CT-based renal and body-composition radiomics model to improve the detection ability of diabetic kidney disease in patients with type 2 diabetes mellitus.
Saved in:
| Title: | CT-based renal and body-composition radiomics model to improve the detection ability of diabetic kidney disease in patients with type 2 diabetes mellitus. |
|---|---|
| Authors: | Hao B; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Sun H; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China.; Department of Radiology, Yucheng Hospital of Traditional Chinese Medicine, Dezhou, China., Yang Z; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Fan J; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Zuo L; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Du P; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Li C; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China., Cai W; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China.; Department of Radiology, Jinan Central Hospital, Jinan, China., Li J; Department of Emergency Medicine, Qilu Hospital of Shandong University, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Jinan, China., Zhou P; Department of Radiology, Jinan Central Hospital, Jinan, China., Tian G; Department of Radiology, Shandong Hexin Hospital Co., Ltd., Weifang, China., Yu D; Department of Radiology, Qilu Hospital of Shandong University, Jinan, China.; Qilu Medical Imaging Research Institute, Shandong University, Jinan, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Aug 03; Vol. 17, pp. 1904758. Date of Electronic Publication: 2026 Aug 03 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1664-2392 |
|---|---|
| DOI: | 10.3389/fendo.2026.1904758 |
