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The Influence of Liver Resection on Intrahepatic Tumor Growth

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Ultrasound-based Radiomics Analysis for Assessing Risk Factors Associated With Early Recurrence Following Surgical

Kunpeng Cao¹, Xinyue Wang¹, Chaoli Xu¹

¹Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Ultrasound in Medicine & Biology

|September 27, 2024

Summary

Ultrasound radiomics accurately predicts early hepatocellular carcinoma (HCC) recurrence after surgery. A combined clinical-ultrasonic-radiomics model demonstrated high diagnostic performance, offering a reliable tool for risk assessment.

Keywords:

Early recurrence Hepatocellular carcinoma Radiomics Ultrasound

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Evaluation of the Feasibility, Safety, and Accuracy of an Intraoperative High-intensity Focused Ultrasound Device for Treating Liver Metastases

Evaluation of the Feasibility, Safety, and Accuracy of an Intraoperative High-intensity Focused Ultrasound Device for Treating Liver Metastases

Published on: January 9, 2019

Area of Science:

Hepatobiliary Surgery
Medical Imaging
Oncology

Background:

Hepatocellular carcinoma (HCC) is a primary liver malignancy.
Early recurrence after surgical resection remains a significant challenge.
Accurate prediction of recurrence is crucial for patient management.

Purpose of the Study:

To evaluate the efficacy of ultrasound-based radiomics for predicting early recurrence of HCC post-surgery.
To develop and validate predictive models incorporating clinical, ultrasonic, and radiomics features.

Main Methods:

Retrospective analysis of 127 HCC patients undergoing surgical resection.
Extraction of radiomics features from preoperative ultrasound images.
Development of logistic regression models (clinical-ultrasonic, ultrasonic radiomics, combined) and a nomogram for recurrence prediction.

Main Results:

The combined clinical-ultrasonic-radiomics model (Model 3) achieved the highest diagnostic performance (AUC 0.907 training, 0.925 validation).
Model 3 demonstrated high sensitivity (up to 83.3%) and specificity (up to 100.0%) for predicting early recurrence.
The combined model significantly outperformed models using only clinical-ultrasonic or radiomics features.

Conclusions:

A preoperative clinical-ultrasonic-radiomics model shows promise as a reliable tool for predicting early HCC recurrence.
This approach can aid in identifying high-risk patients for closer monitoring or adjuvant therapy.
Ultrasound radiomics offers valuable insights into predicting HCC recurrence post-surgical resection.