DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
SEARCH
Current Location:
>
> This Story


Log in or Register to rate this News Story
Forward Printable StoryPrint Comment

 

 

MRI Homepage

The importance of breast MR screening for high-risk patients Experts weigh in on MR's emerging role in breast cancer diagnostics

All-optical ultrasound could pave way for combined MR-ultrasound imaging Three orders of magnitude faster than current optical systems

India hospital where man died in MR accident seeks new machine Adding a second scanner in addition to fixing the first raises concerns

MR okay for cardiac device patients – if done right Consulting with electrophysiologists is essential

Guerbet and IBM Watson to develop AI-based liver diagnostics solution Supports liver diagnostics in CT and MR

MITA calls for timely exemption process for Section 301 tariffs Calls for exemption of medical imaging technology

Praxair in deal to sell European assets to Taiyo Nippon Sanso Move is dependent on the successful closing of the Praxair-Linde merger

Canon showcases new 3T MR research system at meeting in France Generates images comparable to those acquired with 7T

MR scans may unlock toxins from certain dental fillings Study examines effects of ultra-high-field MR on mercury leakage in amalgam fillings

Man deemed too large for MR scanner sues Oregon provider for $7 million Alleges medical negligence led him to become permanent paraplegic

UCLA researchers used MR to examine
activity in the default mode network,
which is centered in the brain regions
highlighted in red.

Functional MR with machine learning may predict patient response to OCD treatment

by Lauren Dubinsky , Senior Reporter
UCLA researchers developed a new technique that combines fMR brain imaging and machine learning to predict whether patients with OCD will benefit from cognitive behavioral therapy (CBT).

“We would not have been able to look at the regions we looked at and provide the functional connectivity metrics we were interested in without fMRI,” Nicco Reggente, a UCLA doctoral student and the study’s first author, told HCB News.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



He added that since OCD has been associated with aberrant connectivity across cortical networks, the use of fMR was crucial to investigate these regions.

This technique has the potential to improve the success rate of CBT and enable clinicians to personalize treatment for each patient. If it predicts that a patient will be a non-responder to CBT, different treatment options could be explored.

Reggente and his team performed fMR exams on 42 patients with OCD between the ages of 18 and 60, before and after four weeks of daily, intensive CBT. They examined how different parts of the brain activate in sync with each other when the patient is resting.

The team also evaluated the severity of each patient's symptoms before and after treatment. They then plugged the fMR and symptoms data into a computer and leveraged machine learning to predict which patients would respond.

The machine learning algorithm predicted which patients would not respond to CBT with 70 percent accuracy. It also accurately predicted the patients’ final scores on the symptoms assessment with a small margin of error.

“We want to get to 100 percent [accuracy],” said Reggente. “The paths towards doing that would be first adding more patients so that the model has a better estimate of the variance. Secondly, we could insert additional feature sets into the model.”

For example, instead of just assessing functional connectivity, they could also look at structural connectivity. That would provide information on how well wired up the neurons across regions are.

It does cost several hundred dollars to perform and interpret a brief MR exam, but the cost of CBT ranges from $2,500 to $5,000 per week and usually spans four to eight weeks. UCLA’s fMR/machine learning technique could help patients who are unlikely to respond to CBT avoid those treatment costs.

MRI Homepage


You Must Be Logged In To Post A Comment

Advertise
Increase Your
Brand Awareness
Auctions + Private Sales
Get The
Best Price
Buy Equipment/Parts
Find The
Lowest Price
Daily News
Read The
Latest News
Directory
Browse All
DOTmed Users
Ethics on DOTmed
View Our
Ethics Program
Gold Parts Vendor Program
Receive PH
Requests
Gold Service Dealer Program
Receive RFP/PS
Requests
Healthcare Providers
See all
HCP Tools
Jobs/Training
Find/Fill
A Job
Parts Hunter +EasyPay
Get Parts
Quotes
Recently Certified
View Recently
Certified Users
Recently Rated
View Recently
Certified Users
Rental Central
Rent Equipment
For Less
Sell Equipment/Parts
Get The
Most Money
Service Technicians Forum
Find Help
And Advice
Simple RFP
Get Equipment
Quotes
Virtual Trade Show
Find Service
For Equipment
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2018 DOTmed.com, Inc.
ALL RIGHTS RESERVED