American Institute of Ultrasound in Medicine (AIUM) Annual Convention

Mar 20th, 2020Mar 24th, 2020
New York City, NY
US
http://www.aium.org
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Dexa
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Nominations Are Open — 2026 Minnies
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Nominations Are Open — 2026 Minnies
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Approved Stamp 400
Lantheus wins FDA approval for tau PET imaging agent
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AI system cuts DEXA turnaround time, improves reports
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Median report creation and turnaround times dropped to under one minute.
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Prone positioning may lead to lower heart and lung doses and lower rates of acute dermatitis.
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Radiation Therapy Suite 400
Lantheus wins FDA approval for tau PET imaging agent
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Approved Stamp 400
Women's Imaging MinnieCast, Episode 15: BACs and heart disease risk
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Minnie Cast Thumbnail (19)
FAPI-PET/CT shows promise in hepatopancreatobiliary cancers
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Shown is a 69-year-old man with a cholangiocarcinoma in the distal common bile duct. F-18 FDG-PET/CT was negative where Ga-68 FAPI-46 PET/CT showed high focal FAPI uptake in the liver hilum and surrounding lymph nodes. a-d: F-18 FDG-PET/CT, e-h: Ga-68 FAPI-46 PET/CT. a, b, e, f: Maximum intensity projections, c, g: axial fusion images, d, h: non-contrast enhanced CT.
Longitudinal DBT could help improve long-term cancer risk prediction
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A longitudinal DBT model outperformed other models based on mammography and clinical factors in predicting five-year cancer risk.
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Breast Dbt 400
SBRT for prostate cancer cuts side effects, falls short on disease control
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A multinational team evaluated SBRT against moderately hypofractionated intensity-modulated radiation therapy in a phase III trial.
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Prostate Imaging
DEXA reveals tea consumption supports bone health
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Moderate-frequency tea consumption was associated with better bone mineral status and more favorable longitudinal changes.
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Adobe Stock 285124452
AI tools may not meet breast radiologists' expectations in practice
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AI tools in breast imaging may have more modest clinical impact on recall and biopsy rates.
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Stepped reminders boost CT lung cancer screening
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Trial findings directly address the current lack of effective lung cancer screening interventions.
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Lung Cancer
Model confidence, reader expertise affect reader-LLM collaboration
By Amerigo Allegretto
Successful human-LLM collaboration is associated with model confidence and reader expertise in chest imaging.
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Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
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