From the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands (K.C., C.J., E.T.S., F.C., P.K.G., M.P., B.v.G., C.M.S.P.); Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (J.M.G.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria (H.P.); Division of Radiology, Department of Clinical Sciences, University of Parma, Parma, Italy (N.S.); Department of Radiology, University Medical Center Utrecht, the Netherlands (O.M.M.); and Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands (C.M.S.P.).
Radiology. 2017 Jul;284(1):264-271. doi: 10.1148/radiol.2017161624. Epub 2017 Mar 24.
Purpose To evaluate the added value of Lung CT Screening Reporting and Data System (Lung-RADS) assessment category 4X over categories 3, 4A, and 4B for differentiating between benign and malignant subsolid nodules (SSNs). Materials and Methods SSNs on all baseline computed tomographic (CT) scans from the National Lung Cancer Trial that would have been classified as Lung-RADS category 3 or higher were identified, resulting in 374 SSNs for analysis. An experienced screening radiologist volumetrically segmented all solid cores and located all malignant SSNs visible on baseline scans. Six experienced chest radiologists independently determined which nodules to upgrade to category 4X, a recently introduced category for lesions that demonstrate additional features or imaging findings that increase the suspicion of malignancy. Malignancy rates of purely size-based categories and category 4X were compared. Furthermore, the false-positive rates of category 4X lesions were calculated and observer variability was assessed by using Fleiss κ statistics. Results The observers upgraded 15%-24% of the SSNs to category 4X. The malignancy rate for 4X nodules varied from 46% to 57% per observer and was substantially higher than the malignancy rates of categories 3, 4A, and 4B SSNs without observer intervention (9%, 19%, and 23%, respectively). On average, the false-positive rate for category 4X nodules was 7% for category 3 SSNs, 7% for category 4A SSNs, and 19% for category 4B SSNs. Of the falsely upgraded benign lesions, on average 27% were transient. The agreement among the observers was moderate, with an average κ value of 0.535 (95% confidence interval: 0.509, 0.561). Conclusion The inclusion of a 4X assessment category for lesions suspicious for malignancy in a nodule management tool is of added value and results in high malignancy rates in the hands of experienced radiologists. Proof of the transient character of category 4X lesions at short-term follow-up could avoid unnecessary invasive management. RSNA, 2017.
目的 评估 Lung CT Screening Reporting and Data System(Lung-RADS)评估类别 4X 相较于类别 3、4A 和 4B 在区分良性和恶性亚实性结节(SSN)方面的附加价值。
材料与方法 从 National Lung Cancer Trial 中筛选出所有基线计算机断层扫描(CT)上被归类为 Lung-RADS 类别 3 或更高的 SSN,共分析了 374 个 SSN。一位有经验的筛查放射科医生对所有实性核心进行了容积分割,并定位了基线扫描上可见的所有恶性 SSN。6 位有经验的胸部放射科医生独立决定将哪些结节升级为 4X 类别,这是最近引入的一个类别,用于描述显示出增加恶性嫌疑的其他特征或影像学表现的病变。比较了基于单纯大小的类别和 4X 类别的恶性率。此外,计算了 4X 类病变的假阳性率,并使用 Fleiss κ 统计评估了观察者的可变性。
结果 观察者将 15%-24%的 SSN 升级为 4X 类别。每个观察者 4X 结节的恶性率为 46%-57%,明显高于观察者未干预的 3 类、4A 类和 4B 类 SSN 的恶性率(分别为 9%、19%和 23%)。平均而言,对于 3 类 SSN,4X 类结节的假阳性率为 7%,对于 4A 类 SSN,为 7%,对于 4B 类 SSN,为 19%。在被错误升级的良性病变中,平均有 27%为一过性病变。观察者之间的一致性为中等,平均 κ 值为 0.535(95%置信区间:0.509,0.561)。
结论 在结节管理工具中纳入疑似恶性病变的 4X 评估类别具有附加价值,并导致经验丰富的放射科医生手中的恶性率较高。在短期随访中证明 4X 类病变的一过性特征可以避免不必要的侵袭性管理。
RSNA,2017 年。