A radiogenomic dataset of non-small cell lung cancer.
Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Majid Shafiq, Hong Zheng, Jalen Anthony Benson, Weiruo Zhang, Ann N C Leung, Michael Kadoch, Chuong D Hoang, Joseph Shrager, Andrew Quon, Daniel L Rubin, Sylvia K Plevritis, Sandy Napel
Author Information
Shaimaa Bakr: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Olivier Gevaert: Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Sebastian Echegaray: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kelsey Ayers: Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Mu Zhou: Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Majid Shafiq: Department of Medicine, Johns Hopkins University, 733 N Broadway, Baltimore, MD 21205, USA.
Hong Zheng: Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jalen Anthony Benson: Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Weiruo Zhang: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ann N C Leung: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Michael Kadoch: Department of Radiology, University of California Davis, Sacramento, CA 95817, USA.
Chuong D Hoang: Thoracic and GI Oncology Branch, National Institutes of Health/National Cancer Institute, MD 20892, USA.
Joseph Shrager: Stanford School of Medicine, Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford, CA 94305, USA.
Andrew Quon: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Daniel L Rubin: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Sylvia K Plevritis: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Sandy Napel: Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA. ORCID
Medical image biomarkers of cancer promise improvements in patient care through advances in precision medicine. Compared to genomic biomarkers, image biomarkers provide the advantages of being non-invasive, and characterizing a heterogeneous tumor in its entirety, as opposed to limited tissue available via biopsy. We developed a unique radiogenomic dataset from a Non-Small Cell Lung Cancer (NSCLC) cohort of 211 subjects. The dataset comprises Computed Tomography (CT), Positron Emission Tomography (PET)/CT images, semantic annotations of the tumors as observed on the medical images using a controlled vocabulary, and segmentation maps of tumors in the CT scans. Imaging data are also paired with results of gene mutation analyses, gene expression microarrays and RNA sequencing data from samples of surgically excised tumor tissue, and clinical data, including survival outcomes. This dataset was created to facilitate the discovery of the underlying relationship between tumor molecular and medical image features, as well as the development and evaluation of prognostic medical image biomarkers.
