May 29, 2008 - Brown University scientists have found that magnetic nanoparticles can be helpful in locating cancerous cell clusters during MRI scans, and with a thinner coating, the particles also emit a stronger signal for the MRI to detect.

Brown University chemist Shouheng Sun and a team of researchers have created the smallest magnetic nanoparticles to date that can be employed for such use. The nanoparticles seek out tumor cells and attach themselves to them. Once the nanoparticles bind themselves to these cancer cells, the particles operate like radio transmitters, greatly aiding the MRI's detection capability.

The team created peptide-coated iron oxide nanoparticles - particles billionths of a meter in size. The researchers injected the particles into mice and tested their ability to locate a brain tumor cell called U87MG. Sun and his collaborators concentrated specifically on the nanoparticle's size and the thickness of the peptide coating, which ensures the nanoparticle attaches to the tumor cell.

Size is important because the idea is to create a nanoparticle that is small enough to navigate through the bloodstream and reach the diseased area. Bigger particles tend to stack up, creating the circulatory system's version of a traffic jam. Sun's team developed a nanoparticle that is about 8.4 nanometers in overall diameter - some six times smaller than the size of particles currently used in medicine.

The coating, while integral to the nanoparticles' attachment to the tumor cell, also is crucial to establishing the "signal-to-noise" ratio that a MRI uses. The thinner the coating, the stronger the emitted signal and vice versa. Sun's team outfitted their nanoparticles with a two-nanometer thick peptide coating - 10 times thinner than the coating available in popular MRI contrast agents such as Feridex. Sun's nanoparticles are like having a 50,000-watt radio transmitter versus a 150-watt station; it's easier for the MRI to "hear" the stronger signal and to hone in on the signal's source.

Another important feature of the team's work is discovering that the RGD peptide coating binds almost seamlessly to the U87MG tumor cell. The team plans to test the particle's ability to bind with other tumor cells in further animal experiments.

The results have been published online this week in the Journal of the American Chemical Society. Brown graduates students Jin Xie, Chenjie Xu and Sheng Peng collaborated on the research, along with Professor Xiaoyuan Chen and his associates from Stanford University.

For more information: www.brown.edu


Related Content

Feature | Radiology Business

Beginning this spring, ITN will begin sending out a bi-monthly survey to our readers on a variety of topics, which we ...

Time May 02, 2024
arrow
News | FDA

April 29, 2024 — The U.S. Food and Drug Administration (FDA) announced Elekta Instrument AB is recalling Disposable ...

Time April 29, 2024
arrow
News | PET Imaging

April 24, 2024 — A new study from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare ...

Time April 24, 2024
arrow
News | Radiology Business

April 23, 2024 — A diverse writing group, led by authors at the University of Toronto, have developed an approach for ...

Time April 23, 2024
arrow
News | Radiology Business

April 17, 2024 — VISTA.AI announced the appointment of Daniel Hawkins as President and CEO. The company is pioneering AI ...

Time April 17, 2024
arrow
News | Radiology Business

April 4, 2024 — FUJIFILM Healthcare Americas Corporation, a leading provider of diagnostic and enterprise imaging ...

Time April 04, 2024
arrow
News | Molecular Imaging

March 29, 2024 — Magnetic resonance imaging (MRI) is a cornerstone in the landscape of medical diagnostics, celebrated ...

Time March 29, 2024
arrow
News | FDA

March 27, 2024 — SyntheticMR announced that its next-generation imaging solution, SyMRI 3D, has received FDA 510(k) ...

Time March 27, 2024
arrow
News | Artificial Intelligence

March 1, 2024 — Royal Philips, a global leader in health technology, and magnetic resonance imaging (MRI) software ...

Time March 01, 2024
arrow
News | Cardiac Imaging

February 12, 2024 — According to the American Journal of Roentgenology (AJR), free-breathing cine-deep learning (DL) may ...

Time February 12, 2024
arrow
Subscribe Now