Oncology MRI

Catch up on the top radiology content of the past week.

Catch up on the most-well viewed radiology content in July 2025.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

Catch up on the latest MRI studies, AI innovations, and expert insights on abbreviated breast MRI with our Weekly Scan.

In external validation findings from a 29-study meta-analysis, MRI-based AI had a pooled AUC of 85 percent for preoperative prediction for microvascular invasion in patients with hepatocellular carcinoma.

A fully convolutional data description (FCDD) model for identifying anomalies on breast MRI demonstrated an 84 percent AUC for detection tasks in a balanced cohort with a 20 percent malignancy prevalence and a 72 percent AUC for detection tasks in an imbalanced group with a 1.85 percent cancer prevalence.

The updated capabilities of SwiftMR include personalized scan settings within the software, artifact reduction and cloud integration.

Emerging research revealed significantly enhanced sensitivity for prostate cancer detection with adjunctive and stand-alone use of AI.

For patients with unresectable hepatocellular carcinoma, a pre-treatment MRI finding of LI-RADS tumor in vein was associated with over an 86 percent lower likelihood of responding to transcatheter arterial chemoembolization (TACE) and targeted immunotherapy.

In external testing, a model combining radiological complete response on breast MRI, nodal status and Ki-67 proliferation index yielded an 88 percent AUC for predicting pathologic complete response to neoadjuvant chemoimmunotherapy for patients with triple-negative breast cancer, according to new research.

The deep learning reconstruction software reportedly facilitates accelerated MRI scanning and significantly enhanced image sharpness.

Catch up on the most-well viewed radiology content in June 2025.

Catch up on the top AI-related news and research in radiology over the past month.

Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.

While the addition of contrast-enhanced mammography (CEM) to digital breast tomosynthesis (DBT) led to over a 13 percent increase in false positive cases, researchers also noted over double the cancer yield per 1,000 women in comparison to DBT alone.

The use of adjunctive AI in biparametric prostate MRI exams led to 3.3 percent and 3.4 percent increases in the AUC and specificity, respectively, for clinically significant prostate cancer (csPCa) in a 360-person cohort drawn from 53 facilities.

An alternative to an open neurosurgical approach, the Visualase V2 MRI-Guided Laser Ablation System reportedly utilizes laser interstitial thermal therapy (LITT) for targeted soft tissue ablation in patients with brain tumors and focal epilepsy.

Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.

A partial response rate to neoadjuvant chemotherapy on mid-treatment MRI preceded a higher pathologic complete response (pCR) in 61.5 percent of women with triple-negative breast cancer, according to research presented at the American Society of Clinical Oncology (ASCO) conference.

Assessing the simulated use of AI-generated suspicion scores for determining whether one should continue with full MRI or shift to an abbreviated MRI, the authors of a new study noted comparable sensitivity, specificity, and positive predictive value for biopsies between the MRI approaches.

Moderate or marked background parenchymal enhancement (BPE) reduces the sensitivity and specificity of MRI for breast cancer detection by more than 10 percent in comparison to scans with minimal or mild BPE, according to a new meta-analysis.

Catch up on the most-well viewed radiology content in May 2025.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

For women with dense breasts and negative mammograms, contrast-enhanced mammography and abbreviated MRI provided respective cancer detection rates of 19.2 per 1000 exams and 17.4 per 1000 exams, according to new research.

The MSKai software provides AI-powered segmentation, labeling, and measurement tools for assessment of T2-weighted MRIs of the lumbar spine.

Emerging research suggests that abbreviated breast MRI offers comparable sensitivity and specificity as multiparametric MRI in women with extremely dense breasts with a nearly 50 percent reduction in reading time for radiologists.

New guidelines from the European Society of Urogenital Radiology (ESUR) offer pertinent principles and recommendations for MRI use in considering fertility-sparing treatments for women with ovarian, endometrial, or cervical cancer.