Can a special MRI spot kidney cancer better?
NCT ID NCT02526511
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested whether a special type of MRI, called perfusion MRI, can help doctors find and diagnose kidney tumors more accurately. 75 people with kidney cancer or suspected kidney tumors took part. The goal was to see if this imaging method could predict tumor type and how well a patient might respond to treatment.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a non-invasive MRI method to better diagnose kidney tumors and monitor treatment response without needing contrast dyes.
- What could go wrong
- This is a small pilot study, so results may not apply to all patients. The technique is still experimental and not yet proven to improve outcomes.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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75 people
The number who actually took part.
- Started
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Apr 2015
- Finished
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Sep 2023
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients must be able to read, understand, and voluntarily sign an informed consent document * For patients with organ confined renal tumors to be enrolled, the renal mass must be \>= 1 cm in diameter on computed tomography (CT) or magnetic resonance imaging (MRI) and can be any clinical stage T1a-T4 (non-metastatic); a histologic diagnosis is not required for enrollment; the primary imaging site would be kidney * For patients with metastatic renal tumors to be enrolled, a histologic diagnosis of renal cell carcinoma must exist and any burden of disease \>= 1 cm by CT or MRI is acceptable; the metastatic sites may be kidney, intra-abdominal (such as liver), brain, bone, or lymph nodes; lung lesions are NOT eligible because of the motion artifact caused by respiration * Patients with metastatic disease may have received prior nephrectomy and/or prior systemic therapy (no limit on number); their baseline pMRI would be performed prior to starting a new treatment * Negative pregnancy test if female of child-bearing age * Able to undergo contrast enhanced MRI Exclusion Criteria: * Severe concurrent disease, infection, or medical co-morbidity that, in the judgment of the investigator, would make the patient inappropriate for enrollment * Severe renal function impairment (estimated glomerular filtration rate \[eGFR\] \< 45 mL/min/1.73 m\^2) would make the patient inappropriate for enrollment due to the increased risk of nephrogenic systemic fibrosis (NSF) with higher dose of IV gadolinium-based contrast agents (GBCA) administration * Women who are pregnant or breastfeeding * Subjects who are unable to tolerate or are not eligible for MR imaging (claustrophobia, metal implantable devices such as pacemaker, aneurysm clips, etc) * Subjects with established allergy to IV GBCA
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Rutgers Cancer Institute of New Jersey
New Brunswick, New Jersey, 08903, United States
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