Prediction for recurrent non-muscle invasive bladder cancer.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Keqiang Li, Aravind Raveendran, Guoqing Xie, Yu Zhang, Haofan Wu, Zhenlin Huang, Zhankui Jia, Jinjian Yang
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引用次数: 0

Abstract

Non-muscle invasive bladder cancer (NMIBC) has a high recurrence rate, which places a significant burden on both patients and the healthcare system. Hence, it holds significant importance to predict the recurrence risk following treatment for individuals diagnosed with non-muscle invasive bladder cancer (NMIBC). As new generation technologies continue to emerge, an increasing number of recurrence risk prediction tools are being developed and discovered. This article provides an overview of the primary recurrence risk prediction tools currently available, including the liquid biopsy, tissue biopsy, and risk prediction tables. Each of these tools is described in detail and illustrated with relevant examples. Furthermore, we conduct an analysis of the advantages and disadvantages of these tools. This article aims to enhance the reader's understanding of the current progress in recurrence prediction tools and encourage their practical utilization in the fields of precision medicine and public health.

非肌性浸润性膀胱癌复发的预测。
非肌肉浸润性膀胱癌(NMIBC)具有很高的复发率,这给患者和医疗保健系统带来了巨大的负担。因此,对诊断为非肌肉浸润性膀胱癌(NMIBC)的个体进行治疗后的复发风险预测具有重要意义。随着新一代技术的不断涌现,越来越多的复发风险预测工具正在被开发和发现。本文概述了目前可用的主要复发风险预测工具,包括液体活检、组织活检和风险预测表。详细描述了每一种工具,并使用相关示例进行了说明。此外,我们还对这些工具的优缺点进行了分析。本文旨在提高读者对复发预测工具的最新进展的理解,并鼓励其在精准医学和公共卫生领域的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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