Borghesi Andrea, Michelini Silvia, Golemi Salvatore, Scrimieri Alessandra, Maroldi Roberto
Department of Radiology, University and ASST Spedali Civili of Brescia, Piazzale Spedali Civili 1, 25123 Brescia, Italy.
Department of Radiology, Fondazione Poliambulanza Istituto Ospedaliero, Via Leonida Bissolati, 57, 25124 Brescia, Italy.
Diagnostics (Basel). 2020 Jan 21;10(2):55. doi: 10.3390/diagnostics10020055.
Pulmonary subsolid nodules (SSNs) are observed not infrequently on thin-section chest computed tomography (CT) images. SSNs persisting after a follow-up period of three to six months have a high likelihood of being pre-malignant or malignant lesions. Malignant SSNs usually represent the histologic spectrum of pulmonary adenocarcinomas, and pulmonary adenocarcinomas presenting as SSNs exhibit quite heterogeneous behavior. In fact, while most lesions show an indolent course and may grow very slowly or remain stable for many years, others may exhibit significant growth in a relatively short time. Therefore, it is not yet clear which persistent SSNs should be surgically removed and for how many years stable SSNs should be monitored. In order to solve these two open issues, the use of quantitative analysis has been proposed to define the "tailored" management of persistent SSNs. The main purpose of this review was to summarize recent results about quantitative CT analysis as a diagnostic tool for predicting the behavior of persistent SSNs. Thus, a literature search was conducted in PubMed/MEDLINE, Scopus, and Web of Science databases to find original articles published from January 2014 to October 2019. The results of the selected studies are presented and compared in a narrative way.
在胸部薄层计算机断层扫描（CT）图像上，肺部亚实性结节（SSN）并不少见。经过三到六个月的随访期后仍持续存在的SSN很可能是癌前病变或恶性病变。恶性SSN通常代表肺腺癌的组织学谱，表现为SSN的肺腺癌具有相当异质性的行为。事实上，虽然大多数病变呈惰性病程，可能生长非常缓慢或多年保持稳定，但其他病变可能在相对较短的时间内出现显著生长。因此，目前尚不清楚哪些持续存在的SSN应接受手术切除，以及稳定的SSN应监测多少年。为了解决这两个悬而未决的问题，有人提出使用定量分析来确定持续存在的SSN的“个性化”管理。本综述的主要目的是总结关于定量CT分析作为预测持续存在的SSN行为的诊断工具的最新结果。因此，我们在PubMed/MEDLINE、Scopus和Web of Science数据库中进行了文献检索，以查找2014年1月至2019年10月发表的原创文章。所选研究的结果以叙述的方式呈现并进行比较。
