№ files_lp_4_process_3_111235
File format: docx Character count: 28032 File size: 2012 KB
Year: 2021-2023
Country: China
Region / City: Changsha, Hunan
Topic: Hepatocellular carcinoma, microvascular invasion prediction
Document type: Research article
Institution: Hunan Provincial People’s Hospital and The First Affiliated Hospital of Hunan Normal University
Authors: Chuanlin Yu, QianBiao Gu, Peng Liu, YaQiong He
Corresponding author: YaQiong He
Methodology: Retrospective analysis, dual-energy CT, radiomics, logistic regression
Sample size: 145 patients
Cohorts: Training cohort 101 cases, validation cohort 44 cases
Clinical features analyzed: Gender, tumor size, laboratory tests
Imaging features analyzed: DECT quantitative parameters, portal venous phase, virtual monoenergetic images
Outcome measures: Microvascular invasion (MVI) prediction
Key findings: Combined clinical-radiomics model shows highest predictive performance for MVI
Application: Preoperative prediction in hepatocellular carcinoma patients
Type of source: Scientific research article
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Clinical outcomes in patients with primary stable microvascular angina: is the Jury still out?
Year: 2026
Region / City: Rome, London
Topic: Microvascular Angina, Cardiovascular Health
Document Type: Research Article
Institution / Organization: Università Cattolica del Sacro Cuore, St. George’s University of London
Author: Gaetano Antonio Lanza, Filippo Crea, Juan Carlos Kaski
Target Audience: Healthcare professionals, researchers in cardiology
Period of Action: N/A
Date of Approval: N/A
Date of Changes: N/A
Note: Description
Microvascular Disease and Risk of Cardiovascular Events Among Individuals With Type 2 Diabetes: a Population-Level Cohort Study
Year: 2022
Region / City: UK
Topic: Microvascular disease, cardiovascular disease, diabetes, cohort study
Document Type: Research Study
Organization / Institution: St George’s University of London, University College London, University of Surrey, Imperial College London
Author: Brownrigg JRW, Hughes CO, Burleigh D, Karthikesalingam A, Patterson BO, Holt PJ, Thompson MM, de Lusignan S, Ray KK, Hinchliffe RJ
Target Audience: Medical professionals, researchers in diabetes and cardiovascular diseases
Period of Study: 2000–2015
Date of Approval: 2022
Date of Revisions: 2022
Figures and Analytical Workflow for Prenatal Prediction of Hypoplastic Left Heart Syndrome Using Ultrasound and a Multimodal Nomogram
Field: Fetal cardiology
Topic: Prenatal prediction of hypoplastic left heart syndrome (HLHS)
Document type: Figure captions
Imaging modality: Ultrasound (four-chamber view)
Analytical approach: Multimodal nomogram
Machine learning models: Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), XGBoost
Neural network architecture: Residual Variational Autoencoder (RVAE)
Data types: Demographic characteristics; morphological cardiac characteristics; ultrasound image features
Key anatomical structures: Left atrium (LA); right atrium (RA); left ventricle (LV); right ventricle (RV)
Evaluation methods: ROC curve analysis; Decision Curve Analysis (DCA); cross-correlation analysis
Visualization methods: Grad-CAM heatmaps; box plots; workflow diagrams
Study population: Fetuses undergoing prenatal ultrasound examination
Example gestational ages: 25 weeks gestation; 27 weeks gestation
Clinical focus: Prenatal risk assessment of hypoplastic left heart syndrome
Nomogram score and probability calculator of high-burnout among nurses
Year: 2026
Region / Hospital type: Not specified
Topic: Nurse burnout risk assessment
Document type: Appendix / Risk calculator
Organization: Not specified
Author: Not specified
Target audience: Healthcare professionals
Variables included: Alcohol consumption, Health status, Stress levels, PHQ-2 score, Shift work, Weekly work hours, Workplace violence
Scoring method: Nomogram
Interpretation threshold: High-burnout probability >14%
Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma
Year: 2021
Region / City: Guangzhou and Chengdu, China
Topic: Hepatocellular carcinoma, transarterial chemoembolization, radiomics
Document Type: Original research article
Institution: Nanfang Hospital, Southern Medical University; Affiliated Hospital of Chengdu University
Authors: Xiang-Ke Niu, Xiao-Feng He
Target Audience: Medical researchers, interventional radiologists, oncologists
Study Period: March 2009 – March 2016
Received Date: November 2, 2020
Revised Date: December 7, 2020
Accepted Date: December 16, 2020
Published Online: January 14, 2021
Funding: Health and Family Planning Commission of Sichuan Province, China, No. 17PJ430 and No. 18PJ150
Methodology: Retrospective study, CT-based radiomics analysis, nomogram construction, validation with external cohort
Sample Size: Training dataset n = 137; Validation dataset n = 81
Key Findings: CT-based radiomics nomogram predicts TACE refractoriness and stratifies patients into high- and low-risk groups with different survival outcomes
Keywords: Hepatocellular carcinoma, Transarterial chemoembolization, Refractoriness, Radiomics, Nomogram, Computed tomography
Topics: dual-energy microvascular Nomogram