Literature DB >> 30067571

CT Manifestations of Tumor Spread Through Airspaces in Pulmonary Adenocarcinomas Presenting as Subsolid Nodules.

Constance de Margerie-Mellon1, Allison Onken2, Benedikt H Heidinger1, Paul A VanderLaan2, Alexander A Bankier1.   

Abstract

PURPOSE: The aim of this study was to identify potential computed tomography manifestations of pulmonary adenocarcinomas presenting as subsolid nodules and associated with the histologic evidence of spread of tumor through air spaces (STAS).
MATERIALS AND METHODS: From a radiologic-pathologic repository of resected pulmonary adenocarcinomas including 203 subsolid nodules, 40 STAS-positive nodules were randomly selected and matched to 40 STAS-negative nodules. Total average diameter, as well as average and long-axis diameters of the solid component, was measured. The proportion of solid component diameter to total average diameter was calculated. Measurements and proportions between STAS-positive and STAS-negative nodules were compared with paired samples t test, χ test, or the Fisher exact test.
RESULTS: The total average diameter in STAS-positive nodules was significantly larger than in STAS-negative nodules (P=0.024). The average and long-axis diameters of the solid component of STAS-positive nodules were significantly larger than that of STAS-negative nodules (P=0.001 and 0.003). The proportion of solid component to total average diameter was significantly larger in STAS-positive than in STAS-negative nodules (P=0.041). At a threshold of ≥10 mm for the average and the solid component long-axis diameters, significantly more nodules were STAS-positive than STAS-negative (P=0.015 and 0.001).
CONCLUSIONS: Total average diameter, average and long-axis diameters of the solid component, and a high proportion of solid component diameter compared with total average diameter are computed tomography manifestations of subsolid pulmonary adenocarcinomas with STAS. These findings could serve as an in-vivo tool for the likelihood estimation of STAS, and consequently influence management of subsolid adenocarcinomas.

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Year:  2018        PMID: 30067571     DOI: 10.1097/RTI.0000000000000344

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  16 in total

1.  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

2.  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

3.  Visceral Pleural Invasion in Pulmonary Adenocarcinoma: Differences in CT Patterns between Solid and Subsolid Cancers.

Authors:  Benedikt H Heidinger; Ursula Schwarz-Nemec; Kevin R Anderson; Constance de Margerie-Mellon; Antonio C Monteiro Filho; Yigu Chen; Marius E Mayerhoefer; Paul A VanderLaan; Alexander A Bankier
Journal:  Radiol Cardiothorac Imaging       Date:  2019-08-29

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.  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

6.  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

Review 7.  Spread Through Air Spaces (STAS) in Lung Cancer: A Multiple-Perspective and Update Review.

Authors:  Meng Jia; Shili Yu; Hongwen Gao; Ping-Li Sun
Journal:  Cancer Manag Res       Date:  2020-04-23       Impact factor: 3.989

8.  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

9.  Role of imaging in predicting tumor spread through airspaces (STAS): what are the next steps.

Authors:  Constance de Margerie-Mellon; Paul A VanderLaan; Benedikt H Heidinger; Alexander A Bankier
Journal:  J Thorac Dis       Date:  2020-03       Impact factor: 3.005

10.  Comparison of Diagnostic Performance of Spread Through Airspaces of Lung Adenocarcinoma Based on Morphological Analysis and Perinodular and Intranodular Radiomic Features on Chest CT Images.

Authors:  Lin Qi; Xiaohu Li; Linyang He; Guohua Cheng; Yongjun Cai; Ke Xue; Ming Li
Journal:  Front Oncol       Date:  2021-06-25       Impact factor: 6.244

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