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Developing a Method Using PET-MR to Improve Staging and Monitoring of Neuroendocrine Tumor

T

Tel Aviv Sourasky Medical Center

Status

Unknown

Conditions

Neuroendocrine Tumors

Treatments

Diagnostic Test: PET/MR scan

Study type

Interventional

Funder types

Other

Identifiers

NCT04154241
TASMC-19-ES-0583-CTIL

Details and patient eligibility

About

euroendocrine tumors (NETs) are neoplasms that originate from diffuse neuroendocrine system which consist about 17 types of different neuroendocrine cells. These cells combine properties of nerve cells with properties of endocrine cells, that is they receive neuronal signal and produce hormones.The most common locations for NETs are the lungs and organs of the gastroenteropancreatic (GEP) system, however they can be found in any other organ in the body . Clinically, functional NET cells secrete hormones which cause symptoms such as diarrhea or flushing, however non-functional NET cells also exist posing a challenge in the identification and diagnosis of the disease . Besides surgery to remove the tumor, there are numerous of treatment options for systemic handling of the NETs. These treatments include: somatostatin analogues, interferon, chemotherapy, transarterial (chemo) embolisation, radiofrequency ablation, sunitinib, everolimus and radionuclide targeted therapy. The choice of treatment depends on the correct characterization of the NET, primary tumor location, tumor subtype, grade and stage of the disease . Biomarkers for NETs serve a critical role in the diagnosis stage, where it is highly important to identify the NET type and precise location. Furthermore, selecting the correct biomarkers for monitoring the disease is important to predict response for treatment and allow the choice of the right treatment from the large variety of treatment options. NET biomarkers include circulating biomarkers such as Chromogranin A, Ki67, Neuron Specific Enolase (NSE), 5 hydroxyindoleacetic acid (5HIAA) and many others found in blood samples, or in the tumor tissue . Beside the circulating biomarkers, imaging biomarkers plays a central role in diagnosis, staging, treatment selection and follow-up of NETs . Current imaging tools are morphological modalities such as CT, MRI and Ultrasound and molecular imaging. Several types of molecular imaging techniques are performed to characterize NETs: single photon emission computed tomography (SPECT) with 111In-pentetreotide, largely superseded now by positron emission tomography (PET) with 68Ga-labeled somatostatin analogs, is used to identify the somatostatin receptor status.

Full description

18F-DOPA and 11C-5-HTP are used to evaluate neuroendocrine metabolism . 18-fluoro-deoxy-glucose (FDG) PET is usually a poor indication for NETs since these neoplasms tend to be metabolic inactive, and thus FDG-PET is only used for high grade more aggressive NETs . Only a combination of several biomarkers together can lead to NET description that allows treatment selection and to some extent prediction of treatment success.

In this study the investigators wish to take advantage of the new hybrid PET-MR and use it to find new methods to characterize NETs. Only very few PET-MR studies have been performed with correlation to NETs and they showed the potential of this tool for tumor characterization .

The investigators plan to integrate PET-MR with big data analysis methods to obtain an improved tool for staging, characterization and monitoring NETs.

Enrollment

50 estimated patients

Sex

All

Ages

18 to 120 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

A cohort of patients that were diagnosed with NET using biopsy.

Exclusion criteria

  1. Age <18.
  2. Pregnant or breast feeding patients.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

50 participants in 1 patient group

neuroendocrine tumor Patients
Experimental group
Description:
A cohort of patients that were diagnosed with NET using biopsy.
Treatment:
Diagnostic Test: PET/MR scan

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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