ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2024
Preoperative computed tomography-guided localization of pulmonary ground‑glass nodules: a comparison of conventional and soft hook‑wires.
Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Preoperative computed tomography-guided localization of pulmonary nodules: comparison between tailed coil and suture anchor localization.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2026Article
- Comparison of CT-guided suture hook anchor and indocyanine green localization for multiple pulmonary nodules.Frontiers in oncology · 2026Article
- Computed tomography-guided suture anchor localizer placement for multiple pulmonary nodule localization.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2025Article
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
introductionHook-wire (HW) localization is the most frequently employed approach for preoperative localization of pulmonary ground-glass nodules (GGNs); however, the relative outcomes of conventional and soft HW localization of GGNs remain poorly understood.
aimThis study sought to compare the safety and efficacy of preoperative computed tomography-guided conventional and soft HW localization of pulmonary GGNs. MATERIALS AND
methodsBetween January 2023 and June 2024, consecutive patients with pulmonary GGNs underwent conventional or soft HW localization prior to video-assisted thoracoscopic surgery. Safety and clinical efficacy of these 2 localization strategies were compared.
resultsIn total, 88 patients underwent conventional HW localization of 95 GGNs, and 82 patients underwent soft HW localization of 88 GGNs. Technical success rates for the conventional and soft HW groups were 96.8% and 100%, respectively (P = 0.25), and the duration of localization was similar in both groups (mean [SD], 10.1 [4.5] vs 10 [5.9] min; P = 0.97). Complications were significantly more common in the conventional HW group than in the soft HW group (48.9% vs 32.9%, respectively; P = 0.04). Visual analog scale scores in the conventional HW group were significantly higher than those observed in the soft HW group (mean [SD], 4.6 [0.6] vs 3.4 [0.6]; P = 0.001). The rates of technical success for limited resection procedures were similar in both groups (96.8% vs 100% in the conventional and soft HW groups, respectively; P >0.99).
conclusionsConventional and soft HW strategies can both effectively facilitate preoperative pulmonary GGN localization, but the soft HW approach has a more favorable safety profile.
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.