RSNA 2006

Nov 28, 2006

A panorama of the Lakeside Learning Center.

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CT may best conventional measurements for assessing BMD in diabetics
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MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
MRI-based model predicts treatment response in breast cancer patients
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Doximity: Radiology makes top 5 specialties for compensation growth
By Amerigo Allegretto
Radiology experienced high growth in physician compensation and remains an in-demand medical specialty, according to Doximity.
July 31, 2025
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3 predictions on how AI could affect radiology
By Kate Madden Yee
As AI continues to be incorporated into radiology, its use could also expose clinicians to risk, both short- and long-term.
July 31, 2025
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CT may best conventional measurements for assessing BMD in diabetics
By Kate Madden Yee
CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
July 30, 2025
Back Spine Skeleton
MRI-based model predicts treatment response in breast cancer patients
By Amerigo Allegretto
An MRI-based model performed well in predicting pathologic complete response in women with triple-negative breast cancer.
July 30, 2025
MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
Data transparency is lacking for FDA-cleared Alzheimer's AI technology
By Liz Carey
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer's disease.
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AI spots breast lesions on targeted ultrasound
By Amerigo Allegretto
Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
July 30, 2025
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In-bore MRI-targeted biopsy effective in prostate cancer
By Will Morton
Concordance between biopsy and surgical grade groups was moderate (60.2%), with a risk of undergrading, researchers reported.
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Adverse reaction rates to GBCAs are low in children
By Kate Madden Yee
The review suggests gadolinium-based contrast agents (GBCAs) are relatively safe for children.
July 29, 2025
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Informatics leaders propose AI model integration framework
By Liz Carey
An editorial calls for a clearly defined division of labor between AI systems and radiologists.
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AI reduces false-negative rates on screening DBT
By Amerigo Allegretto
An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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Visual reads of amyloid PET scans effective in real-world settings
By Will Morton
The findings support the use of amyloid PET scans as acquired and visually read in the real world.
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MRI reveals effects of ultraprocessed food on the heart
By Kate Madden Yee
MRI shows that a higher intake of ultraprocessed food is associated with a greater burden of atherosclerotic plaque in the carotid artery.
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