Radiomics: the bridge between medical imaging and personalized medicine

P Lambin, RTH Leijenaar, TM Deist… - Nature reviews Clinical …, 2017 - nature.com
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Beyond imaging: the promise of radiomics

M Avanzo, J Stancanello, I El Naqa - Physica Medica, 2017 - Elsevier
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …

A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme

J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G Zhai - Scientific reports, 2017 - nature.com
Traditional radiomics models mainly rely on explicitly-designed handcrafted features from
medical images. This paper aimed to investigate if deep features extracted via transfer …

Radiomics features of multiparametric MRI as novel prognostic factors in advanced nasopharyngeal carcinoma

B Zhang, J Tian, D Dong, D Gu, Y Dong, L Zhang… - Clinical Cancer …, 2017 - AACR
Purpose: To identify MRI-based radiomics as prognostic factors in patients with advanced
nasopharyngeal carcinoma (NPC). Experimental Design: One-hundred and eighteen …

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures

RTHM Larue, G Defraene… - The British journal of …, 2017 - academic.oup.com
Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …

Defining the biological basis of radiomic phenotypes in lung cancer

P Grossmann, O Stringfield, N El-Hachem, MM Bui… - elife, 2017 - elifesciences.org
Medical imaging can visualize characteristics of human cancer noninvasively. Radiomics is
an emerging field that translates these medical images into quantitative data to enable …

Radiomics-based prognosis analysis for non-small cell lung cancer

Y Zhang, A Oikonomou, A Wong, MA Haider… - Scientific reports, 2017 - nature.com
Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …

Radiomic features are superior to conventional quantitative computed tomographic metrics to identify coronary plaques with napkin-ring sign

M Kolossváry, J Karády, B Szilveszter… - Circulation …, 2017 - Am Heart Assoc
Background—Napkin-ring sign (NRS) is an independent prognostic imaging marker of
major adverse cardiac events. However, identification of NRS is challenging because of its …

[HTML][HTML] Radiomic-based pathological response prediction from primary tumors and lymph nodes in NSCLC

TP Coroller, V Agrawal, E Huynh, V Narayan… - Journal of Thoracic …, 2017 - Elsevier
Introduction Noninvasive biomarkers that capture the total tumor burden could provide
important complementary information for precision medicine to aid clinical decision making …

[HTML][HTML] 2D and 3D CT radiomics features prognostic performance comparison in non-small cell lung cancer

C Shen, Z Liu, M Guan, J Song, Y Lian, S Wang… - Translational …, 2017 - Elsevier
OBJECTIVE: To compare 2D and 3D radiomics features prognostic performance differences
in CT images of non-small cell lung cancer (NSCLC). METHOD: We enrolled 588 NSCLC …