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Artificial Intelligence System Improved the Microwave Ablation Effect of Hepatocellular Carcinoma for Less-Experienced Doctors

35 Pages Posted: 23 Jun 2023

See all articles by Wenzhen Ding

Wenzhen Ding

Government of the People's Republic of China - Department of Interventional Ultrasound

Hao Wei

Southeast University - School of Biological Science and Medical Engineering

Xiaoling Yu

Government of the People's Republic of China - Department of Interventional Ultrasound

Zhiyu Han

Government of the People's Republic of China - Department of Interventional Ultrasound

Fangyi Liu

Government of the People's Republic of China - Department of Interventional Ultrasound

Tianan Jiang

Zhejiang University - Department of Ultrasound

Gaiqin Xue

Shanxi Provincial People's Hospital - Department of Ultrasound

Man Lu

Sichuan Province Cancer Hospital - Department of Ultrasound

Qinghua Huang

Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics

Jie Yu

Shanxi Provincial People's Hospital - Department of Ultrasound; Government of the People's Republic of China - Department of Interventional Ultrasound

Ping Liang

Shanxi Provincial People's Hospital - Department of Ultrasound

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Abstract

Background: Complete eradication of hepatocellular carcinoma (HCC) through ablation is highly dependent on doctors’ experience and tumor location. Our purpose is to develop an artificial intelligence-assisted microwave ablation planning system (MWA-PS) to improve ablation treatment effect.

Methods: Pre-ablative image (contrast-enhanced ultrasound or computerized tomography/ magnetic resonance imaging), clinical information and ablation parameters were collected from one center and used to build MWA-PS by multilayer perceptron, XGBoosting, gate recurrent unit, and long short-term memory network (LSTM). HCCs from four centers were collected as prospective cohort (NCT 05270642) to compare the local tumor progression (LTP), technical effective, complication and mean ablation energy among experienced-doctor (ED), less-experienced-doctor (LED) and less-experienced-doctor with MWA-PS (MWA-PS) groups.

Findings: 875 HCCs were collected and divided into training (n=788) and validation (n=87) sets. LSTM showed best performance in training and validation sets, and was used to build MWA-PS. MWA-PS could provide ablation power, time, needle number, type, and distance for each ablation process. 388 HCCs were prospectively collected and randomly divided into ED (n=130), LED (n=128) and MWA-PS (n=130) groups. With 15.3 months median follow-up, MWA-PS group showed lower LTP than LED group (4.7%vs11.6%, p=0.041) and comparable LTP to ED group (4.7%vs5.5%, p=0.770). For HCCs adjacent to capsule/vessels, MWA-PS group showed relatively lower LTP than LED group (6.3%vs20.7%, p=0.096) and even slight lower than ED group (6.3%vs9.7%, p=0.600). Three groups achieved comparable technical effective and complication rate, but mean ablation energy of MWA-PS group was lower than LED and ED groups (28±10kJ vs 38±26kJ, p<0.001; 28±10kJ vs 34±16kJ, p<0.001).

Interpretation: Artificial intelligence system can help less-experienced doctors achieve comparable local tumor-control effect eradication ability to experienced doctors, especially for HCCs adjacent to capsule/vessels.

Trial Registration: The study was registered at Clinical Trial (NCT05270642).

Funding: National Key Research and Development Program of China NO.2022YFC2405500; National Natural Science Foundation of China NO.92159305, 12126607, 82030047; PLA health special Foundation NO.20BJZ42.

Declaration of Interest: All authors disclosed no relevant relationships.

Ethical Approval: Approved by the ethics committees of four hospitals (hospitals are listed in supplementary material).

Keywords: Hepatocellular carcinoma, Microwave ablation, Artificial intelligence

Suggested Citation

Ding, Wenzhen and Wei, Hao and Yu, Xiaoling and Han, Zhiyu and Liu, Fangyi and Jiang, Tianan and Xue, Gaiqin and Lu, Man and Huang, Qinghua and Yu, Jie and Liang, Ping, Artificial Intelligence System Improved the Microwave Ablation Effect of Hepatocellular Carcinoma for Less-Experienced Doctors. Available at SSRN: https://ssrn.com/abstract=4487128 or http://dx.doi.org/10.2139/ssrn.4487128

Wenzhen Ding

Government of the People's Republic of China - Department of Interventional Ultrasound ( email )

Hao Wei

Southeast University - School of Biological Science and Medical Engineering ( email )

Xiaoling Yu

Government of the People's Republic of China - Department of Interventional Ultrasound ( email )

Zhiyu Han

Government of the People's Republic of China - Department of Interventional Ultrasound ( email )

Fangyi Liu

Government of the People's Republic of China - Department of Interventional Ultrasound ( email )

Tianan Jiang

Zhejiang University - Department of Ultrasound ( email )

Gaiqin Xue

Shanxi Provincial People's Hospital - Department of Ultrasound ( email )

Man Lu

Sichuan Province Cancer Hospital - Department of Ultrasound ( email )

Qinghua Huang

Sun Yat-sen University (SYSU) - Department of Medical Ultrasonics ( email )

Jie Yu

Shanxi Provincial People's Hospital - Department of Ultrasound ( email )

Government of the People's Republic of China - Department of Interventional Ultrasound ( email )

Ping Liang (Contact Author)

Shanxi Provincial People's Hospital - Department of Ultrasound ( email )