Knowledge-based Analysis for Mortality Prediction from CT Images.

08:00 EDT 7th October 2019 | BioPortfolio

Summary of "Knowledge-based Analysis for Mortality Prediction from CT Images."

Low-Dose CT (LDCT) can significantly improve the accuracy of lung cancer diagnosis and thus reduce cancer deaths compared to chest X-ray. The lung cancer risk population is also at high risk of other deadly diseases, for instance, cardiovascular diseases. Therefore, predicting the all-cause mortality risks of this population is of great importance. This paper introduces a knowledge-based analytical method using deep convolutional neural network (CNN) for all-cause mortality prediction. The underlying approach combines structural image features extracted from CNNs, based on LDCT volume in different scales, and clinical knowledge obtained from quantitative measurements, to predict the mortality risk of lung cancer screening subjects. The proposed method is referred as Knowledge-based Analysis of Mortality Prediction Network (KAMP-Net). It constitutes a collaborative framework that utilizes both imaging features and anatomical information, instead of completely relying on automatic feature extraction. Our work demonstrates the feasibility of incorporating quantitative clinical measurements to assist CNNs in all-cause mortality prediction from chest LDCT images. The results of this study confirm that radiologist defined features can complement CNNs in performance improvement. The experiments demonstrate that KAMP-Net can achieve a superior performance when compared to other methods.


Journal Details

This article was published in the following journal.

Name: IEEE journal of biomedical and health informatics
ISSN: 2168-2208


DeepDyve research library

PubMed Articles [39673 Associated PubMed Articles listed on BioPortfolio]

Relation Prediction of Co-morbid Diseases Using Knowledge Graph Completion.

Co-morbid disease condition refers to the simultaneous presence of one or more diseases along with the primary disease. A patient suffering from co-morbid diseases possess more mortality risk than wit...

Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets.

This study presents a novel methodology for estimating the concentration of environmental pollutants in water, such as pathogens, based on environmental parameters. The scientific uniqueness of this s...

Integration of dynamic contrast-enhanced magnetic resonance imaging and T2-weighted imaging radiomic features by a canonical correlation analysis-based feature fusion method to predict histological grade in ductal breast carcinoma.

Tumour histological grade has prognostic implications in breast cancer. Tumour features in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and T2-weighted (T2W) imaging can provide rela...

Original Intracerebral Hemorrhage Score for the Prediction of Short-Term Mortality in Cerebral Hemorrhage: Systematic Review and Meta-Analysis.

To systematically assess the discrimination and calibration of the Intracerebral Hemorrhage score for prediction of short-term mortality in intracerebral hemorrhage patients and to study its determina...

Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters.

The Sequential Organ Failure Assessment (SOFA) score is commonly used in ICUs around the world, designed to assess the severity of the patient's clinical state based on function/dysfunction of six maj...

Clinical Trials [12451 Associated Clinical Trials listed on BioPortfolio]

Free Text Prediction Algorithm for Appendicitis

Computer-aided diagnostic software has been used to assist physicians in various ways. Text-based prediction algorithms have been trained on past medical records through data mining and fe...

Generation of Prediction Equations to Analyze Body Composition of Obese Adults Based on BIA

The study was based on the clinical trial BCA-01 (NCT01368640) "Generation of prediction equations to analyze body composition of adults based on Bioelectrical Impedance Analysis (BIA)" an...

Ankle Brachial Index Combined With Serum Uric Acid Levels Improve Prediction All Cause Mortality and Cardiovascular Mortality in the Elderly Chinese Population

Peripheral arterial disease (PAD) is a common clinical manifestation of the systemic atherosclerotic process, and the ankle brachial index (ABI) is an ideal tool to diagnose PAD. The assoc...

The Establishment and Analysis of the Clinical Prediction Model of Acupuncture and Moxibustion for Stroke Recovery

Electronic health records of stroke convalescent patients will be selected from the third affiliated hospital of Zhejiang Chinese Medical University from January 2012 to December 2019. Rel...

Prediction Model of Response for CCRT in Esophageal Cancer

1. Retrospective review of old patients - Analysis of prediction factors for concomitant chemo-radiotherapy in locally advanced and advanced esophageal cancer from 2005 ...

Medical and Biotech [MESH] Definitions

Body of knowledge related to the use of organisms, cells or cell-derived constituents for the purpose of developing products which are technically, scientifically and clinically useful. Alteration of biologic function at the molecular level (i.e., GENETIC ENGINEERING) is a central focus; laboratory methods used include TRANSFECTION and CLONING technologies, sequence and structure analysis algorithms, computer databases, and gene and protein structure function analysis and prediction.

The molecular designing of drugs for specific purposes (such as DNA-binding, enzyme inhibition, anti-cancer efficacy, etc.) based on knowledge of molecular properties such as activity of functional groups, molecular geometry, and electronic structure, and also on information cataloged on analogous molecules. Drug design is generally computer-assisted molecular modeling and does not include pharmacokinetics, dosage analysis, or drug administration analysis.

A method of chemical analysis based on the detection of characteristic radionuclides following a nuclear bombardment. It is also known as radioactivity analysis. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)

Computer programs based on knowledge developed from consultation with experts on a problem, and the processing and/or formalizing of this knowledge using these programs in such a manner that the problems may be solved.

A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.

Quick Search

DeepDyve research library

Relevant Topics

Lung Cancer
Lung cancer is the uncontrolled cell growth in tissues of the lung. Originating in the lungs, this growth may invade adjacent tissues and infiltrate beyond the lungs. Lung cancer, the most common cause of cancer-related death in men and women, is respons...

  Bladder Cancer Brain Cancer Breast Cancer Cancer Cervical Cancer Colorectal Head & Neck Cancers Hodgkin Lymphoma Leukemia Lung Cancer Melanoma Myeloma Ovarian Cancer Pancreatic Cancer ...

Radiology is the branch of medicine that studies imaging of the body; X-ray (basic, angiography, barium swallows), ultrasound, MRI, CT and PET. These imaging techniques can be used to diagnose, but also to treat a range of conditions, by allowing visuali...

Searches Linking to this Article