1
|
Zhou H, Ding J, Zhou Y, Wang Y, Zhao L, Shih CC, Xu J, Wang J, Tong L, Chen Z, Lin Q, Jing X. Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning. BMC Med Imaging 2024; 24:68. [PMID: 38515044 PMCID: PMC10956289 DOI: 10.1186/s12880-024-01247-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver lesion characterization, given it allows real-time scanning and provides dynamic tissue perfusion information. An accurate diagnosis of liver lesions with CEUS requires a precise interpretation of CEUS images. However,it is a highly experience dependent task which requires amount of training and practice. To help improve the constrains, this study aims to develop an end-to-end method based on deep learning to make malignancy diagnosis of liver lesions using CEUS. METHODS A total of 420 focal liver lesions with 136 benign cases and 284 malignant cases were included. A deep learning model based on a two-dimensional convolution neural network, a long short-term memory (LSTM), and a linear classifier (with sigmoid) was developed to analyze the CEUS loops from different contrast imaging phases. For comparison, a 3D-CNN based method and a machine-learning (ML)-based time-intensity curve (TIC) method were also implemented for performance evaluation. RESULTS Results of the 4-fold validation demonstrate that the mean AUC is 0.91, 0.88, and 0.78 for the proposed method, the 3D-CNN based method, and the ML-based TIC method, respectively. CONCLUSIONS The proposed CNN-LSTM method is promising in making malignancy diagnosis of liver lesions in CEUS without any additional manual features selection.
Collapse
Affiliation(s)
- Hongyu Zhou
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Jianmin Ding
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Yan Zhou
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Yandong Wang
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Lei Zhao
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | | | - Jingping Xu
- Philips Ultrasound R&D Research, Shanghai, China
| | - Jianan Wang
- Philips Ultrasound R&D Research, Shanghai, China
| | - Ling Tong
- Philips Ultrasound R&D Research, Shanghai, China
| | - Zhouye Chen
- Philips Ultrasound R&D Research, Shanghai, China
| | - Qizhong Lin
- Philips Ultrasound R&D Research, Shanghai, China
| | - Xiang Jing
- The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China.
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China.
- Artificial Cell Engineering Technology Research Center, Tianjin, China.
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
| |
Collapse
|
2
|
Waldner MJ, Strobel D. Ultrasound Diagnosis of Hepatocellular Carcinoma: Is the Future Defined by Artificial Intelligence? ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2024; 45:8-12. [PMID: 38301631 DOI: 10.1055/a-2171-2674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Affiliation(s)
| | - Deike Strobel
- Medical Clinic 1, Erlangen University Hospital, Erlangen, Germany
| |
Collapse
|