Department of Radiology, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 1 Singil-Ro, Yeongdeungpo-Gu, Seoul, 07441, Republic of Korea.
Department of Nuclear Medicine, Dankook University Medical Center, Cheonan, Chungnam, Republic of Korea.
Ann Nucl Med. 2024 Sep;38(9):754-762. doi: 10.1007/s12149-024-01944-2. Epub 2024 May 25.
Predicting the malignancy of pure ground-glass nodules (GGNs) using CT is challenging. The optimal role of [F]FDG PET/CT in this context has not been clarified. We compared the performance of [F]FDG PET/CT in evaluating GGNs for predicting invasive adenocarcinomas (IACs) with CT.
From June 2012 to December 2020, we retrospectively enrolled patients with pure GGNs on CT who underwent [F]FDG PET/CT within 90 days. Overall, 38 patients with 40 ≥ 1-cm GGNs were pathologically confirmed. CT images were analyzed for size, attenuation, uniformity, shape, margin, tumor-lung interface, and internal/surrounding characteristics. Visual [F]FDG positivity, maximum standardized uptake value (SUV), and tissue fraction-corrected SUV (SUV) were evaluated on PET/CT.
The histopathology of the 40 GGNs were: 25 IACs (62.5%), 9 minimally invasive adenocarcinomas (MIA, 22.5%), and 6 adenocarcinomas in situ (AIS, 15.0%). No significant differences were found in CT findings according to histopathology, whereas visual [F]FDG positivity, SUV, and SUV were significantly different (P=0.001, 0.033, and 0.018, respectively). The size, visual [F]FDG positivity, SUV, and SUV showed significant diagnostic performance to predict IACs (area under the curve=0.693, 0.773, 0.717, and 0.723, respectively; P=0.029, 0.001, 0.018, and 0.013, respectively). In the multivariate logistic regression analysis, visual [F]FDG positivity discriminated IACs among GGNs among various CT and PET findings (P=0.008).
[F]FDG PET/CT demonstrated superior diagnostic performance compared to CT in differentiating IAC from AIS/MIA among pure GGNs, thus it has the potential to guide the proper management of patients with pure GGNs.
使用 CT 预测纯磨玻璃结节(GGN)的恶性程度具有挑战性。[F]FDG PET/CT 在这种情况下的最佳作用尚未明确。我们比较了 [F]FDG PET/CT 在评估 GGN 以预测浸润性腺癌(IAC)方面的性能与 CT。
从 2012 年 6 月至 2020 年 12 月,我们回顾性纳入了 CT 上有纯 GGN 且在 90 天内进行 [F]FDG PET/CT 的患者。共有 38 例 40 个≥1cm 的 GGN 患者进行了病理证实。对 CT 图像进行大小、衰减、均匀性、形状、边缘、肿瘤-肺界面以及内部/周围特征的分析。对 PET/CT 上的视觉[F]FDG 阳性、最大标准化摄取值(SUV)和组织分数校正的 SUV(SUV)进行评估。
40 个 GGN 的组织病理学结果为:25 例 IAC(62.5%)、9 例微浸润性腺癌(MIA,22.5%)和 6 例原位腺癌(AIS,15.0%)。根据组织病理学,CT 表现无显著差异,而视觉[F]FDG 阳性、SUV 和 SUV 差异显著(P=0.001、0.033 和 0.018)。大小、视觉[F]FDG 阳性、SUV 和 SUV 对预测 IAC 具有显著的诊断性能(曲线下面积分别为 0.693、0.773、0.717 和 0.723;P=0.029、0.001、0.018 和 0.013)。在多变量逻辑回归分析中,视觉[F]FDG 阳性可区分 GGN 中的 IAC 与 AIS/MIA(P=0.008)。
与 CT 相比,[F]FDG PET/CT 在区分纯 GGN 中的 IAC 与 AIS/MIA 方面具有更高的诊断性能,因此它有可能指导纯 GGN 患者的适当管理。