Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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89 NSCLC patients with gene expression profiles and matching CT imaging data available at TCIA.


ABSTRACT: The Lung3 data set consists of 89 NSCLC patients that were treated at MAASTRO Clinic, The Netherlands. For these patients pretreatment CT scans, tumour delineations and gene expression profiles were available. We used this data set to associate imaging features with gene-expression profiles. 89 samples from NSCLC patients. Samples were obtained by biopsies from cancerous tissue. Tumors were classified as Adenocarcinoma, Papillary, NOS; Squamous Cell Carcinoma, NOS; Non-Small Cell; Papillary Type; or Solid Type.

ORGANISM(S): Homo sapiens

SUBMITTER: Patrick Grossmann 

PROVIDER: E-GEOD-58661 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


Human cancers exhibit strong phenotypic differences that can be visualized noninvasively by medical imaging. Radiomics refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features. Here we present a radiomic analysis of 440 features quantifying tumour image intensity, shape and texture, which are extracted from computed tomography data of 1,019 patients with lung or head-and-neck cancer. We find that a large number of radiomic features  ...[more]

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