NCT02180308

Brief Summary

The overarching goal of this study is to develop PET/MR techniques to accurately detect nodal metastases for surgical planning and assessment of treatment response.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
23

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jun 2014

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 1, 2014

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

July 1, 2014

Completed
1 day until next milestone

First Posted

Study publicly available on registry

July 2, 2014

Completed
3.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 11, 2017

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

September 11, 2018

Completed
Last Updated

April 16, 2019

Status Verified

April 1, 2019

Enrollment Period

3.3 years

First QC Date

July 1, 2014

Last Update Submit

April 12, 2019

Conditions

Keywords

Head cancerNeck cancerMRIPET

Outcome Measures

Primary Outcomes (1)

  • Accuracy of simultaneous FDG-PET/MRI for detection of nodal metastases

    This study is to assess PET/MR techniques for detection of nodal metastases for surgical planning and assessment of treatment response. Our central hypothesis is glucose metabolic rate (GMR) measured using a simultaneous PET/MR scanner can more accurately detect nodal metastases than standardized uptake value (SUV) measures from PET alone. SUV depends on both tumor metabolic rate and tracer delivery, which makes the interpretation of SUV challenging. For instance, an inflammatory node can have high SUV due to increased vascularity and vascular permeability and cannot be easily differentiated from a metastatic node, based on SUV. However, we hypothesize that inflammatory nodes will have lower GMR than metastatic nodes that contain highly proliferating cancer cells, such that they can be differentiated from metastatic nodes more reliably. This study will also determine if simultaneously acquired MRI can reduce uncertainty in GMR measurement of PET.

    2 years after beginning of study (July 2014 - June 2016)

Study Arms (1)

PET/MRI

Patient receives PET/MRI

Device: PET/MRI

Interventions

PET/MRIDEVICE

Simultaneous PET/MRI (3T system)

Also known as: Siemens Biograph mMR
PET/MRI

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with head and neck cancer who are scheduled for node dissection surgeries at NYU Langone Medical Center or Bellevue hospital.

You may qualify if:

  • Patients with head and neck cancer who are scheduled for node dissection surgeries at NYU Langone Medical Center or Bellevue hospital are eligible.

You may not qualify if:

  • Electrical implants such as cardiac pacemakers or perfusion pumps
  • Ferromagnetic implants such as aneurysm clips, surgical clips, prostheses, artificial heart, valves with steel parts, metal fragments, shrapnel, bullets, tattoos near the eye, or steel implants
  • Ferromagnetic objects such as jewelry or metal clips in clothing
  • Claustrophobia
  • History of seizures
  • Diabetes In addition, patients with GFR \< 15 ml/min/1.73m2 or who are on dialysis will be excluded from the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

NYU Langone Medical Center

New York, New York, 10016, United States

Location

MeSH Terms

Conditions

Head and Neck Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasms

Study Officials

  • Sungheon Kim, PhD

    NYU School of Medicine

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 1, 2014

First Posted

July 2, 2014

Study Start

June 1, 2014

Primary Completion

September 11, 2017

Study Completion

September 11, 2018

Last Updated

April 16, 2019

Record last verified: 2019-04

Locations