Feng Jinbao, Shao Xiaonan, Gao Jianxiong, Ge Xinyu, Sun Yan, Shi Yunmei, Wang Yuetao, Niu Rong
Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Insights Imaging. 2025 Jan 2;16(1):4. doi: 10.1186/s13244-024-01877-4.
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.
肺癌是全球癌症相关死亡的主要原因,其中浸润性非黏液腺癌(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,该系统通过结合主要和高级别组织学模式的比例提供更精确的预后评估。准确识别肺INMA分级对于临床诊断、治疗计划和预后评估至关重要。目前,非侵入性成像方法(如CT、PET/CT和MRI)越来越多地被用于预测肺INMA的新分级,显示出有前景的应用前景。本文综述概述了IASLC新分级系统的建立及其预后效能,强调了非侵入性成像技术在预测肺INMA分级中的应用及最新进展,并讨论了它们在肺INMA个体化治疗中的作用和未来研究方向。关键相关性声明:IASLC新分级系统对肺浸润性非黏液腺癌(INMA)患者具有重要的预后意义,非侵入性成像方法可用于预测,从而改善患者预后。要点:IASLC新分级系统能更准确地预测肺INMA患者的预后。由于INMA亚型的复杂性,术前预测新分级具有挑战性。应用非侵入性成像方法预测IASLC新分级系统是可行的。