CT-defined Visceral Pleural Invasion in T1 Lung Adenocarcinoma: Lack of Relationship to Disease-Free Survival

被引:45
作者
Kim, Hyungjin [1 ,3 ,4 ]
Goo, Jin Mo [1 ,3 ]
Kim, Young Tae [2 ,4 ]
Park, Chang Min [1 ,3 ,4 ]
机构
[1] Seoul Natl Univ, Coll Med, Dept Radiol, 101 Daehak Ro, Seoul 03080, South Korea
[2] Seoul Natl Univ, Coll Med, Dept Thorac & Cardiovasc Surg, 101 Daehak Ro, Seoul 03080, South Korea
[3] Seoul Natl Univ, Inst Radiat Med, Med Res Ctr, Seoul, South Korea
[4] Seoul Natl Univ, Canc Res Inst, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
TNM CLASSIFICATION; CANCER; NODULES; EDITION; TUMOR; SIZE;
D O I
10.1148/radiol.2019190297
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Pathologic visceral pleural invasion (pVPI) leads to upstaging from T1 to T2. However, it is unclear whether the CT features for pVPI can be reliably used as a clinical T2 descriptor for preoperative staging. Purpose: To validate the diagnostic accuracy and analyze the prognostic value of CT findings for the prediction of pVPI in patients with resected node-negative lung adenocarcinoma. Materials and Methods: This retrospective cohort study included clinical T1N0M0 adenocarcinomas resected between 2009 and 2015. The diagnostic CT findings suggestive of pVPI were evaluated by a thoracic radiologist. The accuracy of diagnostic CT findings in relation to pVPI and accuracy for disease-free survival (DFS) were evaluated by using test performance metrics and multi-variable Cox regression analysis, respectively. Results: The authors analyzed 695 patients (median age, 63 years; 411 women). Data for pVPI were not available in six patients.The accuracy of CT features for pVPI ranged from 62.7% (432 of 689 patients) to 72.3% (498 of 689 patients). Positive predictive values ranged from 44.1% (173 of 392 patients) to 56.4% (88 of 156 patients), which indicated that about half of the CT-based predictions were false-positive. Multi-variable Cox regression models showed that none of the combinations of CT findings were independent predictors of DFS (adjusted hazard ratios, 1.40, 1.48, 1.06, and 1.21 for each combination; P > . 05 for all). In addition, pVPI was not an independent prognostic factor (adjusted hazard ratio, 1.27; P = .26), whereas age and clinical T category were independent prognostic factors in all Cox models (P < . 05 for all). Conclusion: CT features of pathologic visceral pleural invasion (pVPI) have an accuracy of 62.7%-72.3%. CT features of pVPI were not independent prognostic factors for disease-free survival in clinical T1 lung adenocarcinomas. This argues against the use of CT features of visceral pleural invasion as T2 descriptors in the clinical staging of lung cancer. (C) RSNA, 2019
引用
收藏
页码:741 / 749
页数:9
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