文章：

乳腺癌患者亚临床与临床多器官功能衰竭的预测——基于人工智能工具的综述

Prediction of Subclinical and Clinical Multiple Organ Failure Dysfunction in Breast Cancer Patients—A Review Using AI Tools

原文发布日期：16 January 2024

DOI: 10.3390/cancers16020381

类型: Article

开放获取: 是

英文摘要：

This review explores the interconnection between precursor lesions of breast cancer (typical ductal hyperplasia, atypical ductal/lobular hyperplasia) and the subclinical of multiple organ failure syndrome, both representing early stages marked by alterations preceding clinical symptoms, undetectable through conventional diagnostic methods. Addressing the question “Why patients with breast cancer exhibit a tendency to deteriorate”, this study investigates the biological progression from a subclinical multiple organ failure syndrome, characterized by insidious but indisputable lesions, to an acute (clinical) state resembling a cascade akin to a waterfall or domino effect, often culminating in the patient’s demise. A comprehensive literature search was conducted using PubMed, Google Scholar, and Scopus databases in October 2023, employing keywords such as “MODS”, “SIRS”, “sepsis”, “pathophysiology of MODS”, “MODS in cancer patients”, “multiple organ failure”, “risk factors”, “cancer”, “ICU”, “quality of life”, and “breast cancer”. Supplementary references were extracted from the retrieved articles. This study emphasizes the importance of early identification and prevention of the multiple organ failure cascade at the inception of the malignant state, aiming to enhance the quality of life and extend survival. This pursuit contributes to a deeper understanding of risk factors and viable therapeutic options. Despite the existence of the subclinical multiple organ failure syndrome, current diagnostic methodologies remain inadequate, prompting consideration of AI as an increasingly crucial tool for early identification in the diagnostic process.

摘要翻译： 

本综述探讨了乳腺癌前驱病变（典型导管增生、非典型导管/小叶增生）与多器官功能衰竭综合征亚临床状态之间的关联。两者均代表临床症状出现前的早期阶段，其特征为常规诊断方法难以检测的病理改变。针对“为何乳腺癌患者病情易出现恶化趋势”这一问题，本研究从生物学进展角度，探究了从具有隐匿性但确凿病理改变的亚临床多器官功能衰竭综合征，向急性（临床）状态发展的过程。该过程类似于瀑布或多米诺骨牌效应的级联反应，常最终导致患者死亡。本研究于2023年10月通过PubMed、Google Scholar和Scopus数据库进行了系统的文献检索，使用的关键词包括“MODS”、“SIRS”、“脓毒症”、“MODS病理生理学”、“癌症患者MODS”、“多器官功能衰竭”、“危险因素”、“癌症”、“ICU”、“生活质量”及“乳腺癌”。从检索到的文献中提取了补充参考文献。本研究强调在恶性状态起始阶段早期识别和预防多器官功能衰竭级联反应的重要性，旨在提高患者生活质量并延长生存期。这一研究方向有助于深入理解危险因素及可行的治疗方案。尽管亚临床多器官功能衰竭综合征确实存在，当前诊断方法仍显不足，这促使我们考虑将人工智能作为诊断过程中日益重要的早期识别工具。

原文链接：

Prediction of Subclinical and Clinical Multiple Organ Failure Dysfunction in Breast Cancer Patients—A Review Using AI Tools