Repeatability of radiomics studies in colorectal cancer: a systematic review
Abstract Background Recently, radiomics has been widely used in colorectal cancer, but many variable factors affect the repeatability of radiomics research. This review aims to analyze the repeatability of radiomics studies in colorectal cancer and to evaluate the current status of radiomics in the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Gastroenterology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12876-023-02743-1 |
| _version_ | 1797845976926388224 |
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| author | Ying Liu Xiaoqin Wei Xu Feng Yan Liu Guiling Feng Yong Du |
| author_facet | Ying Liu Xiaoqin Wei Xu Feng Yan Liu Guiling Feng Yong Du |
| author_sort | Ying Liu |
| collection | DOAJ |
| description | Abstract Background Recently, radiomics has been widely used in colorectal cancer, but many variable factors affect the repeatability of radiomics research. This review aims to analyze the repeatability of radiomics studies in colorectal cancer and to evaluate the current status of radiomics in the field of colorectal cancer. Methods The included studies in this review by searching from the PubMed and Embase databases. Then each study in our review was evaluated using the Radiomics Quality Score (RQS). We analyzed the factors that may affect the repeatability in the radiomics workflow and discussed the repeatability of the included studies. Results A total of 188 studies was included in this review, of which only two (2/188, 1.06%) studies controlled the influence of individual factors. In addition, the median score of RQS was 11 (out of 36), range-1 to 27. Conclusions The RQS score was moderately low, and most studies did not consider the repeatability of radiomics features, especially in terms of Intra-individual, scanners, and scanning parameters. To improve the generalization of the radiomics model, it is necessary to further control the variable factors of repeatability. |
| first_indexed | 2024-04-09T17:47:39Z |
| format | Article |
| id | doaj.art-d80fc8370d784054b9af43ee233c3be8 |
| institution | Directory Open Access Journal |
| issn | 1471-230X |
| language | English |
| last_indexed | 2024-04-09T17:47:39Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Gastroenterology |
| spelling | doaj.art-d80fc8370d784054b9af43ee233c3be82023-04-16T11:16:02ZengBMCBMC Gastroenterology1471-230X2023-04-0123111210.1186/s12876-023-02743-1Repeatability of radiomics studies in colorectal cancer: a systematic reviewYing Liu0Xiaoqin Wei1Xu FengYan Liu2Guiling Feng3Yong Du4School of Medical Imaging, North Sichuan Medical CollegeSchool of Medical Imaging, North Sichuan Medical CollegeDepartment of Radiology, the Affiliated Hospital of North Sichuan Medical CollegeDepartment of Radiology, the Affiliated Hospital of North Sichuan Medical CollegeDepartment of Radiology, the Affiliated Hospital of North Sichuan Medical CollegeAbstract Background Recently, radiomics has been widely used in colorectal cancer, but many variable factors affect the repeatability of radiomics research. This review aims to analyze the repeatability of radiomics studies in colorectal cancer and to evaluate the current status of radiomics in the field of colorectal cancer. Methods The included studies in this review by searching from the PubMed and Embase databases. Then each study in our review was evaluated using the Radiomics Quality Score (RQS). We analyzed the factors that may affect the repeatability in the radiomics workflow and discussed the repeatability of the included studies. Results A total of 188 studies was included in this review, of which only two (2/188, 1.06%) studies controlled the influence of individual factors. In addition, the median score of RQS was 11 (out of 36), range-1 to 27. Conclusions The RQS score was moderately low, and most studies did not consider the repeatability of radiomics features, especially in terms of Intra-individual, scanners, and scanning parameters. To improve the generalization of the radiomics model, it is necessary to further control the variable factors of repeatability.https://doi.org/10.1186/s12876-023-02743-1Colorectal cancerArtificial intelligenceRadiomicsRepeatabilityMachine learning |
| spellingShingle | Ying Liu Xiaoqin Wei Xu Feng Yan Liu Guiling Feng Yong Du Repeatability of radiomics studies in colorectal cancer: a systematic review BMC Gastroenterology Colorectal cancer Artificial intelligence Radiomics Repeatability Machine learning |
| title | Repeatability of radiomics studies in colorectal cancer: a systematic review |
| title_full | Repeatability of radiomics studies in colorectal cancer: a systematic review |
| title_fullStr | Repeatability of radiomics studies in colorectal cancer: a systematic review |
| title_full_unstemmed | Repeatability of radiomics studies in colorectal cancer: a systematic review |
| title_short | Repeatability of radiomics studies in colorectal cancer: a systematic review |
| title_sort | repeatability of radiomics studies in colorectal cancer a systematic review |
| topic | Colorectal cancer Artificial intelligence Radiomics Repeatability Machine learning |
| url | https://doi.org/10.1186/s12876-023-02743-1 |
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