Literature DB >> 28595812

Beyond imaging: The promise of radiomics.

Michele Avanzo1, Joseph Stancanello2, Issam El Naqa3.   

Abstract

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 provide a recent update on the status of this rapidly emerging field by performing a systematic review of the literature on radiomics, with a primary focus on oncologic applications. The systematic literature search, performed in Pubmed using the keywords: "radiomics OR radiomic" provided 97 research papers. Based on the results of this search, we describe the methods used for building a model of prognostic value from quantitative analysis of patient images. Then, we provide an up-to-date overview of the results achieved in this field, and discuss the current challenges and future developments of radiomics for oncology.
Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Image features; Modelling; Quantitative imaging; Radiomics; Response; Segmentation; Textural

Mesh:

Year:  2017        PMID: 28595812     DOI: 10.1016/j.ejmp.2017.05.071

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  98 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

2.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

3.  Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans.

Authors:  Ahmed W Moawad; Ayahallah Ahmed; David T Fuentes; John D Hazle; Mouhammed A Habra; Khaled M Elsayes
Journal:  Abdom Radiol (NY)       Date:  2021-06-03

4.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

Review 5.  NCTN Assessment on Current Applications of Radiomics in Oncology.

Authors:  Ke Nie; Hania Al-Hallaq; X Allen Li; Stanley H Benedict; Jason W Sohn; Jean M Moran; Yong Fan; Mi Huang; Michael V Knopp; Jeff M Michalski; James Monroe; Ceferino Obcemea; Christina I Tsien; Timothy Solberg; Jackie Wu; Ping Xia; Ying Xiao; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-01-31       Impact factor: 7.038

6.  Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.

Authors:  Jia Wang; Xuejun Liu; Bin Hu; Yuanxiang Gao; Jingjing Chen; Jie Li
Journal:  Abdom Radiol (NY)       Date:  2020-11-05

7.  Role of CT Density in PET/CT-Based Assessment of Lymphoma.

Authors:  Paul Flechsig; Christina Walker; Clemens Kratochwil; Laila König; Andrei Iagura; Jan Moltz; Tim Holland-Letz; Hans-Ulrich Kauczor; Uwe Haberkorn; Frederik L Giesel
Journal:  Mol Imaging Biol       Date:  2018-08       Impact factor: 3.488

8.  Differentiation between pilocytic astrocytoma and glioblastoma: a decision tree model using contrast-enhanced magnetic resonance imaging-derived quantitative radiomic features.

Authors:  Fei Dong; Qian Li; Duo Xu; Wenji Xiu; Qiang Zeng; Xiuliang Zhu; Fangfang Xu; Biao Jiang; Minming Zhang
Journal:  Eur Radiol       Date:  2018-11-12       Impact factor: 5.315

Review 9.  Radiomics in precision medicine for lung cancer.

Authors:  Julie Constanzo; Lise Wei; Huan-Hsin Tseng; Issam El Naqa
Journal:  Transl Lung Cancer Res       Date:  2017-12

10.  Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

Authors:  Ping Yin; Ning Mao; Chao Zhao; Jiangfen Wu; Chao Sun; Lei Chen; Nan Hong
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

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