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Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Motion and Lung Function (GCC 0943)

Dynamic MRI for Lung Tumor Motion and Lung Function

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01016938
Enrollment
16
Registered
2009-11-20
Start date
2009-11-30
Completion date
2015-10-31
Last updated
2019-08-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Brief summary

Radiation treatment for each patient with cancer is designed based on CT scans. We know that tumors in the chest and abdomen move when you breathe. Because of this, there can be differences between planned treatment and the treatment actually delivered to the body. Usually with radiation a safety margin is added to ensure that radiation hits the entire tumor. This can damage healthy parts of the body because the exact location of the tumor is unknown. Magnetic resonance imaging (MRI) is a painless and safe diagnostic procedure that uses a powerful magnet and radio waves to produce detailed images of the body's organs and structures, without the use of X-rays or other radiation. The research doctors are studying to see if the position of a tumor can be tracked using MRI scans and tracking sensors placed on the skin. MRI scans and the tracking system used to calculate the location and position of the tumor are both FDA approved technologies. The research doctors will also use the MRI scans to evaluate any changes in your lung function during and following your radiation treatments. In this study the participant will undergo a series of MRI scans with and without contrast dye. This study is being funded through grants from the National Institutes of Health (NIH).

Detailed description

In this protocol, we seek to assess whether tumor motion can be inferred using dynamic MRI and external surrogates. We propose to (1) investigate the feasibility of tracking the real-time tumor position using dynamic MRI and inferring tumor position using external surrogates placed on the skin of the subject and (2) determine lung function during and following radiation by assessing lung perfusion maps obtained via dynamic MRI with dose maps in order to determine image-based biomarkers for lung toxicity following radiation therapy.

Interventions

None listed

Sponsors

National Institutes of Health (NIH)
CollaboratorNIH
University of Maryland, Baltimore
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients 18 years old or older * Patients must be undergoing radiation therapy with or without chemotherapy for thoracic and/or abdominal cancers.

Exclusion criteria

* Pregnant or breast-feeding women are excluded. Negative serum or urine pregnancy test prior to study entry is required. Once on the protocol, the patient will be advised and expected to implement an accepted and effective method of contraception such as oral contraceptives (birthcontrol pill), intrauterine devices (IUDs), contraceptive implants under skin or contraceptive injections and condoms with foam. * Patients with kidney disease of any severity or on hemodialysis. * Patients who have metallic dental fillings or other metallic implants. * Patients with known allergies to gadolinium-based contrast agents. * Patients who have difficulty lying flat on their back for extended periods of time will be excluded

Design outcomes

Primary

MeasureTime frameDescription
Number of Participants Whose Tumor Position is Visible Within ~2mm Using Cine-MRI Scans and External Sensors2 yearsTumor tracking using cine-MRI and external surrogates with an accuracy of \ 2mm. The participants' tumor size/margins were not specficially defined as long as it was visible/measurable on the MRI.

Secondary

MeasureTime frameDescription
Number of Participants Whose Tumor Motion Could be Tracked Using Dynamic MRI w/ Contrast Post Radiation2 yearsThe internal margin (IM) is one half of the peak-to-peak displacement amplitude on 4D-CT images.

Countries

United States

Participant flow

Participants by arm

ArmCount
Dynmaic Lung MRI
Lung Tumor Motion and Function
16
Total16

Baseline characteristics

CharacteristicDynmaic Lung MRI
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
11 Participants
Age, Categorical
Between 18 and 65 years
5 Participants
Region of Enrollment
United States
16 participants
Sex: Female, Male
Female
4 Participants
Sex: Female, Male
Male
12 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 16
serious
Total, serious adverse events
0 / 16

Outcome results

Primary

Number of Participants Whose Tumor Position is Visible Within ~2mm Using Cine-MRI Scans and External Sensors

Tumor tracking using cine-MRI and external surrogates with an accuracy of \ 2mm. The participants' tumor size/margins were not specficially defined as long as it was visible/measurable on the MRI.

Time frame: 2 years

ArmMeasureValue (NUMBER)
Lung Tumor Motion and Lung FunctionNumber of Participants Whose Tumor Position is Visible Within ~2mm Using Cine-MRI Scans and External Sensors7 participants
Secondary

Number of Participants Whose Tumor Motion Could be Tracked Using Dynamic MRI w/ Contrast Post Radiation

The internal margin (IM) is one half of the peak-to-peak displacement amplitude on 4D-CT images.

Time frame: 2 years

ArmMeasureValue (NUMBER)
Lung Tumor Motion and Lung FunctionNumber of Participants Whose Tumor Motion Could be Tracked Using Dynamic MRI w/ Contrast Post Radiation7 participants

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026