ArticleScientific reports2021
A deep-learning method using computed tomography scout images for estimating patient body weight.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction.Tomography (Ann Arbor, Mich.) · 2023Pooled it
- Dose-report-driven body weight estimation in diagnostic CT using a practical machine learning framework.Radiological physics and technology · 2026Article
- AI-based organ weight estimation from postmortem computed tomography.Scientific reports · 2026Article
- Automatic Personal Identification Using a Single MRI Slice.Bioengineering (Basel, Switzerland) · 2026Article
- Automated scout-image-based estimation of contrast agent dosing: a deep learning approach.BMC medical imaging · 2026Article
- Contrast dose determination using effective diameter in patients of unknown weight for dynamic computed tomography of the upper abdomen: a feasibility study.Radiological physics and technology · 2026Article
- Automated body weight measurement using computed tomography.Scientific reports · 2025Article
- Inferring Body Measurements from 2D Images: A Comprehensive Review.Journal of imaging · 2025Review
- Machine learning-based estimation of patient body weight from radiation dose metrics in computed tomography.Journal of applied clinical medical physics · 2024Article
- Development and Validation of a Deep-Learning-Based Algorithm for Detecting and Classifying Metallic Implants in Abdominal and Spinal CT Topograms.Diagnostics (Basel, Switzerland) · 2024Article
- Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning.Scientific reports · 2023Article
- Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management.Journal of applied clinical medical physics · 2023Article
- Estimation of Left and Right Ventricular Ejection Fractions from cine-MRI Using 3D-CNN.Sensors (Basel, Switzerland) · 2023Article
- Prediction of body weight from chest radiographs using deep learning with a convolutional neural network.Radiological physics and technology · 2023Article
- Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics.Healthcare (Basel, Switzerland) · 2022Article
- Toward automatic reformation at the orbitomeatal line in head computed tomography using object detection algorithm.Physical and engineering sciences in medicine · 2022Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Body weight is an indispensable parameter for determination of contrast medium dose, appropriate drug dosing, or management of radiation dose. However, we cannot always determine the accurate patient body weight at the time of computed tomography (CT) scanning, especially in emergency care. Time-efficient methods to estimate body weight with high accuracy before diagnostic CT scans currently do not exist. In this study, on the basis of 1831 chest and 519 abdominal CT scout images with the corresponding body weights, we developed and evaluated deep-learning models capable of automatically predicting body weight from CT scout images. In the model performance assessment, there were strong correlations between the actual and predicted body weights in both chest (ρ = 0.947, p < 0.001) and abdominal datasets (ρ = 0.869, p < 0.001). The mean absolute errors were 2.75 kg and 4.77 kg for the chest and abdominal datasets, respectively. Our proposed method with deep learning is useful for estimating body weights from CT scout images with clinically acceptable accuracy and potentially could be useful for determining the contrast medium dose and CT dose management in adult patients with unknown body weight.
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