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RSNA: Lung Cancer Screening Predicts Risk of Death from Heart Disease

RSNA: Lung Cancer Screening Predicts Risk of Death from Heart Disease
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A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging.
Lung screening studies show that heavy smokers die from cardiovascular disease as much as from lung cancer. The work offers a direction for future research to precisely pinpoint which calcifications are dangerous.
OAK BROOK, Ill. (PRWEB)
April 15, 2021
A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging. ....

United States , University Of Texas Southwestern Medical Center , Noord Holland , Suhny Abbara , Nikolas Lessmann , University Medical Center Utrecht , Amsterdam University Medical Center , Image Sciences Institute , United States Preventive Services Task Force , Radiological Society Of North America Inc , National Lung Screening Trial , Learning Quantified Calcium Scores , Automatic Cardiovascular Mortality Prediction , Lung Screening Low Dose , Cardiothoracic Imaging , Texas Southwestern Medical Center , Radiological Society , North America , Oak Brook , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் டெக்சாஸ் தென்மேற்கு மருத்துவ மையம் , நூற்த் ஹாலண்ட் , பல்கலைக்கழகம் மருத்துவ மையம் அட்ரெக்ட் , ஆம்ஸ்டர்டாம் பல்கலைக்கழகம் மருத்துவ மையம் , ஒன்றுபட்டது மாநிலங்களில் ப்ரெவெஂடிவ் சேவைகள் பணி படை , கதிரியக்கவியல் சமூகம் ஆஃப் வடக்கு அமெரிக்கா இன்க் ,

Lung cancer screening predicts risk of death from heart disease

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IMAGE: Projections of all aligned chest CT scans show feasibility of slab-based quantification of calcium, resulting in an average image. For alignment, only translation, rotation, and scaling were allowed, resulting in.
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Credit: Radiological Society of North America
OAK BROOK, Ill. - A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in
Radiology: Cardiothoracic Imaging.
Cardiovascular disease is the leading cause of mortality worldwide. It even outpaces lung cancer as the leading cause of death in heavy smokers. ....

United States , University Of Texas Southwestern Medical Center , Noord Holland , Suhny Abbara , Nikolas Lessmann , University Medical Center Utrecht , Amsterdam University Medical Center , Image Sciences Institute , United States Preventive Services Task Force , Radiological Society Of North America Inc , National Lung Screening Trial , Learning Quantified Calcium Scores , Automatic Cardiovascular Mortality Prediction , Lung Screening Low Dose , Cardiothoracic Imaging , Texas Southwestern Medical Center , Radiological Society , North America , Oak Brook , Medicine Health , Internal Medicine , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் டெக்சாஸ் தென்மேற்கு மருத்துவ மையம் , நூற்த் ஹாலண்ட் , பல்கலைக்கழகம் மருத்துவ மையம் அட்ரெக்ட் , ஆம்ஸ்டர்டாம் பல்கலைக்கழகம் மருத்துவ மையம் ,