Literature DB >> 31361207

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

Hyungjin Kim1, Jin Mo Goo1, Young Tae Kim1, Chang Min Park1.   

Abstract

BackgroundPathologic 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.PurposeTo 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 MethodsThis 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 multivariable Cox regression analysis, respectively.ResultsThe 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. Multivariable 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).ConclusionCT 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.© RSNA, 2019Online supplemental material is available for this article.See also the editorial by Nishino in this issue.

Entities:  

Year:  2019        PMID: 31361207     DOI: 10.1148/radiol.2019190297

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Visceral pleural invasion: predictable on CT?

Authors:  Annemiek Snoeckx
Journal:  Quant Imaging Med Surg       Date:  2019-12

2.  The combination of computed tomography features and circulating tumor cells increases the surgical prediction of visceral pleural invasion in clinical T1N0M0 lung adenocarcinoma.

Authors:  Jinghan Shi; Fei Li; Fujun Yang; Zhengwei Dong; Yan Jiang; Dania Nachira; Justyna Chalubinska-Fendler; Terence T Sio; Yo Kawaguchi; Hiromitsu Takizawa; Xiao Song; Yang Hu; Liang Duan
Journal:  Transl Lung Cancer Res       Date:  2021-11

3.  The prognosis of different types of pleural tags based on radiologic-pathologic comparison.

Authors:  Yao Meng; Jie Gao; Xidong Ma; Chongchong Wu; Mei Xie; Xuelei Zang; Jialin Song; Meng Zhou; Shikun Guo; Yemei Huang; Hengyu Deng; Hongli Li; Bo Wei; Xinying Xue
Journal:  BMC Cancer       Date:  2022-08-25       Impact factor: 4.638

4.  Prediction of Pleural Invasion in Challenging Non-Small-Cell Lung Cancer Patients Using Serum and Imaging Markers.

Authors:  Kaibin Zhu; Lantao Chen; Changjun He; Yaoguo Lang; Xianglong Kong; Changfa Qu; Shidong Xu
Journal:  Dis Markers       Date:  2020-02-07       Impact factor: 3.434

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.