Amygdala's T1-weighted image radiomics outperforms volume for differentiation of anxiety disorder and its subtype
Bibliographic Data
| ID | 15524844 |
|---|---|
| Authors | Qingfeng Li (0000-0002-6390-6921, Shanghai Jiao Tong University), Wenzheng Wang (0000-0002-0278-6751, Shanghai Jiao Tong University), Zhishan Hu (0000-0002-8475-3047, Shanghai Jiao Tong University, corresponding author) |
| Year | 2023 |
| Volume | 14 |
| Pages | 1091730-1091730 |
| Publication date | 2023-02-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2023.1091730 |
| PMID | 36911127 |
| OpenAlex | W4321789105 |
| Language | EN |
| References cited | 47 |
Our study suggest that radiomics features of bilateral amygdala potentially could serve as a basis for the clinical diagnosis of anxiety disorder
Amygdala · Anxiety · Generalized anxiety disorder · Psychiatry · Radiomics · Volume (thermodynamics · Advanced X-ray and CT Imaging · Clinical Psychology · Computer Science · Infrared Thermography in Medicine · Medicine · Neuroscience · Psychology · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |