Related Experiment Video

Updated: Feb 15, 2026

Voluntary Breath-hold Technique for Reducing Heart Dose in Left Breast Radiotherapy
11:38

Voluntary Breath-hold Technique for Reducing Heart Dose in Left Breast Radiotherapy

Published on: July 3, 2014

47.5K

Neoadjuvant radiotherapy provided survival benefit compared to adjuvant radiotherapy for hepatocellular carcinoma

Huapeng Lin1, Xiaocheng Li1, Ye Liu2

  • 1Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

ANZ Journal of Surgery
|February 6, 2018
PubMed
Abstract

Keywords:
Surveillance, Epidemiology and End Results databasehepatocellular carcinomapreoperative radiotherapypropensity score-matched analysissurvival

More Related Videos

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy08:54

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

15.1K
Y-90 Radioembolization and PD-1 Inhibitor as Neoadjuvant Treatment in Hepatocellular Carcinoma09:11

Y-90 Radioembolization and PD-1 Inhibitor as Neoadjuvant Treatment in Hepatocellular Carcinoma

Published on: May 24, 2024

1.2K

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
619
Benefits of Self-Esteem01:25

Benefits of Self-Esteem

Self-esteem—an individual's overall evaluation of their worth—plays a complex role in psychological functioning and well-being. It is often associated with many positive traits, such as confidence, optimism, and perseverance. Individuals with high self-esteem typically experience better sleep, manage peer pressure more effectively, and report greater life satisfaction. Conversely, low self-esteem has been consistently linked with increased risks of depression, anxiety, and poor...
215
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
749
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
437
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
844
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
643