American Journal of Internal Medicine

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A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN

Received: 28 October 2019    Accepted: 22 November 2019    Published: 11 December 2019
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Abstract

Objective: The recurrence time of small hepatocellular carcinoma (sHCC) after resection are heterogeneous. Prediction the recurrence time of sHCC after resection is propitious to the fine management and individualized treatment of patients with sHCC, especially preoperative noninvasive. Methods: Collected the patients who with SHCC resection, and performed MR before operation one month long, cases with complete follow-up data in the Fifth Medical Center of the Chinese PLA General Hospital during January 2010 to January 2017. Abstract radiographic features of MR LAVA sequence Mask images by pyradiomics and input ANN. Results: A total of 179 cases were enroll into the study, of which 89 were early recurrence (≤24 months) cases and 90 were non-early recurrence (>24 months) cases. Abstract 121 radiographic features of MR LAVA sequence Mask images. Input ANN model into training group (150 cases) and test group (29 cases), the AUC value is 0. 64. The correlation factors of AFP and tumor size were 0.03 and 0.06 respectively. Conclusion: the ANN model of Mask features of MR T1 LAVA sequence can be used to predict the recurrence time of sHCC after resection before the operation, to establish the operative strategy and determine the Image examination frequency of postoperative follow-up.

DOI 10.11648/j.ajim.20190706.16
Published in American Journal of Internal Medicine (Volume 7, Issue 6, November 2019)
Page(s) 169-174
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

ANN, MR, eHCC, Recurrence Time

References
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Author Information
  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • China School of Microelectronics, Xidian University, Xi'an, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

  • Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China

Cite This Article
  • APA Style

    Weiwei Wang, Weimin An, Jinghui Dong, Jianzeng Zhang, Peng Li, et al. (2019). A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN. American Journal of Internal Medicine, 7(6), 169-174. https://doi.org/10.11648/j.ajim.20190706.16

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    ACS Style

    Weiwei Wang; Weimin An; Jinghui Dong; Jianzeng Zhang; Peng Li, et al. A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN. Am. J. Intern. Med. 2019, 7(6), 169-174. doi: 10.11648/j.ajim.20190706.16

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    AMA Style

    Weiwei Wang, Weimin An, Jinghui Dong, Jianzeng Zhang, Peng Li, et al. A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN. Am J Intern Med. 2019;7(6):169-174. doi: 10.11648/j.ajim.20190706.16

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  • @article{10.11648/j.ajim.20190706.16,
      author = {Weiwei Wang and Weimin An and Jinghui Dong and Jianzeng Zhang and Peng Li and Zhenjie Wu and Fangfang Shi and Mengmeng Zhang},
      title = {A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN},
      journal = {American Journal of Internal Medicine},
      volume = {7},
      number = {6},
      pages = {169-174},
      doi = {10.11648/j.ajim.20190706.16},
      url = {https://doi.org/10.11648/j.ajim.20190706.16},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajim.20190706.16},
      abstract = {Objective: The recurrence time of small hepatocellular carcinoma (sHCC) after resection are heterogeneous. Prediction the recurrence time of sHCC after resection is propitious to the fine management and individualized treatment of patients with sHCC, especially preoperative noninvasive. Methods: Collected the patients who with SHCC resection, and performed MR before operation one month long, cases with complete follow-up data in the Fifth Medical Center of the Chinese PLA General Hospital during January 2010 to January 2017. Abstract radiographic features of MR LAVA sequence Mask images by pyradiomics and input ANN. Results: A total of 179 cases were enroll into the study, of which 89 were early recurrence (≤24 months) cases and 90 were non-early recurrence (>24 months) cases. Abstract 121 radiographic features of MR LAVA sequence Mask images. Input ANN model into training group (150 cases) and test group (29 cases), the AUC value is 0. 64. The correlation factors of AFP and tumor size were 0.03 and 0.06 respectively. Conclusion: the ANN model of Mask features of MR T1 LAVA sequence can be used to predict the recurrence time of sHCC after resection before the operation, to establish the operative strategy and determine the Image examination frequency of postoperative follow-up.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN
    AU  - Weiwei Wang
    AU  - Weimin An
    AU  - Jinghui Dong
    AU  - Jianzeng Zhang
    AU  - Peng Li
    AU  - Zhenjie Wu
    AU  - Fangfang Shi
    AU  - Mengmeng Zhang
    Y1  - 2019/12/11
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajim.20190706.16
    DO  - 10.11648/j.ajim.20190706.16
    T2  - American Journal of Internal Medicine
    JF  - American Journal of Internal Medicine
    JO  - American Journal of Internal Medicine
    SP  - 169
    EP  - 174
    PB  - Science Publishing Group
    SN  - 2330-4324
    UR  - https://doi.org/10.11648/j.ajim.20190706.16
    AB  - Objective: The recurrence time of small hepatocellular carcinoma (sHCC) after resection are heterogeneous. Prediction the recurrence time of sHCC after resection is propitious to the fine management and individualized treatment of patients with sHCC, especially preoperative noninvasive. Methods: Collected the patients who with SHCC resection, and performed MR before operation one month long, cases with complete follow-up data in the Fifth Medical Center of the Chinese PLA General Hospital during January 2010 to January 2017. Abstract radiographic features of MR LAVA sequence Mask images by pyradiomics and input ANN. Results: A total of 179 cases were enroll into the study, of which 89 were early recurrence (≤24 months) cases and 90 were non-early recurrence (>24 months) cases. Abstract 121 radiographic features of MR LAVA sequence Mask images. Input ANN model into training group (150 cases) and test group (29 cases), the AUC value is 0. 64. The correlation factors of AFP and tumor size were 0.03 and 0.06 respectively. Conclusion: the ANN model of Mask features of MR T1 LAVA sequence can be used to predict the recurrence time of sHCC after resection before the operation, to establish the operative strategy and determine the Image examination frequency of postoperative follow-up.
    VL  - 7
    IS  - 6
    ER  - 

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