Computer Assisted Early Detection of Liver Metastases From fMRI Maps
NCT ID: NCT00435097
Last Updated: 2007-02-14
Study Results
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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UNKNOWN
OBSERVATIONAL
Brief Summary
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Detailed Description
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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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Study Design
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DEFINED_POPULATION
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* 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
20 Years
ALL
Yes
Sponsors
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Hadassah Medical Organization
OTHER
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
Hebrew University
Jerusalem, , Israel
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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colmri-HMO-CTIL
Identifier Type: -
Identifier Source: org_study_id
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