Oncology MRI

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.

The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.

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

While PET/MRI and PET/CT had comparable sensitivity for patient-level regional nodal metastases and lesion-level recurrence, the authors of a systematic review noted that PET/MRI had significantly higher accuracy in breast cancer and colorectal cancer staging.

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.

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

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.

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

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.

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.

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

Artificial intelligence (AI) assisted contouring of prostate cancer demonstrated superior balanced accuracy than manual standard-of-care contouring and hemigland contouring with MRI, according to a new study.

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

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.

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

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.

Developed by an extended prostate cancer working group of the European Society of Urogenital Radiology (ESUR), the updated PI-QUAL scoring system emphasizes a simplified scale of image parameters that applies to prostate MRI scans with and without intravenous contrast use.