Literature DB >> 31092384

Radiomics: Principles and radiotherapy applications.

I Gardin1, V Grégoire2, D Gibon3, H Kirisli3, D Pasquier4, J Thariat5, P Vera6.   

Abstract

Radiomics is defined as the extraction of a large quantity of quantitative image features. The different radiomic indexes that have been proposed in the literature are described as well as the various factors that have an impact on the robustness of these indexes. We will see that several hundred quantitative features can be extracted per lesion and imaging modality. The ever-growing number of features studied raises the question of the statistical method of analysis used. This review addresses the research supporting the clinical use of radiomics in oncology in the staging of disease, discrimination between healthy and pathological tissues, the identification of genetic features, the prediction of patient survival, the response to treatment, the recurrence after radiotherapy and chemoradiotherapy and the side effects. Based on the existing literature, it remains difficult to identify features that should be used for current clinical practice.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Chemoradiotherapy; Medical imaging; Radiomics; Radiotherapy

Mesh:

Year:  2019        PMID: 31092384     DOI: 10.1016/j.critrevonc.2019.03.015

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  14 in total

1.  Gadoxetic acid-enhanced MRI radiomics signature: prediction of clinical outcome in hepatocellular carcinoma after surgical resection.

Authors:  Zhen Zhang; Jie Chen; Hanyu Jiang; Yi Wei; Xin Zhang; Likun Cao; Ting Duan; Zheng Ye; Shan Yao; Xuelin Pan; Bin Song
Journal:  Ann Transl Med       Date:  2020-07

2.  Radiomics in Head and Neck Cancers Radiotherapy. Promises and Challenges.

Authors:  Roxana Irina Iancu; A D Zara; C C Mirestean; D P T Iancu
Journal:  Maedica (Bucur)       Date:  2021-09

3.  Predicting MGMT Promoter Methylation in Diffuse Gliomas Using Deep Learning with Radiomics.

Authors:  Sixuan Chen; Yue Xu; Meiping Ye; Yang Li; Yu Sun; Jiawei Liang; Jiaming Lu; Zhengge Wang; Zhengyang Zhu; Xin Zhang; Bing Zhang
Journal:  J Clin Med       Date:  2022-06-15       Impact factor: 4.964

4.  Computed Tomography-Based Tumor Heterogeneity Analysis Reveals Differences in a Cohort with Advanced Pancreatic Carcinoma under Palliative Chemotherapy.

Authors:  Jochen Paul Steinacker; Nora Steinacker-Stanescu; Thomas Ettrich; Marko Kornmann; Katharina Kneer; Ambros Beer; Meinrad Beer; Stefan Andreas Schmidt
Journal:  Visc Med       Date:  2020-04-07

5.  Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics.

Authors:  Qian Li; Fei Dong; Biao Jiang; Minming Zhang
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

6.  Repeatability and reproducibility study of radiomic features on a phantom and human cohort.

Authors:  A K Jha; S Mithun; V Jaiswar; U B Sherkhane; N C Purandare; K Prabhash; V Rangarajan; A Dekker; L Wee; A Traverso
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

Review 7.  Radiomics and Digital Image Texture Analysis in Oncology (Review).

Authors:  A A Litvin; D A Burkin; A A Kropinov; F N Paramzin
Journal:  Sovrem Tekhnologii Med       Date:  2021-01-01

Review 8.  Role of MRI‑based radiomics in locally advanced rectal cancer (Review).

Authors:  Siyu Zhang; Mingrong Yu; Dan Chen; Peidong Li; Bin Tang; Jie Li
Journal:  Oncol Rep       Date:  2021-12-22       Impact factor: 3.906

9.  A Radiomic Approach to Access Tumor Immune Status by CD8+TRMs on Surgically Resected Non-Small-Cell Lung Cancer.

Authors:  Jie Min; Fei Dong; Pin Wu; Xiaopei Xu; Yimin Wu; Yanbin Tan; Fan Yang; Ying Chai
Journal:  Onco Targets Ther       Date:  2021-09-27       Impact factor: 4.147

10.  MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.

Authors:  M D Holbrook; S J Blocker; Y M Mowery; A Badea; Y Qi; E S Xu; D G Kirsch; G A Johnson; C T Badea
Journal:  Tomography       Date:  2020-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.