Evidence map›Paper›PMID 32963992›Full record

ArticleERJ open research2020

Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering.

Claudio Caviezel, Tamara Froehlich, Didier Schneiter, Urs Muehlematter, Thomas Frauenfelder, Laura-Chiara Guglielmetti, Isabelle Opitz, Walter Weder

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Claudio CaviezelDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Tamara FroehlichDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Didier SchneiterDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Urs MuehlematterInstitute for Interventional and Diagnostic Radiology, University Hospital Zurich, Zurich, Switzerland.
Thomas FrauenfelderInstitute for Interventional and Diagnostic Radiology, University Hospital Zurich, Zurich, Switzerland.
Laura-Chiara GuglielmettiDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Isabelle OpitzDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Walter WederDept of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
University Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe key issues for performing lung volume reduction surgery (LVRS) is the identification of the target zones. Recently introduced three-dimensional computed tomography rendering methods are used to identify the morphological distribution and its severity of lung emphysema by densitometry. We demonstrate a new software for emphysema imaging and show the pre- and post-operative results in patients undergoing LVRS planned based on this new technology.

methodsA real-time three-dimensional image analysis software system was used pre- and 3 months post-operatively in five patients with heterogeneous emphysema and a single patient with homogeneous morphology scheduled for LVRS. Focus was on low attenuation areas with <950 HU, distribution on both lungs and the value of the three-dimensional images for planning surgery. Functional outcome was assessed by pulmonary function tests after 3 months.

resultsFive patients underwent bilateral LVRS and one patient had unilateral LVRS. All patients showed a median increase in forced expiratory volume in 1 s of 70% (range 30-120%), compared with baseline values. Hyperinflation (expressed as residual volume/total lung capacity ratio) was reduced by 30% (range 5-32%). In the patients with heterogeneous emphysema, the pre- and post-operative computed tomography scans and the densitometries showed a decrease in low attenuation areas by 23% (right side) and by 17% (left side), respectively.

conclusionWe demonstrate three-dimensional computed tomography-rendered images for planning personalised remodelling of hyperinflated lungs using LVRS. This user-friendly software has the potential to assist surgeons and interventional pulmonologists to select patients and to visualise target areas in LVRS procedures.

Identifiers

PMID32963992
PMCPMC7487346
OpenAlexW3085694632

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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.