ArticleFrontiers in oncology2025
Short-term efficacy evaluation of artificial intelligence-based three-dimensional reconstruction of chest CT in segmentectomy: a propensity score-matched study.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Artificial intelligence (AI)-based 3D reconstruction software is increasingly used in clinical practice. This study compared its clinical value with CT-guided Hook-wire localization in segmentectomy. Methods: A retrospective analysis was performed on 257 patients who underwent video-assisted thoracoscopic segmentectomy at Gansu Provincial People's Hospital from January 2023 to August 2024. Patients were divided into an AI-3D group (134 cases, receiving preoperative AI-assisted 3D reconstruction) and a Hook-wire group (123 cases, undergoing Hook-wire localization). Results: Propensity score matching ensured comparability, with 97 pairs matched. Perioperative indicators, pulmonary function, and quality of life were evaluated. After matching, the Hook-wire group had 2 pneumothorax and 4 hemothorax cases, while the AI-3D group had none. The AI-3D group showed significantly shorter operative time, chest tube indwelling time, and hospital stay, along with less intraoperative blood loss and drainage volume. No significant differences were found in postoperative complications or lymph nodes dissected. Six months post-surgery, the AI-3D group had better pulmonary function and quality of life scores. Conclusion: Thus, AI-based 3D reconstruction enables safe, effective segmentectomy with minimal impact on pulmonary function, showing good clinical value.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.