Magnetic resonance imaging with restriction spectrum imaging may help clinicians better identify prostate cancer staging.
Enhanced MRI diffusion with restriction spectrum imaging (RSI-MRI) shows promise for substantially improving prostate cancer imaging, according to a study published in the journal Prostate Cancer and Prostatic Disease.
Researchers from the University of California, San Diego School of Medicine, and the University of California, Los Angeles, developed a novel, enhanced MRI diffusion technique using restriction spectrum imaging and compared its efficacy with standard MRI for detecting extraprostatic extension (EPE).
Twenty-seven patients with prostate cancer who underwent MRI and RSI-MRI prior to radical prostatectomy were evaluated. Ten patients had histologically proven pT3 disease.[[{"type":"media","view_mode":"media_crop","fid":"30855","attributes":{"alt":"Rebecca Rakow-Penner, MD, PhD","class":"media-image media-image-right","id":"media_crop_6210645127716","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"3242","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"border-width: 0px; border-style: solid; margin: 1px; float: right;","title":"Rebecca Rakow-Penner, MD, PhD","typeof":"foaf:Image"}}]]
The results showed that the standard preoperative MRI correctly identified extraprostatic extension in two patients (22%) of the nine with pT2. The RSI-MRI identified EPE in eight of the nine patients (89%), and the technique also correctly identified pT2 disease in the remaining 18 patients.
"This new approach is a more reliable imaging technique for localizing tumors. It provides a better target for biopsies, especially for smaller tumors," first author Rebecca Rakow-Penner, MD, PhD, research resident in the Department of Radiology, University of California San Diego, said in a release.
The researchers concluded that although more research is needed, their RSI-MRI technology was feasible and showed promise in imaging for prostate cancer.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.
Surveillance Breast MRI Associated with Lower Risks of Advanced Second Breast Cancers
January 8th 2025After propensity score matching in a study of over 3,000 women with a personal history of breast cancer, researchers found that surveillance breast MRI facilitated a 59 percent lower risk in advanced presentations of second breast cancers.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.