Department of Radiology, Shanxi Bethune Hospital, 99 Longcheng Street, Taiyuan, Shanxi 030032, China.
GE Healthcare China, Beijing, China.
Acad Radiol. 2022 Feb;29 Suppl 2:S47-S52. doi: 10.1016/j.acra.2020.10.029. Epub 2020 Nov 11.
To compare the ability of radiomics models including the perinodular parenchyma and standard nodular radiomics model in lung cancer diagnosis of solid pulmonary nodules smaller than 2 cm.
In this retrospective study, the computed tomography (CT) scans of 206 patients with a lung nodule from a single institution in 2012-2019 were collected. For each nodule, four volumes of interest were defined using the gross tumor volume (GTV) and peritumoral volumes (PTVs) of 5, 10, and 15 mm around the tumor.
Radiomics models created from GTV, GTV plus 5 mm of PTV, GTV plus 10 mm of PTV, and GTV plus 15 mm of PTV achieved AUCs of 0.89, 0.81, 0.81, and 0.73, respectively, in the validation cohort for the diagnostic classification of benign and malignant pulmonary nodules. The performance of the models gradually decreased as the PTV increased. Wavelet features were the primary features identified in optimal radiomics signatures (2/3 in R, 4/5 in GTV plus 5 mm PTV, 3/4 in GTV plus 10 mm PTV, 2/3 in GTV plus 15 mm PTV).
Our study indicated that the radiomics signatures of GTV had a good prediction ability in distinguishing benign and malignant solid pulmonary nodules smaller than 2 cm on CT. However, the radiomics feature of the surrounding parenchyma of the nodule did not enhance the effectiveness of the diagnostic model.
比较包括结节周围实质在内的放射组学模型和标准结节放射组学模型在诊断 2cm 以下肺部小结节中肺癌的能力。
本回顾性研究收集了 2012 年至 2019 年期间一家机构的 206 例肺部结节患者的 CT 扫描。对于每个结节，使用肿瘤的大体肿瘤体积（GTV）和周围 5、10 和 15mm 的肿瘤周围体积（PTV）定义四个感兴趣区域。
在验证队列中，用于诊断良性和恶性肺结节的分类，从 GTV、GTV 加 5mm 的 PTV、GTV 加 10mm 的 PTV 和 GTV 加 15mm 的 PTV 创建的放射组学模型的 AUC 分别为 0.89、0.81、0.81 和 0.73。随着 PTV 的增加，模型的性能逐渐下降。在最优放射组学特征中，小波特征是主要特征（R 中 2/3，GTV 加 5mm PTV 中 4/5，GTV 加 10mm PTV 中 3/4，GTV 加 15mm PTV 中 2/3）。
本研究表明，GTV 的放射组学特征在 CT 上对 2cm 以下的良性和恶性肺部实性小结节具有良好的预测能力。然而，结节周围实质的放射组学特征并没有增强诊断模型的有效性。
