Michelle K Kim, Anja Rinke, Deidi S Bergestuen, Christina Thirlwell, Mohid S Khan, Ramon Salazar, Kjell Oberg.   

Abstract

Molecular imaging modalities exploit aspects of neuroendocrine tumors (NET) pathophysiology for both diagnostic imaging and therapeutic purposes. The characteristic metabolic pathways of NET determine which tracers are useful for their visualization. In this review, we summarize the diagnostic value of all available molecular imaging studies, present data about their use in daily practice in NET centers globally, and finally make recommendations about the appropriate use of those modalities in specific clinical scenarios. Somatostatin receptor scintigraphy (SRS) continues to have a central role in the diagnostic workup of patients with NET, as it is also widely available. However, and despite the lack of prospective randomized studies, many NET experts predict that Gallium-68 ((68)Ga)-DOTA positron emission tomography (PET) techniques may replace SRS in the future, not only because of their technical advantages, but also because they are superior in patients with small-volume disease, in patients with skeletal metastases, and in those with occult primary tumors. Carbon-11 ((11)C)-5-hydroxy-L-tryptophan (5-HTP) PET and (18)F-dihydroxyphenylalanine ((18)F-DOPA) PET are new molecular imaging techniques of limited availability, and based on retrospective data, their sensitivities seem to be inferior to that of (68)Ga-DOTA PET. Glucagon-like-peptide-1 (GLP-1) receptor imaging seems promising for localization of the primary in benign insulinomas, but is currently available only in a few centers. Fluorine-18 ((18)F)-fluorodeoxyglucose ((18)F-FDG) PET was initially thought to be of limited value in NET, due to their usually slow-growing nature. However, according to subsequent data, (18)F-FDG PET is particularly helpful for visualizing the more aggressive NET, such as poorly differentiated neuroendocrine carcinomas, and well-differentiated tumors with Ki67 values >10%. According to limited data, (18)F-FDG-avid tumor lesions, even in slow-growing NET, may indicate a more aggressive disease course. When a secondary malignancy has already been established or is strongly suspected, combining molecular imaging techniques (e.g. (18)F-FDG PET and (68)Ga-DOTA PET) takes advantage of the diverse avidities of different tumor types to differentiate lesions of different origins. All the above-mentioned molecular imaging studies should always be reviewed and interpreted in a multidisciplinary (tumor board) meeting in combination with the conventional cross-sectional imaging, as the latter remains the imaging of choice for the evaluation of treatment response and disease follow-up.
© 2014 S. Karger AG, Basel

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Year:  2014        PMID: 24458014     DOI: 10.1159/000358727

Source DB:  PubMed          Journal:  Neuroendocrinology        ISSN: 0028-3835            Impact factor:   4.914


  15 in total

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2.  Well-Differentiated Neuroendocrine Tumors with a Morphologically Apparent High-Grade Component: A Pathway Distinct from Poorly Differentiated Neuroendocrine Carcinomas.

Authors:  Laura H Tang; Brian R Untch; Diane L Reidy; Eileen O'Reilly; Deepti Dhall; Lily Jih; Olca Basturk; Peter J Allen; David S Klimstra
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Review 3.  Molecular imaging in neuroendocrine tumors: recent advances, controversies, unresolved issues, and roles in management.

Authors:  Tetsuhide Ito; Robert T Jensen
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-02       Impact factor: 3.243

4.  Gene transcript analysis blood values correlate with ⁶⁸Ga-DOTA-somatostatin analog (SSA) PET/CT imaging in neuroendocrine tumors and can define disease status.

Authors:  L Bodei; M Kidd; I M Modlin; V Prasad; S Severi; V Ambrosini; D J Kwekkeboom; E P Krenning; R P Baum; G Paganelli; I Drozdov
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-05-07       Impact factor: 9.236

Review 5.  Imaging of pancreatic neuroendocrine tumors: recent advances, current status, and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
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Review 6.  Prognostic and predictive value of nuclear imaging in endocrine oncology.

Authors:  Giorgio Treglia; Bernard Goichot; Luca Giovanella; Elif Hindié; Abhishek Jha; Karel Pacak; David Taïeb; Thomas Walter; Alessio Imperiale
Journal:  Endocrine       Date:  2019-11-16       Impact factor: 3.633

7.  Imaging in multiple endocrine neoplasia type 1: recent studies show enhanced sensitivities but increased controversies.

Authors:  Tetsuhide Ito; Robert T Jensen
Journal:  Int J Endocr Oncol       Date:  2016-01-18

8.  Searching for primaries in patients with neuroendocrine tumors (NET) of unknown primary and clinically suspected NET: Evaluation of Ga-68 DOTATOC PET/CT and In-111 DTPA octreotide SPECT/CT.

Authors:  Nils Friedemann Schreiter; Ann-Mirja Bartels; Vera Froeling; Ingo Steffen; Ulrich-Frank Pape; Alexander Beck; Bernd Hamm; Winfried Brenner; Rainer Röttgen
Journal:  Radiol Oncol       Date:  2014-11-05       Impact factor: 2.991

Review 9.  Imaging approaches to assess the therapeutic response of gastroenteropancreatic neuroendocrine tumors (GEP-NETs): current perspectives and future trends of an exciting field in development.

Authors:  Rocio Garcia-Carbonero; Roberto Garcia-Figueiras; Alberto Carmona-Bayonas; Isabel Sevilla; Alex Teule; Maria Quindos; Enrique Grande; Jaume Capdevila; Javier Aller; Javier Arbizu; Paula Jimenez-Fonseca
Journal:  Cancer Metastasis Rev       Date:  2015-12       Impact factor: 9.264

10.  99mTc Labeled Glucagon-Like Peptide-1-Analogue (99mTc-GLP1) Scintigraphy in the Management of Patients with Occult Insulinoma.

Authors:  Anna Sowa-Staszczak; Małgorzata Trofimiuk-Müldner; Agnieszka Stefańska; Monika Tomaszuk; Monika Buziak-Bereza; Aleksandra Gilis-Januszewska; Agata Jabrocka-Hybel; Bogusław Głowa; Maciej Małecki; Tomasz Bednarczuk; Grzegorz Kamiński; Aldona Kowalska; Renata Mikołajczak; Barbara Janota; Alicja Hubalewska-Dydejczyk
Journal:  PLoS One       Date:  2016-08-15       Impact factor: 3.240

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