新IASLC分级指南下无创影像预测肺浸润性非粘液腺癌的应用及进展

IF 4.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jinbao Feng, Xiaonan Shao, Jianxiong Gao, Xinyu Ge, Yan Sun, Yunmei Shi, Yuetao Wang, Rong Niu
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引用次数: 0

摘要

肺癌是全球癌症相关死亡的主要原因,侵袭性非粘液腺癌(INMA)是最常见的类型,预后较差。2020年,国际肺癌研究协会(IASLC)病理委员会提出了一种新的组织学分级系统,通过结合主要和高级组织学模式的比例,提供更精确的预后评估。准确识别肺INMA分级对临床诊断、治疗计划和预后评估至关重要。目前,非侵入性影像学方法(如CT、PET/CT、MRI)越来越多地被用于预测肺部INMA的新分级,显示出良好的应用前景。本文综述了新型IASLC分级系统的建立及预后效果,重点介绍了无创成像技术在预测肺INMA分级中的应用及最新进展,并讨论了其在肺INMA个性化治疗中的作用及未来的研究方向。关键相关性声明:新的IASLC分级系统对肺浸润性非粘液腺癌(INMA)患者的预后具有重要意义,非侵入性影像学方法可用于预测INMA,从而改善患者预后。重点:新的IASLC分级系统更准确地预测肺INMA患者的预后。由于INMA亚型的复杂性,术前预测新的分级具有挑战性。应用无创成像方法预测新的IASLC分级系统是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines.

Lung cancer is the leading cause of cancer-related deaths worldwide, with invasive non-mucinous adenocarcinoma (INMA) being the most common type and carrying a poor prognosis. In 2020, the International Association for the Study of Lung Cancer (IASLC) pathology committee proposed a new histological grading system, which offers more precise prognostic assessments by combining the proportions of major and high-grade histological patterns. Accurate identification of lung INMA grading is crucial for clinical diagnosis, treatment planning, and prognosis evaluation. Currently, non-invasive imaging methods (such as CT, PET/CT, and MRI) are increasingly being studied to predict the new grading of lung INMA, showing promising application prospects. This review outlines the establishment and prognostic efficiency of the new IASLC grading system, highlights the application and latest progress of non-invasive imaging techniques in predicting lung INMA grading, and discusses their role in personalized treatment of lung INMA and future research directions. CRITICAL RELEVANCE STATEMENT: The new IASLC grading system has important prognostic implications for patients with lung invasive non-mucinous adenocarcinoma (INMA), and non-invasive imaging methods can be used to predict it, thereby improving patient prognoses. KEY POINTS: The new IASLC grading system more accurately prognosticates for patients with lung INMA. Preoperative prediction of the new grading is challenging because of the complexity of INMA subtypes. It is feasible to apply non-invasive imaging methods to predict the new IASLC grading system.

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来源期刊
Insights into Imaging
Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
7.30
自引率
4.30%
发文量
182
审稿时长
13 weeks
期刊介绍: Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.
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