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Developing a Discrimination Model to Diagnose ALS

Primary Purpose

Amyotrophic Lateral Sclerosis

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
MRI(magnetic resonance imaging)
Sponsored by
University of Michigan
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Amyotrophic Lateral Sclerosis

Eligibility Criteria

18 Years - 80 Years (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

  1. 18 years of age or older
  2. subjects with ALS (amyotrophic lateral sclerosis)
  3. healthy subjects -

Exclusion Criteria:

  1. Active substance abuse
  2. Has co-morbid psychiatric disease
  3. Has opportunistic CNS (central nervous system) infection
  4. Has a history of head injury
  5. Has a contraindication for MRI (e.g. cardiac pacemaker, ferromagnetic or metallic implants)
  6. Pregnant

Sites / Locations

  • University of Michigan Hospital

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

Amyotrophic lateral sclerosis

Healthy controls (MRI)

Arm Description

Clinical examination for ALS(amyotrophic lateral sclerosis) and subjects with lower motor neuron signs will be completed. These subjects will undergo MRI (magnetic resonance imaging) scans of the brain to assess neurological conditions.

These subjects will undergo MRI (magnetic resonance imaging) scans of the brain to compare against diseased subjects.

Outcomes

Primary Outcome Measures

Developing a Discrimination Model to Diagnose ALS
We will measure brain fractional anisotropy (unitless) using diffusion tensor imaging of ALS patients and compare these to corresponding measures in healthy control subjects as well as patients with lower motor neuron signs only.

Secondary Outcome Measures

Full Information

First Posted
November 4, 2013
Last Updated
May 31, 2018
Sponsor
University of Michigan
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1. Study Identification

Unique Protocol Identification Number
NCT01995903
Brief Title
Developing a Discrimination Model to Diagnose ALS
Official Title
Developing a Discrimination Model to Diagnose ALS Using Advanced MRI Techniques
Study Type
Interventional

2. Study Status

Record Verification Date
May 2018
Overall Recruitment Status
Completed
Study Start Date
April 2012 (Actual)
Primary Completion Date
October 2015 (Actual)
Study Completion Date
October 2015 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University of Michigan

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
To combine several brain imaging techniques to develop a new diagnostic test to help with earlier diagnosis of amyotrophic lateral sclerosis.
Detailed Description
Early diagnosis and lack of understanding of the pathophysiology of ALS remain a significant obstacle to making a timely intervention to help patients suffering from this fatal disease. We envision a future in which neuroimaging techniques will be a critical tool in the diagnostic work-up of ALS. Advanced neuroimaging techniques offer great potential in identifying central nervous system metabolite and cellular alterations in ALS. We propose an innovative approach to combine complementary advanced MRI techniques to interrogate brain chemistry (MRS), brain microstructure (DTI) and brain function (fcMRI) and develop a clinically relevant discriminatory disease model.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Amyotrophic Lateral Sclerosis

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
Non-Randomized
Enrollment
50 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Amyotrophic lateral sclerosis
Arm Type
Experimental
Arm Description
Clinical examination for ALS(amyotrophic lateral sclerosis) and subjects with lower motor neuron signs will be completed. These subjects will undergo MRI (magnetic resonance imaging) scans of the brain to assess neurological conditions.
Arm Title
Healthy controls (MRI)
Arm Type
Active Comparator
Arm Description
These subjects will undergo MRI (magnetic resonance imaging) scans of the brain to compare against diseased subjects.
Intervention Type
Diagnostic Test
Intervention Name(s)
MRI(magnetic resonance imaging)
Intervention Description
Subjects with amyotrophic lateral sclerosis and lower neuron motor skills and healthy subjects will undergo an MRI(magnetic resonance imaging)scans of the brain to assess neurologic condition. The brain scans will take approximately 60 minutes to complete.
Primary Outcome Measure Information:
Title
Developing a Discrimination Model to Diagnose ALS
Description
We will measure brain fractional anisotropy (unitless) using diffusion tensor imaging of ALS patients and compare these to corresponding measures in healthy control subjects as well as patients with lower motor neuron signs only.
Time Frame
5 years

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
80 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: 18 years of age or older subjects with ALS (amyotrophic lateral sclerosis) healthy subjects - Exclusion Criteria: Active substance abuse Has co-morbid psychiatric disease Has opportunistic CNS (central nervous system) infection Has a history of head injury Has a contraindication for MRI (e.g. cardiac pacemaker, ferromagnetic or metallic implants) Pregnant
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Bradley Foerster, M.D.
Organizational Affiliation
University of Michigan Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of Michigan Hospital
City
Ann Arbor
State/Province
Michigan
ZIP/Postal Code
48109
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No

Learn more about this trial

Developing a Discrimination Model to Diagnose ALS

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