Short-term efficacy evaluation of artificial intelligence-based three-dimensional reconstruction of chest CT in segmentectomy: a propensity score-matched study
Xindong Luo, Ziqiang Wang, Wanrong Kang, Yunjiu Gou, Honglai Zhang · 2025
Read Short-term efficacy evaluation of artificial intelligence-based three-dimensional reconstruction of chest CT in segmentectomy: a propensity score-matched study by Xindong Luo, Ziqiang Wang, Wanrong Kang, Yunjiu Gou, Honglai Zhang (2025) 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-12727623.txt.
Description
Xindong Luo and co-authors compared two ways of guiding lung segment surgery, where only the diseased segment of a lobe is removed. One group of patients received AI-built three-dimensional reconstructions from their chest scans before surgery. The other group had a hook-wire placed into the lung under CT guidance to mark the target. Records covered 257 patients, and matching produced 97 comparable pairs.
The AI group had shorter operations, less bleeding, and quicker chest tube removal and discharge. Two patients in the wire group suffered a collapsed lung and four had bleeding into the chest, while the AI group had none. Six months later the AI group also showed better lung function and quality of life. The authors recommend the reconstruction approach.
Catalog record
| CREATOR | Xindong Luo, Ziqiang Wang, Wanrong Kang, Yunjiu Gou, Honglai Zhang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |