Personalized adrenal gland volume reference ranges and development of a fully automated deep learning screening tool
This study developed individualized adrenal gland volume reference ranges and a low-dose CT-based deep learning tool for automated measurement. The screening tool shows potential to assist in identifying adrenal abnormalities and may provide a methodological basis for future clinical evaluation and application.
Authors
- Hang Shen (ORCID: https://orcid.org/0000-0002-8804-2787)
- Ying Jing (ORCID: https://orcid.org/0000-0003-0295-760X)
- Ting Luo (ORCID: https://orcid.org/0000-0002-9670-4031)
- Yingnan Zhao (ORCID: https://orcid.org/0009-0008-1706-7929)
- Huali Tang (ORCID: https://orcid.org/0000-0002-5233-0920)
- Xiaofang Zhao (ORCID: https://orcid.org/0000-0002-6066-6571)
- Caihong Li (ORCID: https://orcid.org/0000-0003-0255-9249)
- Yun Mao (ORCID: https://orcid.org/0000-0002-3326-4729)
- Yi Li
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Jiangmen Central Hospital (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112591
- Citations
- 1
- Primary Topic
- Adrenal and Paraganglionic Tumors
- Type
- article
- Field-Weighted Citation Impact
- 2.01