Use of radiomics in the radiation oncology setting: Where do we stand and what do we need?

被引：11

作者：

Schick, U. ^{[1
,2
,3
]}

Lucia, F. ^{[1
,2
,3
]}

Bourbonne, V ^{[1
,2
,3
]}

Dissaux, G. ^{[1
,2
,3
]}

Pradier, O. ^{[1
,2
,3
]}

Jaouen, V ^{[2
]}

Tixier, F. ^{[2
]}

Visvikis, D. ^{[2
]}

Hatt, M. ^{[2
]}

机构：

[1] Univ Hosp, Radiat Oncol Dept, 2 Ave Foch, F-29200 Brest, France

[2] Univ Bretagne Occident, INSERM, LaTIM, UMR 1101, Brest, France

[3] Univ Bretagne Occident, Fac Med & Sci Sante, Brest, France

来源：

CANCER RADIOTHERAPIE | 2020年 / 24卷 / 6-7期

关键词：

Radiomics; Texture; Radiotherapy; ARTIFICIAL-INTELLIGENCE; CANCER; MRI; PREDICTION; THERAPY; IMAGES; HEAD; CLASSIFICATION; RECONSTRUCTION; HETEROGENEITY;

D O I：

10.1016/j.canrad.2020.07.005

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Radiomics is a field that has been growing rapidly for the past ten years in medical imaging and more particularly in oncology where the primary objective is to contribute to personalised and predictive medicine. This short review aimed at providing some insights regarding the potential value of radiomics for cancer patients treated with radiotherapy. Radiomics may contribute to each stage of the patients' management: diagnosis, planning, treatment monitoring and post-treatment follow-up (toxicity and response). However, its applicability in clinical routine is currently hindered by several factors, including lack of automation, standardisation and harmonisation. A major effort must be carried out to automate the workflow, standardise radiomics good practices and carry out large-scale studies before any transfer to daily clinical practice. (C) 2020 Societe francaise de radiotherapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.

引用

页码：755 / 761

页数：7

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