Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3 CT Scan
Purpose. Body composition analysis in colorectal cancer (CRC) typically utilises a single 2D-abdominal axial CT slice taken at the mid-L3 level. The use of artificial intelligence (AI) allows for analysis of the entire L3 vertebra (non-mid-L3 and mid-L3). The goal of this study was to determine if t...
Saved in:
| Main Authors: | Ke Cao, Josephine Yeung, Yasser Arafat, Matthew Y. K. Wei, Justin M. C. Yeung, Paul N. Baird |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Radiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2023/1047314 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dose estimation in abdominal CT scans using CT-Exposoftware
by: Daiane Cristini Barbosa Souza, et al.
Published: (2022-12-01) -
3D Vertebrae CT Images Reconstruction and Visualization with Optimized Marching Cubes Algorithm
by: LIU Xia, et al.
Published: (2019-12-01) -
The Importance of Chest CT Scan in COVID-19
by: Eric Daniel Tenda, et al.
Published: (2020-04-01) -
Peran CT Scan dalam Penilaian Timoma
by: Aziza Icksan, et al.
Published: (2008-06-01) -
Study for pediatric protocol optimization in chest CT scans
by: Marcel Javier FREDERICO, et al.
Published: (2019-01-01)