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European Radiology
Published in: European Radiology 6/2019

01-06-2019 | Ultrasound

Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma

Authors: Hang-tong Hu, Zhu Wang, Xiao-wen Huang, Shu-ling Chen, Xin Zheng, Si-min Ruan, Xiao-yan Xie, Ming-de Lu, Jie Yu, Jie Tian, Ping Liang, Wei Wang, Ming Kuang

Published in: European Radiology | Issue 6/2019

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Abstract

Purpose

To develop an ultrasound (US)-based radiomics score for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).

Methods

Between January 1, 2012, and October 31, 2017, a total of 482 HCC patients who underwent contrast-enhanced ultrasound (CEUS) were retrospectively reviewed. The study population was divided into a training cohort (n = 341) and a validation cohort (n = 141) based on a cutoff time of January 1, 2016. Radiomics features were extracted from the grayscale US images of HCC. After features selection, a radiomics score was developed from the training cohort. The incremental value of the radiomics score to the clinic-pathological factors for MVI prediction was assessed in the validation cohort with respect to discrimination, calibration, and clinical usefulness.

Results

The US-based radiomics score consisted of six selected features. Multivariate logistic regression analysis showed that the radiomics score, alpha-fetoprotein (AFP), and tumor size were independent predictors of MVI. The radiomics nomogram (based on the three factors) showed better performance for MVI detection (area under the curve [AUC] 0.731[0.647, 0.815] than the clinical nomogram (based on AFP and tumor size) (0.634 [0.543, 0.724]) (p = 0.015). Both nomograms showed good calibration. Decision curve analysis demonstrated that in terms of clinical usefulness, the radiomics nomogram outperformed the clinical nomogram.

Conclusion

The US-based radiomics score was an independent predictor of MVI in HCC. Combining the radiomics score with clinical factors improved the prediction efficacy.

Key points

• Radiomics can be applied in US images.
• US-based radiomics score was an independent predictor of MVI.
• Radiomics nomogram incorporated with the radiomics score showed good performance for MVI prediction.
Appendix
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Metadata
Title
Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma
Authors
Hang-tong Hu
Zhu Wang
Xiao-wen Huang
Shu-ling Chen
Xin Zheng
Si-min Ruan
Xiao-yan Xie
Ming-de Lu
Jie Yu
Jie Tian
Ping Liang
Wei Wang
Ming Kuang
Publication date
01-06-2019
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 6/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-018-5797-0

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Correction

Correction to: Effect of training on ultrasonography (US) BI-RADS features for radiology residents: a multicenter study comparing performances after training