Lin Xi | Ultrasound and Electrocardiogram | Sun Yat-sen University Cancer Center-Sun Yat-sen University Cancer Center

Name: Lin Xi

Title: Chief Physician, Vice Director of Ultrasound Department

Email: linxi@sysucc.org.cn

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Dr. Lin Xi has been working in the Ultrasound Diagnosis and Interventional Treatment at Sun Yat-sen University Cancer Center since she graduated from undergraduate program from Sun Yat-sen University in 2002. She has been a chief physician in Ultrasound Diagnosis and Interventional Treatment since January 2018, as well as a supervisor of PhD student. She is also a chairman of Guangdong Association of Ultrasound in Medicine and Engineering; a vice chairman of the Fourth Superficial Organ and Peripheral Vessel Ultrasound Professional Committee of the Chinese Society of Ultrasound Medical Engineering; a vice chairman of the Ultrasound Medicine Professional Committee of Guangdong Medical Education Association; a member of the Ultrasound Medicine Expert Committee for the National Health Commission Capacity Building and Continuing Education Center.

Dr. Lin specializes in ultrasound diagnosis and interventional treatment of such cancer as hepatobiliary cancer, urinary system cancer, breast cancer, thyroid cancer, lymphoma and gynecological cancers. She has extensive experience in conducting in-depth research on the early diagnosis of breast cancer and other superficial organ tumors. Her SCI papers have been published in world renowned journals such as Nature Communications, Radiology Artificial Intelligence, Medical Image Analysis. The research finding (Tang et al. Korean J Radiol. 2020 May) was cited at the section of Automated Breast Ultrasound and handheld ultrasound in the BI-RADS atlas (version 6).

Interests

Early ultrasound diagnosis of breast tumors, including related clinical and basic research work. Application of artificial intelligence in tumors such as breast and ovarian cancer.

Education

2008/09–2011/06,Sun Yat-sen University,MD in Oncology

2005/09–2008/06,Sun Yat-sen University,MS in Medical Imaging & Nuclear Medicine

1997/09–2002/06,Sun Yat-sen University School of Medicine,BS in Medical Imaging & Nuclear Medicine

Publications

1. Xiang H, Xiao Y, Li F, Li C, Liu L, Deng T, Yan C, Zhou F, Wang X, Ou J, Lin Q, Hong R, Huang L, Luo L, Lin H,Lin X, Chen H. Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis. Nat Commun. 2024 Mar 27;15(1):2681.

2. Xiang H#, Wang X#, Xu M, Zhang Y, Zeng S, Li C, Liu L, Deng T, Tang G, Yan C, Ou J, Lin Q, He J, Sun P, Li A, Chen H, Heng PA,Lin X*. Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study.Radiol Artif Intell. 2023 Jul 12;5(5):e220185.

3. Li C, Li R, Ou J, Li F, Deng T, Yan C, Lin Q, Hong R, Han F, Xiang H, Lu Y,Lin X. Quantitative vascular feature-based multimodality prediction model for multi-origin malignant cervical lymphadenopathy.EClinicalMedicine. 2025 Feb 12;81:103085.

4. Wang X#,Chen H*, Xiang H, Lin H,Lin X*, Heng PA. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.Med Image Anal. 2021 May;70:102010.

5. Tang G#, An X, Xiang H, Liu L, Li A,Lin X*. Automated Breast Ultrasound: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features.Korean journal of radiology 2020, 21(5): 550-560.

6. Deng T, Yan CJ, Lin QG, Xiang HL, Ou JJ, Li CY, Zhang LX, Sun P,Lin X. Glandular Tissue Component on Breast Ultrasound: Association with Survival Outcomes in Women with Invasive Breast Cancer.Acad Radiol. 2025 Dec 19; S1076-6332(25)01132-8.

7. Deng T, Liang J, Yan C, Ni M, Xiang H, Li C, Ou J, Lin Q, Liu L, Tang G, Luo R, An X, Gao Y, Lin X. Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer.Cancer Imaging. 2024 Feb 29;24(1):31.

8. Xiang H#, Huang YS, Lee CH, Chang Chien TY, Lee CK, Liu L, Li A,Lin X*, Chang RF*. 3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis. Eur J Radiol. 2021 May;138:109608.

9. Wu X#, Zhang X#, Yu L#, Zhang C, Ye L, Ren D, Li Y, Sun X, Yu L, Ouyang Y, Chen X, Song L, Liu P*,Lin X*. Zinc finger protein 367 promotes metastasis by inhibiting the Hippo pathway in breast cancer.Oncogene 2020, 39(12): 2568-2582.

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