Literature DB >> 26101929

Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features.

Olivier Gevaert, Lex A Mitchell, Achal S Achrol, Jiajing Xu, Sebastian Echegaray, Gary K Steinberg, Samuel H Cheshier, Sandy Napel, Greg Zaharchuk, Sylvia K Plevritis.   

Abstract

Entities:  

Year:  2015        PMID： 26101929      PMCID： PMC4725327          DOI： 10.1148/radiol.2015154019

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  12 in total

1.  CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma.

Authors:  Pritam Mukherjee; Murilo Cintra; Chao Huang; Mu Zhou; Shankuan Zhu; A Dimitrios Colevas; Nancy Fischbein; Olivier Gevaert
Journal:  Radiol Imaging Cancer       Date:  2020-05-15

Review 2.  Precision diagnostics based on machine learning-derived imaging signatures.

Authors:  Christos Davatzikos; Aristeidis Sotiras; Yong Fan; Mohamad Habes; Guray Erus; Saima Rathore; Spyridon Bakas; Rhea Chitalia; Aimilia Gastounioti; Despina Kontos
Journal:  Magn Reson Imaging       Date:  2019-05-06       Impact factor: 2.546

3.  Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status.

Authors:  Chae Jung Park; Yoon Seong Choi; Yae Won Park; Sung Soo Ahn; Seok-Gu Kang; Jong-Hee Chang; Se Hoon Kim; Seung-Koo Lee
Journal:  Neuroradiology       Date:  2019-12-09       Impact factor: 2.804

Review 4.  Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy.

Authors:  Jia Wu; Aaron T Mayer; Ruijiang Li
Journal:  Semin Cancer Biol       Date:  2020-12-05       Impact factor: 17.012

5.  Repeatability of Multiparametric Prostate MRI Radiomics Features.

Authors:  Michael Schwier; Joost van Griethuysen; Mark G Vangel; Steve Pieper; Sharon Peled; Clare Tempany; Hugo J W L Aerts; Ron Kikinis; Fiona M Fennessy; Andriy Fedorov
Journal:  Sci Rep       Date:  2019-07-01       Impact factor: 4.379

6.  A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data.

Authors:  Pritam Mukherjee; Mu Zhou; Edward Lee; Anne Schicht; Yoganand Balagurunathan; Sandy Napel; Robert Gillies; Simon Wong; Alexander Thieme; Ann Leung; Olivier Gevaert
Journal:  Nat Mach Intell       Date:  2020-05-18

7.  Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas.

Authors:  Zhenyu Liu; Yinyan Wang; Xing Liu; Yang Du; Zhenchao Tang; Kai Wang; Jingwei Wei; Di Dong; Yali Zang; Jianping Dai; Tao Jiang; Jie Tian
Journal:  Neuroimage Clin       Date:  2018-04-24       Impact factor: 4.881

8.  Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features.

Authors:  Akshay Jaggi; Sarah A Mattonen; Michael McNitt-Gray; Sandy Napel
Journal:  Tomography       Date:  2020-06

Review 9.  Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.

Authors:  Sandy Napel; Wei Mu; Bruna V Jardim-Perassi; Hugo J W L Aerts; Robert J Gillies
Journal:  Cancer       Date:  2018-11-01       Impact factor: 6.860

10.  Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma.

Authors:  Harini Veeraraghavan; Herbert Alberto Vargas; Alejandro-Jiménez Sánchez; Maura Micco; Eralda Mema; Yulia Lakhman; Mireia Crispin-Ortuzar; Erich P Huang; Douglas A Levine; Rachel N Grisham; Nadeem Abu-Rustum; Joseph O Deasy; Alexandra Snyder; Martin L Miller; James D Brenton; Evis Sala
Journal:  Cancers (Basel)       Date:  2020-11-17       Impact factor: 6.639
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