Herrera Ortiz Andrés Felipe, Garland Mateo E, Almarie Bassel
Radiology, Fundación Santa Fe de Bogotá, Bogotá, COL.
Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Cureus. 2022 May 29;14(5):e25446. doi: 10.7759/cureus.25446. eCollection 2022 May.
Epidermal Growth Factor Receptor (EGFR) mutations in lung adenocarcinoma have been previously associated with specific clinical characteristics and Computed Tomography (CT) patterns. However, associations among individual EGFR mutations have not been evaluated. We aim to differentiate if the most common EGFR mutations (exon 21 and 19) are related to specific clinical characteristics or CT patterns. A systematic review and meta-analysis of 5 databases were conducted with literature from January 2002 to July 2021. Eligible studies were of an experimental or observational design that included lung adenocarcinoma patients with confirmed EGFR exon mutations (21 and 19) and associated clinical characteristics and CT imaging patterns. Quality was assessed using the QUADAS-2 tool. The association between clinical and CT patterns and EGFR exon mutations 21 and 19 was evaluated using odds ratios (OR) and then pooled and analyzed with a fixed or random-effects model. This study follows the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines. A total of 12 retrospective diagnostic accuracy studies were included. Pooled analysis showed that characteristics such as absence of smoking status (OR 1.29 [95% CI 0.97 - 1.70]), and female sex (OR 1.23 [95% CI 0.83 - 1.82]); and CT patterns such as Ground Glass Opacities (GGO) (OR 1.03 [95% CI 0.78 -1.34]), air bronchogram (OR 0.78 [95% CI 0.44 -1.39]), pleural retraction (OR 0.83 [95% CI 0.53 - 1.28]), and spiculation (OR 0.80 [95% CI 0.48 - 1.31]) were not significantly associated to a specific mutation. Specific EGFR exon 21 and 19 mutations cannot be differentiated through characteristics (absence of smoking status and female sex) or radiological patterns (GGO, air bronchogram, pleural retraction, and speculation). There is limited data to assess if early disease stage or vascular convergence aids in differentiating exon 21 from 19 mutations in patients with lung adenocarcinoma.
肺腺癌中的表皮生长因子受体(EGFR)突变先前已与特定的临床特征和计算机断层扫描(CT)模式相关联。然而,尚未评估各个EGFR突变之间的关联。我们旨在区分最常见的EGFR突变(外显子21和19)是否与特定的临床特征或CT模式相关。对5个数据库进行了系统评价和荟萃分析,纳入了2002年1月至2021年7月的文献。符合条件的研究为实验性或观察性设计,纳入了确诊为EGFR外显子突变(21和19)及相关临床特征和CT成像模式的肺腺癌患者。使用QUADAS-2工具评估质量。使用优势比(OR)评估临床和CT模式与EGFR外显子21和19突变之间的关联,然后采用固定效应或随机效应模型进行汇总和分析。本研究遵循系统评价和荟萃分析的首选报告项目(PRISMA)指南。共纳入12项回顾性诊断准确性研究。汇总分析表明,诸如无吸烟状态(OR 1.29 [95%CI 0.97 - 1.70])和女性(OR 1.23 [95%CI 0.83 - 1.82])等特征;以及诸如磨玻璃影(GGO)(OR 1.03 [95%CI 0.78 -1.34])、空气支气管征(OR 0.78 [95%CI 0.44 -1.39])、胸膜凹陷(OR 0.83 [95%CI 0.53 - 1.28])和毛刺征(OR 0.80 [95%CI 0.48 - 1.31])等CT模式与特定突变无显著关联。无法通过特征(无吸烟状态和女性)或放射学模式(GGO、空气支气管征、胸膜凹陷和毛刺征)区分特定的EGFR外显子21和19突变。评估疾病早期阶段或血管集束是否有助于区分肺腺癌患者外显子21和19突变的数据有限。