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A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN
American Journal of Internal Medicine
Volume 7, Issue 6, November 2019, Pages: 169-174
Received: Oct. 28, 2019; Accepted: Nov. 22, 2019; Published: Dec. 11, 2019
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Weiwei Wang, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Weimin An, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Jinghui Dong, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Jianzeng Zhang, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Peng Li, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Zhenjie Wu, China School of Microelectronics, Xidian University, Xi'an, China
Fangfang Shi, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
Mengmeng Zhang, Radiological Department, The Fifth Medical Center of PLA General Hospital, Beijing, China
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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.
ANN, MR, eHCC, Recurrence Time
To cite this article
Weiwei Wang, Weimin An, Jinghui Dong, Jianzeng Zhang, Peng Li, Zhenjie Wu, Fangfang Shi, Mengmeng Zhang, A Radiomics Model in Predicting Recurrence Time of Small Hepatocellular Carcinoma After Hepatectomy Base on MR by ANN, American Journal of Internal Medicine. Vol. 7, No. 6, 2019, pp. 169-174. doi: 10.11648/j.ajim.20190706.16
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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