Stan Burch

Breast
Conversion to FFDM requires careful management of analog priors
It's not easy going digital in any area of radiology, but mammography provides special challenges due to its large file sizes, need to access prior exams, and other factors. In this white paper, Stan Burch of archiving services provider SourceCorp Radiology offers guidance on how to make the transition.
July 16, 2009
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Could AI help standardize MSK ultrasound?
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The instrument will allow clinicians to "compare diagnostic strategies on patient-relevant endpoints," researchers noted.
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"All of us are frustrated with the gap between what patients receive on a routine basis and where the research community is ..."
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By Amerigo Allegretto
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(A) Overview of study participants with different clinical phenotypes depicted in distinct colors: Limbic encephalitis (LE)/temporal lobe epilepsy (TLE): Blue; cerebellar ataxia (CA): Green; stiff person syndrome (SPS): Red, including overlapping clinical features with an overview of the analyzed parameter; generated in Biorender. (B) F-18 F-DED uptake, as visualized by SUVr with global mean scaling, is shown for three representative patients with GAD65-AIE: Patient #6 with LE/TLE, showing mesiotemporal F-18 F-DED uptake; patient #16 with overlapping clinical features of CA, SPS, and LE, showing both mesiotemporal and cerebellar F-18 F-DED uptake; and patient #17 with isolated SPS showing no increased F-18 F-DED uptake. Additionally, the average F-18 F-DED uptake of eight controls is shown on the right.
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Non-Hispanic white, Asian, and uninsured women ages 40 to 49 years used mammography less between 2010 and 2022.
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Representative images of participants with difficulty with breath holding and arrhythmia. In the lower right corner of A–L, the position coordinates of the images are marked. Short-axis (SA) view images in the end-systole (A–F) and end-diastole (G–L) phases in participants with atrial fibrillation. (A–C, G–I) Balanced steady-state free precession (bSSFP) cardiac cine. (D–F, J–L) Deep learning–enhanced compressed sensing (AI-CS) single-shot cardiac cine. In contrast to AI-CS single-shot cardiac cine, endocardial contours were challenging to identify on conventional segmented cine in midventricular and apical sections. (M) Line graph of time curve during the whole cardiac cycle obtained from bSSFP cardiac cine. (N) Line graph of time curve during the whole cardiac cycle obtained from AI-CS single-shot cardiac cine. LV = left ventricle; 2D = two-dimensional.
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