Literature DB >> 29961590

Computed tomography features of resected lung adenocarcinomas with spread through air spaces.

Gouji Toyokawa1, Yuichi Yamada2, Tetsuzo Tagawa3, Takeshi Kamitani4, Yuzo Yamasaki4, Mototsugu Shimokawa5, Yoshinao Oda2, Yoshihiko Maehara3.   

Abstract

BACKGROUND: Spread through air spaces (STAS) is a recently recognized invasive pattern of lung cancer defined as "micropapillary clusters, solid nests, or single cells beyond the edge of the tumor into air spaces." Since STAS has been shown to be a significant prognosticator for the postoperative survival, predicting STAS preoperatively by computed tomography (CT) might help determine the optimum surgical procedures.
METHODS: Information on STAS and preoperative CT was available in 327 patients with resected lung adenocarcinomas. STAS was defined as tumor cells within air spaces in the lung parenchyma beyond the edge of the main tumor. The association of STAS with CT characteristics, such as vascular convergence, ground-glass opacity (GGO), air bronchogram, notch, pleural indentation, spiculation, and cavitation, was analyzed.
RESULTS: Among the 327 patients with resected adenocarcinoma, 191 (58.4%) were positive for STAS. A univariable analysis demonstrated that STAS-positive adenocarcinomas were significantly associated with a larger radiologic tumor diameter (P = .02), the presence of vascular convergence (P < .01), notch (P < .01), pleural indentation (P = .03), spiculation (P < .01), and the absence of GGO (P < .01) compared with STAS-negative ones. In a multivariable analysis, the presence of notch (P = .01) and the absence of GGO (P < .01) were shown to be significantly associated with the STAS phenomenon. The odds ratio for STAS of notch-positive and GGO-negative adenocarcinomas against notch-negative and GGO-positive ones was 5.01 (P < .01).
CONCLUSIONS: The presence of notch and the absence of GGO were independently associated with the STAS phenomenon. These results will prove helpful in identifying STAS-positive adenocarcinoma by CT before surgical resection.
Copyright © 2018 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  computed tomography; lung adenocarcinoma; spread through air spaces; surgery

Mesh:

Year:  2018        PMID: 29961590     DOI: 10.1016/j.jtcvs.2018.04.126

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  23 in total

1.  Spread through air spaces in non-small cell lung cancer.

Authors:  Yuka Kozuma; Gouji Toyokawa; Yuichi Yamada; Fumihiro Shoji; Koji Yamazaki; Yoshinao Oda; Sadanori Takeo
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

2.  Predicting spread through air spaces (STAS) preoperatively: can imaging help?

Authors:  Rocio Perez Johnston; Katsura Emoto; Joseph Dux; William D Travis; Prasad S Adusumilli
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

3.  A CT-based logistic regression model to predict spread through air space in lung adenocarcinoma.

Authors:  Chuanjun Li; Changsi Jiang; Jingshan Gong; Xiaotao Wu; Yan Luo; Guopin Sun
Journal:  Quant Imaging Med Surg       Date:  2020-10

4.  Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma.

Authors:  Keiichi Takehana; Ryo Sakamoto; Koji Fujimoto; Yukinori Matsuo; Naoki Nakajima; Akihiko Yoshizawa; Toshi Menju; Mitsuhiro Nakamura; Ryo Yamada; Takashi Mizowaki; Yuji Nakamoto
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

Review 5.  A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 2: systematic review of evidence regarding resection extent in generally healthy patients.

Authors:  Frank C Detterbeck; Vincent J Mase; Andrew X Li; Ulas Kumbasar; Brett C Bade; Henry S Park; Roy H Decker; David C Madoff; Gavitt A Woodard; Whitney S Brandt; Justin D Blasberg
Journal:  J Thorac Dis       Date:  2022-06       Impact factor: 3.005

6.  Clinical implication of tumour spread through air spaces in pathological stage I lung adenocarcinoma treated with lobectomy.

Authors:  Eunjue Yi; Jeong Hyeon Lee; Younggi Jung; Jae Ho Chung; Youngseok Lee; Sungho Lee
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-01-01

Review 7.  Current status and perspectives of spread through air spaces in lung cancer.

Authors:  Toshihiro Ikeda; Kyuichi Kadota; Tetsuhiko Go; Reiji Haba; Hiroyasu Yokomise
Journal:  Thorac Cancer       Date:  2021-05-05       Impact factor: 3.500

8.  Radiomics nomograms of tumors and peritumoral regions for the preoperative prediction of spread through air spaces in lung adenocarcinoma.

Authors:  Yaoyao Zhuo; Mingxiang Feng; Shuyi Yang; Lingxiao Zhou; Di Ge; Shaohua Lu; Lei Liu; Fei Shan; Zhiyong Zhang
Journal:  Transl Oncol       Date:  2020-07-01       Impact factor: 4.243

9.  Radiomics is feasible for prediction of spread through air spaces in patients with nonsmall cell lung cancer.

Authors:  Yuki Onozato; Takahiro Nakajima; Hajime Yokota; Jyunichi Morimoto; Akira Nishiyama; Takahide Toyoda; Terunaga Inage; Kazuhisa Tanaka; Yuichi Sakairi; Hidemi Suzuki; Takashi Uno; Ichiro Yoshino
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

10.  Meta-analysis of association between CT-based features and tumor spread through air spaces in lung adenocarcinoma.

Authors:  Qifan Yin; Huien Wang; Hongshang Cui; Wenhao Wang; Guang Yang; Peng Qie; Xuejiao Xun; Shaohui Han; Huining Liu
Journal:  J Cardiothorac Surg       Date:  2020-09-10       Impact factor: 1.637

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