Detection of Low Blood Hemoglobin Levels on Pulmonary CT Angiography: A Feasibility Study Combining Dual-Energy CT and Machine Learning

Detection of Low Blood Hemoglobin Levels on Pulmonary CT Angiography: A Feasibility Study Combining Dual-Energy CT and Machine Learning

Objectives: To evaluate if dual-energy CT (DECT) pulmonary angiography (CTPA) can detect anemia with the aid of machine learning. Methods: Inclusion of 100 patients (mean age ± SD, 51.3 ± 14.8 years; male-to-female ratio, 42/58) who underwent DECT CTPA and hemoglobin (Hb) analysis within 24 h, inclu...

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Bibliographic Details
Main Authors: Fernando U. Kay, Cynthia Lumby, Yuki Tanabe, Suhny Abbara, Prabhakar Rajiah
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Tomography
Subjects:
anemia
pulmonary embolism
computed tomography angiography
machine learning
Online Access:https://www.mdpi.com/2379-139X/9/4/123

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https://www.mdpi.com/2379-139X/9/4/123

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