Validation of aortic valve calcification quantification on contrast-enhanced computed tomography against ex vivo gravimetric analysis: comparison of fixed Hounsfield unit thresholds and deep learning segmentation
Daisong Jiang, Wanting Zhang, Lulu Liu, Geng Li, Xiaoke Shang, Nianguo Dong, Ye Yang, Jian Yang, Haibo Zhang, Qing Zhou, Chao Jian, Yuan Zhao, Buqing Ni, Yongfeng Shao, Jian Liu, Zhong Wu · 2026
Read Validation of aortic valve calcification quantification on contrast-enhanced computed tomography against ex vivo gravimetric analysis: comparison of fixed Hounsfield unit thresholds and deep learning segmentation by Daisong Jiang, Wanting Zhang, Lulu Liu, Geng Li, Xiaoke Shang, Nianguo Dong, Ye Yang, Jian Yang, Haibo Zhang, Qing Zhou, Chao Jian, Yuan Zhao, Buqing Ni, Yongfeng Shao, Jian Liu, Zhong Wu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13531888.txt.
Description
Daisong Jiang and co-authors settle in 2026 how to measure valve calcium on contrast scans by weighing real calcium from removed valves. Past checks leaned on another scan estimate as truth. Fifty surgical patients had their excised leaflets burned and weighed precisely, giving an absolute reference for two brightness cutoffs and a learning model.
The deep learning model tracked weighed calcium most closely, with the smallest error and bias. The higher fixed cutoff came second, while the lower cutoff overestimated and skewed with size. The authors back learning-based measurement for planning valve replacement.
Catalog record
| CREATOR | Daisong Jiang, Wanting Zhang, Lulu Liu, Geng Li, Xiaoke Shang, Nianguo Dong, Ye Yang, Jian Yang, Haibo Zhang, Qing Zhou, Chao Jian, Yuan Zhao, Buqing Ni, Yongfeng Shao, Jian Liu, Zhong Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42592 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |