Applying PET/MR in Neuroendocrine Tumors - Imaging Dynamic Processes in Both Modalities
NCT ID: NCT04152928
Last Updated: 2019-11-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
50 participants
INTERVENTIONAL
2020-02-25
2022-02-25
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The main goal of this study is to assess the feasibility of performing dynamic 68Ga-DOTATATE PET in the PET/MRI system and analyzing the effect of diffusion and perfusion over Ki values.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Developing a Method Using PET-MR to Improve Staging and Monitoring of Neuroendocrine Tumor
NCT04154241
Use of 68Ga-dotatate PET Scan in Neuroendocrine Carcinoma of the GI Tract
NCT04069299
68Ga-DOTATATE PET/CT in Neuroendocrine Tumor
NCT04041882
Ga68-DOTA-NOC-PET Imaging of Neuroendocrine Tumors
NCT00569738
Diagnosis and Staging of Neuroendocrine Tumors (NETs) Utilizing 68Ga-DOTATOC PET/CT Scan
NCT03136328
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
1. The PET/MR system will provide dynamic PET images of at least comparable quality compared to PET/CT. Dynamic PET/MR will be feasible, with the 45 minute dynamic PET acquisition occurring during the MR sequences, eliminating the need for the patient to undergo two separate lengthy studies.
2. Diffusion and perfusion parameters extracted from MRI sequences will provide information that improves the process of Ki evaluation.
3. The use of advanced statistics methodologies, such as those used in radiomics, to correlate Ki data with diffusion and perfusion data will provide a quantification tool that will improve staging, prediction and monitoring after treatment.
4. Parametric Patlak Ki images calculated from the dynamic series of PET images will show better contrast between tumors and normal tissue, as compared to contrast in the conventional static images obtained from the last time frame of the dynamic image series. Tumors identified on the static PET image will be visualized at least as well on Patlak Ki images, and possibly additional tumor foci may be identified. MRI should assist in confirming and interpreting such findings.
Research plan Population: 50 patients with NETs that have evidence of at least one abdominal lesion with diameter greater than 2cm. All patients will be aged 18 years or older of both sexes.
Inclusion criteria: Patients with confirmed NET. Exclusion criteria: Patients younger than 18 years; pregnancy; other known active malignancy; contraindication to MRI tests or intravenous contrast agents.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Neuroendocrine Tumors Patients
Patients with confirmed NET
PET/MR scan
The patient will be positioned in the PET/MR with the field of view of the PET including the abdomen, and IV administration of 68Ga-DOTATATE will take place, with initiation of dynamic PET simultaneous with start of IV injection. Dynamic PET imaging will consist of 22 time frames of increasing durations (6 x 10, 3 x 20, 3 x 60, 5 x 180, and 5 x 300 s). The dynamic PET examination will be followed by a whole-body PET/MR scan ranging from the proximal femur to the base of the skull (3 min per bed position) starting at 60 min after injection. MR will be used for attenuation correction of the PET images of the abdomen/pelvis and whole-body. MR protocol will include three plane fast spin echo T2 weighted, DWI, DCE and ASL. The addition of PET/MR to the standard use of PET/CT adds no radiation exposure.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
PET/MR scan
The patient will be positioned in the PET/MR with the field of view of the PET including the abdomen, and IV administration of 68Ga-DOTATATE will take place, with initiation of dynamic PET simultaneous with start of IV injection. Dynamic PET imaging will consist of 22 time frames of increasing durations (6 x 10, 3 x 20, 3 x 60, 5 x 180, and 5 x 300 s). The dynamic PET examination will be followed by a whole-body PET/MR scan ranging from the proximal femur to the base of the skull (3 min per bed position) starting at 60 min after injection. MR will be used for attenuation correction of the PET images of the abdomen/pelvis and whole-body. MR protocol will include three plane fast spin echo T2 weighted, DWI, DCE and ASL. The addition of PET/MR to the standard use of PET/CT adds no radiation exposure.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
2. Patients pregnancy.
3. Patients with other known active malignancy.
4. Patients contraindication to MRI tests or intravenous contrast agents.
18 Years
120 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Tel-Aviv Sourasky Medical Center
OTHER_GOV
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
TASMC-19-ES-0582-CTIL
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.