Literature DB >> 30179108

Lung Adenocarcinoma: CT Features Associated with Spread through Air Spaces.

Seon Kyoung Kim1, Tae Jung Kim1, Myung Jin Chung1, Tae Sung Kim1, Kyung Soo Lee1, Jae Ill Zo1, Young Mog Shim1.   

Abstract

Purpose To identify the features at CT that are predictive of spread through air spaces (STAS) in surgically resected lung adenocarcinomas. Materials and Methods For this retrospective study, presence of STAS was evaluated in 948 consecutive patients who underwent surgical resection for lung adenocarcinoma from April 2015 to December 2016. Patients who were positive for STAS and negative for STAS were matched at a ratio of 1:2 by using patient variables (age, sex, and smoking status). CT features (ie, percentage of solid component, maximum diameter of solid component, lesion density, location, margin, shape, pseudocavity, calcification, central low attenuation, ill-defined peripheral opacity, air bronchogram, satellite lesions, and pleural retraction) were analyzed by using multivariable logistic regression and receiver operating characteristic curves. Results The final study population consisted of 276 patients (mean age, 59 years; age range, 32-78 years) including 129 men (mean age, 60 years; age range, 36-78 years) and 147 women (mean age, 59 years; age range, 32-78 years). Ninety-two patients were positive for STAS and 184 patients were negative for STAS. STAS was more common in solid tumors (71 of 92; 77%) than in part-solid (21 of 92; 23%) or ground-glass lesions (0 of 92; 0%) (P < .001). STAS was also associated with central low attenuation, ill-defined opacity, air bronchogram, and percentage of solid component (all P < .001). Percentage of solid component was an independent predictor of STAS (odds ratio, 1.06; 95% confidence interval: 1.03, 1.08) and a cut-off value of 90% showed a discriminatory power with a sensitivity of 89.2% and a specificity of 60.3%. Conclusion Percentage of solid component was independently associated with spread through air spaces in lung adenocarcinomas. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 30179108     DOI: 10.1148/radiol.2018180431

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


  32 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.  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

4.  An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer.

Authors:  Shuai Wang; Huankai Shou; Haoyu Wen; Xingxing Wang; Haixing Wang; Chunlai Lu; Jie Gu; Fengkai Xu; Qiaoliang Zhu; Lin Wang; Di Ge
Journal:  BMC Pulm Med       Date:  2022-05-26       Impact factor: 3.320

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

Review 6.  Is There a Role for Percutaneous Ablation for Early Stage Lung Cancer? What Is the Evidence?

Authors:  J Palussière; M Cazayus; S Cousin; M Cabart; F Chomy; V Catena; X Buy
Journal:  Curr Oncol Rep       Date:  2021-05-05       Impact factor: 5.075

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.  Discriminating Small-Sized (2 cm or Less), Noncalcified, Solitary Pulmonary Tuberculoma and Solid Lung Adenocarcinoma in Tuberculosis-Endemic Areas.

Authors:  Jingping Zhang; Tingting Han; Jialiang Ren; Chenwang Jin; Ming Zhang; Youmin Guo
Journal:  Diagnostics (Basel)       Date:  2021-05-21

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.  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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