Evidence map›Paper›PMID 42846023›Full record

ArticleFrontiers in radiology2026

Surgical management of delayed air leakage following radiofrequency ablation for non-small cell lung cancer: a case report.

Luca Frasca, Ilaria Suriano, Antonio Sarubbi, Filippo Longo, Vincenzo Canalella, Eliodoro Faiella, Rosario Francesco Grasso, Pierfilippo Crucitti

Abstract readCase Reports
In one paragraph

Article in Frontiers in radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Luca FrascaDepartment of Thoracic Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Ilaria SurianoDepartment of Thoracic Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Antonio SarubbiMaster's Degree Program in Medicine and Surgery, Campus Bio-Medico University, Rome, Italy.
Filippo LongoDepartment of Thoracic Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Vincenzo CanalellaDepartment of Thoracic Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Eliodoro FaiellaDepartment of Radiology and Interventional Radiology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Rosario Francesco GrassoDepartment of Radiology and Interventional Radiology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Pierfilippo CrucittiDepartment of Thoracic Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the case of a 68-year-old male with a history of urothelial carcinoma and severe emphysema who developed a delayed pneumothorax following CT-guided radiofrequency ablation (RFA) of a pulmonary squamous cell carcinoma. Conservative management with chest drainage failed to resolve the air leak. Surgical revision via uniportal video-assisted thoracic surgery (UVATS) allowed identification of a necrotic subpleural lesion with active air leakage. Hemostatic and sealing agents (Hemopatch® and Tisseel®) were applied with long-term resolution of the complication. This case underscores the importance of surgical intervention in selected cases of persistent air leak post-RFA and the potential efficacy of biologic sealants when resection is not feasible.

Indexed as

biologic sealantdelayed pneumothoraxinterventional radiologynon-small cell lung cancerpersistent air leakradiofrequency ablationUVATS

Identifiers

PMID42846023
PMCPMC13642827

What OpenQuestion holds

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Registered trials

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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.