Diagnostic performance of spectral CT quantitative parameters in predicting spread through air spaces of lung adenocarcinoma
Weicong Chen, Ziyang Xia, Jinyang Ma, Wang Liu, Bohang Cui, Shuchan Zheng, Qi Wan, Qianyi Li, Yuting Wu, Tao Chen, Tao Ye, Yeqing Zhu, Xinchun Li · 2026
Read Diagnostic performance of spectral CT quantitative parameters in predicting spread through air spaces of lung adenocarcinoma by Weicong Chen, Ziyang Xia, Jinyang Ma, Wang Liu, Bohang Cui, Shuchan Zheng, Qi Wan, Qianyi Li, Yuting Wu, Tao Chen, Tao Ye, Yeqing Zhu, Xinchun Li (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/pmc-13654116.txt.
Description
Weicong Chen and co-authors test whether spectral CT numbers can predict a dangerous growth pattern in lung cancer in a 2026 study. Spread through air spaces worsens outlook in lung adenocarcinoma, and ordinary scan features only partly predict it. The team studied one hundred sixty-four surgical patients with solid or part-solid nodules who had dual-phase spectral scans.
Three models were built: ordinary features alone, spectral measures alone, and both combined. Lobulation, tumor size, and the solid share of the nodule led the ordinary predictors. Two spectral measures, an energy-curve slope in the arterial phase and a venous-phase value, added independent signal. The authors weigh how much the spectral layer truly adds over a good conventional read. The work aims at flagging high-risk nodules before surgery.
Catalog record
| CREATOR | Weicong Chen, Ziyang Xia, Jinyang Ma, Wang Liu, Bohang Cui, Shuchan Zheng, Qi Wan, Qianyi Li, Yuting Wu, Tao Chen, Tao Ye, Yeqing Zhu, Xinchun Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |