Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines

被引:0
|
作者
Feng, Jinbao [1 ]
Shao, Xiaonan [1 ]
Gao, Jianxiong [1 ]
Ge, Xinyu [1 ]
Sun, Yan [1 ]
Shi, Yunmei [1 ]
Wang, Yuetao [1 ]
Niu, Rong [1 ]
机构
[1] Soochow Univ, Peoples Hosp Changzhou 1, Affiliated Hosp 3, Inst Clin Translat Nucl Med & Mol Imaging,Changzho, Changzhou, Peoples R China
来源
INSIGHTS INTO IMAGING | 2025年 / 16卷 / 01期
关键词
Lung neoplasm; Invasive non-mucinous adenocarcinoma; IASLC grading; Imaging; HEALTH-ORGANIZATION CLASSIFICATION; INTERNATIONAL-ASSOCIATION; PULMONARY ADENOCARCINOMA; CANCER; IMPACT; PATTERN; SYSTEM; SURVIVAL; MRI; MICROPAPILLARY;
D O I
10.1186/s13244-024-01877-4
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
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页数:16
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