Literature DB >> 30980115

The role of multimodal imaging in guiding resectability and cytoreduction in pancreatic neuroendocrine tumors: focus on PET and MRI.

Laura Rozenblum1, Fatima-Zohra Mokrane2,3, Randy Yeh4, Mathieu Sinigaglia5, Florent Besson6, Romain-David Seban7, Cecile N Chougnet8, Paul Revel-Mouroz2, Binsheng Zhao3, Philippe Otal2, Lawrence H Schwartz3, Laurent Dercle9,10.   

Abstract

Pancreatic neuroendocrine tumors (pNETs) are rare neoplasms that secrete peptides and neuro-amines. pNETs can be sporadic or hereditary, syndromic or non-syndromic with different clinical presentations and prognoses. The role of medical imaging includes locating the tumor, assessing its extent, and evaluating the feasibility of curative surgery or cytoreduction. Pancreatic NETs have very distinctive phenotypes on CT, MRI, and PET. PET have been demonstrated to be very sensitive to detect either well-differentiated pNETs using 68Gallium somatostatin receptor (SSTR) radiotracers, or more aggressive undifferentiated pNETS using 18F-FDG. A comprehensive interpretation of multimodal imaging guides resectability and cytoreduction in pNETs. The imaging phenotype provides information on the differentiation and proliferation of pNETs, as well as the spatial and temporal heterogeneity of tumors with prognostic and therapeutic implications. This review provides a structured approach for standardized reading and reporting of medical imaging studies with a focus on PET and MR techniques. It explains which imaging approach should be used for different subtypes of pNET and what a radiologist should be looking for and reporting when interpreting these studies.

Entities:  

Keywords:  Neuroendocrine tumors; PET-CT; Somatostatin receptors; Theranostics

Mesh:

Year:  2019        PMID: 30980115     DOI: 10.1007/s00261-019-01994-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  4 in total

1.  Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence.

Authors:  Zhiyan Zheng; Ruixuan He; Cuijun Lin; Chunyu Huang
Journal:  Comput Intell Neurosci       Date:  2022-06-23

2.  A side-by-side evaluation of [18F]FDOPA enantiomers for non-invasive detection of neuroendocrine tumors by positron emission tomography.

Authors:  Athira Narayan; Yu Yan; Ala Lisok; Mary Brummet; Martin G Pomper; Wojciech G Lesniak; Robert F Dannals; Vanessa F Merino; Babak Behnam Azad
Journal:  Oncotarget       Date:  2019-10-08

Review 3.  Role of PET/CT and Therapy Management of Pancreatic Neuroendocrine Tumors.

Authors:  Diletta Calabrò; Giulia Argalia; Valentina Ambrosini
Journal:  Diagnostics (Basel)       Date:  2020-12-07

4.  Updated Trends in Imaging Practices for Pancreatic Neuroendocrine Tumors (PNETs): A Systematic Review and Meta-Analysis to Pave the Way for Standardization in the New Era of Big Data and Artificial Intelligence.

Authors:  Ephraïm Partouche; Randy Yeh; Thomas Eche; Laura Rozenblum; Nicolas Carrere; Rosine Guimbaud; Lawrence O Dierickx; Hervé Rousseau; Laurent Dercle; Fatima-Zohra Mokrane
Journal:  Front Oncol       Date:  2021-07-14       Impact factor: 6.244

  4 in total

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