Repeatability of radiomics studies in colorectal cancer: a systematic review

被引:7
|
作者
Liu, Ying [1 ]
Wei, Xiaoqin [1 ]
Feng, Xu
Liu, Yan [2 ]
Feng, Guiling [2 ]
Du, Yong [2 ]
机构
[1] North Sichuan Med Coll, Sch Med Imaging, Nanchong City 637000, Sichuan, Peoples R China
[2] North Sichuan Med Coll, Affiliated Hosp, Dept Radiol, 1 Maoyuannan Rd, Nanchong City 637000, Sichuan, Peoples R China
关键词
Colorectal cancer; Artificial intelligence; Radiomics; Repeatability; Machine learning; RECTAL-CANCER; INTEROBSERVER VARIABILITY; PRECISION MEDICINE; PREDICTION; SEGMENTATION; FEATURES; MRI; REPRODUCIBILITY; ADENOCARCINOMA; COEFFICIENT;
D O I
10.1186/s12876-023-02743-1
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BackgroundRecently, 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.MethodsThe 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.ResultsA 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.ConclusionsThe 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.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Repeatability of radiomics studies in colorectal cancer: a systematic review
    Ying Liu
    Xiaoqin Wei
    Xu Feng
    Yan Liu
    Guiling Feng
    Yong Du
    BMC Gastroenterology, 23
  • [2] Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review
    Staal, Femke C. R.
    van der Reijd, Denise J.
    Taghavi, Marjaneh
    Lambregts, Doenja M. J.
    Beets-Tan, Regina G. H.
    Maas, Monique
    CLINICAL COLORECTAL CANCER, 2021, 20 (01) : 52 - 71
  • [3] Radiomics for prediction of perineural invasion in colorectal cancer: a systematic review and meta-analysis
    Tang, Ning
    Pan, Shicen
    Zhang, Qirong
    Zhou, Jian
    Zuo, Zhiwei
    Jiang, Rui
    Sheng, Jinping
    ABDOMINAL RADIOLOGY, 2025,
  • [4] Viral infections and colorectal cancer: A systematic review of epidemiological studies
    Chen, Hongda
    Chen, Xin-Zu
    Waterboer, Tim
    Castro, Felipe Andres
    Brenner, Hermann
    INTERNATIONAL JOURNAL OF CANCER, 2015, 137 (01) : 12 - 24
  • [5] Obesity and Risk of Colorectal Cancer: A Systematic Review of Prospective Studies
    Ma, Yanlei
    Yang, Yongzhi
    Wang, Feng
    Zhang, Peng
    Shi, Chenzhang
    Zou, Yang
    Qin, Huanlong
    PLOS ONE, 2013, 8 (01):
  • [6] A Systematic Review of PET Textural Analysis and Radiomics in Cancer
    Pineiro-Fiel, Manuel
    Moscoso, Alexis
    Pubul, Virginia
    Ruibal, Alvaro
    Silva-Rodriguez, Jesus
    Aguiar, Pablo
    DIAGNOSTICS, 2021, 11 (02)
  • [7] Current status and quality of radiomics studies in lymphoma: a systematic review
    Wang, Hongxi
    Zhou, Yi
    Li, Li
    Hou, Wenxiu
    Ma, Xuelei
    Tian, Rong
    EUROPEAN RADIOLOGY, 2020, 30 (11) : 6228 - 6240
  • [8] Current status and quality of radiomics studies in lymphoma: a systematic review
    Hongxi Wang
    Yi Zhou
    Li Li
    Wenxiu Hou
    Xuelei Ma
    Rong Tian
    European Radiology, 2020, 30 : 6228 - 6240
  • [9] Nomograms for colorectal cancer:A systematic review
    Kazushige Kawai
    Eiji Sunami
    Hironori Yamaguchi
    Soichiro Ishihara
    Shinsuke Kazama
    Hiroaki Nozawa
    Keisuke Hata
    Tomomichi Kiyomatsu
    Junichiro Tanaka
    Toshiaki Tanaka
    Takeshi Nishikawa
    Joji Kitayama
    Toshiaki Watanabe
    World Journal of Gastroenterology, 2015, (41) : 11877 - 11886
  • [10] Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
    Wang, Qiang
    Xu, Jianhua
    Wang, Anrong
    Chen, Yi
    Wang, Tian
    Chen, Danyu
    Zhang, Jiaxing
    Brismar, Torkel B. B.
    RADIOLOGIA MEDICA, 2023, 128 (02): : 136 - 148