RSNA 2006

Nov 28, 2006

Rain hit the Windy City on Wednesday during RSNA 2006.

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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).
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Doximity: Radiology makes top 5 specialties for compensation growth
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Radiology experienced high growth in physician compensation and remains an in-demand medical specialty, according to Doximity.
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An MRI-based model performed well in predicting pathologic complete response in women with triple-negative breast cancer.
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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).
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Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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An editorial calls for a clearly defined division of labor between AI systems and radiologists.
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An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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