Implantation of CEST and CESL MRI Methods for Detection of Breast Tumors
Primary Purpose
Malignant Tumor of Breast, Benign Breast Lumps, High-Risk Breast Cancer
Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
MRI scan
Sponsored by

About this trial
This is an interventional diagnostic trial for Malignant Tumor of Breast
Eligibility Criteria
Inclusion Criteria:
- Women with suspicious finding/process in the breast that requires MRI examination
- Age: Over 18 years.
- For 10 patients of control group - patients without breast tumor, carriers of mutations in P53, BRCA2, BRCA1 or PTEN genes or women after genetic counseling who have been defined as having a 20% risk of developing breast cancer and are undergoing routine MRI.
Exclusion Criteria:
- Pregnancy or breastfeeding
- Sensitivity to glucosamine and / or gadolinium.
- Renal failure with creatinine clearance less than 30 cc per minute.
- Weight over 130 kg.
- Patients who have undergone breast surgery in the past year.
- Claustrophobia.
- Cardiovascular instability, symptomatic heart disease, pacemaker, artificial heart valve.
- Intra-body injection device.
- A generalized (idiopathic) epileptic seizure that is pharmacologically unbalanced.
- Metabolic instability (water economy, electrolytes, sugar).
- Suffers from a gastrointestinal disorder that affects absorption.
- Fever or evidence of a microbiological contaminant.
- Women using drugs that are related to derivatives of warfarin-coumadin.
- Women with phenylketonuria
- Inability to sign informed consent.
- COVID-19
In addition, all examinees will be subject to the accepted criteria for inclusion and exclusion of the MRI unit at Meir Medical Center.
Sites / Locations
Arms of the Study
Arm 1
Arm Type
Experimental
Arm Label
One arm - all patients
Arm Description
Outcomes
Primary Outcome Measures
Detection and diagnosis of malignant tumors in the breast
Detection and diagnosis of malignant tumors in the breast without the use of gadolinium contrast agent.
The proposed GlcN CEST MRI method is based on the ability of tumors to accumulate glucosamine in a preferred manner (Warburg effect). Therefore, the new method allows the acquisition of new information that is not obtained by other imaging methods: the method allows the presentation of a new contrast image in MRI that expresses metabolic changes in the tumor, expressed as % GlcN CEST.
Secondary Outcome Measures
Tumor classification: benign or malignant
It is hypothesized that the proposed study will allow to distinguish between malignant and benign tumors based on the quantification of glucosamine and its metabolites uptake in the tumor. Tools for assessing this outcome measure:
Construction of a CEST scale bar based on magnetization transfer asymmetry ratio (MTRasym) maps that will be evaluated on a predetermined scale (expressing the effect as %).
A GlcN signal rising over or equivalent to the MTRasym impact of 3% will be considered as a success metric for malignant tumors. MTRasym percentages are expected to be minimal to zero in benign tumors because GlcN uptake is likely to be poor.
Glucosamine CEST scale bar
Create a scale bar representing the CEST intensity (percent) in the tumor, which will be used to determine the degree of malignancy.
Finding correlation between research results and selected pathological parameters to better identify breast cancer
In order to examine and/or assess the correlation between disease manifestation and the GlcN CEST MRI finding, the research results will be compared to selected pathological/ histopathological parameters of the patients (such as disease classification, grade, presence of estrogen receptors, progesterone receptor status, HER2, Ki-67 status, and so on). The statistical significance of the correlation will be assessed
Using Mathematical model
As glucosamine accumulates in tumors, the level of malignancy and activity of distinct regions in the tumor can be assessed using mathematical modeling of the numerous products that contribute to the CEST MRI signal.
To resolve individual contributions to the GlcN CEST effect, the Z spectra will be analyzed using a multi-pool Gaussian fitting model for the separation of the water, Magnetization transfer (MT), hydroxyl, amine/amide, and Nuclear Overhauser enhancement (NOE) signals.
The fitting of the Z-spectrum to the sum of multiple Gaussian functions will be performed using the following equation: y= iAiexp [ -4ln2(x-ωi)2 / σi2] where ω is the frequency offset from the water resonance (ppm), and Ai, ωi and σi are the amplitude, frequency offset (ppm) and linewidth (ppm) of the CEST peak for the ith proton pool, respectively. Thus, using the multi-pool Gaussian fitting approach will enable to account for the contribution of each metabolite to the total GlcN CEST effect.
Full Information
NCT ID
NCT05305937
First Posted
February 23, 2022
Last Updated
March 23, 2022
Sponsor
Meir Medical Center
Collaborators
Tel Aviv University
1. Study Identification
Unique Protocol Identification Number
NCT05305937
Brief Title
Implantation of CEST and CESL MRI Methods for Detection of Breast Tumors
Official Title
Implantation of CEST and CESL MRI Methods for Detection of Breast Tumors
Study Type
Interventional
2. Study Status
Record Verification Date
March 2022
Overall Recruitment Status
Not yet recruiting
Study Start Date
May 2022 (Anticipated)
Primary Completion Date
May 31, 2024 (Anticipated)
Study Completion Date
May 31, 2025 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Meir Medical Center
Collaborators
Tel Aviv University
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
Yes
Product Manufactured in and Exported from the U.S.
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
MRI is a well-established method in breast imaging. It gives excellent morphological information but does not reflect the metabolic activity leading to high proportion of false positive results. PET-CT fulfills this gap but suffers from low resolution and the risk of radiation damage. Lately, chemical exchange saturation transfer (CEST) MRI of glucose has been proposed as a new molecular imaging approach for diagnosing tumors given its high sensitivity at the molecular level and the known enhanced glucose uptake by tumors. Several glucose analogs were examined as possible candidates for imaging of breast tumors. One of the most promising agent for CEST-MRI is glucosamine (GlcN); owing to its phosphorylated products that accumulate in breast tumors, it enables to reflect their metabolic profile. In preclinical experiments glucosamine exhibits enhanced CEST signals in 4T1 and MCF7 implanted breast cancer cells in mice. Its potential for the human clinical application is strengthened by its lack of toxicity. Here the investigators propose to test the method for human subjects on a clinical MRI setup. The goal of this study is to develop innovative molecular imaging modality based on CEST-MRI of GlcN for the detection of breast tumors. The investigators will use the newly developed CEST-MRI modality for the detection of benign and malignant breast cancer in a clinical MRI scanner.
.
Detailed Description
The primary aim of this study is to develop innovative molecular imaging modality based on the chemical exchange saturation transfer MRI (CEST-MRI) of glucosamine (GlcN) to visualize and measure breast tumors. GlcN has been shown to have good breast tumor targeting properties allowing its detection in laboratory animals under CEST MRI technique. The investigators will use the newly developed CEST-MRI modality for the detection of benign and malignant breast cancer in a clinical MRI scanner
STUDY AIMS
Investigate the possibility of obtaining a new contrast image of breast cancer tumors using glucosamine as a new contrast agent using the CEST imaging method (Chemical Exchange Saturation Transfer chemical exchange during saturation transition) and/or the CESL (Spin Lock chemical exchange method).
A comparison of the contrast image obtained by the novel GlcN CEST-MRI and/or CESL-MRI methods to that obtained by traditional MRI methods like T1, T2.
Using the GlcN- CEST-MRI / or CESL-MRI approaches, compare the signal obtained by malignant and benign tumors, examination if these methods can distinguish between the two types of tumors.
Patients bearing solid breast tumors will be scanned at the clinical MRI setup. The scans will include short anatomical scans (of T1 and T2 images) and CEST imaging. Patients will be required to fast for at least 4 hours before the scan (can drink water during fasting). The participants will be asked to drink glucosamine solution (184 mg/kg). Patients will be scanned twice during the same MRI session, before and 2 hours after taking glucosamine orally. In addition to the CEST scans with GlcN, patients will undergo MRI scans with the standard contrast agent of gadolinium. This procedure will be done following the CEST scan. The CEST scan takes a few minutes (up to 10 minutes).
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Malignant Tumor of Breast, Benign Breast Lumps, High-Risk Breast Cancer
7. Study Design
Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
70 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
One arm - all patients
Arm Type
Experimental
Intervention Type
Device
Intervention Name(s)
MRI scan
Intervention Description
All patients will be scanned twice during the same MRI session, before and 2 hours after taking glucosamine orally. In addition to the CEST scans with glucosamine, patients will undergo MRI scans with the standard contrast agent of gadolinium. This procedure will be done following the CEST scan
Primary Outcome Measure Information:
Title
Detection and diagnosis of malignant tumors in the breast
Description
Detection and diagnosis of malignant tumors in the breast without the use of gadolinium contrast agent.
The proposed GlcN CEST MRI method is based on the ability of tumors to accumulate glucosamine in a preferred manner (Warburg effect). Therefore, the new method allows the acquisition of new information that is not obtained by other imaging methods: the method allows the presentation of a new contrast image in MRI that expresses metabolic changes in the tumor, expressed as % GlcN CEST.
Time Frame
up to three years (MRI scans and data collection and interpretation will last up to 2 years; post processing, reports and publications will last about one more year)
Secondary Outcome Measure Information:
Title
Tumor classification: benign or malignant
Description
It is hypothesized that the proposed study will allow to distinguish between malignant and benign tumors based on the quantification of glucosamine and its metabolites uptake in the tumor. Tools for assessing this outcome measure:
Construction of a CEST scale bar based on magnetization transfer asymmetry ratio (MTRasym) maps that will be evaluated on a predetermined scale (expressing the effect as %).
A GlcN signal rising over or equivalent to the MTRasym impact of 3% will be considered as a success metric for malignant tumors. MTRasym percentages are expected to be minimal to zero in benign tumors because GlcN uptake is likely to be poor.
Time Frame
3 years (data collection and post processing)
Title
Glucosamine CEST scale bar
Description
Create a scale bar representing the CEST intensity (percent) in the tumor, which will be used to determine the degree of malignancy.
Time Frame
Three years (data collection and post processing)
Title
Finding correlation between research results and selected pathological parameters to better identify breast cancer
Description
In order to examine and/or assess the correlation between disease manifestation and the GlcN CEST MRI finding, the research results will be compared to selected pathological/ histopathological parameters of the patients (such as disease classification, grade, presence of estrogen receptors, progesterone receptor status, HER2, Ki-67 status, and so on). The statistical significance of the correlation will be assessed
Time Frame
3 years (data collection and statistical evaluation)
Title
Using Mathematical model
Description
As glucosamine accumulates in tumors, the level of malignancy and activity of distinct regions in the tumor can be assessed using mathematical modeling of the numerous products that contribute to the CEST MRI signal.
To resolve individual contributions to the GlcN CEST effect, the Z spectra will be analyzed using a multi-pool Gaussian fitting model for the separation of the water, Magnetization transfer (MT), hydroxyl, amine/amide, and Nuclear Overhauser enhancement (NOE) signals.
The fitting of the Z-spectrum to the sum of multiple Gaussian functions will be performed using the following equation: y= iAiexp [ -4ln2(x-ωi)2 / σi2] where ω is the frequency offset from the water resonance (ppm), and Ai, ωi and σi are the amplitude, frequency offset (ppm) and linewidth (ppm) of the CEST peak for the ith proton pool, respectively. Thus, using the multi-pool Gaussian fitting approach will enable to account for the contribution of each metabolite to the total GlcN CEST effect.
Time Frame
up to 3 years (post processing-1 year)
10. Eligibility
Sex
Female
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria:
Women with suspicious finding/process in the breast that requires MRI examination
Age: Over 18 years.
For 10 patients of control group - patients without breast tumor, carriers of mutations in P53, BRCA2, BRCA1 or PTEN genes or women after genetic counseling who have been defined as having a 20% risk of developing breast cancer and are undergoing routine MRI.
Exclusion Criteria:
Pregnancy or breastfeeding
Sensitivity to glucosamine and / or gadolinium.
Renal failure with creatinine clearance less than 30 cc per minute.
Weight over 130 kg.
Patients who have undergone breast surgery in the past year.
Claustrophobia.
Cardiovascular instability, symptomatic heart disease, pacemaker, artificial heart valve.
Intra-body injection device.
A generalized (idiopathic) epileptic seizure that is pharmacologically unbalanced.
Metabolic instability (water economy, electrolytes, sugar).
Suffers from a gastrointestinal disorder that affects absorption.
Fever or evidence of a microbiological contaminant.
Women using drugs that are related to derivatives of warfarin-coumadin.
Women with phenylketonuria
Inability to sign informed consent.
COVID-19
In addition, all examinees will be subject to the accepted criteria for inclusion and exclusion of the MRI unit at Meir Medical Center.
12. IPD Sharing Statement
Learn more about this trial
Implantation of CEST and CESL MRI Methods for Detection of Breast Tumors
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