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A PET imaging approach for determining EGFR mutation status for improved lung cancer patient management

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Science Translational Medicine  07 Mar 2018:
Vol. 10, Issue 431, eaan8840
DOI: 10.1126/scitranslmed.aan8840

Article Information

vol. 10 no. 431

PubMed: 
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History: 
  • Received for publication June 8, 2017
  • Accepted for publication January 29, 2018

Author Information

  1. Xilin Sun1,2,3,
  2. Zunyu Xiao1,
  3. Gongyan Chen4,
  4. Zhaoguo Han1,
  5. Yang Liu1,
  6. Chongqing Zhang1,
  7. Yingying Sun2,
  8. Yan Song1,
  9. Kai Wang1,2,
  10. Fang Fang2,
  11. Xiance Wang1,
  12. Yanhong Lin1,
  13. Lili Xu5,
  14. Liming Shao5,
  15. Jin Li6,
  16. Zhen Cheng3,*,
  17. Sanjiv Sam Gambhir3,* and
  18. Baozhong Shen1,2,*
  1. 1Molecular Imaging Research Center, Harbin Medical University (MIRC), Harbin, Heilongjiang 150028, China.
  2. 2TOF-PET/CT/MR Center, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang 150028, China.
  3. 3Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  4. 4Department of Respiratory Medical Oncology, The Tumor Hospital Affiliated Harbin Medical University, Harbin, Heilongjiang 150049, China.
  5. 5School of Pharmacy, Fudan University, Shanghai 201203, China.
  6. 6College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  1. *Corresponding author. Email: shenbz{at}ems.hrbmu.edu.cn (B.S.); sgambhir{at}stanford.edu (S.S.G.); zcheng{at}stanford.edu (Z.C.)

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