Thoracic Surgery Division, The Ohio State University Wexner Medical Center, Columbus, OH.
Center for Biostatistics, The Ohio State University, Columbus, OH.
Clin Lung Cancer. 2023 May;24(3):e134-e140. doi: 10.1016/j.cllc.2022.12.009. Epub 2022 Dec 27.
We sought to assess the prevalence and clinical predictors of satellite nodules in patients undergoing lobectomy for clinical stage Ia disease.
The National Cancer Database was queried for patients who underwent lobectomy for clinical stage cT1N0 NSCLC. Collaborative staging information was used to identify patients who were pathologically upstaged based on having separate tumor nodules in the same lobe as the primary tumor. Multivariable logistic regression was used to assess the association of clinical factors with the detection of separate nodules.
A separate tumor nodule was recorded in 2.8% (n = 1284) of 45,842 clinical stage Ia patients treated with lobectomy or bilobectomy. Female gender (3.1% vs. male 2.5%; P = .002) and non-squamous histology (adenocarcinoma 3.2% and large cell neuroendocrine 3.0% vs. squamous cell 1.9% tumors; P < .001) were associated with the presence of separate nodules. The frequency increased for tumors larger than 3 cm (≤ 3cm, 2.7% vs. > 3cm, 3.8%; P < .001). Other factors associated with separate nodules were upper lobe location, pleural and/or lymphovascular invasion and occult lymph node disease. The best predictive model for separate nodules based on the available clinical variables resulted in an area under the curve of 0.645 (95% CI 0.629-0.660).
Separate tumor nodules may be detected with a low but relatively consistent frequency across the spectrum of patients with clinical stage Ia NSCLC. The predictive ability using basic clinical factors in the database is limited.
我们旨在评估临床Ⅰa 期疾病行肺叶切除术患者中卫星结节的发生率和临床预测因素。
国家癌症数据库中检索了行肺叶切除术治疗临床 T1N0 期非小细胞肺癌的患者。协作分期信息用于识别因同一肺叶原发性肿瘤旁有单独肿瘤结节而病理分期升级的患者。多变量逻辑回归用于评估临床因素与单独结节检测的相关性。
45842 例临床Ⅰa 期行肺叶切除术或双肺叶切除术的患者中,有 1284 例(2.8%)记录有单独肿瘤结节。女性(3.1%比男性 2.5%;P =.002)和非鳞状组织学(腺癌 3.2%和大细胞神经内分泌癌 3.0%比鳞状细胞癌 1.9%;P <.001)与单独结节的存在相关。肿瘤直径大于 3cm(≤3cm,2.7%比>3cm,3.8%;P <.001)的频率增加。其他与单独结节相关的因素包括上叶位置、胸膜和/或血管侵犯以及隐匿性淋巴结疾病。基于现有临床变量的单独结节最佳预测模型的曲线下面积为 0.645(95%CI 0.629-0.660)。
在临床Ⅰa 期非小细胞肺癌患者中,可能会以较低但相对一致的频率检测到单独肿瘤结节。数据库中使用基本临床因素的预测能力有限。