标准或瘤保护乳腺手术后的存活率与乳腺癌乳腺切除术后的存活率

Mhairi Mactier1,2, James Mansell3, Laura Arthur4

  • 1Wolfson Wohl Cancer Research Centre, College of Medicine and Veterinary Science, University of Glasgow, Glasgow, UK.

BJS open
|March 19, 2025
PubMed
概括

与放射疗法进行的乳腺保护手术,包括瘤塑料技术,与乳腺切除术相比,为乳腺癌患者提供更好的生存结果. 这一发现支持乳腺保护性手术作为首选的治疗选择,改善了整体和乳腺癌特异性生存率.

相关概念视频

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...
110
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
315
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
71