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Diagnostics
Protocol
VOC biomarkers identification and predictive model construction for lung cancer based on exhaled breath analysis: research protocol for an exploratory study

Authors

  • Wenwen Li West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, ChinaResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  • Wei Dai Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China PubMed articlesGoogle scholar articles
  • Mingxin Liu Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China PubMed articlesGoogle scholar articles
  • Yijing Long Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  • Chunyan Wang Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  • Shaohua Xie Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaGraduate School, Chengdu Medical College, Chengdu, China PubMed articlesGoogle scholar articles
  • Yuanling Liu Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  • Yinchenxi Zhang Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  • Qiuling Shi Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articlesGoogle scholar articles
  • Xiaoqin Peng Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaGraduate School, Chengdu Medical College, Chengdu, China PubMed articlesGoogle scholar articles
  • Yifeng Liu Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaGraduate School, Chengdu Medical College, Chengdu, China PubMed articlesGoogle scholar articles
  • Qiang Li Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China PubMed articlesGoogle scholar articles
  • Yixiang Duan Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Qiang Li; liqiang{at}sichuancancer.org and Dr Yixiang Duan; yduan{at}scu.edu.cn
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Citation

Li W, Dai W, Liu M, et al
VOC biomarkers identification and predictive model construction for lung cancer based on exhaled breath analysis: research protocol for an exploratory study
BMJ Open 2019;9:e028448. doi: 10.1136/bmjopen-2018-028448

Publication history

  • Received December 8, 2018
  • Revised March 26, 2019
  • Accepted June 19, 2019
  • First published August 8, 2019.
Online issue publication 
August 08, 2019
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© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.