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Radiomics features based on dual-area CT predict the expression levels of fatty acid binding protein 4 and outcome in hepatocellular carcinoma

  • Hepatobiliary
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Abdominal Radiology Aims and scope Submit manuscript

Abstract

Rationale and objectives

To evaluate the predictive value of tumor and peritumor radiomics in the fatty acid binding protein 4 (FABP4) expression levels and overall survival in patients with hepatocellular carcinoma.

Materials and methods

The genomic data of HCC patients were obtained from The Cancer Genome Atlas. The Dual-area CT images of corresponding patients were downloaded from The Cancer Imaging Archive, for radiomics feature extraction, model construction and prognosis analysis. Simultaneously, using patients from Sichuan Provincial People’s Hospital, the prognostic value of the radiomics model in HCC patients was validated.

Results

In the TCIA database, the area under the curve (AUC) values of the volumes of interest (VOI)whole model in the training set and internal validation set were 0.812 and 0.754, respectively, and the AUC value of VOIwhole+periphery in the training set and internal validation set were 0.866 and 0.779, respectively. In the VOIwhole and the VOIwhole+periphery model of the independent cohort, there were significant differences in OS between the high and low rad-score groups (P = 0.009, P = 0.021, respectively). Significant positive correlations can be observed between FABP4 expression and correlations with rad-score of VOIwhole model (r = 0.691) and VOIwhole+periphery model (r = 0.732) in the independent cohort.

Conclusion

Radiomics models of tumor and peritumor Dual-area CT images could predict stably the expression levels of FABP4 and may be helping in personalized treatment strategies.

Graphical abstract

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Funding

This work was funded by Sichuan Province Science and Technology Support Program (Grant No. 2022YFS0093) and Youth Fund of Sichuan Provincial People’s Hospital (Grant No. 2022QN26).

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Author notes

  1. Jingyu Wen and Xi Wang have equally contributed to this work and share first authorship.

Authors and Affiliations

  1. Department of Medical Insurance, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China

    Jingyu Wen & Mingge Xia

  2. School of Medicine, University of Electronic Science and Technology of China, Chengdu, China

    Xi Wang, Bowen Wei & Hongji Yang

  3. Department of Organ Transplantation, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China

    Xi Wang, Bowen Wei, Hongji Yang & Yifu Hou

  4. Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province & Organ Transplantation Center, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China

    Hongji Yang & Yifu Hou

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  1. Jingyu Wen
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  2. Xi Wang
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Correspondence to Yifu Hou.

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Wen, J., Wang, X., Xia, M. et al. Radiomics features based on dual-area CT predict the expression levels of fatty acid binding protein 4 and outcome in hepatocellular carcinoma. Abdom Radiol (2024). https://doi.org/10.1007/s00261-023-04177-5

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  • DOI: https://doi.org/10.1007/s00261-023-04177-5

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