Literature DB >> 31394576

Volume-Based Consolidation-to-Tumor Ratio Is a Useful Predictor for Postoperative Upstaging in Stage I and II Lung Adenocarcinomas.

Masanori Shimomura1, Masashi Iwasaki1, Shunta Ishihara2, Masayoshi Inoue2.   

Abstract

BACKGROUND: We investigated the postoperative upstaging of stage I and II lung adenocarcinoma patients to identify useful predictors for accurate staging.
METHODS: We retrospectively reviewed data from 80 consecutive patients undergoing lobectomy and mediastinal lymph node dissection for clinical stage I and II lung adenocarcinomas. We evaluated clinical variables, including the preoperative serum carcinoembryonic antigen (CEA), tumor diameter, consolidation-to-tumor ratio (CTR), maximum standardized uptake value (SUVmax) on FDG- PET, expression of epithelial growth factor receptor mutations, and pathological invasion to the pleura (pl), lymph duct (ly), and vein (v).
RESULTS: Eleven patients (13.8%) showed postoperative upstaging. Three cases had pN1 migrating from cN0, four cases had pN2 from cN0, and four cases showed malignant pleural effusion. The CEA level and CTR were significantly higher in the upstaging group. The tumors in the upstaging group showed more frequent pathological invasion to the visceral pleura and vein. In patients with 3 cm or smaller consolidation, two-dimensional (2D)-CTR and volume-based CTR were independent predictors of upstaging.
CONCLUSIONS: Volume-based CTR could be a useful predictor for accurate clinical staging in stage I and II adenocarcinoma patients in addition to consolidation size, serum CEA level, and 2D-CTR. Both volume-based and 2D-CTRs might be especially useful in T1 diseases. Thieme. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31394576     DOI: 10.1055/s-0039-1694061

Source DB:  PubMed          Journal:  Thorac Cardiovasc Surg        ISSN: 0171-6425            Impact factor:   1.827


  2 in total

1.  The clinical significance of ground glass opacities in lung adenocarcinoma in the era of UICC-TNM classification ver.8.

Authors:  Masayoshi Inoue; Masanori Shimomura
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

2.  Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study.

Authors:  Guangyu Tao; Li Zhu; Qunhui Chen; Lekang Yin; Yamin Li; Jiancheng Yang; Bingbing Ni; Zheng Zhang; Chi Wan Koo; Pradnya D Patil; Yinan Chen; Hong Yu; Yi Xu; Xiaodan Ye
Journal:  Transl Lung Cancer Res       Date:  2022-02
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.