NCT05385718

Brief Summary

The Ezra Faster Scan study uses non-invasive magnetic resonance imaging (MRI) technology that can "visually" detect early and late-stage cancer, and other pathologies. MRIs use a magnetic field and radio waves to create a 3-dimensional (3D) image of an individual's body without using ionizing radiation. The purpose of this research is to decrease the amount of time required by an individual to complete an early cancer screening comprehensive magnetic resonance imaging (MRI) scan, such as the Ezra Full Body MRI imaging scan. If the time required to conduct a comprehensive scan is reduced, the cost of the scan may also decrease. By decreasing consumer costs and time, more individuals may be able to afford MRI-based early cancer screening technology. Participants in this study will undergo a minimum 30-minute MRI session. These sessions will be used to evaluate new MRI "instructions" that allow for a faster MRI scan time. The images will also be used to develop mathematical models or machine learning tools that allow images to be enhanced. By enhancing images using machine learning, they may be restored to a quality typically observed in MRI sessions with longer scan (acquisition) times. To read more about the study, potential participants may review the informed consent form located below in the References section. Potential participants may email research.fasterscan@ezra.com, or call 516.340.1221. See study Eligibility Criteria below.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
694

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2022

Typical duration for all trials

Geographic Reach
1 country

5 active sites

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

First Submitted

Initial submission to the registry

May 17, 2022

Completed
6 days until next milestone

First Posted

Study publicly available on registry

May 23, 2022

Completed
9 days until next milestone

Study Start

First participant enrolled

June 1, 2022

Completed
2.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 24, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

February 24, 2025

Completed
Last Updated

March 3, 2025

Status Verified

September 1, 2024

Enrollment Period

2.7 years

First QC Date

May 17, 2022

Last Update Submit

February 27, 2025

Conditions

Keywords

Magnetic Resonance ImagingEarly Cancer DetectionMachine Learning

Outcome Measures

Primary Outcomes (4)

  • Accelerated MRI Sequence Protocol Time (s)

    The MRI scan time (minutes, seconds) for MRI instructions or sequences to be completed and qualitative feedback from MRI technologists and radiologists on execution of instrument instructions.

    Approximately 30 minutes for each participant scan . Additional computational analysis of images throughout the study duration.

  • Statistical Analysis of MRI Images (Accelerated)

    Computed image signal-to-noise and contrast-to-noise ratios of machine learning-restored accelerated images relative to accelerated images.

    Approximately 30 minutes for each participant scan. Additional computational analysis of images throughout the study duration.

  • Statistical Analysis of MRI Images (Reference)

    Computed image signal-to-noise and contrast-to-noise ratios of machine learning-restored accelerated images relative to reference images.

    Approximately 30 minutes for each participant scan. Additional computational analysis of images throughout the study duration.

  • Statistical Analysis of MRI Images (Likert)

    Visual radiologist review of reference and machine learning restored images. Images are reviewed using a Likert scale, comparing a reference image to a machine learning restored image. The scale grades are a radiologist's objective opinion of whether a machine learning restored image is similar to a reference image. If the machine learning image is worse, the radiologist rates the image strongly disagree or -2, if the machine learning image is better than the reference image, the radiologist selects strongly agree or 2. The Likert scale extends from worse to improved in the following order; strongly disagree (worse) -2, disagree -1, neither agree or disagree (neutral) 0, agree 1, or strongly agree 2. The minimum value is -2 and the maximum value is 2. A higher score greater than 0 indicates a better image, a lower score less than 0 indicates a worse image or outcome.

    Approximately 10 minutes of a radiologist's time. Additional analysis of images throughout the study duration.

Study Arms (1)

Observational

The observational group may include those 18 years and older, with retrospective MRI data, or those whom prospective MRI images are collected as a participant. This study is decentralized, non-therapeutic and non-interventional.

Other: Magnetic Resonance Imaging

Interventions

Participants are required to undergo a non-invasive magnetic resonance imaging (MRI) scan approximately 30 minutes in length.

Also known as: MRI
Observational

Eligibility Criteria

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

Participants may be from the general public and located or able to travel to MRI facilities located in New York, New York; Queens, New York; Brooklyn, New York; Great Neck, New York; Irvine, California; Sunnyvale, California; Walnut Creek, California; San Francisco, California; Miami, Florida; Aventura, Florida. Participants may also be those who have accessed Ezra commercial MRI services in the past, or have scheduled commercial MRI services pending.

You may qualify if:

  • Ability to provide legal informed consent and 18 years of age or older
  • Resident of the contiguous United States and located within proximity of a designated research MRI facility
  • Ability to travel to designated research MRI facilities

You may not qualify if:

  • Unable to receive an MRI due to existing implanted medical devices that may be disrupted by magnetic field or metal components/fragments that may migrate due to magnetic fields (pacemaker or defibrillator, stimulators, or stimulator wires (pacing leads), non-removeable metal dentures/braces/wires, surgical clips, (drug) pumps. Note metallic dental crowns or fillings are permitted.
  • Those with orbital (eye socket) trauma caused by a metallic object
  • Those with metallic fragments within the eye (foundry workers)
  • Those with implanted cardiac pacemakers, implantable cardioverter defibrillators (ICDs), or diaphragmatic pacemakers, cardiac resynchronization therapy devices, implantable cardiovascular monitors, implantable loop recorders, neurostimulators
  • Those with intra-cranial vascular clips (aneurysm), or prosthetic heart valve
  • Those with shrapnel form a prior accident
  • Those with a LINX Reflux Management System to control gastro esophageal reflux disease (GERD)
  • Those with non-removable insulin pumps or other drug pumps
  • Those with cochlear implants
  • Those with breast (inflatable breast tissue implants) or other tissue expanders (cosmetic or other implant)
  • Those with tubal ligation clips or non-removable intrauterine device (IUD)
  • Those with Sensimed Triggerfish ocular monitoring systems (glaucoma)
  • Those receiving ambulatory care
  • Employee of Ezra Health of California, P.C., Ezra AI Incorporated or Ezra AI Canada Incorporated
  • Mental health disability, cognitive disability, neurological or other existing condition that may impact ability to provide informed consent
  • +9 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (5)

Various Locations

Beverly Hills, California, 90211, United States

Location

Various Locations

Chino Hills, California, 91709, United States

Location

Various Locations

Irvine, California, 92604, United States

Location

Various Locations

Los Gatos, California, 95032, United States

Location

Various Locations

New York, New York, 10075, United States

Location

MeSH Terms

Conditions

Neoplasms

Interventions

Magnetic Resonance Spectroscopy

Intervention Hierarchy (Ancestors)

Spectrum AnalysisChemistry Techniques, AnalyticalInvestigative Techniques

Study Officials

  • David Girard

    Ezra AI, Inc.

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 17, 2022

First Posted

May 23, 2022

Study Start

June 1, 2022

Primary Completion

February 24, 2025

Study Completion

February 24, 2025

Last Updated

March 3, 2025

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

Deidentified data may be shared for the purpose of research. Algorithms based on research may be commercialized or published.

Available IPD Datasets

Informed Consent Form Access

Locations