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Oct 29, 2018
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PET/CT scans show lung damage in stone workers
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When CT meets the power of AI everyone benefits.
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SCCT: AI predicts coronary artery calcium scores from chest x-rays
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SCCT: CCTA model shows plaque volume changes in chest pain patients
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PET/CT scans show lung damage in stone workers
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The metabolic activities occurring in the lungs of these patients have been unknown.
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SCCT: Study explores diagnostic accuracy of CCTA
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Coronary CT angiography (CCTA) showed high concordance with invasive coronary angiography.
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SCCT: AI predicts coronary artery calcium scores from chest x-rays
By Will Morton
Researchers have developed an AI model that can identify coronary artery disease risk from chest x-rays.
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SCCT: CCTA model shows plaque volume changes in chest pain patients
By Amerigo Allegretto
A CCTA-based AI model demonstrated success in differentiating plaque volume among chest pain patients.
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Video: Incoming SCCT president discusses CT's environmental impact
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Incoming SCCT President Kavitha Chinnaiyan, MD, spoke to AuntMinnie about the environmental impact of CT and fostering women-led cardiovascular health research.
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Incoming SCCT President Kavitha Chinnaiyan, MD.
HPI: Telemedicine imaging rates lower than in-person visits
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An HPI report showed that diagnostic imaging was nearly 30% less likely to occur following a telemedicine visit than an in-person visit.
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AI system integrates eye gaze data and radiology reports
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Called CoRax, the system may be able to correct perceptual errors when radiologists interpret chest x-rays.
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AI improves diagnostic consistency in bpMRI for prostate imaging
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The results contribute to a growing body of literature that supports the use of AI with prostate cancer imaging.
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Closer proximity to Missouri's Coldwater Creek tied to cancer risk
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People who live or have lived near Coldwater Creek, Missouri, have a higher risk of developing cancer.
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ChatGPT-4 can accurately classify pancreatic cysts on MRI and CT images.
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CT reveals changes in lung holes in emphysema patients
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CT imaging of lung holes could offer a new way to visualize and quantify the natural course of emphysema.
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Emphysema progression with hole changes, with holes colored according to their diameter in 2-mm increments. (A) Baseline inspiratory nonenhanced axial CT scans in a 48-year-old man with chronic obstructive pulmonary disease show emphysema holes with hyperexpansion of secondary pulmonary lobules (white arrows) and thin alveolar walls visible in the right upper lobe. This emphysematous lesion is filled with holes of varying sizes. A single large air cyst was observed in the left upper lobe (black arrows), classified as a single emphysema hole of 20 mm or greater (bright green). (B) At six-year follow-up inspiratory nonenhanced axial CT, the holes in the right upper lobe have merged (white arrows), with no visible alveolar septa remaining, resulting in the formation of a large new hole of 20 mm or greater (bright green). Meanwhile, the hole in the left upper lobe also enlarged, merging with adjacent holes (black arrows). The size of other holes in the paramedian left upper lobe decreased.
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