Computer Assisted Early Detection of Liver Metastases From fMRI Maps

NCT ID: NCT00435097

Last Updated: 2007-02-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Study Classification

OBSERVATIONAL

Brief Summary

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The purpose of this protocol is to develop a detailed MRI technique and haemodynamic maps enabling early detection of colorectal metastases in the liver.

Detailed Description

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In this research, we propose to develop methods and protocols for imaging-based, non-invasive early detection and diagnosis of colon cancer metastases. Colon cancer is the third most common cancer worldwide. While it is amenable to surgery if detected early, advanced carcinomas are usually lethal, with liver metastases being the most common cause of death. Early and accurate detection of these lesions is recognized as having the potential of improving survival rates and reducing treatment morbidity. Current diagnostic imaging offers improved discrimination and sensitivity that can be used for earlier detection of smaller lesions conducive to curative therapy.

In previous research, we demonstrated the feasibility of fMRI based on hypercapnia and hyperoxia for monitoring changes in liver perfusion and hemodynamics without contrast agent administration. The isolation and analysis of areas with significant hemodynamical changes in images acquired at early phase of tumor development has proven to be a difficult, time consuming, and potentially unreliable task. Our goal is thus two-fold: 1. use image processing and machine learning tools on a training set of hemodynamical maps obtained from well validated tumors to automate the process and improve its discrimination and sensitivity characteristics, and; 2. implement our method in patients with colorectal liver metastases. The method can help general radiologists with no image processing training to highlight undetectable tumors from background noise and increase diagnosis specificity and sensitivity.

Conditions

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Metastatic Colorectal Cancer

Study Design

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Observational Model Type

DEFINED_POPULATION

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Control group of healthy volunteers
* Study group: Patients with colon cancer stage III or IV with high suspicion of liver metastases: raising CEA, suspected lesion in the liver by CT or PET.

Exclusion Criteria

* Contraindication to perform MRI.
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Hadassah Medical Organization

OTHER

Sponsor Role lead

Principal Investigators

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Ayala Hubert, MD

Role: PRINCIPAL_INVESTIGATOR

Hadassah Medical Organization

Abramovitch Rinat, PhD

Role: PRINCIPAL_INVESTIGATOR

Hadassah Medical Organization

Joskowicz Leo, PhD

Role: PRINCIPAL_INVESTIGATOR

Hebrew University, Jerusalem

Locations

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Hadassah Medical Organization

Jerusalem, , Israel

Site Status

Hebrew University

Jerusalem, , Israel

Site Status

Countries

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Israel

Central Contacts

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Ayala Hubert, MD

Role: CONTACT

Hadas Lemburg, PhD

Role: CONTACT

00 972 2 6777572

Facility Contacts

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Arik Tzukert, DMD

Role: primary

00 972 2 6776095

Other Identifiers

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colmri-HMO-CTIL

Identifier Type: -

Identifier Source: org_study_id

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