Women's Health MRI

The deep learning SubtleSynth software creates synthetic STIR images that are reportedly interchangeable with conventional sequences obtained from T1 and T2-weighted MRI.

The Aperto Lucent open 0.4T MRI platform reportedly offers enhanced fat suppression and spatial resolution capabilities in addition to its open architecture design.

Researchers found that mpMRI was 18 percent more accurate than dual-energy CT (DECT) for T1 staging and 19 percent more accurate for N3 staging of gastric cancer.

Emerging research revealed that a machine learning combination of amyloid beta PET and structural MRI demonstrated an 89 percent AUC in differentiating between older healthy patients and those with Alzheimer’s disease.

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In the study of over 1,400 women with breast cancer, researchers noted that Black women with dense breasts or lobular histology were significantly less likely to have preoperative MRI exams than White women with the same clinical characteristics.

The AISmartDensity software facilitated a cancer detection rate (CDR) with breast MRI that was nearly four times higher than the CDR previously reported in trials involving traditional breast density assessment.

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The combination of mammography with breast MRI within 90 days had a 96.2 percent sensitivity in comparison to 48.1 percent for mammography and 79.7 percent for breast MRI performed within 91 to 270 days after index mammography, according to newly published research.

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Catch up on the most-well viewed radiology content in June 2024.

For patients with mild Parkinson’s disease, new research suggests that indexes of disease pathology with structural and functional connectivity of brain regions can help predict progression of gray matter atrophy at two- and three-year follow-up brain MRI exams.

Noting an average processing time of 24 seconds for deep learning detection of acute ischemic stroke on brain MRI, the authors of a new study said deep learning assessment of DWI and FLAIR sequences had equivalent sensitivity and AUROC to T2WI MRI.

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Targeting improvements in workflow, patient consent protocols and adherence to scheduled exam times, researchers noted significant reductions in 15-minute and 30-minute delays with MRI exams for patients who required sedation or general anesthesia.

Employing a cut-off of Node-RADS > 2 for differentiating malignant lymph nodes with breast MRI in women with breast cancer, researchers noted average sensitivity and specificity rates of 91.5 percent and 87.4 percent respectively.

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As ongoing advances continue to redefine and elevate the diagnostic capabilities of MRI, ensuring the safety of patients and operators through effective signage, training and regular safety audits is of paranount importance.

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Additional carcinoma in the ipsilateral breast was detected on preoperative MRI exams in 24 out of 102 women prior to lumpectomy and mastectomy procedures, according to new study findings presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.

Catch up on the most-well viewed radiology content in May 2024.

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

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

In a study of over 2,000 women with dense breasts and average breast cancer risk, abbreviated MRI (AB-MR) demonstrated an 18.9 per 1000 cancer detection rate (CDR) in baseline exams, and all cancers detected with baseline or subsequent AB/MR exams were stage 0 or 1.

Incorporating dynamic contrast-enhanced MRI, a deep learning model demonstrated a 20 percent higher AUC in external validation testing than clinical factors alone and over a 17 percent higher AUC than radiological factors alone in predicting proliferative hepatocellular carcinoma (HCC).