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Emerging Insights on MRI-Guided Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer
In a recent video interview, Amar Kishan, M.D., discussed a new study that demonstrated significant side effect reduction when utilizing magnetic resonance imaging (MRI) guidance instead of computed tomography (CT) guidance for stereotactic body radiation therapy (SBRT) to treat localized prostate cancer.
Emerging research suggests that magnetic resonance imaging (MRI) guidance may be more advantageous than computed tomography (CT) guidance for reducing the side effects of stereotactic body radiation therapy (SBRT) in the treatment of prostate cancer.
Results from the phase 3 randomized trial, recently published in JAMA Oncology, showed that MRI guidance for SBRT led to a significantly reduced acute grade 2 or greater genitourinary (GU) toxicity rate (24.4 percent) versus that of CT guidance (43.4 percent). Researchers also noted no acute grade 2 or greater gastrointestinal (GI) toxic effects with MRI guidance in comparison to a 10.5 percent toxicity rate for CT guidance.
In a recent video interview, lead study author Amar Kishan, M.D. called the MRIdian LINAC (ViewRay) a “major technological breakthrough” that allows physicians to combine continuous MRI imaging with a more targeted radiation delivery system for prostate cancer.
“(With) these advanced precision and accuracy capabilities, particularly that high degree of tracking during the treatment, we felt we could reduce the margins around the prostate that we need to treat from four millimeters to two millimeters,” explained Dr. Kishan, an associate professor, vice-chair of Clinical and Translational Research and chief of the Genitourinary Oncology Service within the Department of Radiation Oncology at UCLA.
For more insights from Dr. Kishan, watch the video below.
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-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.
Study Emphasizes PSMA PET Staging of High-Risk, Hormone Sensitive Prostate Cancer
January 4th 2025In patients with high-risk, hormone sensitive prostate cancer who had no evidence of metastasis on conventional imaging, PSMA PET revealed polymetastatic disease in 24 percent of patients and M1 disease staging in 46 percent of patients.
Can MRI and Micro-Ultrasound Guidance Bolster Focal Laser Ablation Outcomes for Prostate Cancer?
January 3rd 2025For patients with localized prostate cancer and PI-RADS 3 or higher lesions, MRI-guided micro-ultrasound multifiber focal laser ablation had an 18 percent recurrence rate at one year, according to newly published research.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Can AI Enhance PET/MRI Assessment for Extraprostatic Tumor Extension in Patients with PCa?
December 17th 2024The use of an adjunctive machine learning model led to 17 and 21 percent improvements in the AUC and sensitivity rate, respectively, for PET/MRI in diagnosing extraprostatic tumor extension in patients with primary prostate cancer.
