An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma
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Title
An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma
Authors
Keywords
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Journal
Cancers
Volume 15, Issue 21, Pages 5303
Publisher
MDPI AG
Online
2023-11-07
DOI
10.3390/cancers15215303
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Note: Only part of the references are listed.- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
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- Predicting cancer outcomes with radiomics and artificial intelligence in radiology
- (2021) Kaustav Bera et al. Nature Reviews Clinical Oncology
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- (2020) C. Hobeika et al. BRITISH JOURNAL OF SURGERY
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- A Comparative Study of Albumin-Bilirubin Score with Child-Pugh Score, Model for End-Stage Liver Disease Score and Indocyanine Green R15 in Predicting Posthepatectomy Liver Failure for Hepatocellular Carcinoma Patients
- (2018) Heng Zou et al. DIGESTIVE DISEASES
- EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma
- (2018) Peter R. Galle et al. JOURNAL OF HEPATOLOGY
- Hepatocellular carcinoma
- (2018) Alejandro Forner et al. LANCET
- Liver failure after hepatectomy: A risk assessment using the pre-hepatectomy shear wave elastography technique
- (2017) Hong Han et al. EUROPEAN JOURNAL OF RADIOLOGY
- Nomogram for individualised prediction of liver failure risk after hepatectomy in patients with resectable hepatocellular carcinoma: the evidence from ultrasound data
- (2017) Hao Hu et al. EUROPEAN RADIOLOGY
- AASLD guidelines for the treatment of hepatocellular carcinoma
- (2017) Julie K. Heimbach et al. HEPATOLOGY
- Liver Stiffness Assessed by Shear Wave Elastography Predicts Postoperative Liver Failure in Patients with Hepatocellular Carcinoma
- (2017) Yinghao Shen et al. JOURNAL OF GASTROINTESTINAL SURGERY
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- (2017) Qi Zhang et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Albumin-bilirubinversusChild-Pugh score as a predictor of outcome after liver resection for hepatocellular carcinoma
- (2016) Y.-Y. Wang et al. BRITISH JOURNAL OF SURGERY
- A new computer aided diagnosis system for evaluation of chronic liver disease with ultrasound shear wave elastography imaging
- (2016) Ilias Gatos et al. MEDICAL PHYSICS
- Mortality in hepatectomy: Model for End-Stage Liver Disease as a predictor of death using the National Surgical Quality Improvement Program database
- (2016) Samuel W. Ross et al. SURGERY
- Shear-Wave Elastography for the Estimation of Liver Fibrosis in Chronic Liver Disease: Determining Accuracy and Ideal Site for Measurement
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- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Posthepatectomy liver failure: A definition and grading by the International Study Group of Liver Surgery (ISGLS)
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