Open AccessComprehensive targeted super-deep next generation sequencing enhances differential diagnosis of solitary pulmonary nodules
Author(s) -
Mingzhi Ye,
Shiyong Li,
Weiguo Huang,
Chunli Wang,
Liping Liu,
Jun Li,
JiLong Liu,
Pei Hui,
Qiuhua Deng,
Hailing Tang,
Long Jiang,
Xi Chen,
Ди Шао,
Zhiyu Peng,
Renhua Wu,
Jing Zhong,
Zhe Wang,
Xiaoping Zhang,
Karsten Kristiansen,
Jian Wang,
Ye Yin,
Mao Mao,
Jianxing He,
Wenhua Liang
Publication year - 2018
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2018.04.09
Subject(s) - medicine , differential diagnosis , deep sequencing , solitary pulmonary nodule , dna sequencing , pathology , computational biology , radiology , computed tomography , genetics , biology , gene , genome
A non-invasive method to predict the malignancy of surgery-candidate solitary pulmonary nodules (SPN) is urgently needed.