Development and clinical application of radiomics in lung cancer
Abstract Since the discovery of X-rays at the end of the 19th century, medical imageology has progressed for 100 years, and medical imaging has become an important auxiliary tool for clinical diagnosis. With the launch of the human genome project (HGP) and the development of various high-throughput...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-09-01
|
| Series: | Radiation Oncology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13014-017-0885-x |
| _version_ | 1818033121157709824 |
|---|---|
| author | Bojiang Chen Rui Zhang Yuncui Gan Lan Yang Weimin Li |
| author_facet | Bojiang Chen Rui Zhang Yuncui Gan Lan Yang Weimin Li |
| author_sort | Bojiang Chen |
| collection | DOAJ |
| description | Abstract Since the discovery of X-rays at the end of the 19th century, medical imageology has progressed for 100 years, and medical imaging has become an important auxiliary tool for clinical diagnosis. With the launch of the human genome project (HGP) and the development of various high-throughput detection techniques, disease exploration in the post-genome era has extended beyond investigations of structural changes to in-depth analyses of molecular abnormalities in tissues, organs and cells, on the basis of gene expression and epigenetics. These techniques have given rise to genomics, proteomics, metabolomics and other systems biology subspecialties, including radiogenomics. Radiogenomics is an important revolution in the traditional visually identifiable imaging technology and constitutes a new branch, radiomics. Radiomics is aimed at extracting quantitative imaging features automatically and developing models to predict lesion phenotypes in a non-invasive manner. Here, we summarize the advent and development of radiomics, the basic process and challenges in clinical practice, with a focus on applications in pulmonary nodule evaluations, including diagnostics, pathological and molecular classifications, treatment response assessments and prognostic predictions, especially in radiotherapy. |
| first_indexed | 2024-12-10T06:18:14Z |
| format | Article |
| id | doaj.art-7c1b6b709016466abe409f580a0ebacb |
| institution | Directory Open Access Journal |
| issn | 1748-717X |
| language | English |
| last_indexed | 2024-12-10T06:18:14Z |
| publishDate | 2017-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Radiation Oncology |
| spelling | doaj.art-7c1b6b709016466abe409f580a0ebacb2022-12-22T01:59:24ZengBMCRadiation Oncology1748-717X2017-09-011211810.1186/s13014-017-0885-xDevelopment and clinical application of radiomics in lung cancerBojiang Chen0Rui Zhang1Yuncui Gan2Lan Yang3Weimin Li4Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan UniversityDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan UniversityDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan UniversityDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan UniversityDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan UniversityAbstract Since the discovery of X-rays at the end of the 19th century, medical imageology has progressed for 100 years, and medical imaging has become an important auxiliary tool for clinical diagnosis. With the launch of the human genome project (HGP) and the development of various high-throughput detection techniques, disease exploration in the post-genome era has extended beyond investigations of structural changes to in-depth analyses of molecular abnormalities in tissues, organs and cells, on the basis of gene expression and epigenetics. These techniques have given rise to genomics, proteomics, metabolomics and other systems biology subspecialties, including radiogenomics. Radiogenomics is an important revolution in the traditional visually identifiable imaging technology and constitutes a new branch, radiomics. Radiomics is aimed at extracting quantitative imaging features automatically and developing models to predict lesion phenotypes in a non-invasive manner. Here, we summarize the advent and development of radiomics, the basic process and challenges in clinical practice, with a focus on applications in pulmonary nodule evaluations, including diagnostics, pathological and molecular classifications, treatment response assessments and prognostic predictions, especially in radiotherapy.http://link.springer.com/article/10.1186/s13014-017-0885-xRadiomicsPulmonary noduleLung cancerPhenotype |
| spellingShingle | Bojiang Chen Rui Zhang Yuncui Gan Lan Yang Weimin Li Development and clinical application of radiomics in lung cancer Radiation Oncology Radiomics Pulmonary nodule Lung cancer Phenotype |
| title | Development and clinical application of radiomics in lung cancer |
| title_full | Development and clinical application of radiomics in lung cancer |
| title_fullStr | Development and clinical application of radiomics in lung cancer |
| title_full_unstemmed | Development and clinical application of radiomics in lung cancer |
| title_short | Development and clinical application of radiomics in lung cancer |
| title_sort | development and clinical application of radiomics in lung cancer |
| topic | Radiomics Pulmonary nodule Lung cancer Phenotype |
| url | http://link.springer.com/article/10.1186/s13014-017-0885-x |
| work_keys_str_mv | AT bojiangchen developmentandclinicalapplicationofradiomicsinlungcancer AT ruizhang developmentandclinicalapplicationofradiomicsinlungcancer AT yuncuigan developmentandclinicalapplicationofradiomicsinlungcancer AT lanyang developmentandclinicalapplicationofradiomicsinlungcancer AT weiminli developmentandclinicalapplicationofradiomicsinlungcancer |